2025-03-21T20:17:33.5914884Z Current runner version: '2.322.0'
2025-03-21T20:17:33.5926367Z Runner name: 'i-079f466f7fc42d367'
2025-03-21T20:17:33.5927941Z Runner group name: 'Default'
2025-03-21T20:17:33.5929941Z Machine name: 'ip-10-0-48-182'
2025-03-21T20:17:33.5935721Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:33.5940137Z Contents: read
2025-03-21T20:17:33.5941224Z Metadata: read
2025-03-21T20:17:33.5942365Z ##[endgroup]
2025-03-21T20:17:33.5947670Z Secret source: Actions
2025-03-21T20:17:33.5949052Z Prepare workflow directory
2025-03-21T20:17:34.1545357Z Prepare all required actions
2025-03-21T20:17:34.1610098Z Getting action download info
2025-03-21T20:17:34.3934729Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:34.7200791Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:17:49.3864718Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:17:49.7583019Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:17:49.8877594Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:17:50.3151061Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:17:50.6165320Z Getting action download info
2025-03-21T20:17:50.7701258Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:17:50.7704363Z ##[group] Inputs
2025-03-21T20:17:50.7706966Z   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}"

2025-03-21T20:17:50.7710270Z   timeout: 90
2025-03-21T20:17:50.7710655Z   runner: linux.arm64.2xlarge
2025-03-21T20:17:50.7711106Z   upload-artifact: 
2025-03-21T20:17:50.7711936Z   upload-artifact-to-s3: false
2025-03-21T20:17:50.7712398Z   download-artifact: 
2025-03-21T20:17:50.7712772Z   repository: 
2025-03-21T20:17:50.7713142Z   fetch-depth: 1
2025-03-21T20:17:50.7713524Z   submodules: true
2025-03-21T20:17:50.7713950Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:17:50.7714498Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:17:50.7714989Z   test-infra-ref: 
2025-03-21T20:17:50.7715433Z   docker-image: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:50.7715992Z   docker-build-dir: .ci/docker
2025-03-21T20:17:50.7716428Z   gpu-arch-type: cpu
2025-03-21T20:17:50.7716811Z   gpu-arch-version: 
2025-03-21T20:17:50.7717212Z   job-name: linux-job
2025-03-21T20:17:50.7717626Z   continue-on-error: false
2025-03-21T20:17:50.7718075Z   binary-matrix: 
2025-03-21T20:17:50.7718510Z   run-with-docker: true
2025-03-21T20:17:50.7718905Z   secrets-env: 
2025-03-21T20:17:50.7719269Z   no-sudo: false
2025-03-21T20:17:50.7719632Z ##[endgroup]
2025-03-21T20:17:50.7720207Z Complete job name: test-models-linux-aarch64 (mobilebert, portable) / linux-job
2025-03-21T20:17:50.8430089Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:17:50.8652242Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:17:50.8665468Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:17:50.8666481Z ##[endgroup]
2025-03-21T20:17:52.4601405Z Runner Type: linux.arm64.2xlarge
2025-03-21T20:17:52.4602065Z Instance Type: t4g.2xlarge
2025-03-21T20:17:52.4602469Z AMI Name: unknown
2025-03-21T20:17:52.4643927Z AMI ID: ami-0eae2a0fc13b15fce
2025-03-21T20:18:00.5237361Z ##[group]Run set -euxo pipefail
2025-03-21T20:18:00.5238344Z set -euxo pipefail
2025-03-21T20:18:00.5239626Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:18:00.5240338Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:18:00.5241173Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:00.5241850Z else
2025-03-21T20:18:00.5242365Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:18:00.5243153Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:00.5243789Z fi
2025-03-21T20:18:00.5244252Z 
2025-03-21T20:18:00.5244758Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:18:00.5245422Z echo "::endgroup::"
2025-03-21T20:18:00.5261710Z shell: /usr/bin/bash -e {0}
2025-03-21T20:18:00.5262225Z env:
2025-03-21T20:18:00.5262702Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:00.5263563Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:00.5264157Z   PR_NUMBER: 
2025-03-21T20:18:00.5266956Z   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}"

2025-03-21T20:18:00.5269966Z   NO_SUDO: false
2025-03-21T20:18:00.5270431Z ##[endgroup]
2025-03-21T20:18:00.5315088Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:18:00.5337901Z ##[group]Cleanup with-sudo debug output
2025-03-21T20:18:00.5343003Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:18:00.5343748Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
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2025-03-21T20:18:00.9021804Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoCcBot.test.ts'
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2025-03-21T20:18:00.9026010Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts'
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2025-03-21T20:18:00.9031909Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/common.ts'
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2025-03-21T20:18:00.9068034Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
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2025-03-21T20:18:00.9073724Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
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2025-03-21T20:18:00.9085153Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/labelCommands.test.ts'
2025-03-21T20:18:00.9086522Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
2025-03-21T20:18:00.9087865Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/metricUtils.test.ts'
2025-03-21T20:18:00.9089139Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/reporter.js'
2025-03-21T20:18:00.9090488Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/retryBot.test.ts'
2025-03-21T20:18:00.9091826Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:18:00.9093068Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:18:00.9094662Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:18:00.9096070Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:18:00.9097662Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:18:00.9099189Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:18:00.9100552Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
2025-03-21T20:18:00.9101768Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.ts'
2025-03-21T20:18:00.9103114Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2025-03-21T20:18:00.9104572Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/wehookToDynamoBot.test.ts'
2025-03-21T20:18:00.9105867Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:18:00.9107044Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
2025-03-21T20:18:00.9108261Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types/next-auth-d.ts'
2025-03-21T20:18:00.9109494Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:18:00.9110640Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:18:00.9111750Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:18:00.9112824Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:00.9113826Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:18:00.9114765Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:18:00.9116772Z ##[endgroup]
2025-03-21T20:18:00.9269730Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:00.9270245Z with:
2025-03-21T20:18:00.9270625Z   repository: pytorch/test-infra
2025-03-21T20:18:00.9271070Z   path: test-infra
2025-03-21T20:18:00.9271443Z   submodules: recursive
2025-03-21T20:18:00.9272071Z   token: ***
2025-03-21T20:18:00.9272410Z   ssh-strict: true
2025-03-21T20:18:00.9272756Z   ssh-user: git
2025-03-21T20:18:00.9273112Z   persist-credentials: true
2025-03-21T20:18:00.9273506Z   clean: true
2025-03-21T20:18:00.9273874Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:00.9274304Z   fetch-depth: 1
2025-03-21T20:18:00.9274656Z   fetch-tags: false
2025-03-21T20:18:00.9275014Z   show-progress: true
2025-03-21T20:18:00.9275374Z   lfs: false
2025-03-21T20:18:00.9275722Z   set-safe-directory: true
2025-03-21T20:18:00.9276099Z env:
2025-03-21T20:18:00.9276497Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:00.9277042Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:00.9277491Z   PR_NUMBER: 
2025-03-21T20:18:00.9279960Z   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}"

2025-03-21T20:18:00.9282484Z ##[endgroup]
2025-03-21T20:18:01.0833676Z Syncing repository: pytorch/test-infra
2025-03-21T20:18:01.0834909Z ##[group]Getting Git version info
2025-03-21T20:18:01.0835682Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:01.0836762Z [command]/usr/bin/git version
2025-03-21T20:18:01.0837192Z git version 2.47.1
2025-03-21T20:18:01.0860618Z ##[endgroup]
2025-03-21T20:18:01.0882416Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c1fd73bf-39e3-406d-8d35-c2c4d6203015' before making global git config changes
2025-03-21T20:18:01.0884253Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:01.0893523Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:01.0942540Z ##[group]Initializing the repository
2025-03-21T20:18:01.0951867Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:01.0996802Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:01.0997805Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:01.0998650Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:01.0999299Z hint:
2025-03-21T20:18:01.0999809Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:01.1000406Z hint:
2025-03-21T20:18:01.1001006Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:01.1001867Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:01.1002530Z hint:
2025-03-21T20:18:01.1002927Z hint: 	git branch -m <name>
2025-03-21T20:18:01.1003787Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:18:01.1019187Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:18:01.1059271Z ##[endgroup]
2025-03-21T20:18:01.1059940Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:01.1069470Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:01.1111366Z ##[endgroup]
2025-03-21T20:18:01.1112092Z ##[group]Setting up auth
2025-03-21T20:18:01.1122118Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:01.1164586Z [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' || :"
2025-03-21T20:18:01.1538349Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:01.1578237Z [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' || :"
2025-03-21T20:18:01.1946665Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:01.2006873Z ##[endgroup]
2025-03-21T20:18:01.2007602Z ##[group]Determining the default branch
2025-03-21T20:18:01.2010473Z Retrieving the default branch name
2025-03-21T20:18:01.3990239Z Default branch 'main'
2025-03-21T20:18:01.3991169Z ##[endgroup]
2025-03-21T20:18:01.3991811Z ##[group]Fetching the repository
2025-03-21T20:18:01.3999068Z [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
2025-03-21T20:18:01.8111418Z From https://github.com/pytorch/test-infra
2025-03-21T20:18:01.8112181Z  * [new branch]      main       -> origin/main
2025-03-21T20:18:01.8141237Z ##[endgroup]
2025-03-21T20:18:01.8141868Z ##[group]Determining the checkout info
2025-03-21T20:18:01.8143339Z ##[endgroup]
2025-03-21T20:18:01.8150331Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:01.8209927Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:01.8259738Z ##[group]Checking out the ref
2025-03-21T20:18:01.8265645Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:18:01.9250331Z Switched to a new branch 'main'
2025-03-21T20:18:01.9250919Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:18:01.9261567Z ##[endgroup]
2025-03-21T20:18:01.9262846Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:01.9269737Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:01.9344207Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:01.9397556Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:01.9452761Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:01.9503471Z ##[endgroup]
2025-03-21T20:18:01.9504202Z ##[group]Fetching submodules
2025-03-21T20:18:01.9509021Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:18:01.9874958Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:18:02.0269376Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:18:02.0648293Z ##[endgroup]
2025-03-21T20:18:02.0649054Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:02.0660940Z [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' || :"
2025-03-21T20:18:02.1053214Z [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"
2025-03-21T20:18:02.1438711Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:02.1828357Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:02.2200486Z ##[endgroup]
2025-03-21T20:18:02.2263149Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:02.2306536Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:02.2643023Z Prepare all required actions
2025-03-21T20:18:02.2644003Z Getting action download info
2025-03-21T20:18:02.3577847Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:03.9048151Z Getting action download info
2025-03-21T20:18:04.0053332Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:04.1752383Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:04.1752923Z env:
2025-03-21T20:18:04.1753332Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.1753881Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.1754308Z   PR_NUMBER: 
2025-03-21T20:18:04.1756723Z   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}"

2025-03-21T20:18:04.1759189Z ##[endgroup]
2025-03-21T20:18:04.1890678Z ##[group]Run set -euo pipefail
2025-03-21T20:18:04.1891188Z set -euo pipefail
2025-03-21T20:18:04.1891614Z function get_ec2_metadata() {
2025-03-21T20:18:04.1892140Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:04.1893035Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:04.1893822Z   category=$1
2025-03-21T20:18:04.1895034Z   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}"
2025-03-21T20:18:04.1896744Z }
2025-03-21T20:18:04.1897146Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:04.1897744Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:04.1898420Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:04.1899015Z echo "system info $(uname -a)"
2025-03-21T20:18:04.1906881Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.1907423Z env:
2025-03-21T20:18:04.1907831Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.1908373Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.1908787Z   PR_NUMBER: 
2025-03-21T20:18:04.1911154Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:18:04.1913610Z ##[endgroup]
2025-03-21T20:18:04.2106639Z ami-id: ami-0eae2a0fc13b15fce
2025-03-21T20:18:04.2242563Z instance-id: i-079f466f7fc42d367
2025-03-21T20:18:04.2379872Z instance-type: t4g.2xlarge
2025-03-21T20:18:04.2393149Z system info Linux ip-10-0-48-182.ec2.internal 6.1.129-138.220.amzn2023.aarch64 #1 SMP Tue Feb 25 22:18:13 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux
2025-03-21T20:18:04.2445783Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:04.2447112Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:04.2455744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.2456287Z env:
2025-03-21T20:18:04.2457126Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.2457741Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2458177Z   PR_NUMBER: 
2025-03-21T20:18:04.2460529Z   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}"

2025-03-21T20:18:04.2462977Z ##[endgroup]
2025-03-21T20:18:04.2574833Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:04.2575492Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:04.2576042Z     echo "Docker daemon is running...";
2025-03-21T20:18:04.2576501Z else
2025-03-21T20:18:04.2577044Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:04.2577643Z fi
2025-03-21T20:18:04.2585255Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.2585799Z env:
2025-03-21T20:18:04.2586196Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.2586728Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2587131Z   PR_NUMBER: 
2025-03-21T20:18:04.2589468Z   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}"

2025-03-21T20:18:04.2591898Z ##[endgroup]
2025-03-21T20:18:04.2692952Z Docker daemon is running...
2025-03-21T20:18:04.2738147Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:04.2739082Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:04.2739827Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:04.2740696Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:04.2741713Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:04.2751097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.2751642Z env:
2025-03-21T20:18:04.2752057Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.2752610Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2753024Z   PR_NUMBER: 
2025-03-21T20:18:04.2755385Z   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}"

2025-03-21T20:18:04.2757865Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:04.2758263Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:04.2758652Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:04.2759054Z ##[endgroup]
2025-03-21T20:18:05.7473774Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:05.7474669Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:05.7475689Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:05.7476233Z 
2025-03-21T20:18:05.7476382Z Login Succeeded
2025-03-21T20:18:05.7561098Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.7562327Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.7563088Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.7570955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.7571495Z env:
2025-03-21T20:18:05.7571896Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.7572437Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.7572854Z   PR_NUMBER: 
2025-03-21T20:18:05.7575203Z   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}"

2025-03-21T20:18:05.7577682Z ##[endgroup]
2025-03-21T20:18:05.7682385Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:05.7683089Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:05.7683672Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:05.7684189Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:05.7684835Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.7685442Z 
2025-03-21T20:18:05.7685887Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:05.7686500Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:05.7687033Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:05.7687721Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.7688364Z 
2025-03-21T20:18:05.7688723Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:05.7689786Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:05.7690268Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:05.7690846Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.7698689Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.7699212Z env:
2025-03-21T20:18:05.7699607Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.7700141Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.7700546Z   PR_NUMBER: 
2025-03-21T20:18:05.7702879Z   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}"

2025-03-21T20:18:05.7705356Z ##[endgroup]
2025-03-21T20:18:05.9781122Z ##[group]Run needs=0
2025-03-21T20:18:05.9781544Z needs=0
2025-03-21T20:18:05.9782081Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:05.9782705Z   needs=1
2025-03-21T20:18:05.9783033Z fi
2025-03-21T20:18:05.9783398Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:05.9792030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.9792575Z env:
2025-03-21T20:18:05.9792970Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.9793510Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.9793925Z   PR_NUMBER: 
2025-03-21T20:18:05.9796631Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:18:05.9799294Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.9800134Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.9800912Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.9801460Z ##[endgroup]
2025-03-21T20:18:06.0054327Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:06.0055183Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:06.0055818Z # shellcheck disable=SC2046
2025-03-21T20:18:06.0056308Z docker stop $(docker ps -q) || true
2025-03-21T20:18:06.0056815Z # Prune all of the docker images
2025-03-21T20:18:06.0057323Z docker system prune -af
2025-03-21T20:18:06.0066564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:06.0067111Z env:
2025-03-21T20:18:06.0067507Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:06.0068058Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:06.0068480Z   PR_NUMBER: 
2025-03-21T20:18:06.0070818Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:18:06.0073439Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:06.0074279Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:06.0075766Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:06.0076345Z ##[endgroup]
2025-03-21T20:18:06.0355061Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:06.0355645Z See 'docker stop --help'.
2025-03-21T20:18:06.0355903Z 
2025-03-21T20:18:06.0356140Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:06.0356527Z 
2025-03-21T20:18:06.0356702Z Stop one or more running containers
2025-03-21T20:18:06.0536378Z Total reclaimed space: 0B
2025-03-21T20:18:06.0647820Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:06.0648406Z with:
2025-03-21T20:18:06.0649014Z   github-secret: ***
2025-03-21T20:18:06.0650115Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:06.0651182Z   activate-with-label: false
2025-03-21T20:18:06.0651581Z   label: with-ssh
2025-03-21T20:18:06.0651969Z   remove-existing-keys: true
2025-03-21T20:18:06.0652368Z   fail-silently: true
2025-03-21T20:18:06.0652704Z env:
2025-03-21T20:18:06.0653092Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:06.0653628Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:06.0654031Z   PR_NUMBER: 
2025-03-21T20:18:06.0656408Z   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}"

2025-03-21T20:18:06.0659020Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:06.0659842Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:06.0660628Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:06.0661177Z ##[endgroup]
2025-03-21T20:18:06.2068853Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:06.2070312Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:06.2238953Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:06.2239435Z with:
2025-03-21T20:18:06.2239772Z   repository: pytorch/executorch
2025-03-21T20:18:06.2240243Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:06.2240736Z   path: pytorch/executorch
2025-03-21T20:18:06.2241146Z   fetch-depth: 1
2025-03-21T20:18:06.2241483Z   submodules: true
2025-03-21T20:18:06.2242087Z   token: ***
2025-03-21T20:18:06.2242424Z   ssh-strict: true
2025-03-21T20:18:06.2242769Z   ssh-user: git
2025-03-21T20:18:06.2243125Z   persist-credentials: true
2025-03-21T20:18:06.2243517Z   clean: true
2025-03-21T20:18:06.2243903Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:06.2244336Z   fetch-tags: false
2025-03-21T20:18:06.2244699Z   show-progress: true
2025-03-21T20:18:06.2245057Z   lfs: false
2025-03-21T20:18:06.2245390Z   set-safe-directory: true
2025-03-21T20:18:06.2245769Z env:
2025-03-21T20:18:06.2246166Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:06.2246772Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:06.2247186Z   PR_NUMBER: 
2025-03-21T20:18:06.2249655Z   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}"

2025-03-21T20:18:06.2252288Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:06.2253522Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:06.2254311Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:06.2254869Z ##[endgroup]
2025-03-21T20:18:06.3532278Z Syncing repository: pytorch/executorch
2025-03-21T20:18:06.3544900Z ##[group]Getting Git version info
2025-03-21T20:18:06.3545751Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:06.3586808Z [command]/usr/bin/git version
2025-03-21T20:18:06.3645751Z git version 2.47.1
2025-03-21T20:18:06.3682863Z ##[endgroup]
2025-03-21T20:18:06.3703195Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/76331bc4-dff3-4711-a58f-020709935fc1' before making global git config changes
2025-03-21T20:18:06.3704535Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:06.3713465Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:06.3755783Z ##[group]Initializing the repository
2025-03-21T20:18:06.3765988Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:06.3818793Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:06.3819693Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:06.3820491Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:06.3821087Z hint:
2025-03-21T20:18:06.3821500Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:06.3822003Z hint:
2025-03-21T20:18:06.3822483Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:06.3823284Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:06.3823928Z hint:
2025-03-21T20:18:06.3824255Z hint: 	git branch -m <name>
2025-03-21T20:18:06.3825124Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:06.3837179Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:06.3873934Z ##[endgroup]
2025-03-21T20:18:06.3875026Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:06.3882672Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:06.3920382Z ##[endgroup]
2025-03-21T20:18:06.3920986Z ##[group]Setting up auth
2025-03-21T20:18:06.3930266Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:06.3971060Z [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' || :"
2025-03-21T20:18:06.4318470Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:06.4358026Z [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' || :"
2025-03-21T20:18:06.4706591Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:06.4764510Z ##[endgroup]
2025-03-21T20:18:06.4765166Z ##[group]Fetching the repository
2025-03-21T20:18:06.4775914Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:08.2344850Z From https://github.com/pytorch/executorch
2025-03-21T20:18:08.2345579Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:08.2373665Z ##[endgroup]
2025-03-21T20:18:08.2374340Z ##[group]Determining the checkout info
2025-03-21T20:18:08.2375631Z ##[endgroup]
2025-03-21T20:18:08.2382862Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:08.2432184Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:08.2470822Z ##[group]Checking out the ref
2025-03-21T20:18:08.2476824Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:08.8086462Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:08.8086954Z 
2025-03-21T20:18:08.8087297Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:08.8088087Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:08.8088869Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:08.8089411Z 
2025-03-21T20:18:08.8089721Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:08.8090453Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:08.8090891Z 
2025-03-21T20:18:08.8091065Z   git switch -c <new-branch-name>
2025-03-21T20:18:08.8091352Z 
2025-03-21T20:18:08.8091525Z Or undo this operation with:
2025-03-21T20:18:08.8091791Z 
2025-03-21T20:18:08.8091941Z   git switch -
2025-03-21T20:18:08.8092140Z 
2025-03-21T20:18:08.8092496Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:08.8092992Z 
2025-03-21T20:18:08.8093235Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:08.8137630Z ##[endgroup]
2025-03-21T20:18:08.8138279Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:08.8145412Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:08.8203804Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:08.8242183Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:08.8286549Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:08.8322395Z ##[endgroup]
2025-03-21T20:18:08.8323169Z ##[group]Fetching submodules
2025-03-21T20:18:08.8328441Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:08.8701416Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:08.9060494Z 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'
2025-03-21T20:18:08.9062780Z 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'
2025-03-21T20:18:08.9064654Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:08.9066453Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:08.9068774Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:08.9070821Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:08.9073941Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:08.9076020Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:08.9079163Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:08.9081856Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:08.9084951Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:08.9087925Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:08.9092365Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:08.9095131Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:08.9098914Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:08.9102792Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:08.9109118Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:08.9111809Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:08.9116659Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:08.9119459Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:08.9124502Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:08.9127967Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:08.9132489Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:08.9167924Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:09.2587946Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:09.4900876Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:09.7196630Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:10.1541032Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:10.4714796Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:10.6904350Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:10.8850096Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:11.0791248Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:11.9001619Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:12.3601423Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:12.6261465Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:12.8925294Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:13.7021087Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:13.9309659Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:14.2868662Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:14.6634603Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:14.8818656Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:15.0795305Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:15.3652443Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:15.5511609Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:15.7303488Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:16.1439916Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:16.9168695Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:16.9169717Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:16.9309434Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:17.4150391Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:17.4151268Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:17.4291881Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:17.4414624Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:18.2578180Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:18.2578910Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:18.3187213Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:18.9859887Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:18.9860751Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:19.0234148Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:19.4231088Z From https://github.com/zeux/volk
2025-03-21T20:18:19.4231797Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:19.4355538Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:19.8567576Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:19.8568296Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:19.8680069Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:20.2956525Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:20.2957252Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:20.3038479Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:22.5074016Z From https://github.com/google/XNNPACK
2025-03-21T20:18:22.5075139Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:23.2038016Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:23.7191727Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:23.7192486Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:23.8186340Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:24.2425618Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:24.2426357Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:24.2540626Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:24.7167105Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:24.7167841Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:24.7457352Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:26.2112769Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:26.2113476Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:26.3571823Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:26.3804390Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:26.8905632Z From https://github.com/pytorch/ao
2025-03-21T20:18:26.8906327Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:26.9727420Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:27.5938964Z From https://github.com/google/flatbuffers
2025-03-21T20:18:27.5939694Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:27.7176309Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:28.2113901Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:28.2114612Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:28.2414591Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:28.6866974Z From https://github.com/gflags/gflags
2025-03-21T20:18:28.6867701Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:28.6980921Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:29.3754571Z From https://github.com/google/googletest
2025-03-21T20:18:29.3755279Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:29.4159466Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:29.8404924Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:29.8405619Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:29.8500417Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:29.8592350Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:30.4780101Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:30.4780818Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:30.5664817Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:31.1621519Z From https://github.com/pybind/pybind11
2025-03-21T20:18:31.1622262Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:31.1950985Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:31.1974230Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:31.2334807Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.2368146Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.2401616Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.2436803Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.2471764Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.2505771Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.2540029Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.2571734Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.2603290Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.2637278Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.2671400Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.2704012Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.2740005Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.2773051Z Entering 'shim'
2025-03-21T20:18:31.2807446Z Entering 'third-party/ao'
2025-03-21T20:18:31.2839558Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.2871690Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.2905194Z Entering 'third-party/gflags'
2025-03-21T20:18:31.2939393Z Entering 'third-party/googletest'
2025-03-21T20:18:31.2975082Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.3007232Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.3040978Z Entering 'third-party/prelude'
2025-03-21T20:18:31.3074059Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.3123622Z ##[endgroup]
2025-03-21T20:18:31.3124297Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:31.3134665Z [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' || :"
2025-03-21T20:18:31.3487538Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.3558351Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.3630313Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.3700600Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.3768585Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.3839029Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.3909903Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.3979886Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.4049557Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.4135525Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.4205753Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.4274681Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.4343921Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.4416721Z Entering 'shim'
2025-03-21T20:18:31.4485909Z Entering 'third-party/ao'
2025-03-21T20:18:31.4555472Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.4637732Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.4708231Z Entering 'third-party/gflags'
2025-03-21T20:18:31.4779966Z Entering 'third-party/googletest'
2025-03-21T20:18:31.4866230Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.4936709Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.5004695Z Entering 'third-party/prelude'
2025-03-21T20:18:31.5073251Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.5162407Z [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"
2025-03-21T20:18:31.5523286Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.5586612Z 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
2025-03-21T20:18:31.5588441Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.5654544Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:31.5655873Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.5721671Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:31.5722958Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.5787688Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:31.5789121Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.5853663Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:31.5855044Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.5920548Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:31.5921828Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.5988754Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:31.5990297Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.6055892Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:31.6057197Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.6122872Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:31.6124201Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.6190134Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:31.6191509Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.6254169Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:31.6255444Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.6318374Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:31.6319587Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.6387031Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:31.6388271Z Entering 'shim'
2025-03-21T20:18:31.6458868Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:31.6459902Z Entering 'third-party/ao'
2025-03-21T20:18:31.6524154Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:31.6525266Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.6591098Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:31.6592281Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.6655388Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:31.6657006Z Entering 'third-party/gflags'
2025-03-21T20:18:31.6721443Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:31.6722579Z Entering 'third-party/googletest'
2025-03-21T20:18:31.6786679Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:31.6787868Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.6854540Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:31.6855707Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.6921249Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:31.6922452Z Entering 'third-party/prelude'
2025-03-21T20:18:31.6985376Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:31.6986519Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.7052321Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:31.7499543Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:31.7854282Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.7886592Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.7921525Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.7958788Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.7991926Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.8026305Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.8061086Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.8094051Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.8127349Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.8160750Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.8196007Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.8230036Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.8264091Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.8299850Z Entering 'shim'
2025-03-21T20:18:31.8335455Z Entering 'third-party/ao'
2025-03-21T20:18:31.8368910Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.8404907Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.8439585Z Entering 'third-party/gflags'
2025-03-21T20:18:31.8472872Z Entering 'third-party/googletest'
2025-03-21T20:18:31.8508474Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.8545652Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.8580678Z Entering 'third-party/prelude'
2025-03-21T20:18:31.8615375Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.8668813Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:31.9027480Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.9062868Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.9097599Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.9136922Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.9168288Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.9203068Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.9236453Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.9270087Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.9304954Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.9341150Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.9379142Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.9415482Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.9452409Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.9486884Z Entering 'shim'
2025-03-21T20:18:31.9520920Z Entering 'third-party/ao'
2025-03-21T20:18:31.9555144Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.9589943Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.9626275Z Entering 'third-party/gflags'
2025-03-21T20:18:31.9662524Z Entering 'third-party/googletest'
2025-03-21T20:18:31.9698295Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.9735777Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.9771765Z Entering 'third-party/prelude'
2025-03-21T20:18:31.9807499Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.9870666Z ##[endgroup]
2025-03-21T20:18:31.9920438Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:31.9951296Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:32.0244750Z Prepare all required actions
2025-03-21T20:18:32.0245845Z Getting action download info
2025-03-21T20:18:32.1160253Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:32.2843550Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:32.2844129Z with:
2025-03-21T20:18:32.2844566Z   docker-image-name: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2845132Z   docker-build-dir: .ci/docker
2025-03-21T20:18:32.2845565Z   working-directory: pytorch/executorch
2025-03-21T20:18:32.2846152Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.2846717Z   force-push: false
2025-03-21T20:18:32.2847055Z env:
2025-03-21T20:18:32.2847445Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2847978Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:32.2848393Z   PR_NUMBER: 
2025-03-21T20:18:32.2850955Z   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}"

2025-03-21T20:18:32.2853624Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:32.2854464Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:32.2855238Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:32.2855795Z ##[endgroup]
2025-03-21T20:18:32.2895708Z ##[group]Run set -ex
2025-03-21T20:18:32.2896206Z set -ex
2025-03-21T20:18:32.2896549Z 
2025-03-21T20:18:32.2897137Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:32.2898102Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:32.2898909Z # job could then download the pre-built image as usual
2025-03-21T20:18:32.2899636Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:32.2900300Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2900933Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2901511Z 
2025-03-21T20:18:32.2902022Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:32.2902652Z   exit 0
2025-03-21T20:18:32.2902979Z else
2025-03-21T20:18:32.2903363Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2903833Z fi
2025-03-21T20:18:32.2904147Z 
2025-03-21T20:18:32.2904639Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:32.2905860Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:32.2906609Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:32.2907289Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:32.2908003Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2908688Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2909263Z else
2025-03-21T20:18:32.2909707Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:32.2910350Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2911240Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.2912024Z fi
2025-03-21T20:18:32.2920077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:32.2920646Z env:
2025-03-21T20:18:32.2921053Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2921587Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:32.2922000Z   PR_NUMBER: 
2025-03-21T20:18:32.2924352Z   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}"

2025-03-21T20:18:32.2927021Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:32.2927858Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:32.2928662Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:32.2929527Z   REPO_NAME: executorch
2025-03-21T20:18:32.2930043Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2930596Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:32.2931124Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.2931674Z ##[endgroup]
2025-03-21T20:18:32.2967069Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:32.2967512Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:32.2967926Z + echo skip=false
2025-03-21T20:18:32.2968678Z + [[ executorch-ubuntu-22.04-gcc11-aarch64 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\e\x\e\c\u\t\o\r\c\h* ]]
2025-03-21T20:18:32.2980664Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:32.2992527Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.2993179Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.2994450Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.3079426Z ##[group]Run set +e
2025-03-21T20:18:32.3079911Z set +e
2025-03-21T20:18:32.3080419Z set -x
2025-03-21T20:18:32.3080770Z 
2025-03-21T20:18:32.3081080Z login() {
2025-03-21T20:18:32.3081750Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:32.3082489Z }
2025-03-21T20:18:32.3082797Z 
2025-03-21T20:18:32.3083109Z retry () {
2025-03-21T20:18:32.3083495Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:32.3083939Z }
2025-03-21T20:18:32.3084243Z 
2025-03-21T20:18:32.3084593Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:32.3085036Z 
2025-03-21T20:18:32.3085360Z START_TIME=$(date +%s)
2025-03-21T20:18:32.3086220Z # Wait up to 120 minutes
2025-03-21T20:18:32.3086748Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:32.3087441Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:32.3088133Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:32.3088646Z     exit 0
2025-03-21T20:18:32.3088980Z   fi
2025-03-21T20:18:32.3089403Z 
2025-03-21T20:18:32.3089958Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:32.3090895Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:32.3091833Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:32.3092569Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:32.3093444Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:32.3093984Z     break
2025-03-21T20:18:32.3094323Z   else
2025-03-21T20:18:32.3094814Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:32.3095409Z     sleep 300
2025-03-21T20:18:32.3095767Z   fi
2025-03-21T20:18:32.3096075Z done
2025-03-21T20:18:32.3096392Z 
2025-03-21T20:18:32.3096896Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:32.3097698Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:32.3098431Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:32.3099075Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:32.3099649Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:32.3100102Z else
2025-03-21T20:18:32.3100579Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:32.3101262Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:32.3101775Z fi
2025-03-21T20:18:32.3102078Z 
2025-03-21T20:18:32.3102423Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:32.3102933Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.3103412Z 
2025-03-21T20:18:32.3104079Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:32.3104854Z   exit 0
2025-03-21T20:18:32.3105186Z fi
2025-03-21T20:18:32.3105497Z 
2025-03-21T20:18:32.3105936Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:32.3106897Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:32.3107727Z   exit 1
2025-03-21T20:18:32.3108197Z fi
2025-03-21T20:18:32.3108522Z 
2025-03-21T20:18:32.3109043Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:32.3109965Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:32.3110787Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:32.3111736Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:32.3112793Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:32.3113446Z fi
2025-03-21T20:18:32.3113757Z 
2025-03-21T20:18:32.3114134Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:32.3122325Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:32.3122873Z env:
2025-03-21T20:18:32.3123832Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.3125155Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:32.3125569Z   PR_NUMBER: 
2025-03-21T20:18:32.3127900Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:18:32.3131025Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:32.3131861Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:32.3132637Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:32.3133553Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:32.3134069Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:32.3134668Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.3135305Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.3135859Z   DOCKER_PUSH: 
2025-03-21T20:18:32.3136188Z ##[endgroup]
2025-03-21T20:18:32.3169242Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.3169979Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.3172070Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:32.3173713Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.0509419Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:33.0510386Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:33.0511227Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:33.0511800Z 
2025-03-21T20:18:33.0511949Z Login Succeeded
2025-03-21T20:18:33.0534097Z ++ date +%s
2025-03-21T20:18:33.0545986Z + START_TIME=1742588313
2025-03-21T20:18:33.0549442Z ++ date +%s
2025-03-21T20:18:33.0561020Z + [[ 1742581113 -lt 1742588313 ]]
2025-03-21T20:18:33.0562235Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.3013273Z {
2025-03-21T20:18:33.3013658Z 	"schemaVersion": 2,
2025-03-21T20:18:33.3014266Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-03-21T20:18:33.3014904Z 	"config": {
2025-03-21T20:18:33.3015387Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-03-21T20:18:33.3015969Z 		"size": 15125,
2025-03-21T20:18:33.3016582Z 		"digest": "sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4"
2025-03-21T20:18:33.3017305Z 	},
2025-03-21T20:18:33.3017618Z 	"layers": [
2025-03-21T20:18:33.3017932Z 		{
2025-03-21T20:18:33.3018405Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3018992Z 			"size": 28397174,
2025-03-21T20:18:33.3019593Z 			"digest": "sha256:9b850f5aae4c6627d2173c368f232b9b1db52bbf636f85f66e885e8611acd964"
2025-03-21T20:18:33.3020263Z 		},
2025-03-21T20:18:33.3020552Z 		{
2025-03-21T20:18:33.3021025Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3021613Z 			"size": 633,
2025-03-21T20:18:33.3022222Z 			"digest": "sha256:badf7cb767d1b45da1f5dabcfb3479e8c3860c7ddfedea2b1848e91ee00faa4a"
2025-03-21T20:18:33.3022917Z 		},
2025-03-21T20:18:33.3023206Z 		{
2025-03-21T20:18:33.3023677Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3024263Z 			"size": 153121650,
2025-03-21T20:18:33.3024859Z 			"digest": "sha256:0f89db74a98d9c3b39c34b6138f0608318e0445f8005542cc5cd957ecd8b5a95"
2025-03-21T20:18:33.3026082Z 		},
2025-03-21T20:18:33.3026374Z 		{
2025-03-21T20:18:33.3026845Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3027429Z 			"size": 622,
2025-03-21T20:18:33.3027999Z 			"digest": "sha256:32a4514e7ff575e6e37522ceb046a4594750562d16d01c2a4495863819f59f56"
2025-03-21T20:18:33.3028653Z 		},
2025-03-21T20:18:33.3028941Z 		{
2025-03-21T20:18:33.3029654Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3030255Z 			"size": 18985061,
2025-03-21T20:18:33.3030857Z 			"digest": "sha256:37c6f550ae9bd5ea67adf6bc3031f5e81601ea2177874639027bb9aaea1d5468"
2025-03-21T20:18:33.3031535Z 		},
2025-03-21T20:18:33.3031826Z 		{
2025-03-21T20:18:33.3032294Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3032881Z 			"size": 737,
2025-03-21T20:18:33.3033467Z 			"digest": "sha256:41326e4613eb7cd7c11da0f4d91f4c2c8377bf26dabf4f1bd1582609a64e5ee0"
2025-03-21T20:18:33.3034145Z 		},
2025-03-21T20:18:33.3034450Z 		{
2025-03-21T20:18:33.3035245Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3035896Z 			"size": 104,
2025-03-21T20:18:33.3036487Z 			"digest": "sha256:c5561e75697a090410df8a63b915edf3477dd7fde71ae2d1b13768144db7def4"
2025-03-21T20:18:33.3037151Z 		},
2025-03-21T20:18:33.3037439Z 		{
2025-03-21T20:18:33.3037908Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3038610Z + exit 0
2025-03-21T20:18:33.3038914Z 			"size": 447,
2025-03-21T20:18:33.3039496Z 			"digest": "sha256:e6a0b1cdd23a737edbabd1d9f6380877e85325bcd96e36c5d1457dd2430d701f"
2025-03-21T20:18:33.3040179Z 		},
2025-03-21T20:18:33.3040465Z 		{
2025-03-21T20:18:33.3040934Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3041650Z 			"size": 2758,
2025-03-21T20:18:33.3042226Z 			"digest": "sha256:55a35e56f796d1f48b8a63c990ede1a75d2f65560b04c7b55672845ae99b461e"
2025-03-21T20:18:33.3042892Z 		},
2025-03-21T20:18:33.3043196Z 		{
2025-03-21T20:18:33.3043679Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3044271Z 			"size": 637,
2025-03-21T20:18:33.3044839Z 			"digest": "sha256:4116b07c7ca15a3a34580b3b8c039d59e042ef72f0f02e2ff121bea0d7878663"
2025-03-21T20:18:33.3045506Z 		},
2025-03-21T20:18:33.3045792Z 		{
2025-03-21T20:18:33.3046256Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3046847Z 			"size": 33668694,
2025-03-21T20:18:33.3047441Z 			"digest": "sha256:cf6a0478ca56cd157e99ad6be8c6390902bc94f1e19512d7e433964e5d5b5d5b"
2025-03-21T20:18:33.3048108Z 		},
2025-03-21T20:18:33.3048396Z 		{
2025-03-21T20:18:33.3048866Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3049549Z 			"size": 318,
2025-03-21T20:18:33.3050122Z 			"digest": "sha256:3b4cd7004f33f8e021fd6e6c068ee019298c34a08b0492e152ac8aa2e013b796"
2025-03-21T20:18:33.3050786Z 		},
2025-03-21T20:18:33.3051070Z 		{
2025-03-21T20:18:33.3051548Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3052142Z 			"size": 244427647,
2025-03-21T20:18:33.3052722Z 			"digest": "sha256:9c1e20dd9a42f63910af9367756b66820493318e0ac1ba6404a968f2e6e3215c"
2025-03-21T20:18:33.3053370Z 		},
2025-03-21T20:18:33.3053654Z 		{
2025-03-21T20:18:33.3054121Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3054703Z 			"size": 475,
2025-03-21T20:18:33.3055261Z 			"digest": "sha256:145833aca2835f9f71580281117cc4c981d0a32e6c14db47ff76b78ca6359311"
2025-03-21T20:18:33.3055913Z 		},
2025-03-21T20:18:33.3056203Z 		{
2025-03-21T20:18:33.3056671Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3057263Z 			"size": 1042,
2025-03-21T20:18:33.3057835Z 			"digest": "sha256:1a18f7e26037f9e4136eceae6a4a22d12c1893dc321385ae24da5c99a83461b1"
2025-03-21T20:18:33.3058498Z 		},
2025-03-21T20:18:33.3058778Z 		{
2025-03-21T20:18:33.3059258Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3060261Z 			"size": 611,
2025-03-21T20:18:33.3060826Z 			"digest": "sha256:82635263661e2b2d13043678fb15fbe49d392d190aef88a0df41d2e54c8c824c"
2025-03-21T20:18:33.3061666Z 		},
2025-03-21T20:18:33.3061968Z 		{
2025-03-21T20:18:33.3062441Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3063038Z 			"size": 108847074,
2025-03-21T20:18:33.3063621Z 			"digest": "sha256:0551c017ae818c6377369d432d4b3f6cb943365a04fde23b2d7dbc166bbca7ca"
2025-03-21T20:18:33.3064280Z 		},
2025-03-21T20:18:33.3064563Z 		{
2025-03-21T20:18:33.3065028Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3065612Z 			"size": 564,
2025-03-21T20:18:33.3066171Z 			"digest": "sha256:c16e35c9661429be66b2fc0d47ee6f87240ce318684467b0567550293cfa387b"
2025-03-21T20:18:33.3066826Z 		},
2025-03-21T20:18:33.3067105Z 		{
2025-03-21T20:18:33.3067576Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3068379Z 			"size": 208,
2025-03-21T20:18:33.3068989Z 			"digest": "sha256:3ad3c7d7d14a2a6c674dc6035399c34569aff598a23ff58493fad46f940ec3f6"
2025-03-21T20:18:33.3069682Z 		},
2025-03-21T20:18:33.3069973Z 		{
2025-03-21T20:18:33.3070454Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3071048Z 			"size": 1189,
2025-03-21T20:18:33.3071628Z 			"digest": "sha256:8830bd728cbd452ee88aa086fc19692143cdeaff3d11106915ae27f97f161901"
2025-03-21T20:18:33.3072297Z 		},
2025-03-21T20:18:33.3072584Z 		{
2025-03-21T20:18:33.3073053Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3073649Z 			"size": 678,
2025-03-21T20:18:33.3074223Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:33.3074893Z 		},
2025-03-21T20:18:33.3075180Z 		{
2025-03-21T20:18:33.3075653Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3076254Z 			"size": 1143915792,
2025-03-21T20:18:33.3076882Z 			"digest": "sha256:0b23b48b8fcec9cd5758b53c5f5a3b1d55b968c7bdcc5c8bb20497e2e4d41445"
2025-03-21T20:18:33.3077559Z 		},
2025-03-21T20:18:33.3077845Z 		{
2025-03-21T20:18:33.3078316Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3078911Z 			"size": 1381,
2025-03-21T20:18:33.3079489Z 			"digest": "sha256:5e7729c8c19f7ee8540f6c8edd615229a3c5e2b8f47c730a7e14d31a8038b40e"
2025-03-21T20:18:33.3080159Z 		},
2025-03-21T20:18:33.3080451Z 		{
2025-03-21T20:18:33.3080923Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3081518Z 			"size": 678,
2025-03-21T20:18:33.3082096Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:33.3082768Z 		},
2025-03-21T20:18:33.3083059Z 		{
2025-03-21T20:18:33.3083530Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3084132Z 			"size": 223543527,
2025-03-21T20:18:33.3084741Z 			"digest": "sha256:02aa2fb4345700525d3b0b3af142e5da83f48ce4be43f59869dde8688a944476"
2025-03-21T20:18:33.3085420Z 		},
2025-03-21T20:18:33.3085707Z 		{
2025-03-21T20:18:33.3086178Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3086778Z 			"size": 828,
2025-03-21T20:18:33.3087339Z 			"digest": "sha256:3464920c9c020a760b7867720e80499c535724beee0e727b768fa9c3c979f703"
2025-03-21T20:18:33.3087993Z 		},
2025-03-21T20:18:33.3088284Z 		{
2025-03-21T20:18:33.3088759Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3089480Z 			"size": 678,
2025-03-21T20:18:33.3090078Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:33.3090736Z 		},
2025-03-21T20:18:33.3091043Z 		{
2025-03-21T20:18:33.3091512Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3092109Z 			"size": 149423004,
2025-03-21T20:18:33.3092710Z 			"digest": "sha256:87684e5c474c8175a082abfc5e630f361841d540383f5e49a87dd16b3b097576"
2025-03-21T20:18:33.3093783Z 		},
2025-03-21T20:18:33.3094087Z 		{
2025-03-21T20:18:33.3094562Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3095153Z 			"size": 530,
2025-03-21T20:18:33.3095751Z 			"digest": "sha256:44b50c5e2ca60efca348edaa62c276e90a060083463edec336c8fb6163b664f7"
2025-03-21T20:18:33.3096414Z 		},
2025-03-21T20:18:33.3096699Z 		{
2025-03-21T20:18:33.3097169Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3097759Z 			"size": 678,
2025-03-21T20:18:33.3098338Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:33.3098997Z 		},
2025-03-21T20:18:33.3099280Z 		{
2025-03-21T20:18:33.3099748Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3100341Z 			"size": 355,
2025-03-21T20:18:33.3100924Z 			"digest": "sha256:224753fce160cefd1c5e83b53d98ec9edeacea0086d67fc96942269103686202"
2025-03-21T20:18:33.3101599Z 		},
2025-03-21T20:18:33.3102069Z 		{
2025-03-21T20:18:33.3102580Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3103174Z 			"size": 32,
2025-03-21T20:18:33.3103761Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:33.3104433Z 		},
2025-03-21T20:18:33.3104730Z 		{
2025-03-21T20:18:33.3105200Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3105788Z 			"size": 165,
2025-03-21T20:18:33.3106367Z 			"digest": "sha256:788b314b21e5388374b608e2da266f0a9b27903af8e2b485c5d9cc9f8a21e2a5"
2025-03-21T20:18:33.3107023Z 		},
2025-03-21T20:18:33.3107314Z 		{
2025-03-21T20:18:33.3107782Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3108375Z 			"size": 1111,
2025-03-21T20:18:33.3108964Z 			"digest": "sha256:33d66e1ce781396ba538169972efe1be2b1b1da3565a86ad7c1e886fa2decbf7"
2025-03-21T20:18:33.3109627Z 		},
2025-03-21T20:18:33.3109924Z 		{
2025-03-21T20:18:33.3110400Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3110993Z 			"size": 32,
2025-03-21T20:18:33.3111579Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:33.3112244Z 		},
2025-03-21T20:18:33.3112531Z 		{
2025-03-21T20:18:33.3113001Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:33.3113594Z 			"size": 108,
2025-03-21T20:18:33.3114184Z 			"digest": "sha256:84f191ac8f70eea3a0188d79da0086dd490bb90ce1a9ebb3a84a3689d6acc220"
2025-03-21T20:18:33.3114857Z 		}
2025-03-21T20:18:33.3115154Z 	]
2025-03-21T20:18:33.3115441Z }
2025-03-21T20:18:33.3160763Z ##[group]Run set -eux
2025-03-21T20:18:33.3161176Z set -eux
2025-03-21T20:18:33.3162403Z 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
2025-03-21T20:18:33.3171494Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:33.3172046Z env:
2025-03-21T20:18:33.3172447Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:33.3173092Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:33.3173547Z   PR_NUMBER: 
2025-03-21T20:18:33.3175884Z   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}"

2025-03-21T20:18:33.3178498Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:33.3179325Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:33.3180457Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:33.3181018Z ##[endgroup]
2025-03-21T20:18:33.3216787Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:33.3217497Z + jq --raw-output .SecretString
2025-03-21T20:18:33.3218572Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:33.3219841Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:34.1581191Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:34.1582078Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:34.1582893Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:34.1583433Z 
2025-03-21T20:18:34.1583589Z Login Succeeded
2025-03-21T20:18:34.1704712Z Prepare all required actions
2025-03-21T20:18:34.1756386Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:34.1756939Z with:
2025-03-21T20:18:34.1757925Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.1759138Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.1759692Z env:
2025-03-21T20:18:34.1760088Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:34.1760624Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:34.1761032Z   PR_NUMBER: 
2025-03-21T20:18:34.1763435Z   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}"

2025-03-21T20:18:34.1766066Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:34.1766914Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:34.1767687Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:34.1768239Z ##[endgroup]
2025-03-21T20:18:34.1798426Z ##[group]Run set -x
2025-03-21T20:18:34.1798846Z set -x
2025-03-21T20:18:34.1799183Z set +e
2025-03-21T20:18:34.1799508Z 
2025-03-21T20:18:34.1799816Z login() {
2025-03-21T20:18:34.1800484Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:34.1801216Z }
2025-03-21T20:18:34.1801528Z 
2025-03-21T20:18:34.1801836Z retry () {
2025-03-21T20:18:34.1802241Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:34.1802712Z }
2025-03-21T20:18:34.1803025Z 
2025-03-21T20:18:34.1803375Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:34.1803843Z 
2025-03-21T20:18:34.1804144Z set -e
2025-03-21T20:18:34.1804632Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:34.1805329Z # only pull docker image if it's not available locally
2025-03-21T20:18:34.1806089Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:34.1806802Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:34.1807263Z fi
2025-03-21T20:18:34.1814974Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:34.1815510Z env:
2025-03-21T20:18:34.1816477Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.1817575Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:34.1817986Z   PR_NUMBER: 
2025-03-21T20:18:34.1820317Z   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}"

2025-03-21T20:18:34.1824012Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:34.1824858Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:34.1825638Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:34.1826332Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.1827204Z ##[endgroup]
2025-03-21T20:18:34.1858409Z + set +e
2025-03-21T20:18:34.1858857Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.1859466Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.1862190Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:34.1863133Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.9393059Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:34.9393935Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:34.9394754Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:34.9395300Z 
2025-03-21T20:18:34.9400104Z Login Succeeded
2025-03-21T20:18:34.9416412Z + set -e
2025-03-21T20:18:34.9417573Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.9560530Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.9562391Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:35.1764340Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:35.1765375Z 9b850f5aae4c: Pulling fs layer
2025-03-21T20:18:35.1765816Z badf7cb767d1: Pulling fs layer
2025-03-21T20:18:35.1766235Z 0f89db74a98d: Pulling fs layer
2025-03-21T20:18:35.1766684Z 32a4514e7ff5: Pulling fs layer
2025-03-21T20:18:35.1767269Z 37c6f550ae9b: Pulling fs layer
2025-03-21T20:18:35.1767732Z 41326e4613eb: Pulling fs layer
2025-03-21T20:18:35.1768170Z c5561e75697a: Pulling fs layer
2025-03-21T20:18:35.1768598Z e6a0b1cdd23a: Pulling fs layer
2025-03-21T20:18:35.1769050Z 55a35e56f796: Pulling fs layer
2025-03-21T20:18:35.1769553Z 4116b07c7ca1: Pulling fs layer
2025-03-21T20:18:35.1769976Z cf6a0478ca56: Pulling fs layer
2025-03-21T20:18:35.1770383Z 3b4cd7004f33: Pulling fs layer
2025-03-21T20:18:35.1770811Z 9c1e20dd9a42: Pulling fs layer
2025-03-21T20:18:35.1771223Z 145833aca283: Pulling fs layer
2025-03-21T20:18:35.1771631Z 1a18f7e26037: Pulling fs layer
2025-03-21T20:18:35.1772038Z 82635263661e: Pulling fs layer
2025-03-21T20:18:35.1772435Z 0551c017ae81: Pulling fs layer
2025-03-21T20:18:35.1772847Z c16e35c96614: Pulling fs layer
2025-03-21T20:18:35.1773262Z 3ad3c7d7d14a: Pulling fs layer
2025-03-21T20:18:35.1773677Z 8830bd728cbd: Pulling fs layer
2025-03-21T20:18:35.1774088Z a9de9234777c: Pulling fs layer
2025-03-21T20:18:35.1774491Z 0b23b48b8fce: Pulling fs layer
2025-03-21T20:18:35.1774933Z 5e7729c8c19f: Pulling fs layer
2025-03-21T20:18:35.1775323Z 41326e4613eb: Waiting
2025-03-21T20:18:35.1775691Z 02aa2fb43457: Pulling fs layer
2025-03-21T20:18:35.1776077Z c5561e75697a: Waiting
2025-03-21T20:18:35.1776458Z 3464920c9c02: Pulling fs layer
2025-03-21T20:18:35.1776869Z 87684e5c474c: Pulling fs layer
2025-03-21T20:18:35.1777293Z 44b50c5e2ca6: Pulling fs layer
2025-03-21T20:18:35.1778182Z e6a0b1cdd23a: Waiting
2025-03-21T20:18:35.1778533Z 55a35e56f796: Waiting
2025-03-21T20:18:35.1778902Z 224753fce160: Pulling fs layer
2025-03-21T20:18:35.1779317Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:35.1779721Z 4116b07c7ca1: Waiting
2025-03-21T20:18:35.1780089Z 788b314b21e5: Pulling fs layer
2025-03-21T20:18:35.1780509Z 33d66e1ce781: Pulling fs layer
2025-03-21T20:18:35.1780908Z cf6a0478ca56: Waiting
2025-03-21T20:18:35.1781272Z 84f191ac8f70: Pulling fs layer
2025-03-21T20:18:35.1781657Z 145833aca283: Waiting
2025-03-21T20:18:35.1782004Z 3b4cd7004f33: Waiting
2025-03-21T20:18:35.1782354Z 1a18f7e26037: Waiting
2025-03-21T20:18:35.1782703Z 9c1e20dd9a42: Waiting
2025-03-21T20:18:35.1783052Z 82635263661e: Waiting
2025-03-21T20:18:35.1783391Z 0551c017ae81: Waiting
2025-03-21T20:18:35.1784016Z 32a4514e7ff5: Waiting
2025-03-21T20:18:35.1784398Z 87684e5c474c: Waiting
2025-03-21T20:18:35.1784745Z c16e35c96614: Waiting
2025-03-21T20:18:35.1785087Z 37c6f550ae9b: Waiting
2025-03-21T20:18:35.1785436Z 8830bd728cbd: Waiting
2025-03-21T20:18:35.1785794Z 224753fce160: Waiting
2025-03-21T20:18:35.1786146Z 33d66e1ce781: Waiting
2025-03-21T20:18:35.1786497Z 4f4fb700ef54: Waiting
2025-03-21T20:18:35.1786841Z 788b314b21e5: Waiting
2025-03-21T20:18:35.1787186Z 5e7729c8c19f: Waiting
2025-03-21T20:18:35.1787540Z a9de9234777c: Waiting
2025-03-21T20:18:35.1787888Z 3464920c9c02: Waiting
2025-03-21T20:18:35.1788235Z 44b50c5e2ca6: Waiting
2025-03-21T20:18:35.1788579Z 84f191ac8f70: Waiting
2025-03-21T20:18:35.1788936Z 0b23b48b8fce: Waiting
2025-03-21T20:18:35.2945507Z badf7cb767d1: Download complete
2025-03-21T20:18:35.3812114Z 32a4514e7ff5: Verifying Checksum
2025-03-21T20:18:35.3812643Z 32a4514e7ff5: Download complete
2025-03-21T20:18:35.5151839Z 9b850f5aae4c: Verifying Checksum
2025-03-21T20:18:35.5152430Z 9b850f5aae4c: Download complete
2025-03-21T20:18:35.5974654Z 41326e4613eb: Verifying Checksum
2025-03-21T20:18:35.5975198Z 41326e4613eb: Download complete
2025-03-21T20:18:35.6187620Z 37c6f550ae9b: Verifying Checksum
2025-03-21T20:18:35.6188227Z 37c6f550ae9b: Download complete
2025-03-21T20:18:35.6982478Z c5561e75697a: Verifying Checksum
2025-03-21T20:18:35.6983139Z c5561e75697a: Download complete
2025-03-21T20:18:35.7023429Z e6a0b1cdd23a: Download complete
2025-03-21T20:18:35.7670641Z 55a35e56f796: Verifying Checksum
2025-03-21T20:18:35.7671428Z 55a35e56f796: Download complete
2025-03-21T20:18:35.7804086Z 4116b07c7ca1: Verifying Checksum
2025-03-21T20:18:35.7804839Z 4116b07c7ca1: Download complete
2025-03-21T20:18:35.8489077Z 3b4cd7004f33: Verifying Checksum
2025-03-21T20:18:35.8489680Z 3b4cd7004f33: Download complete
2025-03-21T20:18:36.1584722Z cf6a0478ca56: Verifying Checksum
2025-03-21T20:18:36.1585346Z cf6a0478ca56: Download complete
2025-03-21T20:18:36.2384485Z 145833aca283: Download complete
2025-03-21T20:18:36.3189944Z 1a18f7e26037: Verifying Checksum
2025-03-21T20:18:36.3190480Z 1a18f7e26037: Download complete
2025-03-21T20:18:36.3793702Z 82635263661e: Verifying Checksum
2025-03-21T20:18:36.3794226Z 82635263661e: Download complete
2025-03-21T20:18:36.7169501Z 9b850f5aae4c: Pull complete
2025-03-21T20:18:36.7408844Z badf7cb767d1: Pull complete
2025-03-21T20:18:36.7998358Z 0f89db74a98d: Verifying Checksum
2025-03-21T20:18:36.7998896Z 0f89db74a98d: Download complete
2025-03-21T20:18:36.8579759Z c16e35c96614: Verifying Checksum
2025-03-21T20:18:36.8580319Z c16e35c96614: Download complete
2025-03-21T20:18:36.9429519Z 3ad3c7d7d14a: Verifying Checksum
2025-03-21T20:18:36.9430071Z 3ad3c7d7d14a: Download complete
2025-03-21T20:18:37.0148518Z 8830bd728cbd: Download complete
2025-03-21T20:18:37.0855930Z a9de9234777c: Verifying Checksum
2025-03-21T20:18:37.0856462Z a9de9234777c: Download complete
2025-03-21T20:18:37.5198769Z 0551c017ae81: Verifying Checksum
2025-03-21T20:18:37.5199304Z 0551c017ae81: Download complete
2025-03-21T20:18:37.6071706Z 5e7729c8c19f: Download complete
2025-03-21T20:18:38.3404543Z 9c1e20dd9a42: Verifying Checksum
2025-03-21T20:18:38.3405086Z 9c1e20dd9a42: Download complete
2025-03-21T20:18:38.4159231Z 3464920c9c02: Verifying Checksum
2025-03-21T20:18:38.4160179Z 3464920c9c02: Download complete
2025-03-21T20:18:39.9014467Z 02aa2fb43457: Verifying Checksum
2025-03-21T20:18:39.9014997Z 02aa2fb43457: Download complete
2025-03-21T20:18:39.9965669Z 44b50c5e2ca6: Verifying Checksum
2025-03-21T20:18:39.9966178Z 44b50c5e2ca6: Download complete
2025-03-21T20:18:39.9967861Z 87684e5c474c: Verifying Checksum
2025-03-21T20:18:39.9968286Z 87684e5c474c: Download complete
2025-03-21T20:18:40.0055518Z 4f4fb700ef54: Download complete
2025-03-21T20:18:40.0882977Z 788b314b21e5: Download complete
2025-03-21T20:18:40.0908622Z 224753fce160: Verifying Checksum
2025-03-21T20:18:40.0909414Z 224753fce160: Download complete
2025-03-21T20:18:40.1525664Z 84f191ac8f70: Verifying Checksum
2025-03-21T20:18:40.1526841Z 84f191ac8f70: Download complete
2025-03-21T20:18:40.1660482Z 33d66e1ce781: Download complete
2025-03-21T20:18:41.4444322Z 0f89db74a98d: Pull complete
2025-03-21T20:18:41.4710023Z 32a4514e7ff5: Pull complete
2025-03-21T20:18:41.7810753Z 37c6f550ae9b: Pull complete
2025-03-21T20:18:41.9740309Z 41326e4613eb: Pull complete
2025-03-21T20:18:42.0967991Z c5561e75697a: Pull complete
2025-03-21T20:18:42.1973938Z e6a0b1cdd23a: Pull complete
2025-03-21T20:18:42.4077980Z 55a35e56f796: Pull complete
2025-03-21T20:18:42.6007897Z 4116b07c7ca1: Pull complete
2025-03-21T20:18:43.2551908Z cf6a0478ca56: Pull complete
2025-03-21T20:18:43.4660155Z 3b4cd7004f33: Pull complete
2025-03-21T20:18:48.5792935Z 0b23b48b8fce: Verifying Checksum
2025-03-21T20:18:48.5793479Z 0b23b48b8fce: Download complete
2025-03-21T20:18:49.4473919Z 9c1e20dd9a42: Pull complete
2025-03-21T20:18:49.4703574Z 145833aca283: Pull complete
2025-03-21T20:18:49.4952869Z 1a18f7e26037: Pull complete
2025-03-21T20:18:49.5179875Z 82635263661e: Pull complete
2025-03-21T20:18:51.7854402Z 0551c017ae81: Pull complete
2025-03-21T20:18:51.8089617Z c16e35c96614: Pull complete
2025-03-21T20:18:51.8324901Z 3ad3c7d7d14a: Pull complete
2025-03-21T20:18:51.8559236Z 8830bd728cbd: Pull complete
2025-03-21T20:18:51.8795092Z a9de9234777c: Pull complete
2025-03-21T20:19:25.8983546Z 0b23b48b8fce: Pull complete
2025-03-21T20:19:26.0946527Z 5e7729c8c19f: Pull complete
2025-03-21T20:19:33.0128394Z 02aa2fb43457: Pull complete
2025-03-21T20:19:33.0368105Z 3464920c9c02: Pull complete
2025-03-21T20:19:40.5407771Z 87684e5c474c: Pull complete
2025-03-21T20:19:40.7594761Z 44b50c5e2ca6: Pull complete
2025-03-21T20:19:41.0950869Z 224753fce160: Pull complete
2025-03-21T20:19:41.2894920Z 4f4fb700ef54: Pull complete
2025-03-21T20:19:41.4987228Z 788b314b21e5: Pull complete
2025-03-21T20:19:41.7311565Z 33d66e1ce781: Pull complete
2025-03-21T20:19:42.1302441Z 84f191ac8f70: Pull complete
2025-03-21T20:19:42.2379614Z Digest: sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:19:42.2713389Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:42.2917809Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:42.2982813Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:42.2984311Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:42.2994597Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:19:42.2995275Z env:
2025-03-21T20:19:42.2995916Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:19:42.2997184Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:42.2997751Z   PR_NUMBER: 
2025-03-21T20:19:42.3000430Z   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}"

2025-03-21T20:19:42.3003642Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:42.3004654Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:42.3005566Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:42.3006230Z ##[endgroup]
2025-03-21T20:19:42.3255360Z ##[group]Run set -ex
2025-03-21T20:19:42.3255988Z set -ex
2025-03-21T20:19:42.3256413Z {
2025-03-21T20:19:42.3257040Z   echo "#!/usr/bin/env bash";
2025-03-21T20:19:42.3257741Z   echo "set -eou pipefail";
2025-03-21T20:19:42.3258397Z   # shellcheck disable=SC2016
2025-03-21T20:19:42.3259132Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:19:42.3259745Z   echo "set -x";
2025-03-21T20:19:42.3260242Z   echo "${SCRIPT}";
2025-03-21T20:19:42.3260668Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:42.3261156Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:42.3262163Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:19:42.3270639Z shell: /usr/bin/bash -e {0}
2025-03-21T20:19:42.3271052Z env:
2025-03-21T20:19:42.3272081Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:42.3273180Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:42.3273602Z   PR_NUMBER: 
2025-03-21T20:19:42.3275936Z   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}"

2025-03-21T20:19:42.3278580Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:42.3279413Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:42.3280197Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:42.3281304Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:19:42.3281838Z ##[endgroup]
2025-03-21T20:19:42.3315306Z + echo '#!/usr/bin/env bash'
2025-03-21T20:19:42.3315815Z + echo 'set -eou pipefail'
2025-03-21T20:19:42.3316248Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:19:42.3316700Z + echo 'set -x'
2025-03-21T20:19:42.3317272Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:19:42.3318072Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:19:42.3318614Z conda activate "${CONDA_ENV}"
2025-03-21T20:19:42.3318884Z 
2025-03-21T20:19:42.3319035Z MODEL_NAME=mobilebert
2025-03-21T20:19:42.3319401Z BUILD_TOOL="cmake"
2025-03-21T20:19:42.3319861Z BACKEND=portable
2025-03-21T20:19:42.3320245Z 
2025-03-21T20:19:42.3320665Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:19:42.3321427Z # Build and test ExecuTorch
2025-03-21T20:19:42.3322403Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
2025-03-21T20:19:42.3323603Z '
2025-03-21T20:19:42.3324041Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:19:42.3331537Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:20:05.4443973Z Running command: 
2025-03-21T20:20:05.4452428Z         docker run             -e PR_NUMBER             -e RUNNER_ARTIFACT_DIR=/artifacts             -e RUNNER_DOCS_DIR=/docs             -e RUNNER_TEST_RESULTS_DIR=/test-results             --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_14000170668"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0                          -v "/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch:/pytorch/executorch"             -v "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra:/test-infra"             -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts"             -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs"             -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results"             -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec"             -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_d38122c4-d608-44c9-841e-49498545cece":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_d38122c4-d608-44c9-841e-49498545cece"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:20:05.4460674Z         
2025-03-21T20:20:05.4461168Z a3eb64b2fe7b922be4faf5b51f7f665438de04a35ee3f8652324a126ed488eb7
2025-03-21T20:20:05.4462155Z Running command: docker exec -t a3eb64b2fe7b922be4faf5b51f7f665438de04a35ee3f8652324a126ed488eb7 /exec
2025-03-21T20:20:05.4462973Z ++ conda env list --json
2025-03-21T20:20:05.4463346Z ++ local cmd=env
2025-03-21T20:20:05.4463675Z ++ case "$cmd" in
2025-03-21T20:20:05.4464035Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:20:05.4464426Z ++ __conda_exe env list --json
2025-03-21T20:20:05.4464866Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:20:05.4465339Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:20:05.4465794Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:20:05.4466252Z + local cmd=activate
2025-03-21T20:20:05.4466602Z + case "$cmd" in
2025-03-21T20:20:05.4467090Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:20:05.4467605Z + '[' -n '' ']'
2025-03-21T20:20:05.4467925Z + local ask_conda
2025-03-21T20:20:05.4468279Z ++ PS1='(base) '
2025-03-21T20:20:05.4468734Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:20:05.4469431Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:20:05.4470042Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:20:05.4471258Z 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'\''
2025-03-21T20:20:05.4472555Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:20:05.4473071Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:20:05.4473502Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:20:05.4474009Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:20:05.4474517Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:20:05.4475028Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:20:05.4475501Z export _CE_M='\'''\''
2025-03-21T20:20:05.4475877Z export _CE_CONDA='\'''\''
2025-03-21T20:20:05.4476353Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:20:05.4476874Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:20:05.4478067Z 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'\''
2025-03-21T20:20:05.4479357Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:20:05.4480105Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:20:05.4480537Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:20:05.4481041Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:20:05.4481542Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:20:05.4482037Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:20:05.4482507Z export _CE_M='\'''\''
2025-03-21T20:20:05.4482868Z export _CE_CONDA='\'''\''
2025-03-21T20:20:05.4483328Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:20:05.4484021Z ++ PS1='(py_3.10) '
2025-03-21T20:20:05.4485183Z ++ 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
2025-03-21T20:20:05.4487105Z ++ 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
2025-03-21T20:20:05.4488329Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:20:05.4488836Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:20:05.4489291Z ++ export CONDA_SHLVL=2
2025-03-21T20:20:05.4489753Z ++ CONDA_SHLVL=2
2025-03-21T20:20:05.4490117Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:20:05.4490558Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:20:05.4490995Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:20:05.4491487Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:20:05.4491936Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:20:05.4492382Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:20:05.4492836Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:20:05.4493290Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:20:05.4493700Z ++ export _CE_M=
2025-03-21T20:20:05.4494024Z ++ _CE_M=
2025-03-21T20:20:05.4494335Z ++ export _CE_CONDA=
2025-03-21T20:20:05.4494680Z ++ _CE_CONDA=
2025-03-21T20:20:05.4495049Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:20:05.4495576Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:20:05.4496023Z + __conda_hashr
2025-03-21T20:20:05.4496352Z + '[' -n '' ']'
2025-03-21T20:20:05.4496673Z + '[' -n '' ']'
2025-03-21T20:20:05.4496987Z + hash -r
2025-03-21T20:20:05.4497306Z + MODEL_NAME=mobilebert
2025-03-21T20:20:05.4497667Z + BUILD_TOOL=cmake
2025-03-21T20:20:05.4498015Z + BACKEND=portable
2025-03-21T20:20:05.4498367Z + PYTHON_EXECUTABLE=python
2025-03-21T20:20:05.4498835Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:20:05.4499373Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:20:05.4499839Z + source .ci/scripts/utils.sh
2025-03-21T20:20:05.4500274Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:20:05.4500735Z ++ parse_args --build-tool cmake
2025-03-21T20:20:05.4501165Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:20:05.4501560Z ++ local args
2025-03-21T20:20:05.4501874Z ++ local i
2025-03-21T20:20:05.4502185Z ++ local BUILD_TOOL=
2025-03-21T20:20:05.4502530Z ++ local BUILD_MODE=
2025-03-21T20:20:05.4502891Z ++ local EDITABLE=
2025-03-21T20:20:05.4503224Z ++ (( i=0 ))
2025-03-21T20:20:05.4503570Z ++ (( i<2 ))
2025-03-21T20:20:05.4503910Z ++ case "${args[$i]}" in
2025-03-21T20:20:05.4504276Z ++ BUILD_TOOL=cmake
2025-03-21T20:20:05.4504610Z ++ i=1
2025-03-21T20:20:05.4504908Z ++ (( i++ ))
2025-03-21T20:20:05.4505219Z ++ (( i<2 ))
2025-03-21T20:20:05.4505534Z ++ '[' -z cmake ']'
2025-03-21T20:20:05.4505891Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:20:05.4506307Z ++ BUILD_MODE=Release
2025-03-21T20:20:05.4506685Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:20:05.4507132Z ++ EDITABLE=false
2025-03-21T20:20:05.4507482Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:20:05.4507904Z ++ echo 'cmake Release false'
2025-03-21T20:20:05.4508307Z + [[ false == \t\r\u\e ]]
2025-03-21T20:20:05.4508736Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:20:05.4509203Z + which pip
2025-03-21T20:20:05.4509536Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:20:05.4510095Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:20:05.4511191Z 2025-03-21 20:20:04,257 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:20:05.4512097Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:20:05.4513228Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:20:05.4514498Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:20:05.4515932Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:20:05.4516993Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:20:05.4517702Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:20:05.4518872Z 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)
2025-03-21T20:20:05.4520606Z 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)
2025-03-21T20:20:05.4521841Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:20:05.4522745Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (6.3 kB)
2025-03-21T20:20:05.4524083Z 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)
2025-03-21T20:20:05.4525639Z 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)
2025-03-21T20:20:05.4527260Z 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)
2025-03-21T20:20:05.4528873Z 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)
2025-03-21T20:20:05.4532405Z 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)
2025-03-21T20:20:05.4533986Z 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)
2025-03-21T20:20:05.4535754Z 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)
2025-03-21T20:20:05.4537599Z 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)
2025-03-21T20:20:05.4539541Z 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)
2025-03-21T20:20:05.4541502Z Requirement already satisfied: numpy>=1.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.2.4)
2025-03-21T20:20:24.0102668Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (24.2)
2025-03-21T20:20:24.0104769Z Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2024.11.6)
2025-03-21T20:20:24.0106715Z Requirement already satisfied: requests in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.32.3)
2025-03-21T20:20:24.0108661Z Requirement already satisfied: tokenizers<0.22,>=0.21 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (0.21.1)
2025-03-21T20:20:24.0111303Z Requirement already satisfied: tqdm>=4.27 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (4.67.1)
2025-03-21T20:20:24.0112973Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (4.12.2)
2025-03-21T20:20:24.0114599Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:20:24.0115945Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:20:24.0117227Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:20:24.0118506Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:20:24.0119869Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision) (11.1.0)
2025-03-21T20:20:24.0121300Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch) (1.3.0)
2025-03-21T20:20:24.0122760Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:20:24.0124572Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.4.1)
2025-03-21T20:20:24.0126651Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.10)
2025-03-21T20:20:24.0128658Z Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.3.0)
2025-03-21T20:20:24.0131089Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2025.1.31)
2025-03-21T20:20:24.0132429Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:20:24.0133946Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
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2025-03-21T20:20:24.0136017Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (27.2 MB)
2025-03-21T20:20:24.0137104Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.2 MB ? eta -:--:--
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2025-03-21T20:20:24.0139905Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:20:24.0140417Z   Attempting uninstall: timm
2025-03-21T20:20:24.0140856Z     Found existing installation: timm 0.6.13
2025-03-21T20:20:24.0141344Z     Uninstalling timm-0.6.13:
2025-03-21T20:20:24.0141813Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:20:24.0142329Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:20:24.0142830Z Processing ./third-party/ao
2025-03-21T20:20:24.0143427Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-21T20:20:24.0144100Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:20:24.0144880Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - done
2025-03-21T20:20:24.0146874Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=ec49631c68405228eb45437176eec543d7e09ce1f43fb2ad431d724c09d9b2d6
2025-03-21T20:20:24.0148530Z   Stored in directory: /tmp/pip-ephem-wheel-cache-uiqqb2l_/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:20:24.0149494Z Successfully built torchao
2025-03-21T20:20:24.0149919Z Installing collected packages: torchao
2025-03-21T20:20:24.0150444Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:20:24.0151424Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-03-21T20:20:24.0152478Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:20:24.0153242Z Processing /pytorch/executorch
2025-03-21T20:20:24.0153741Z   Running command Preparing metadata (pyproject.toml)
2025-03-21T20:20:24.0154270Z   running dist_info
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2025-03-21T20:20:24.0155587Z   writing /tmp/pip-modern-metadata-ay3o_5sm/executorch.egg-info/PKG-INFO
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2025-03-21T20:20:24.0161947Z   reading manifest file '/tmp/pip-modern-metadata-ay3o_5sm/executorch.egg-info/SOURCES.txt'
2025-03-21T20:20:24.0162700Z   adding license file 'LICENSE'
2025-03-21T20:20:24.0163403Z   writing manifest file '/tmp/pip-modern-metadata-ay3o_5sm/executorch.egg-info/SOURCES.txt'
2025-03-21T20:20:24.0164393Z   creating '/tmp/pip-modern-metadata-ay3o_5sm/executorch-0.6.0a0+be92d7d.dist-info'
2025-03-21T20:20:24.0165381Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
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2025-03-21T20:20:24.0169338Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-03-21T20:20:24.0171303Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
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2025-03-21T20:20:24.0184975Z   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
2025-03-21T20:20:24.0186686Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
2025-03-21T20:20:24.0187460Z Collecting pytest-rerunfailures (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:24.0189461Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/89/37/54e5ffc7c0cebee7cf30a3ac5915faa7e7abf8bdfdf3228c277f7c192489/pytest_rerunfailures-15.0-py3-none-any.whl.metadata
2025-03-21T20:20:24.0191385Z   Downloading pytest_rerunfailures-15.0-py3-none-any.whl.metadata (19 kB)
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2025-03-21T20:20:39.1519815Z   Obtaining dependency information for tabulate from https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl.metadata
2025-03-21T20:20:39.1521638Z   Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
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2025-03-21T20:20:39.1544713Z   Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl.metadata
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2025-03-21T20:20:39.1547965Z Collecting execnet>=2.1 (from pytest-xdist->executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:39.1549816Z   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
2025-03-21T20:20:39.1551656Z   Downloading execnet-2.1.1-py3-none-any.whl.metadata (2.9 kB)
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2025-03-21T20:20:39.1584639Z Building wheels for collected packages: executorch
2025-03-21T20:20:39.1585298Z   Running command Building wheel for executorch (pyproject.toml)
2025-03-21T20:20:39.1585888Z   running bdist_wheel
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2025-03-21T20:20:39.1587084Z     build_base = pip-out
2025-03-21T20:20:39.1587497Z     build_purelib = pip-out/lib
2025-03-21T20:20:39.1588012Z     build_platlib = pip-out/lib.linux-aarch64-cpython-310
2025-03-21T20:20:39.1588635Z     build_lib = pip-out/lib.linux-aarch64-cpython-310
2025-03-21T20:20:39.1589171Z     build_scripts = pip-out/scripts-3.10
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2025-03-21T20:20:39.1590270Z     plat_name = linux-aarch64
2025-03-21T20:20:39.1590676Z     compiler = None
2025-03-21T20:20:39.1591036Z     parallel = 7
2025-03-21T20:20:39.1591370Z     debug = None
2025-03-21T20:20:39.1591707Z     force = None
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2025-03-21T20:20:39.6202369Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_avgpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:39.6205623Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:30:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.6207556Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:39.6208315Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.6209004Z         |                                                                  |
2025-03-21T20:20:39.6209687Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:39.6210849Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.6212898Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.6214111Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.6214579Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.6216412Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:31:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.6218290Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:39.6219023Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.6219536Z         |                                                                |
2025-03-21T20:20:39.6220058Z         |                                                                const xnn_float16 *
2025-03-21T20:20:39.6221212Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.6223203Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.6224382Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.6224848Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.6226720Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:32:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.6228564Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:39.6230468Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.6231041Z         |                                                                |
2025-03-21T20:20:39.6231560Z         |                                                                const xnn_float16 *
2025-03-21T20:20:39.6232706Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.6234917Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.6236108Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.6236577Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.6238439Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:300:25: warning: passing argument 1 of ‘vst1_lane_u32’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.6240812Z     300 |           vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:39.6241610Z         |                         ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.6242066Z         |                         |
2025-03-21T20:20:39.6242525Z         |                         uint16_t * {aka short unsigned int *}
2025-03-21T20:20:39.6243663Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.6259343Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26598:26: note: expected ‘uint32_t *’ {aka ‘unsigned int *’} but argument is of type ‘uint16_t *’ {aka ‘short unsigned int *’}
2025-03-21T20:20:39.6260726Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:39.6261312Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:39.6262534Z   [  6%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c.o
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2025-03-21T20:20:39.6265362Z   [  6%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/logging.dir/src/enums/operator-type.c.o
2025-03-21T20:20:39.6267372Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_avgpool_minmax_ukernel_9x__neonfp16arith_c8’:
2025-03-21T20:20:39.7880013Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:30:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7882275Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:39.7883561Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7884130Z         |                                                                  |
2025-03-21T20:20:39.7884663Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:39.7885810Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.7887948Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.7889145Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.7889737Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.7891600Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:31:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7893484Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:39.7894218Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7894731Z         |                                                                |
2025-03-21T20:20:39.7895242Z         |                                                                const xnn_float16 *
2025-03-21T20:20:39.7896388Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.7898384Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.7899572Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.7900533Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.7902397Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:32:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7904231Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:39.7905174Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7905731Z         |                                                                |
2025-03-21T20:20:39.7906265Z         |                                                                const xnn_float16 *
2025-03-21T20:20:39.7907399Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.7909408Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.7910610Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.7911073Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.7912947Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:165:23: warning: passing argument 1 of ‘vst1_lane_u32’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7914890Z     165 |         vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:39.7915674Z         |                       ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7916119Z         |                       |
2025-03-21T20:20:39.7916575Z         |                       uint16_t * {aka short unsigned int *}
2025-03-21T20:20:39.7917701Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:39.7919692Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26598:26: note: expected ‘uint32_t *’ {aka ‘unsigned int *’} but argument is of type ‘uint16_t *’ {aka ‘short unsigned int *’}
2025-03-21T20:20:39.7920974Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:39.7921558Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:39.7922358Z   [  6%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/logging.dir/src/log.c.o
2025-03-21T20:20:39.7923491Z   [  6%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o
2025-03-21T20:20:39.7924343Z   -- Looking for realpath - found
2025-03-21T20:20:39.7924849Z   -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-03-21T20:20:39.7925374Z   -- Configuring done (0.8s)
2025-03-21T20:20:39.7925799Z   -- Generating done (0.0s)
2025-03-21T20:20:39.7926718Z   -- Build files have been written to: /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/third-party/flatbuffers
2025-03-21T20:20:39.7928949Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c: In function ‘xnn_f16_conv_hwc2chw_ukernel_3x3s2p1c3x4__neonfp16arith_2x2’:
2025-03-21T20:20:39.7932224Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:53:62: warning: passing argument 1 of ‘vld1_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7934137Z      53 |   const float16x4_t vmax = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.max));
2025-03-21T20:20:39.7934848Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7935357Z         |                                                              |
2025-03-21T20:20:39.7936246Z         |                                                              const xnn_float16 *
2025-03-21T20:20:39.7937462Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
2025-03-21T20:20:39.7939548Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16858:31: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.7940971Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.7941482Z         |               ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.7943527Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:54:62: warning: passing argument 1 of ‘vld1_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:39.7945439Z      54 |   const float16x4_t vmin = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.min));
2025-03-21T20:20:39.7946171Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:39.7946687Z         |                                                              |
2025-03-21T20:20:39.7947208Z         |                                                              const xnn_float16 *
2025-03-21T20:20:39.7948421Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
2025-03-21T20:20:39.7950495Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16858:31: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:39.7951676Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:39.7952137Z         |               ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:39.7953316Z   [  6%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-neonfp16arith-acc2.c.o
2025-03-21T20:20:39.7954551Z   [  6%] Performing build step for 'flatbuffers'
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2025-03-21T20:20:41.4461823Z   [ 50%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o
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2025-03-21T20:20:41.4474701Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o
2025-03-21T20:20:41.4475910Z   [ 57%] Building CXX object CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o
2025-03-21T20:20:41.4477341Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c.o
2025-03-21T20:20:41.4479875Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_maxpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:41.4482720Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:28:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.4484651Z      28 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:41.4485418Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.4485957Z         |                                                                       |
2025-03-21T20:20:41.4486488Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.4487639Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.4489785Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.4490974Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.4491439Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.4493302Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:29:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.4495204Z      29 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:41.4495970Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.4496488Z         |                                                                       |
2025-03-21T20:20:41.4497022Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.5648723Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5651086Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5652278Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5653217Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5654390Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c.o
2025-03-21T20:20:41.5656078Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o
2025-03-21T20:20:41.5657287Z   [ 60%] Building CXX object CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o
2025-03-21T20:20:41.5658555Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o
2025-03-21T20:20:41.5660847Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_pavgpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:41.5663687Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:31:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5665651Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:41.5666428Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.5666945Z         |                                                                       |
2025-03-21T20:20:41.5667493Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.5668758Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5670799Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5672006Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5672472Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5674356Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:32:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5678759Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:41.5679587Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.5680121Z         |                                                                       |
2025-03-21T20:20:41.5680674Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.5681841Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5683991Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5685178Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5685634Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5687537Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:239:75: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5690079Z     239 |       const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:41.5691077Z         |                                                                           ^~~~~~~~~~
2025-03-21T20:20:41.5691600Z         |                                                                           |
2025-03-21T20:20:41.5692497Z         |                                                                           const xnn_float16 *
2025-03-21T20:20:41.5693691Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5695907Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5697105Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5697576Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5699145Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_pavgpool_minmax_ukernel_9x__neonfp16arith_c8’:
2025-03-21T20:20:41.5701913Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:31:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5703822Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:41.5704599Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.5705109Z         |                                                                       |
2025-03-21T20:20:41.5705650Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.5706794Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5708804Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5710021Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5710491Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5712332Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:32:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5714500Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:41.5715280Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:41.5715804Z         |                                                                       |
2025-03-21T20:20:41.5716335Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:41.5717492Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5719541Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5720722Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5721175Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5723047Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:106:73: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:41.5725180Z     106 |     const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:41.5726168Z         |                                                                         ^~~~~~~~~~
2025-03-21T20:20:41.5726990Z         |                                                                         |
2025-03-21T20:20:41.5727538Z         |                                                                         const xnn_float16 *
2025-03-21T20:20:41.5728702Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:41.5732703Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:41.5733938Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:41.5734427Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:41.5735548Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c.o
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2025-03-21T20:20:41.5739069Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o
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2025-03-21T20:20:42.4805882Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c: In function ‘xnn_f16_qs8_vcvt_ukernel__neonfp16arith_u32’:
2025-03-21T20:20:42.4808514Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c:32:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:42.4810493Z      32 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:42.4811254Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:42.4811779Z         |                                                                  |
2025-03-21T20:20:42.4812310Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:42.4813447Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c:12:
2025-03-21T20:20:42.4815513Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:42.4816692Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:42.4817162Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:42.4817750Z   [ 68%] Building CXX object CMakeFiles/flatc.dir/src/flatc_main.cpp.o
2025-03-21T20:20:42.4818510Z   [ 71%] Building CXX object CMakeFiles/flatc.dir/src/binary_annotator.cpp.o
2025-03-21T20:20:42.4819639Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/unary-elementwise-nc.c.o
2025-03-21T20:20:42.4822017Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c: In function ‘xnn_f16_raddstoreexpminusmax_ukernel__neonfp16arith_rr2_p2_u32’:
2025-03-21T20:20:42.4825795Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c:189:17: warning: passing argument 1 of ‘vst1_lane_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:42.4827893Z     189 |   vst1_lane_u16(sum, vreinterpret_u16_f16(vacc_lo), 0);
2025-03-21T20:20:42.4828616Z         |                 ^~~
2025-03-21T20:20:42.4829022Z         |                 |
2025-03-21T20:20:42.4829626Z         |                 xnn_float16 *
2025-03-21T20:20:42.4830922Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c:12:
2025-03-21T20:20:42.4833067Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26591:26: note: expected ‘uint16_t *’ {aka ‘short unsigned int *’} but argument is of type ‘xnn_float16 *’
2025-03-21T20:20:42.4834289Z   26591 | vst1_lane_u16 (uint16_t *__a, uint16x4_t __b, const int __lane)
2025-03-21T20:20:42.4834866Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:42.4835748Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o
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2025-03-21T20:20:49.7374397Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:49.7375604Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:49.7376681Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:20:49.7378083Z                    from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:20:49.7380941Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:20:49.7385101Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7387213Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:49.7387837Z         |                                                             ^
2025-03-21T20:20:49.7388638Z   [ 51%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:20:49.7389753Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cat.cpp.o
2025-03-21T20:20:49.7391110Z   [ 51%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcmul/gen/f32-vcmul-neon-u8.c.o
2025-03-21T20:20:49.7392527Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cdist_forward.cpp.o
2025-03-21T20:20:49.7393734Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ceil.cpp.o
2025-03-21T20:20:49.7395104Z   [ 51%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcmul/gen/f32-vcmul-scalar-u4.c.o
2025-03-21T20:20:49.7396478Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clamp.cpp.o
2025-03-21T20:20:49.7397647Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clone.cpp.o
2025-03-21T20:20:49.7398799Z   [ 51%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:20:49.7400186Z   [ 51%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vcopysign-neon.c.o
2025-03-21T20:20:49.7401651Z   [ 51%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_constant_pad_nd.cpp.o
2025-03-21T20:20:49.7403130Z   [ 51%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vcopysign-scalar.c.o
2025-03-21T20:20:49.7404576Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution.cpp.o
2025-03-21T20:20:49.7405709Z   [ 52%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:20:49.7407048Z   [ 52%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vcopysignc-neon.c.o
2025-03-21T20:20:49.7408558Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution_backward.cpp.o
2025-03-21T20:20:49.7409947Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_copy.cpp.o
2025-03-21T20:20:49.7411213Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:49.7412411Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:49.7413549Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:20:49.7414760Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:20:49.7415963Z                    from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:20:49.7418630Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:20:49.7422781Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7424842Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:49.7425473Z         |                                                             ^
2025-03-21T20:20:49.7426237Z   [ 52%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:20:49.7427330Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cos.cpp.o
2025-03-21T20:20:49.7428882Z   [ 52%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vcopysignc-scalar.c.o
2025-03-21T20:20:49.7430441Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cosh.cpp.o
2025-03-21T20:20:49.7431752Z   [ 52%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:20:49.7433202Z   [ 52%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vrcopysignc-neon.c.o
2025-03-21T20:20:49.7434621Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cumsum.cpp.o
2025-03-21T20:20:49.7435966Z   [ 52%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_detach_copy.cpp.o
2025-03-21T20:20:49.7437451Z   [ 52%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vcopysign/gen/f32-vrcopysignc-scalar.c.o
2025-03-21T20:20:49.7439274Z   [ 52%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-velu/gen/f32-velu-neon-rr2-lut16-p3-u8.c.o
2025-03-21T20:20:49.7440823Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:49.7560255Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:20:49.7566835Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7570607Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7572650Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7574571Z     170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:49.7575126Z         | ^~~~~~~~~~~~~~
2025-03-21T20:20:49.7578416Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:20:49.7584513Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7588278Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7590315Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7594639Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:20:49.7599751Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:49.7605690Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7609415Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7611454Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7612966Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:49.7613543Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.7616565Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:20:49.7621905Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:49.7627952Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7631751Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7633753Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7635173Z   In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:20:49.7635711Z                    from /usr/include/c++/11/array:38,
2025-03-21T20:20:49.7636353Z                    from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:20:49.7637195Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:20:49.7638096Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:20:49.7639007Z                    from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:20:49.7642754Z   /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = double; typename std::decay<_Tp2>::type = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = double; typename std::decay<_Tp>::type = double]’:
2025-03-21T20:20:49.7648305Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:49.7779002Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:49.7785026Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7789128Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7790866Z   /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7792746Z     567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:20:49.7793223Z         |     ^~~~~~~~~
2025-03-21T20:20:49.7796617Z   /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = float; typename std::decay<_Tp2>::type = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = float; typename std::decay<_Tp>::type = float]’:
2025-03-21T20:20:49.7802148Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:49.7807233Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:49.7813464Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:49.7817082Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:49.7819119Z   /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7822790Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:20:49.7826643Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7828088Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:49.7828668Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:49.7831902Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:20:49.7836161Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7837799Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:49.7840621Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4]’:
2025-03-21T20:20:49.7843944Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7845435Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:49.7846012Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.7850063Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘std::tuple<executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&> torch::executor::native::opt_native_layer_norm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, executorch::runtime::IntArrayRef, executorch::aten::optional<executorch::runtime::etensor::Tensor>&, executorch::aten::optional<executorch::runtime::etensor::Tensor>&, double, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&)’:
2025-03-21T20:20:49.7854843Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7856317Z     114 | std::tuple<Tensor&, Tensor&, Tensor&> opt_native_layer_norm_out(
2025-03-21T20:20:49.7856948Z         |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.7858621Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7861092Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7863592Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7865027Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:49.7865607Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:49.7867245Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:49.7868655Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:49.7869223Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
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2025-03-21T20:20:58.4541552Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:29:53: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:58.4543264Z      29 |   const int16x8_t vinput_zero_point = vld1q_dup_s16(&params->scalar.input_zero_point);
2025-03-21T20:20:58.4543989Z         |                                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:58.4544509Z         |                                                     |
2025-03-21T20:20:58.4545024Z         |                                                     const int32_t * {aka const int *}
2025-03-21T20:20:58.4546049Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:58.4547948Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:58.4549144Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:58.4549602Z         |                ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:58.4551312Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:32:54: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:58.4553045Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:59.2410528Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.2411109Z         |                                                      |
2025-03-21T20:20:59.2411636Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:59.2412741Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:59.2414881Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.2416068Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:59.2416523Z         |                ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:59.6768862Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:29:54: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.6770675Z      29 |   const uint16x8_t vinput_zero_point = vld1q_dup_u16(&params->scalar.input_zero_point);
2025-03-21T20:20:59.6771417Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.6771929Z         |                                                      |
2025-03-21T20:20:59.6772452Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:59.6773501Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:59.6775465Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.6776700Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:59.6777164Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.6778867Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:32:54: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.6780585Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:59.6781313Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.6782205Z         |                                                      |
2025-03-21T20:20:59.6782729Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:59.6783761Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:59.6786024Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.6787230Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:59.6787686Z         |                ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:59.6809100Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c: In function ‘xnn_s8_maxpool_minmax_ukernel_9p8x__neon_c16’:
2025-03-21T20:20:59.6811732Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:28:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.6813414Z      28 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:59.6814036Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.6814514Z         |                                              |
2025-03-21T20:20:59.6815030Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:59.6816101Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:59.6818035Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.6819222Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:59.6819934Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.6821678Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:29:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.6823342Z      29 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:59.6823958Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.6824607Z         |                                              |
2025-03-21T20:20:59.6825142Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:59.6826235Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:59.6828177Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.6830629Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:59.6831133Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.6832221Z   [ 92%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c.o
2025-03-21T20:20:59.6834184Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c: In function ‘xnn_s8_vclamp_ukernel__neon_u64’:
2025-03-21T20:20:59.6836498Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:24:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9619050Z      24 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:59.9619819Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9620371Z         |                                              |
2025-03-21T20:20:59.9620882Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:59.9621977Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:59.9624347Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.9625568Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:59.9626028Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.9627698Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:25:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9629412Z      25 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:59.9630513Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9631003Z         |                                              |
2025-03-21T20:20:59.9631515Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:59.9632501Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:59.9634601Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:59.9635829Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:59.9636279Z         |               ~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:59.9649548Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c: In function ‘xnn_u8_maxpool_minmax_ukernel_9p8x__neon_c16’:
2025-03-21T20:20:59.9652117Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:31:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9653790Z      31 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:59.9654425Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9654914Z         |                                               |
2025-03-21T20:20:59.9655448Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:59.9656548Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:59.9658603Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:59.9659861Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:59.9660310Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.9662059Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:32:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9663723Z      32 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:59.9664351Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9664838Z         |                                               |
2025-03-21T20:20:59.9665363Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:59.9666703Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:59.9668753Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:59.9670020Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:59.9670646Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:59.9678000Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:24:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9679562Z      24 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:59.9680201Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9680697Z         |                                               |
2025-03-21T20:20:59.9681227Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:59.9682256Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:59.9684171Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:59.9685422Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:59.9685881Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:59.9687518Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:25:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:59.9689092Z      25 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:59.9689835Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:59.9690323Z         |                                               |
2025-03-21T20:20:59.9690856Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:59.9691837Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:59.9693785Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:59.9695043Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:59.9695492Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:21:14.0229143Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0235986Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h: In instantiation of ‘void hadamard_mult_28_strided(T*, int) [with T = c10::Half]’:
2025-03-21T20:21:14.0258312Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:133:29:   required from ‘void executorch::fast_hadamard_transform_28N(T*, int) [with T = c10::Half]’
2025-03-21T20:21:14.0260435Z   /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:70:3:   required from here
2025-03-21T20:21:14.0265027Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:121:21: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0270016Z     121 |     out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0271884Z         |              ~~~~~~~^~~~
2025-03-21T20:21:14.0272845Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0275125Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0278582Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0280940Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0283148Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0286328Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0289624Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0293406Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0295695Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0297064Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0299405Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0301792Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0304915Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:121:21: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0310286Z     121 |     out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0312030Z         |              ~~~~~~~^~~~
2025-03-21T20:21:14.0316110Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:130:21: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0321065Z     130 |     out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0322847Z         |              ~~~~~~~^~~~
2025-03-21T20:21:14.0323814Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0325501Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0327437Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0330244Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0332074Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0333450Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0335116Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0337615Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0339204Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0339777Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0341368Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0343208Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0346143Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:130:21: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0348675Z     130 |     out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0349449Z         |              ~~~~~~~^~~~
2025-03-21T20:21:14.0351877Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:131:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0354417Z     131 |     out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0355366Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0356903Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0358466Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0360161Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0361910Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0363137Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0364493Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0365774Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0367703Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0368842Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0369511Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0370621Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0372012Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0374092Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:131:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0375963Z     131 |     out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0376747Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0378544Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:132:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0380739Z     132 |     out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
2025-03-21T20:21:14.0381504Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0382222Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0383395Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0384709Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0386015Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0387222Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0388566Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0389842Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0391755Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0392884Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0393442Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0394534Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0396056Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0398196Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:132:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0400051Z     132 |     out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
2025-03-21T20:21:14.0400828Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0402624Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:133:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0404774Z     133 |     out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0405540Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0406268Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0407422Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0408753Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0410214Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0411432Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0412781Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0414059Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0415715Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0416873Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0417432Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0418535Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0419926Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0421992Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:133:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0424293Z     133 |     out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0425296Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0427103Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:136:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0429685Z     136 |     out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
2025-03-21T20:21:14.0430511Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0431229Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0432399Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0433738Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0435069Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0436282Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0437647Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0439469Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0441222Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0442390Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0442968Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0444075Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0445471Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0447558Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:136:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0449555Z     136 |     out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
2025-03-21T20:21:14.0450342Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0452124Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:138:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0454278Z     138 |     out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
2025-03-21T20:21:14.0455044Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0455763Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0456921Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0458242Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0495700Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0497007Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0498684Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0500004Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0501893Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0503073Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0503685Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0504838Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0506912Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0509056Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:138:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0510980Z     138 |     out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
2025-03-21T20:21:14.0511752Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0513567Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:139:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0515893Z     139 |     out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:14.0516680Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0517873Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0519065Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0520394Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0521733Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0522937Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0524291Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0525589Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0527344Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0528512Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0529086Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0531241Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0532630Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0534767Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:139:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0536867Z     139 |     out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:14.0537667Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0539472Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:141:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0541648Z     141 |     out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0542428Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0543166Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0544340Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0545663Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0546996Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0548218Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0549573Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0550863Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0552692Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0553855Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0554429Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0555526Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0556931Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0559004Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:141:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0560877Z     141 |     out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:14.0561653Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0563442Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:143:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0565929Z     143 |     out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:14.0566700Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0567418Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0568726Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0570206Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0571528Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0572871Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0574212Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0575497Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0579045Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0580193Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0612210Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0613460Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0614904Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0617172Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:143:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0619068Z     143 |     out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:14.0619858Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0621653Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:144:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0623801Z     144 |     out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:14.0624565Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0625282Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0626453Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0627775Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0629089Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0630491Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0632285Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0633571Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0635469Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0636634Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0637206Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0638314Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0639712Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0641810Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:144:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0643691Z     144 |     out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:14.0644464Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0646259Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:147:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0648423Z     147 |     out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0649202Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0650290Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0651445Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0652771Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0654086Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0655281Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0656630Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0657906Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0659556Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:14.0660720Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:14.0661306Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0662418Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0663821Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0666182Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:147:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:14.0668035Z     147 |     out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:14.0668806Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0670722Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:148:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:14.0672892Z     148 |     out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:14.0673671Z         |               ~~~~~~~^~~~
2025-03-21T20:21:14.0674392Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:14.0675562Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:14.0676882Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:14.0678192Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:14.0679396Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:14.0680740Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:14.0682027Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:14.0683652Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:14.0684788Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:14.0685360Z         |                              ^~~~~~~~
2025-03-21T20:21:14.0686454Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:14.0687841Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:14.0690013Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:148:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:25.2041491Z     148 |     out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:25.2042379Z         |               ~~~~~~~^~~~
2025-03-21T20:21:25.2042938Z   [100%] Linking CXX shared library libcustom_ops_aot_lib.so
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2025-03-21T20:21:25.2087349Z   quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out
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2025-03-21T20:21:25.2288567Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:25.2289986Z   copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:25.2291631Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:25.2292975Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:25.2294285Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:25.2296148Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:25.2297553Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:25.2299061Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:25.2300635Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:25.2302201Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:25.2303636Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2304890Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2306454Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2308048Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2309600Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2311176Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2312796Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2314412Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2316048Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2317657Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2319294Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2320896Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2322432Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2324027Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2325607Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2327133Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2328679Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2330557Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2332112Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2333682Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2420875Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:25.2422252Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:25.2423514Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:25.2425456Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:25.2426849Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:25.2428260Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:25.2430198Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:25.2431579Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2432748Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2434193Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2435729Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2437224Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2438684Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2440180Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2441653Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:25.2442864Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:25.2444073Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:25.2445520Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:25.2446697Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2447799Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2449249Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2450904Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2452397Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2453733Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2455059Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2456425Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2457905Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2459785Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2461281Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2462720Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2464294Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2465747Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2467169Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2468580Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2470023Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2471451Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2472894Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2474331Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2475741Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2477139Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2478638Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2480108Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2481585Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2483095Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2484518Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2485989Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2487461Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2488843Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2490382Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2491836Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2493265Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2494651Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2495978Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2497595Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2499021Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2500481Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2502130Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:25.2503468Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2504735Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2506337Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2507979Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2509581Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2511204Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2611887Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2613632Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2615297Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2616967Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:25.2618297Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2619442Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2620812Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2622185Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2623513Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2624849Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2626185Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2627512Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2628887Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2630392Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2631711Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2633039Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2634838Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2636252Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2637588Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2639109Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2640471Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2641795Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2643133Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2644480Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2645784Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2647101Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2648426Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2649891Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2651288Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2652668Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2654030Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2655387Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2656784Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2658180Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2659553Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2660917Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2662280Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2663653Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2665014Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2666348Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2667676Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2669013Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2670346Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2671691Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2673327Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2674764Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2676334Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2677783Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2679150Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2680517Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:25.2681677Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2682803Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2684178Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2685637Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2687164Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2688708Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:25.2690016Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:25.2691072Z   copying backends/arm/test/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:25.2692299Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:25.2693562Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:25.2694829Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:25.2695898Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:25.2697015Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:25.2698144Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2699366Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2700850Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2702315Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2703801Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2801320Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2802937Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2804471Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2806490Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2808065Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:25.2809247Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2810802Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2812291Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2813719Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2815158Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2816663Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2818199Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2819686Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2821207Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2822691Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:25.2823863Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2824973Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2826293Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2827613Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2828932Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2830526Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2831884Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2833273Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2834661Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2835997Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2837303Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2838617Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2839962Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2841354Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2842749Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2844396Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2845778Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2847205Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2848745Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2850186Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2851493Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2852826Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2854183Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2855514Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2856822Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2858121Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2859496Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2860905Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2862314Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2863715Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2865061Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2866390Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2867731Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2869066Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2870452Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2871804Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2873144Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2874510Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2875875Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2877254Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2878582Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2879895Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2881244Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2882838Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2884218Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2885569Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2887043Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2888419Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2889887Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2891284Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2892651Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2970014Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2971573Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2972967Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2974342Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2975719Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2977093Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2978429Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2979743Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2981070Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2982422Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2983803Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2985252Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2986667Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2987985Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:25.2989130Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2990394Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2991940Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2993470Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2995028Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2997048Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.2998664Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.3000497Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.3002171Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.3003779Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.3005390Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:25.3006740Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:25.3008073Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:25.3009468Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:25.3010673Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:25.3012145Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:25.3013642Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:25.3015097Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:25.3016328Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:25.3017534Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:25.3018844Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:25.3020374Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:25.3022116Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:25.3023998Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:25.3026389Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:25.3028278Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3030459Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3032877Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3035136Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3037767Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3040091Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3042579Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3044917Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3047178Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3049491Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3051892Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3054279Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3056578Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3058876Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3061092Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3063280Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3065566Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3141788Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3144235Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3146582Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3148932Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3151218Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3153494Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3156177Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3158472Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3160959Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3163270Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3165551Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3167941Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3170261Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3172584Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3174986Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3177309Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3179590Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3181862Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:25.3183620Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:25.3185447Z   copying backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:25.3187325Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:21:25.3189224Z   copying backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:21:25.3190841Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3191926Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3193221Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3194576Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3195955Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3197506Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3198834Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3200225Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3201745Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3203179Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3204543Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3205844Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3207205Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3208587Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3209998Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3211343Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3212681Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3213976Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:25.3215085Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:25.3216248Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:25.3217650Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:25.3219059Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:25.3220458Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:25.3221606Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:25.3222759Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:25.3224131Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:25.3225553Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:25.3226786Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:25.3228096Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:25.3229868Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:25.3231496Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:25.3233078Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:25.3234661Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3235980Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3237584Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3304342Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3306031Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3307621Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3309247Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3310895Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3312538Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:25.3313850Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:25.3315102Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:25.3316425Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:25.3317903Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:25.3319709Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:25.3321185Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:25.3322642Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:25.3324476Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:25.3326326Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:25.3327772Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:25.3329155Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:25.3330830Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:25.3332385Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:25.3333932Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:25.3335433Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:25.3337288Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:25.3339173Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:25.3341448Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:25.3343069Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:25.3344996Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:25.3347237Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:25.3349429Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:25.3351184Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:25.3352946Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:25.3355142Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:25.3357326Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:25.3359494Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:25.3361267Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:25.3363049Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:25.3365289Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:25.3367542Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:25.3369874Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:25.3371640Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:25.3373358Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:25.3375454Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:25.3377151Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:25.3378836Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:25.3380984Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:25.3382917Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3384671Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3386989Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3389255Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3391438Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3393653Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3395852Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3398047Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:25.3399746Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3401365Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3461084Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3463295Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3465422Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3467518Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3469585Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3471660Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3473720Z   copying backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3475759Z   copying backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3477754Z   copying backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3479763Z   copying backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3481999Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3484527Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3486588Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3488827Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:25.3490602Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:25.3492296Z   copying backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:25.3494468Z   copying backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:25.3496125Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3497574Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3499298Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3500923Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3502584Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3504268Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3505934Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3507593Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3509245Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3510870Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3512498Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:25.3513806Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:25.3514997Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:25.3516588Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:25.3517969Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:25.3519202Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:25.3520702Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:25.3522221Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:25.3523948Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:25.3525199Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3526377Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3528013Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3529842Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3531386Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3532875Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3534412Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3536063Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3537700Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3539194Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3540696Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3542291Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3543873Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3545454Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3546982Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3548514Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3550067Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3551565Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3553103Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3554692Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3635551Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3637268Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3638806Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3640358Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3642298Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3643870Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3645430Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3647151Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3648624Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:25.3649915Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3651144Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3652630Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3654113Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3655642Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3657172Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3658625Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3660096Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3661594Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3663103Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3664565Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3666001Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3667443Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3668895Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3670522Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3671976Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3673454Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3674987Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3676467Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3677936Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3679399Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3681070Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3682530Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3684005Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3685578Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3687043Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3688526Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3690089Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3691594Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3693135Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3694651Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3696132Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3697607Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3699147Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3700692Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3702160Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3703608Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3705080Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3706559Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3708088Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3709560Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3711015Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3712472Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3713952Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3715454Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3716915Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3718353Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3719958Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3721394Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3722822Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3724372Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3725842Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3727285Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3728771Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3824339Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3825899Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3827427Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3828920Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3830583Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3832078Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3833598Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3835058Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3836516Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3838024Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3839514Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3841167Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3842744Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3844250Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3845721Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3847191Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3848663Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3850213Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3851643Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3853501Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3854976Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3856482Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3858249Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3860011Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3861562Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3863056Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3864541Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:25.3865743Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:25.3866955Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:25.3868168Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:25.3869435Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:25.3870998Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:25.3872525Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:25.3873747Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:25.3875020Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:25.3876615Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:25.3878168Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:25.3879678Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:25.3880951Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:25.3882271Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:25.3897786Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:25.3899438Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:25.3900636Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:25.3902073Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:25.3903493Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:25.3904636Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:25.3906131Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:25.3907521Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:25.3908755Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:25.3910450Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:25.3911965Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:25.3913345Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:25.3915111Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:25.3916736Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:25.3917964Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3919102Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3920529Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3922060Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3923565Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3925079Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3926618Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3928144Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3929952Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:25.3931193Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:25.3932503Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:25.4035886Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:25.4037264Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:25.4038526Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:25.4039724Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:25.4040992Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:25.4042383Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:25.4044083Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:25.4045793Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:25.4047460Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:25.4048626Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:25.4050344Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:25.4052039Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:25.4053347Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:25.4054770Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:25.4056368Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:25.4058079Z   copying backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:25.4059503Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4060895Z   copying backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4062610Z   copying backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4064363Z   copying backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4066154Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4067937Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4069662Z   copying backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:25.4071038Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:25.4072392Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:25.4073868Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4075642Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4077857Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4080033Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4082216Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4084348Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4086424Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4088768Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:25.4090701Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:25.4092768Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:25.4094783Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:25.4097105Z   copying backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:25.4098985Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4100140Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4101655Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4103268Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4104775Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4106244Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4107802Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4109344Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4110832Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4112376Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4113900Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4115390Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4116891Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4118365Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:25.4119570Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4120786Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4122263Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4123742Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4125176Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4126828Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4128351Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4130212Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4207315Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4208915Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4210486Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4211978Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4213432Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4214983Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4216642Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4218180Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4219625Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4221115Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4222638Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4224146Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4225637Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4227216Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4228788Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4230450Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4231964Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4233447Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4234927Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4236427Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4237913Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4239382Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4241329Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4242838Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4244335Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4245980Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4247484Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4248960Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4250540Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4252042Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4253544Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4255018Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4256517Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4258018Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4259570Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4261230Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4262784Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4264225Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4265729Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:25.4266978Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:25.4268209Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:25.4269758Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:25.4271069Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:25.4272363Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:25.4273978Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:25.4275312Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:25.4276689Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:25.4278440Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:25.4279961Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:25.4281138Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:25.4282620Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:25.4283869Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:25.4285370Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:25.4286758Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:25.4287907Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:25.4289294Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:25.4290780Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:25.4292196Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:25.4293469Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4294842Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4296525Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4298300Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4300085Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4386164Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4388066Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:25.4389534Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:25.4390972Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:25.4392658Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:25.4393998Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4395275Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4396788Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4398330Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4399914Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4401489Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4403090Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4405069Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4406644Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4408213Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4410212Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4411806Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4413437Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4414962Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:25.4416180Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4417382Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4418835Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4420317Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4421849Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4423338Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4424780Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4426226Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4427749Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4429469Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4430980Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4432452Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4433930Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4435373Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4436826Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4438325Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4439846Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4441362Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4442863Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4444605Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4446077Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4447565Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4449235Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4450884Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4452510Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4454018Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4455496Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4456974Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4458446Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4459895Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4461429Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4462961Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4464427Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4465879Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4467349Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4468847Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4470347Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4471814Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4473278Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4474822Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4476344Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:25.4477557Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4478911Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4480589Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4572412Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4574247Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4575936Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4578025Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4579774Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:25.4581142Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:25.4582558Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:25.4584338Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:25.4586106Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:25.4587546Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:25.4589032Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:25.4590864Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:25.4592273Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:25.4593516Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:25.4595002Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:25.4596297Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:25.4597693Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:25.4599082Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:25.4600486Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:25.4601907Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:25.4603353Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:25.4604823Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:25.4606354Z   copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:25.4607925Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:25.4609641Z   copying backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:25.4611604Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:25.4613923Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:25.4615543Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:21:25.4617259Z   copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:21:25.4618893Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:25.4620508Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:25.4622555Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:25.4624714Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:25.4626844Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:25.4628480Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4630502Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4632615Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4634732Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4636906Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4639100Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4641260Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4643348Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4645451Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4647589Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4649788Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4651881Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4654012Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4656535Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4658751Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4661126Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4663255Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4665314Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4667379Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.4669436Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5123183Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5125475Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5127684Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5130026Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5132001Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5133976Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5135940Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5137836Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:25.5139406Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:25.5141062Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:25.5143206Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:25.5145354Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:25.5147028Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:25.5148676Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:25.5150517Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen
2025-03-21T20:21:25.5151373Z   copying codegen/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen
2025-03-21T20:21:25.5152256Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5153214Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5154554Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5155751Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5156888Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5158105Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5159328Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5160460Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:25.5161463Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:25.5162588Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:25.5163930Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:25.5165311Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:25.5166771Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:25.5168009Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5169256Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5170919Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5172454Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5173897Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5175356Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:25.5176575Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5177773Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5179238Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5180766Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5182248Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5183711Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:25.5184877Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:25.5185873Z   copying examples/models/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:25.5187289Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:25.5188506Z   copying examples/models/model_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:25.5189730Z   copying examples/models/model_factory.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:25.5190843Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:25.5192158Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:25.5193614Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:25.5194774Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:25.5195852Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:25.5197109Z   copying examples/models/edsr/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:25.5198244Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:25.5199498Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:25.5200994Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:25.5202237Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:25.5203490Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:25.5204967Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:25.5206212Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:25.5207437Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:25.5208895Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:25.5210389Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:25.5211628Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:25.5213094Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:25.5214285Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5214874Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5305178Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5305854Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5306523Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5307147Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5307781Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5308389Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5309483Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5310096Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5310749Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5311565Z   copying examples/models/llama/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5312192Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5312761Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5313331Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5313990Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:25.5314429Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:25.5315118Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:25.5315514Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:25.5316093Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:25.5316713Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:25.5317312Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:25.5317896Z   copying examples/models/llava/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:25.5318267Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:25.5318824Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:25.5319382Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:25.5319793Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:25.5320444Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:25.5321093Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:25.5321530Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:25.5322189Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:25.5322858Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:25.5323281Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:25.5323941Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:25.5324594Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:25.5325040Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:25.5325927Z   copying examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:25.5326345Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5326983Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5327715Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5328453Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5329128Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5330075Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:25.5330508Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:25.5331145Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:25.5331840Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:25.5332244Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:25.5332841Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:25.5333490Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:25.5333881Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:25.5334474Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:25.5335071Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:25.5335443Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:25.5336003Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:25.5336596Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:25.5337044Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:25.5337747Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:25.5338461Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:25.5338865Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:25.5339475Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:25.5340098Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:25.5340512Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:25.5341158Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:25.5341802Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:25.5342653Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5343656Z   copying examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5344630Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5345801Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5346849Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5347754Z   copying examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5462472Z   copying examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:25.5462970Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:25.5463720Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:25.5464450Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:25.5464927Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:25.5465717Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:25.5466543Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:25.5467331Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:25.5468144Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:25.5468572Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:25.5469240Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:25.5469959Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:25.5470646Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:25.5471182Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5472044Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5472998Z   copying examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5473894Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5474815Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5476044Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5476985Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5478072Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5478985Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5479924Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5480922Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5481778Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5482634Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5483533Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5484474Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5485435Z   copying examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5486449Z   copying examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5487349Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:25.5487765Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:25.5488584Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:25.5489294Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:25.5490123Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:25.5490562Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:25.5491306Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:25.5491830Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:25.5492668Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:25.5493580Z   copying examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:25.5494601Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:25.5495511Z   copying examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:25.5495999Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:25.5496881Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:25.5497713Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:25.5498537Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:25.5499327Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:25.5499860Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:21:25.5500698Z   copying examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:21:25.5501249Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:25.5502123Z   copying examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:25.5503006Z   copying examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:25.5503572Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:25.5504483Z   copying examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:25.5505459Z   copying examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:25.5506035Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:25.5686492Z   copying examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:25.5687622Z   copying examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:25.5688100Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:25.5688788Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:25.5689521Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:25.5689963Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:25.5690625Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:25.5690917Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5691279Z   copying exir/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5692043Z   copying exir/_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5692416Z   copying exir/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5692814Z   copying exir/control_flow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5693200Z   copying exir/delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5693606Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5694213Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5694607Z   copying exir/error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5694972Z   copying exir/graph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5695373Z   copying exir/graph_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5695838Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5696208Z   copying exir/memory.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5696623Z   copying exir/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5697008Z   copying exir/pass_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5697405Z   copying exir/pass_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5697811Z   copying exir/print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5698205Z   copying exir/scalar_type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5698567Z   copying exir/schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5698941Z   copying exir/sym_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5699308Z   copying exir/tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5699674Z   copying exir/tracer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5700030Z   copying exir/types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5700407Z   copying exir/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5700905Z   copying exir/wrap.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:25.5701263Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5701797Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5702284Z   copying exir/_serialize/_cord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5702802Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:21:25.5704003Z   copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5704610Z   copying exir/_serialize/_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5705123Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5705655Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5706143Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:25.5706475Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5707078Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5708183Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5708716Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5709247Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5709907Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5710401Z   copying exir/backend/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:25.5710729Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:25.5711177Z   copying exir/capture/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:25.5711648Z   copying exir/capture/_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:25.5712098Z   copying exir/capture/_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:25.5712558Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:25.5712895Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:25.5713368Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:25.5713815Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:25.5714137Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:25.5714551Z   copying exir/emit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:25.5714996Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:25.5715430Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:25.5715760Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:25.5716248Z   copying exir/operator/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:25.5716710Z   copying exir/operator/manip.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:25.5717175Z   copying exir/operator/util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:25.5717503Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5717950Z   copying exir/passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5718549Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5719055Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5719578Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5720150Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5720694Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5721249Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5721842Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5722393Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5723060Z   copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5723669Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5724208Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5724750Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5725434Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5726056Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5726556Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5892514Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5893150Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5893667Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5894235Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5894831Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5895339Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5895911Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5896555Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5897162Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5897710Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5898306Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5898841Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5899341Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5899854Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5900357Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5900912Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:25.5901241Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:25.5902094Z   copying exir/program/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:25.5902600Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:25.5903080Z   copying exir/program/_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:25.5903403Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5903838Z   copying exir/serde/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5904337Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5905147Z   copying exir/serde/schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5905619Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5906073Z   copying exir/serde/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5906506Z   copying exir/serde/union.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5907148Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:25.5907502Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5907955Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5908395Z   copying exir/tests/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5908914Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5909440Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5909882Z   copying exir/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5910384Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5910865Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5911326Z   copying exir/tests/test_common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5911802Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5912306Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5912901Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5913353Z   copying exir/tests/test_error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5913842Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5914397Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5914978Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5915575Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5916091Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5916580Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5917064Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5917531Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5918031Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5918597Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5919123Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5919624Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5920141Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5920780Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5921244Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5921700Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5922164Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5922755Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5923258Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5923740Z   copying exir/tests/transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:25.5924100Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:25.5924685Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:25.5925220Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:25.5925797Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:25.5926339Z   copying exir/verification/verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:25.5926721Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5927261Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5927818Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5928427Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5929050Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5930066Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:25.5930544Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:25.5931396Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:25.5932284Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:25.5933170Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:25.6095724Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:25.6096170Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6096829Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6097568Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6098214Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6098837Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6099884Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6100474Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6101144Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6101926Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6102562Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6103179Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6103777Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6104387Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6105024Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6105626Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6106281Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6106869Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6107426Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6107964Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:25.6108365Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:25.6109063Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:25.6109751Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:25.6110167Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:25.6110972Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:25.6111776Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:25.6112437Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:25.6112829Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:25.6113378Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:25.6113745Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:25.6114258Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:25.6114623Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:25.6115244Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:25.6115660Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:25.6116366Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:25.6116893Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:25.6117484Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:25.6118055Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:25.6118550Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:25.6119203Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:25.6119869Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:25.6120483Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:25.6120877Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:25.6121428Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:25.6122044Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:25.6122443Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:25.6123031Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:25.6123638Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:25.6124032Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:25.6124682Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:25.6125333Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:25.6125751Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:25.6126408Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:25.6126753Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:25.6127260Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:25.6127624Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:25.6128222Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:25.6128584Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:25.6129111Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:25.6130121Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:25.6130695Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:25.6131092Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:25.6131729Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:25.6132123Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:25.6132715Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:25.6133382Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:25.6133951Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:25.6134514Z   copying extension/export_util/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:25.6134890Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:25.6135611Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:25.6135986Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:25.6136564Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:25.6137120Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:25.6352476Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:25.6353652Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:25.6354791Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:25.6355947Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:25.6356978Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:25.6358006Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:25.6359058Z   copying extension/training/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:25.6360182Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:25.6361484Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:25.6363091Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:25.6364746Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:25.6366035Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:25.6367279Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:25.6368547Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:25.6370078Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:25.6371398Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6372560Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6373944Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6375396Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6376851Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6378358Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6380396Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6381968Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6383476Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:25.6384873Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6385989Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6387283Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6388610Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6390004Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6391398Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6392787Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:25.6393956Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:25.6395065Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:25.6396442Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:25.6397850Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:25.6399193Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:25.6400319Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:25.6401463Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:25.6402862Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:25.6404292Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:25.6405683Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:25.6406832Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:25.6408020Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:25.6409461Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:25.6410972Z   copying extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:25.6412574Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:25.6414292Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:25.6416371Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:25.6418072Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:25.6419275Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:25.6420766Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:25.6422402Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:25.6424025Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:25.6425349Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:25.6426639Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:25.6428039Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:25.6429734Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:25.6431658Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:25.6433598Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:25.6435509Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:25.6437166Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:25.6439001Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:25.6441272Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:25.6442976Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:25.6444440Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:25.6445829Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:25.6552191Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:25.6553885Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:25.6555487Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:25.6556722Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:25.6557847Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:25.6559000Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:25.6560339Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:25.6561668Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:25.6563415Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:25.6565035Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:25.6566377Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:25.6568034Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:25.6569614Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:25.6571019Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:25.6572274Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:25.6573318Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:25.6574373Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:25.6575561Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:25.6577079Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:25.6578252Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:25.6579111Z   copying devtools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:25.6580048Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:25.6581159Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:25.6582537Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:25.6583723Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:25.6584889Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:25.6586254Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:25.6587619Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:25.6588760Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:25.6589887Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:25.6591221Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:25.6592291Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:25.6593332Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:25.6594552Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:25.6595594Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:25.6596623Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:25.6597839Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:25.6598908Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:25.6600179Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:25.6601422Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:25.6602728Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:25.6604211Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:25.6605408Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:25.6606688Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:25.6608268Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:25.6609659Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:25.6610817Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:25.6612260Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:25.6613826Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:25.6615118Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:25.6616429Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:25.6617759Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:25.6619058Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:25.6620697Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:25.6622116Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:25.6623473Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:25.6624786Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:25.6626095Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:25.6627668Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:25.6629387Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:25.6630710Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:25.6631987Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:25.6633295Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:25.6634716Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:25.6636144Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:25.6637642Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:25.6639320Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:25.6640484Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:25.6641658Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:25.6643020Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:25.6644262Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:25.6645504Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:26.6767100Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:26.6768903Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:26.6770457Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:26.6771824Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:26.6773204Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:26.6774665Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.6776624Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.6787696Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:26.6789366Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:26.6790951Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:26.6792554Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:26.6794127Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:26.6795776Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:26.6797604Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:26.6798916Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:26.6799772Z   copying runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:26.6800645Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:26.6801635Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:26.6802580Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:26.6803505Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:26.6804533Z   copying util/collect_env.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:26.6806072Z   copying util/python_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:26.6806788Z   running egg_info
2025-03-21T20:21:26.6807160Z   creating executorch.egg-info
2025-03-21T20:21:26.6807611Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:21:26.6808252Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:21:26.6809009Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:21:26.6809777Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:21:26.6810700Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:21:26.6811578Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:26.6812237Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:26.6812785Z   adding license file 'LICENSE'
2025-03-21T20:21:26.6813368Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:26.6814454Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:21:26.6816173Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:26.6817649Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:26.6819315Z   copying backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:26.6821010Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:26.6822412Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:26.6823841Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:26.6825407Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:26.6826722Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:26.6827891Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:26.6829531Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:26.6830898Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6832441Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6834410Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6836374Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6838238Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6840079Z   copying backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6841938Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6843794Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6846134Z   copying backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6848141Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6850304Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6852171Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6853974Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6855788Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6857624Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6859519Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6861519Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6863543Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6865560Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6867495Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6869392Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6871429Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6910657Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6912668Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6914646Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6916585Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6918451Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6920249Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6922086Z   copying backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6923999Z   copying backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6926187Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6928114Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6930709Z   copying backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6932625Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6934526Z   copying backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6936561Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6938569Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6940456Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6942291Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6944119Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6946013Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6947909Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6949742Z   copying backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6951586Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6953482Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6955369Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6957254Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6959192Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6961161Z   copying backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6963171Z   copying backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6965163Z   copying backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6967394Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6969429Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6971494Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6973440Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6975353Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6977253Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6979167Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6981095Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6983001Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6984838Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6986741Z   copying backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6988626Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:26.6990010Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:26.6991254Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:26.6992551Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.6994000Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.6995811Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.6997589Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.6999339Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.7001175Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.7002977Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:26.7004685Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:26.7006323Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:26.7051673Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:26.7053465Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:26.7055142Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:26.7057242Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:26.7059077Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:26.7061160Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:26.7063307Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:26.7064922Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7066526Z   copying backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7068524Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7070519Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7072559Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7074644Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7076673Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7078660Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7080639Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7082636Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7084634Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7086618Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7088690Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7090850Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7092744Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7094946Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7096860Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7098917Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7100976Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7102999Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7104972Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7106935Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7108934Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7110943Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7112943Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7114910Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7116830Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7118786Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7120810Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7122799Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7124776Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7126761Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7128696Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7131039Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7133054Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7135093Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7137428Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7139424Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7141664Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7143736Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7145803Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7147835Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7193562Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7195552Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7197477Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7199392Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7201340Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7203370Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7205459Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7207519Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7209746Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7211857Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7213945Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7216039Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7218132Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7220217Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7222610Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7224727Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7226972Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7229105Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7231384Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7233672Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7235981Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7238221Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7240201Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7242258Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7244328Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7246408Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7248402Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7250404Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7252313Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7254258Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7256205Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7258105Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7259969Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:26.7261962Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7264061Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7266482Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7268668Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7271062Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7273275Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7275372Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7277695Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7279900Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7282006Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7284058Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7286179Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7288363Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.7290676Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8210744Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8212950Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8215011Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8217092Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8219165Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8221269Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8223458Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8225673Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8228345Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8230634Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:26.8232945Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:26.8235142Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:26.8237295Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:26.8239359Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:26.8241190Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:26.8242785Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:26.8244314Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:26.8245863Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:26.8247098Z   copying exir/delegate.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:26.8248190Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:26.8249584Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:26.8251090Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:26.8252713Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:26.8254335Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:26.8255786Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:26.8257219Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:26.8258396Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:26.8259236Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:26.8260211Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:26.8261389Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:26.8262680Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:26.8264181Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.8265873Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.8267902Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.8269591Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:26.8270834Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:26.8272055Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:26.8273322Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:26.8274409Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:26.8275851Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:26.8277594Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:26.8278832Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake
2025-03-21T20:21:26.8280055Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:21:26.8281406Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8282595Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8283934Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8285269Z   copying runtime/core/defines.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8286581Z   copying runtime/core/error.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8287881Z   copying runtime/core/evalue.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8289211Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8290750Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8292246Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8293721Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8295188Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8296668Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8298070Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8299404Z   copying runtime/core/result.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8300701Z   copying runtime/core/span.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8301973Z   copying runtime/core/tag.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8303297Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8304930Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:26.8350760Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:26.8352232Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:26.8353712Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:26.8355776Z   copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:26.8357774Z   copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:26.8359367Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8360901Z   copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8362677Z   copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8364517Z   copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8366388Z   copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8368188Z   copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:26.8369787Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8371255Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8372983Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8374720Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8376418Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8378099Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8379763Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8381434Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8383142Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8384833Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8386536Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8388259Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8390315Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8392021Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8393771Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:26.8395497Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:26.8397302Z   copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:26.8399383Z   copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:26.8401130Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8402883Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8404985Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8407063Z   copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8409100Z   copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8411248Z   copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8413344Z   copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8415448Z   copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8417541Z   copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8419627Z   copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:26.8421178Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:26.8422460Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:26.8423977Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:26.8425512Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:26.8427061Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:26.8428426Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:26.8429907Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:26.8431554Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8432817Z   copying runtime/platform/abort.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8434242Z   copying runtime/platform/assert.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8435839Z   copying runtime/platform/clock.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8437340Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8438821Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8440240Z   copying runtime/platform/log.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8441657Z   copying runtime/platform/platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8443112Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8444551Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.8445981Z   copying runtime/platform/system.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.9034285Z   copying runtime/platform/types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:26.9035632Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:26.9037039Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:26.9038489Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:26.9039968Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:26.9041705Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:26.9043304Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:26.9044620Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:26.9045876Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:26.9047354Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:26.9048840Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:26.9050401Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:26.9051741Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:26.9053123Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:26.9054719Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:26.9056335Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:26.9057795Z   running build_ext
2025-03-21T20:21:26.9058449Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:26.9059468Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:26.9061531Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:26.9063707Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:21:26.9065645Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/_portable_lib.cpython-310-aarch64-linux-gnu.so -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:26.9068110Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:26.9070584Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/third-party/flatbuffers/flatc -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:26.9072024Z   installing to pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:26.9072538Z   running install
2025-03-21T20:21:26.9072881Z   running install_lib
2025-03-21T20:21:26.9073297Z   creating pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:26.9073870Z   creating pip-out/bdist.linux-aarch64/wheel/executorch
2025-03-21T20:21:26.9074550Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends
2025-03-21T20:21:26.9075301Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm
2025-03-21T20:21:26.9076567Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9078337Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9080081Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9081905Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9083713Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9085472Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9087243Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9089027Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9090956Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9092771Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9094543Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:26.9095835Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/_passes
2025-03-21T20:21:26.9097426Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9099479Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9101774Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9103841Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9105788Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9107731Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9109718Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9111801Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9113923Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9116022Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9118076Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9120090Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9122138Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9124147Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9126177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9128219Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9130539Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9132611Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9134653Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9136654Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9138944Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9141043Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9143366Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9145499Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9147610Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9149648Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9151736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9153828Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9155830Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9157867Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9159943Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9162042Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9164054Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9166004Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9168035Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9170215Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9172317Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9174485Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:26.9176075Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operator_support
2025-03-21T20:21:26.9177615Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9179977Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9182250Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9184602Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9186871Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9189249Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9191613Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9193833Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9196108Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:26.9197718Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operators
2025-03-21T20:21:26.9199126Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9201120Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9203100Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9205035Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9206972Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9208918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9210968Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9212954Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9214939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9216868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9218813Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9220992Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9223020Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9224975Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9227072Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9229058Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9231214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9233181Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9235133Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9237048Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9238964Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9240891Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9242868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9244868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9246855Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9248811Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9250889Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9252923Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9254932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9256932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9258909Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rshift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9260877Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9263157Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9265137Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9267255Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9269222Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9271172Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9273120Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9275087Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9277099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9279150Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9281222Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9283263Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9285245Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9287232Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:26.9288665Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/quantizer
2025-03-21T20:21:26.9290176Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:26.9292176Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:26.9294256Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:26.9296403Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:26.9298570Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:26.9300050Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test
2025-03-21T20:21:26.9301368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:26.9303206Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:26.9305292Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:26.9307161Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/test_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:26.9308529Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:21:26.9310144Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9312411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9314485Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9316581Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9318675Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9320841Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9330777Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9333087Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9335278Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:26.9336744Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/models
2025-03-21T20:21:26.9338253Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_conformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9340337Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9342368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9344435Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9346545Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9348697Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9350804Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9352927Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9355395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:26.9356852Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/ops
2025-03-21T20:21:26.9358441Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9360411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9362355Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9364316Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9366257Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9368240Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9370522Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9372534Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9374494Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9376437Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9378376Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9380343Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9382361Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9384384Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9386365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9388365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9390421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9392427Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9394345Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9396456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9398396Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9400462Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9402459Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9404392Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9406315Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9408302Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9410445Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9412483Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9414498Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9416470Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9418409Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9420367Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9422323Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9424328Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9426312Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9433915Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9435957Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9437966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9439960Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9441913Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9444168Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9446116Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9448310Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9450579Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9452540Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9454519Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9456477Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9458456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9460437Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9462417Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9464435Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9466486Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9468494Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9470471Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9472446Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9474424Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9476387Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9478320Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9480256Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9482220Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9484415Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9486491Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9488622Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9490696Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:26.9492131Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/passes
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2025-03-21T20:21:26.9495935Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:26.9498078Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:26.9500248Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:26.9502456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:26.9504674Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
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2025-03-21T20:21:26.9518410Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/tester
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2025-03-21T20:21:26.9524037Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
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2025-03-21T20:21:26.9545394Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
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2025-03-21T20:21:26.9552834Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9555690Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:26.9561511Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9564422Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9567325Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9570467Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9573272Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9576332Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9579354Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:26.9611001Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9613901Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:26.9619892Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9622772Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9625613Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9628457Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9631478Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:26.9634367Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:26.9658119Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/schema
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2025-03-21T20:21:26.9661761Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example
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2025-03-21T20:21:26.9683762Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:26.9686033Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
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2025-03-21T20:21:26.9690717Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
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2025-03-21T20:21:26.9695244Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:26.9697467Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:26.9699679Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:26.9701415Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek
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2025-03-21T20:21:26.9704717Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
2025-03-21T20:21:26.9706657Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
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2025-03-21T20:21:26.9711718Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/_passes
2025-03-21T20:21:26.9713380Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek/quantizer
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2025-03-21T20:21:26.9717010Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:26.9719153Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:26.9721296Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:26.9722783Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm
2025-03-21T20:21:26.9724156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm
2025-03-21T20:21:26.9725576Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/_passes
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2025-03-21T20:21:26.9729158Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9731583Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9733686Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9735786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9737918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9740159Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9742647Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9744745Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9746997Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9749226Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9751395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9753585Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9755711Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9757848Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9759998Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9762099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9764228Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9766419Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9768666Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9770970Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9773119Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9775272Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9777427Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9779586Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9781747Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9784021Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9786066Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:26.9787521Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/builders
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2025-03-21T20:21:26.9791277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9806238Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9808436Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9810791Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9812880Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9814971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9817072Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9819200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9821278Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9823335Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9825392Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9827453Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9829719Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9831787Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9833888Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9836043Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9838200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9840694Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9842774Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9845156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9847282Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9849460Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9851581Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9853619Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9855723Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9857800Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9859906Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9862065Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9864325Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9866476Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9868562Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9870697Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9872849Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9874911Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9876980Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9879052Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9881142Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9883484Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9885577Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9887740Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9889931Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9892016Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9894122Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9896175Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9898218Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9900249Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9902278Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9904321Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9906355Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9908403Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9910459Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9912540Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9914630Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9916691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9918786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9920879Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9922954Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9925273Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9927401Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9929888Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9932013Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9934129Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9936318Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9938448Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9940639Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9942767Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9944862Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9946933Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9949030Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9951132Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9953186Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9955235Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9957336Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9959472Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9961663Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9963902Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9966294Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9968407Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9970709Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:26.9972230Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/debugger
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2025-03-21T20:21:26.9975220Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/partition
2025-03-21T20:21:26.9976784Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:21:26.9978968Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:21:26.9981114Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:21:26.9982635Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:26.9984199Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:26.9986409Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:26.9988607Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:26.9990743Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:26.9992369Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/quantizer/observers
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2025-03-21T20:21:26.9996017Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/serialization
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2025-03-21T20:21:26.9999929Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:21:27.0002269Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:21:27.0003878Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/tests
2025-03-21T20:21:27.0005325Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:27.0007368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:27.0009773Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:27.0011208Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/utils
2025-03-21T20:21:27.0012788Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:27.0014823Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:27.0016239Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/aot
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2025-03-21T20:21:27.0018583Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:27.0019999Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms
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2025-03-21T20:21:27.0023297Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0025300Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0027301Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0029592Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0031727Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0033852Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0035883Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_dequant_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0037875Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0039846Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0041800Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0043776Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0045829Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0047822Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0050206Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:27.0051730Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms/test
2025-03-21T20:21:27.0053565Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:27.0055967Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:27.0058208Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:27.0059696Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan
2025-03-21T20:21:27.0060978Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:27.0062778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:27.0064605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:27.0066403Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:27.0068244Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:27.0069653Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0071076Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0073096Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0075238Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0077339Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0079481Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0081619Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0083767Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0085888Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:27.0087405Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/partitioner
2025-03-21T20:21:27.0089024Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/partitioner
2025-03-21T20:21:27.0090913Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/quantizer
2025-03-21T20:21:27.0092456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/quantizer
2025-03-21T20:21:27.0093976Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime
2025-03-21T20:21:27.0095563Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime
2025-03-21T20:21:27.0097106Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph
2025-03-21T20:21:27.0098114Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-03-21T20:21:27.0099184Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0101024Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0103603Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0106173Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0108653Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0111106Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0113577Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0116054Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0118641Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0121295Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0123860Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0126315Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0128868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0131777Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0134900Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0137432Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0140196Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0142866Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0145503Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0148035Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0150534Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0153312Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0156056Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0158590Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0161128Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0163663Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0166101Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0168514Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0171069Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0173561Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0176048Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0178791Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0181347Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0183932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0186490Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0189127Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0191756Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0194248Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0196681Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0199111Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0201617Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0204111Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0206565Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0209006Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:27.0214095Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0216606Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0219154Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0221726Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0224521Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0227532Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0230332Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:27.0238134Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0240658Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:27.0245708Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:27.0250970Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0253418Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0255923Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:27.0258421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:27.0277868Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/test/op_tests
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2025-03-21T20:21:27.0281601Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests
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2025-03-21T20:21:27.0289755Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:27.0292149Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:27.0294547Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:27.0296940Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
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2025-03-21T20:21:27.0300885Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:27.0302408Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/glsl
2025-03-21T20:21:27.0303940Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party
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2025-03-21T20:21:27.0306547Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:27.0308417Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers
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2025-03-21T20:21:27.0311694Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0314637Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0317445Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0320223Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0322946Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0325618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0328359Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:27.0330915Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:27.0333134Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:27.0335248Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator
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2025-03-21T20:21:27.0337997Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:27.0340459Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:27.0342595Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/tools
2025-03-21T20:21:27.0343524Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/tools/gpuinfo
2025-03-21T20:21:27.0344534Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0346280Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0348708Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0351108Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0353772Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0356383Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0358846Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:27.0360432Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack
2025-03-21T20:21:27.0361739Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack
2025-03-21T20:21:27.0363619Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack
2025-03-21T20:21:27.0365055Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/_passes
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2025-03-21T20:21:27.0368615Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0370964Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0373099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0375174Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0377328Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0379474Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0381566Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0383711Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0385835Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0387932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0390027Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0392110Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:27.0393817Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0395322Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0397554Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0399695Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0401747Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0403818Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0405943Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0408049Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0410213Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0412293Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0414395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0416478Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0418556Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0420727Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0422992Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0425143Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0427205Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0429539Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0431669Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0433778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0436169Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0438354Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0440676Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0442829Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0444952Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0447060Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0449162Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0451411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0453524Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0455621Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0457709Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0459825Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0461948Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0464016Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0466090Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0468178Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0470277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0472396Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0474513Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0476616Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0478932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0481065Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0483378Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0485687Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0487864Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0490029Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0492167Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:27.0492562Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition
2025-03-21T20:21:27.0493547Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:21:27.0494609Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:21:27.0495066Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0496122Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0497235Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0498392Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0499502Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0500665Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0501787Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:27.0502233Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:27.0503337Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:27.0504389Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:27.0505023Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:27.0506069Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:21:27.0507141Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:21:27.0507680Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:21:27.0508902Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:27.0510029Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:27.0511128Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:27.0512163Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:27.0512539Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:21:27.0513495Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:21:27.0514496Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:21:27.0514916Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0515927Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0516911Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0517951Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0518988Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0520011Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0521075Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0522107Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0523141Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0524164Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0525319Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0526376Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0527499Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0528514Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:27.0528908Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0530190Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0531166Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0532156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0533164Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0534111Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0535071Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0536031Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0537069Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0538044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0539015Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0539991Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0540944Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0541903Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0542869Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0543872Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0544859Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0546190Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0547201Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0548320Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0549307Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0550293Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0551305Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0552325Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0553375Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0554364Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0599280Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0600344Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0601533Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0602539Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0603605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0604573Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0605546Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0606509Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0607490Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0608489Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0609706Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0610994Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0611972Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0613156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0614120Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:27.0614533Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0615629Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0616713Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0617863Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0618947Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0620030Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0621131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0622231Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:27.0622653Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:27.0623784Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:27.0624900Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:27.0626038Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:27.0626490Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:27.0627669Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:27.0628815Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/serialization
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2025-03-21T20:21:27.0710975Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools
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2025-03-21T20:21:27.0808706Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0811405Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0813972Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0815196Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0854276Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0855535Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0859231Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0860485Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0861696Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0863004Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0864184Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0865362Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0866526Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0870820Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0872072Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:27.0873357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:27.0976284Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0977361Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0978360Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0979373Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0980413Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0981563Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0982554Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0983707Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0984728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0985743Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0986753Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0987759Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:27.0988166Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/partition
2025-03-21T20:21:27.0989153Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:21:27.0990194Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:21:27.0990634Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:21:27.0991734Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:27.0992853Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:27.0993911Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:27.0994288Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:21:27.0995204Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.0996197Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.0997185Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.1070156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.1071185Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.1072172Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.1073528Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:27.1073916Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:21:27.1075056Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:21:27.1076060Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:21:27.1076423Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml
2025-03-21T20:21:27.1076839Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/compiler
2025-03-21T20:21:27.1077867Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:21:27.1078969Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:21:27.1079396Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/partition
2025-03-21T20:21:27.1080424Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:21:27.1081548Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:21:27.1081969Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:27.1083002Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:27.1084099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:27.1084503Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/test
2025-03-21T20:21:27.1085570Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:21:27.1086623Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:21:27.1087039Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime
2025-03-21T20:21:27.1087530Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:27.1088683Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:27.1089138Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:27.1090618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:27.1091616Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml
2025-03-21T20:21:27.1092114Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence
2025-03-21T20:21:27.1092468Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot
2025-03-21T20:21:27.1093343Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1094326Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1095296Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1096232Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1097123Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1098038Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1099002Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1099936Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1100882Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1101782Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1102664Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1103618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1104530Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1105439Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1106345Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1107267Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1108131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1108558Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:27.1109610Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:27.1110652Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:27.1111839Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:27.1112857Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:27.1113245Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1114394Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1115450Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1171236Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1172306Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1173381Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1174433Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1175483Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1176546Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:27.1177470Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1178446Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1179392Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:27.1179761Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/runtime
2025-03-21T20:21:27.1180683Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:27.1181632Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:27.1182570Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:27.1183497Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:27.1183867Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils
2025-03-21T20:21:27.1184786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:27.1186107Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:27.1187072Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:27.1187489Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:27.1188658Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:27.1189170Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:27.1190304Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:27.1191457Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:27.1191929Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/examples
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2025-03-21T20:21:27.1214049Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:27.1215394Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
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2025-03-21T20:21:27.1271785Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:27.1273887Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:27.1300631Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
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2025-03-21T20:21:27.1329627Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
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2025-03-21T20:21:27.1335148Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
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2025-03-21T20:21:27.1380381Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:27.1382752Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:27.1384824Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:27.1386238Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples
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2025-03-21T20:21:27.1649573Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder
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2025-03-21T20:21:27.1653894Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:27.1655757Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:27.1657691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:27.1660369Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:27.1662479Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava
2025-03-21T20:21:27.1663873Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:27.1666094Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/export_llava.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:27.1668116Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/image_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:27.1670061Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:27.1671487Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava/test
2025-03-21T20:21:27.1673011Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test/test_llava.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava/test
2025-03-21T20:21:27.1675106Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test/test_pte.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava/test
2025-03-21T20:21:27.1676578Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/lstm
2025-03-21T20:21:27.1677953Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/lstm
2025-03-21T20:21:27.1679839Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/lstm
2025-03-21T20:21:27.1681246Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilebert
2025-03-21T20:21:27.1682736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilebert
2025-03-21T20:21:27.1684793Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilebert
2025-03-21T20:21:27.1686309Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:27.1687843Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v2
2025-03-21T20:21:27.1690025Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v2
2025-03-21T20:21:27.1691574Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v3
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2025-03-21T20:21:27.1705964Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v3
2025-03-21T20:21:27.1707591Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:27.1709205Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:27.1710775Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini
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2025-03-21T20:21:27.1714514Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/eager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:27.1716671Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:27.1718779Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:27.1720900Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:27.1722448Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-4-mini
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2025-03-21T20:21:27.1725993Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini/convert_weights.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-4-mini
2025-03-21T20:21:27.1727515Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/qwen2_5
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2025-03-21T20:21:27.1731268Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/qwen2_5
2025-03-21T20:21:27.1732753Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/resnet
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2025-03-21T20:21:27.1736108Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/resnet
2025-03-21T20:21:27.1737516Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/test
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2025-03-21T20:21:27.1740806Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test/test_export.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/test
2025-03-21T20:21:27.1742284Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/torchvision_vit
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2025-03-21T20:21:27.1746036Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/torchvision_vit
2025-03-21T20:21:27.1747581Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/toy_model
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2025-03-21T20:21:27.1751024Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/toy_model
2025-03-21T20:21:27.1752777Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/wav2letter
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2025-03-21T20:21:27.1756321Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/wav2letter
2025-03-21T20:21:27.1757993Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/moshi
2025-03-21T20:21:27.1758929Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/moshi/mimi
2025-03-21T20:21:27.1760452Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/moshi/mimi
2025-03-21T20:21:27.1761842Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir
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2025-03-21T20:21:27.1764384Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1765859Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1767364Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1768881Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1770536Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1772093Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1773596Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1775047Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1776538Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1778132Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1779691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1781218Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1782762Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1784269Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1785809Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1787348Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1788843Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1790314Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1792005Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1793467Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1794918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1796490Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1798010Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.1799138Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize
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2025-03-21T20:21:27.1820699Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1822419Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1824194Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1825984Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1827754Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1829665Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1831453Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1833233Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1834531Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize/test
2025-03-21T20:21:27.1835866Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:27.1837709Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:27.1839628Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:27.1841608Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:27.1843572Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:27.1845419Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1847179Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:27.1848428Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend
2025-03-21T20:21:27.1850140Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1851905Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1853918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1855774Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1857565Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1859274Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:27.1860639Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:27.1862399Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:27.1864893Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:27.1867416Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:27.1869904Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:27.1871552Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test
2025-03-21T20:21:27.1872989Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1875090Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1877177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1879186Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1881156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1883093Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1885102Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1887099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1889036Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1891271Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1893258Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1895336Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1897374Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1899371Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1901397Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1903400Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1905303Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1907162Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:27.1908541Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:21:27.1910066Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:21:27.1912214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:21:27.1913772Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:27.1951037Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:27.1953552Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:27.1955883Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:27.1957341Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/capture
2025-03-21T20:21:27.1958555Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:27.1960221Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:27.1961890Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:27.1963548Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:27.1964769Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects
2025-03-21T20:21:27.1965999Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:27.1968081Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:27.1969786Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend
2025-03-21T20:21:27.1971183Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/backend
2025-03-21T20:21:27.1972841Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:21:27.1974443Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/backend/test
2025-03-21T20:21:27.1975951Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge
2025-03-21T20:21:27.1977270Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:27.1978622Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:21:27.1980035Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:21:27.1981966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:21:27.1983388Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:27.1984843Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:27.1986895Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:27.1988941Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:27.1990371Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:21:27.1991752Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:21:27.1993699Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:21:27.1995161Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:27.1996660Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op/test
2025-03-21T20:21:27.1998160Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:21:27.1999577Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:21:27.2001529Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:21:27.2002960Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:21:27.2004434Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:21:27.2006483Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:21:27.2008635Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:27.2010090Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/test
2025-03-21T20:21:27.2011507Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/test
2025-03-21T20:21:27.2013029Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit
2025-03-21T20:21:27.2014232Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:27.2015849Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:27.2017486Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:27.2018685Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit/test
2025-03-21T20:21:27.2019967Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit/test
2025-03-21T20:21:27.2021234Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator
2025-03-21T20:21:27.2022504Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:27.2024228Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:27.2025918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:27.2027190Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator/test
2025-03-21T20:21:27.2028582Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator/test
2025-03-21T20:21:27.2030157Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/passes
2025-03-21T20:21:27.2031366Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2033156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2035003Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2036781Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2038633Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2040492Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2042339Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2044231Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2046136Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2064868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2066799Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2069087Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2071071Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2073017Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2074944Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2076780Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2078580Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2080403Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2082177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2084005Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2085913Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2087753Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2089690Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2091682Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2093671Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2095568Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2097470Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2099365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2101142Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2102931Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2104708Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2106761Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:27.2108130Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program
2025-03-21T20:21:27.2109458Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:27.2111202Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:27.2112915Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:27.2114161Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program/test
2025-03-21T20:21:27.2115488Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:27.2117357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:27.2119277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:27.2120595Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/serde
2025-03-21T20:21:27.2121767Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2123443Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2125258Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2126931Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2128614Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2130555Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2132190Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:27.2133379Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/tests
2025-03-21T20:21:27.2134571Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2136212Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2137910Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2139695Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2141393Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2143079Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2145156Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2146838Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2148523Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2150421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2152296Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2154073Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2155768Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2157550Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2159426Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2324357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2326285Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2328080Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2329971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2331669Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2333392Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2335213Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2337038Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2338820Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2340584Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2342371Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2344084Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2345748Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2347415Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2349528Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2351255Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2353152Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:27.2354458Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification
2025-03-21T20:21:27.2355840Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:27.2360778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:27.2362811Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:27.2364767Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:27.2366145Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification/test
2025-03-21T20:21:27.2367615Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification/test
2025-03-21T20:21:27.2369457Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:27.2370596Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension
2025-03-21T20:21:27.2371410Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/android_test
2025-03-21T20:21:27.2372820Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test/add_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/android_test
2025-03-21T20:21:27.2374225Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/export_util
2025-03-21T20:21:27.2375617Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:27.2377496Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:27.2378873Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor
2025-03-21T20:21:27.2380248Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor
2025-03-21T20:21:27.2381684Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2383241Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2385444Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2387678Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2389874Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2392371Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:27.2393923Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/test
2025-03-21T20:21:27.2395442Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/test
2025-03-21T20:21:27.2397045Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util
2025-03-21T20:21:27.2398460Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:27.2400361Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:27.2402242Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:27.2403663Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util/converters
2025-03-21T20:21:27.2405282Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util/converters
2025-03-21T20:21:27.2406883Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings
2025-03-21T20:21:27.2408311Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:27.2409871Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings/test
2025-03-21T20:21:27.2411381Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:27.2413545Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:27.2415743Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:27.2417821Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:27.2420002Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/_portable_lib.cpython-310-aarch64-linux-gnu.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:27.2421591Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree
2025-03-21T20:21:27.2422944Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree
2025-03-21T20:21:27.2424284Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree/test
2025-03-21T20:21:27.2425673Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree/test
2025-03-21T20:21:27.2427049Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training
2025-03-21T20:21:27.2428389Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training
2025-03-21T20:21:27.2430003Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings
2025-03-21T20:21:27.2431640Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/_training_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings
2025-03-21T20:21:27.2433611Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings/test
2025-03-21T20:21:27.2435272Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test/test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings/test
2025-03-21T20:21:27.2437695Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings
2025-03-21T20:21:27.2439321Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples
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2025-03-21T20:21:27.2444203Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR
2025-03-21T20:21:27.2445835Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples/XOR/test
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2025-03-21T20:21:27.2449176Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm
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2025-03-21T20:21:27.2453571Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2455612Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2457674Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2459786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2461953Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2464121Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2466218Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2467791Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant
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2025-03-21T20:21:27.2471372Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party
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2025-03-21T20:21:27.2474847Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:27.2475871Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:27.2476234Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/export
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2025-03-21T20:21:27.2478928Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/export_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:27.2479876Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/partitioner_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:27.2480805Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/quantizer_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:27.2481750Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/test_export_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:27.2482120Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules
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2025-03-21T20:21:27.2483973Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:27.2484886Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:27.2485783Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:27.2486179Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules/test
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2025-03-21T20:21:27.2488132Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:27.2489134Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:27.2490279Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:27.2490658Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizer
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2025-03-21T20:21:27.2492633Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/hf_tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
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2025-03-21T20:21:27.2529672Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers
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2025-03-21T20:21:27.2533545Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:27.2534736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:27.2535937Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:27.2536495Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools
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2025-03-21T20:21:27.2539844Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
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2025-03-21T20:21:27.2542292Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels
2025-03-21T20:21:27.2542625Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels/quantized
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2025-03-21T20:21:27.2546415Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized/test
2025-03-21T20:21:27.2547480Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized/test
2025-03-21T20:21:27.2548379Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:27.2549465Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/libquantized_ops_aot_lib.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:27.2549764Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools
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2025-03-21T20:21:27.2550838Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/backend_debug
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2025-03-21T20:21:27.2554489Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program
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2025-03-21T20:21:27.2558575Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:27.2559682Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
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2025-03-21T20:21:27.2561165Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/serialize
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2025-03-21T20:21:27.2566497Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/serialize
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2025-03-21T20:21:27.2568959Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/test
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2025-03-21T20:21:27.2570488Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/util
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2025-03-21T20:21:27.2572541Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:27.2660825Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:27.2661821Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:27.2662186Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/debug_format
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2025-03-21T20:21:27.2664024Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/debug_format
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2025-03-21T20:21:27.2666080Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
2025-03-21T20:21:27.2666448Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etdump/tests
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2025-03-21T20:21:27.2668321Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
2025-03-21T20:21:27.2669169Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
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2025-03-21T20:21:27.2671618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etrecord
2025-03-21T20:21:27.2672184Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etrecord/tests
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2025-03-21T20:21:27.2673537Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/inspector
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2025-03-21T20:21:27.2675262Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:27.2676167Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:27.2677071Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:27.2677449Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/inspector/tests
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2025-03-21T20:21:27.2680475Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector/tests
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2025-03-21T20:21:27.2683296Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/visualization
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2025-03-21T20:21:27.2690863Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/util
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2025-03-21T20:21:27.2693360Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/schema
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2025-03-21T20:21:27.2694790Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/schema
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2025-03-21T20:21:27.2765707Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/core/exec_aten
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2025-03-21T20:21:27.2778151Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/core/portable_type
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2025-03-21T20:21:27.2852751Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2854139Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2855514Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2856973Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2858365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2859833Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2861222Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:27.2861660Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:27.2862786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:27.2863936Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:27.2865071Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:27.2866693Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:27.2867179Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:27.2868517Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:27.2869013Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2870113Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2871217Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2872294Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2873432Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2874538Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2875605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2876712Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2877824Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2878926Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2880021Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2881112Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:27.2881606Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:27.2882795Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:27.2883213Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension
2025-03-21T20:21:27.2883705Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:27.2884976Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:27.2886325Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:27.2887468Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:27.2888062Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:21:27.2889185Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:27.2890436Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:27.2891574Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:27.2892724Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:27.2893214Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:27.2894404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:27.2895578Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:27.3531123Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:27.3531494Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data
2025-03-21T20:21:27.3531791Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data/bin
2025-03-21T20:21:27.3532541Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:27.3533245Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:27.3533402Z   running install_egg_info
2025-03-21T20:21:27.3533960Z   Copying executorch.egg-info to pip-out/bdist.linux-aarch64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:21:27.3534132Z   running install_scripts
2025-03-21T20:21:27.3534564Z   creating pip-out/bdist.linux-aarch64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:21:27.3535418Z   creating '/tmp/pip-wheel-5o5a6vpw/.tmp-yzilqc3s/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl' and adding 'pip-out/bdist.linux-aarch64/wheel' to it
2025-03-21T20:21:27.3535591Z   adding 'executorch/version.py'
2025-03-21T20:21:27.3535888Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:21:27.3536179Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:21:27.3536541Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:21:27.3536841Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:21:27.3537210Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:21:27.3537502Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:21:27.3537861Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:21:27.3538603Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:21:27.3539002Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:21:27.3539371Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:21:27.3539713Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:21:27.3539934Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:21:27.3540386Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:21:27.3540701Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:21:27.3541020Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:21:27.3541307Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:21:27.3541590Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:21:27.3541898Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:21:27.3542228Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:21:27.3542530Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:21:27.3542870Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:21:27.3543174Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:21:27.3543512Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:21:27.3543794Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:21:27.3544079Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:21:27.3544408Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:21:27.3544700Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:21:27.3544976Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:21:27.3545279Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:21:27.3545558Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:21:27.3545852Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:21:27.3546138Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:21:27.3546427Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:21:27.3546706Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:21:27.3547036Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:21:27.3547391Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:21:27.3547762Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:21:27.3548069Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:21:27.3548323Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:21:27.3548643Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:21:27.3548966Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:21:27.3549261Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:21:27.3549543Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:21:27.3549846Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:21:27.3550134Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:21:27.3550388Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:21:27.3550678Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:21:27.3550882Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:21:27.3551085Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:21:27.3551301Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:21:27.3551685Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:21:27.3551906Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:21:27.3552118Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:21:27.3552338Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:21:27.3552567Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:21:27.3552796Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:21:27.3553182Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:21:27.3553401Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:21:27.3553667Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:21:27.3554058Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:21:27.3554397Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:21:27.3554672Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:21:27.3554937Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:21:27.3555197Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:21:27.3555497Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:27.3555870Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:21:27.3556219Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:21:27.3556577Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:21:27.3556864Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:21:27.3557176Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:21:27.3557493Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:21:27.3557760Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:21:27.3558096Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:21:27.3558377Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:21:27.3558701Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:21:27.3558999Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:21:27.3559311Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:21:27.3559585Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:21:27.3559894Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:21:27.3560258Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:21:27.3560539Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:21:27.3560934Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:21:27.3561249Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:21:27.3561565Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:21:27.3561917Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:21:27.3562212Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:21:27.3562484Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:21:27.3562845Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:21:27.3563144Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:21:27.3563478Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:21:27.3563742Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:21:27.3564017Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:21:27.3564338Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:21:27.3564855Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:21:27.3565201Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:21:27.3565586Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:21:27.3565863Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:21:27.3566224Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:21:27.3566638Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:21:27.3566994Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:21:27.3567353Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:21:27.3567702Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:21:27.3568050Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:21:27.3568380Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:21:27.3568768Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:21:27.3569013Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:21:27.3983177Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:21:27.3983478Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:21:27.3983761Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:21:27.3984003Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:21:27.3984238Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:21:27.3984467Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:21:27.3984732Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:21:27.3984959Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:21:27.3985197Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:21:27.3985445Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:21:27.3985746Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:21:27.3985990Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:21:27.3986215Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:21:27.3986437Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:21:27.3986692Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:21:27.3986909Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:21:27.3987162Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:21:27.3987384Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:21:27.3987597Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:21:27.3987829Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:21:27.3988050Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:21:27.3988318Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:21:27.3988567Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:21:27.3988818Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:21:27.3989050Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:21:27.3989299Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:21:27.3989582Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:21:27.3989825Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:21:27.3990079Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:21:27.3990320Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:21:27.3990553Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:21:27.3990806Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:21:27.3991492Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:21:27.3991728Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:21:27.3991976Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:21:27.3992222Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-03-21T20:21:27.3992454Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-03-21T20:21:27.3992704Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-03-21T20:21:27.3993224Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-03-21T20:21:27.3993558Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-03-21T20:21:27.3993880Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-03-21T20:21:27.3994114Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-03-21T20:21:27.3994371Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:21:27.3994625Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:21:27.3994869Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-03-21T20:21:27.3995133Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-03-21T20:21:27.3995446Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:21:27.3995774Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:21:27.3996081Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:21:27.3996306Z   adding 'executorch/backends/arm/test/common.py'
2025-03-21T20:21:27.3996521Z   adding 'executorch/backends/arm/test/conftest.py'
2025-03-21T20:21:27.3996759Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-03-21T20:21:27.3996980Z   adding 'executorch/backends/arm/test/test_model.py'
2025-03-21T20:21:27.3997303Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-03-21T20:21:27.3997583Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-03-21T20:21:27.3997952Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-03-21T20:21:27.3998255Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-03-21T20:21:27.3998564Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-03-21T20:21:27.3998901Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-03-21T20:21:27.3999212Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:21:27.3999656Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-03-21T20:21:27.3999926Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-03-21T20:21:27.4000208Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-03-21T20:21:27.4000480Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-03-21T20:21:27.4000743Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-03-21T20:21:27.4001048Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-03-21T20:21:27.4001371Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-03-21T20:21:27.4001688Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-03-21T20:21:27.4001977Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-03-21T20:21:27.4002298Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-03-21T20:21:27.4002576Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-03-21T20:21:27.4002812Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-03-21T20:21:27.4003049Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-03-21T20:21:27.4003284Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:21:27.4003529Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:21:27.4003760Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:21:27.4004216Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-03-21T20:21:27.4004497Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-03-21T20:21:27.4004746Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:21:27.4004981Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:21:27.4005209Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-03-21T20:21:27.4005451Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-03-21T20:21:27.4005814Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-03-21T20:21:27.4006145Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-03-21T20:21:27.4006400Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:21:27.4006646Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:21:27.4006926Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:21:27.4007222Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-03-21T20:21:27.4007460Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-03-21T20:21:27.4007693Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:21:27.4007921Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:21:27.4008176Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:21:27.4008419Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:21:27.4008661Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:21:27.4008892Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:21:27.4009117Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:21:27.4009684Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:21:27.4009973Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:21:27.4010243Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:21:27.4010524Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:21:27.4010758Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:21:27.4011008Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:21:27.4011238Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:21:27.4011494Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:21:27.4011764Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:21:27.4011996Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:21:27.4012258Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:21:27.4012517Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:21:27.4012773Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:21:27.4013025Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:21:27.4013261Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:21:27.4013498Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:21:27.4013758Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:21:27.4014032Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:21:27.4014277Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:21:27.4014525Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:21:27.4014774Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:21:27.4015030Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:21:27.4015283Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:21:27.4015538Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:21:27.4015789Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:21:27.4016074Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:21:27.4016365Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:21:27.4016846Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-03-21T20:21:27.4017106Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-03-21T20:21:27.4017350Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-03-21T20:21:27.4017609Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-03-21T20:21:27.4017839Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
2025-03-21T20:21:27.4018068Z   adding 'executorch/backends/arm/test/ops/test_sum.py'
2025-03-21T20:21:27.4018411Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
2025-03-21T20:21:27.4018697Z   adding 'executorch/backends/arm/test/ops/test_to_copy.py'
2025-03-21T20:21:27.4018972Z   adding 'executorch/backends/arm/test/ops/test_unsqueeze.py'
2025-03-21T20:21:27.4019300Z   adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py'
2025-03-21T20:21:27.4019538Z   adding 'executorch/backends/arm/test/ops/test_var.py'
2025-03-21T20:21:27.4019782Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-03-21T20:21:27.4020111Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
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2025-03-21T20:21:27.4443227Z   adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py'
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2025-03-21T20:21:27.4447634Z   adding 'executorch/backends/arm/test/tester/test_pipeline.py'
2025-03-21T20:21:27.4447897Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
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2025-03-21T20:21:27.4448717Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2025-03-21T20:21:27.4449245Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
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2025-03-21T20:21:27.4450372Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-03-21T20:21:27.4450849Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-03-21T20:21:27.4451323Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-03-21T20:21:27.4451813Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-03-21T20:21:27.4452274Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-03-21T20:21:27.4452753Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-03-21T20:21:27.4453161Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-03-21T20:21:27.4453619Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-03-21T20:21:27.4454620Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-03-21T20:21:27.4455101Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-03-21T20:21:27.4455569Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-03-21T20:21:27.4456257Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-03-21T20:21:27.4456677Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-03-21T20:21:27.4457133Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-03-21T20:21:27.4457604Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-03-21T20:21:27.4458069Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-03-21T20:21:27.4458567Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:21:27.4459050Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:21:27.4459525Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-03-21T20:21:27.4459974Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-03-21T20:21:27.4460448Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-03-21T20:21:27.4460925Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-03-21T20:21:27.4461385Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-03-21T20:21:27.4461858Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-03-21T20:21:27.4462297Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-03-21T20:21:27.4462757Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-03-21T20:21:27.4463198Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-03-21T20:21:27.4463639Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-03-21T20:21:27.4464155Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-03-21T20:21:27.4464684Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-03-21T20:21:27.4465110Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-03-21T20:21:27.4465616Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-03-21T20:21:27.4466061Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-03-21T20:21:27.4466443Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2025-03-21T20:21:27.4466929Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2025-03-21T20:21:27.4467383Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2025-03-21T20:21:27.4467658Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-03-21T20:21:27.4467894Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-03-21T20:21:27.4468125Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-03-21T20:21:27.4468392Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-03-21T20:21:27.4468653Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-03-21T20:21:27.4468911Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-03-21T20:21:27.4469217Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:21:27.4469621Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-03-21T20:21:27.4469860Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-03-21T20:21:27.4470117Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-03-21T20:21:27.4470409Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-03-21T20:21:27.4470676Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-03-21T20:21:27.4471043Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-03-21T20:21:27.4471329Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
2025-03-21T20:21:27.4471550Z   adding 'executorch/backends/cadence/aot/passes.py'
2025-03-21T20:21:27.4471856Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-03-21T20:21:27.4472102Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-03-21T20:21:27.4472358Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-03-21T20:21:27.4472612Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-03-21T20:21:27.4472869Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-03-21T20:21:27.4473091Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-03-21T20:21:27.4473396Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-03-21T20:21:27.4473694Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-03-21T20:21:27.4473988Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-03-21T20:21:27.4474265Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
2025-03-21T20:21:27.4474616Z   adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py'
2025-03-21T20:21:27.4474939Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
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2025-03-21T20:21:27.4475581Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
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2025-03-21T20:21:27.4477270Z   adding 'executorch/backends/cadence/runtime/__init__.py'
2025-03-21T20:21:27.4477535Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-03-21T20:21:27.4477783Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-03-21T20:21:27.4478022Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-03-21T20:21:27.4478272Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-03-21T20:21:27.4478528Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-03-21T20:21:27.4478820Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2025-03-21T20:21:27.4479080Z   adding 'executorch/backends/cadence/utils/FACTO/setup.py'
2025-03-21T20:21:27.4479434Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py'
2025-03-21T20:21:27.4479763Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-03-21T20:21:27.4480147Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-03-21T20:21:27.4480525Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-03-21T20:21:27.4480891Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
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2025-03-21T20:21:27.4481570Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-03-21T20:21:27.4481998Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-03-21T20:21:27.4482417Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
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2025-03-21T20:21:27.4813964Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-03-21T20:21:27.4814819Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-03-21T20:21:27.4815285Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-03-21T20:21:27.4815721Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-03-21T20:21:27.4816138Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-03-21T20:21:27.4816568Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-03-21T20:21:27.4816993Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-03-21T20:21:27.4817385Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-03-21T20:21:27.4817793Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-03-21T20:21:27.4818240Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-03-21T20:21:27.4818682Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-03-21T20:21:27.4819119Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-03-21T20:21:27.4819521Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-03-21T20:21:27.4819933Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-03-21T20:21:27.4820352Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-03-21T20:21:27.4820764Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-03-21T20:21:27.4821181Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-03-21T20:21:27.4821507Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-03-21T20:21:27.4821857Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-03-21T20:21:27.4822217Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-03-21T20:21:27.4822577Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-03-21T20:21:27.4823019Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
2025-03-21T20:21:27.4823484Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py'
2025-03-21T20:21:27.4823959Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py'
2025-03-21T20:21:27.4824431Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py'
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2025-03-21T20:21:27.4829990Z   adding 'executorch/backends/example/example_backend.py'
2025-03-21T20:21:27.4830453Z   adding 'executorch/backends/example/example_partitioner.py'
2025-03-21T20:21:27.4830741Z   adding 'executorch/backends/example/example_quantizer.py'
2025-03-21T20:21:27.4831030Z   adding 'executorch/backends/example/test_example_delegate.py'
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2025-03-21T20:21:27.4832397Z   adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py'
2025-03-21T20:21:27.4832676Z   adding 'executorch/backends/example/example_operators/add.py'
2025-03-21T20:21:27.4833012Z   adding 'executorch/backends/example/example_operators/conv2d.py'
2025-03-21T20:21:27.4833330Z   adding 'executorch/backends/example/example_operators/conv_relu.py'
2025-03-21T20:21:27.4833644Z   adding 'executorch/backends/example/example_operators/dropout.py'
2025-03-21T20:21:27.4833959Z   adding 'executorch/backends/example/example_operators/flatten.py'
2025-03-21T20:21:27.4834260Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-03-21T20:21:27.4834571Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-03-21T20:21:27.4834854Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-03-21T20:21:27.4835156Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:21:27.4835366Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:21:27.4835618Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-03-21T20:21:27.4835845Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-03-21T20:21:27.4836101Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:21:27.4836546Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-03-21T20:21:27.4836812Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-03-21T20:21:27.4837110Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:21:27.4837378Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:21:27.4837662Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:21:27.4837912Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:21:27.4838164Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:21:27.4838502Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:21:27.4838835Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:21:27.4839134Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:21:27.4839456Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:21:27.4839896Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:21:27.4840371Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:21:27.4840726Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
2025-03-21T20:21:27.4841088Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-03-21T20:21:27.4841438Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-03-21T20:21:27.4842098Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-03-21T20:21:27.4842483Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-03-21T20:21:27.4843118Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-03-21T20:21:27.4843435Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
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2025-03-21T20:21:27.4861156Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
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2025-03-21T20:21:27.4862050Z   adding 'executorch/backends/qualcomm/_passes/utils.py'
2025-03-21T20:21:27.4862321Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
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2025-03-21T20:21:27.4862870Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-03-21T20:21:27.4863123Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-03-21T20:21:27.4863478Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
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2025-03-21T20:21:27.4864013Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-03-21T20:21:27.4864273Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-03-21T20:21:27.4864567Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-03-21T20:21:27.4864854Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-03-21T20:21:27.4865102Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-03-21T20:21:27.4865362Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:21:27.4865614Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-03-21T20:21:27.4865875Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-03-21T20:21:27.4866135Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-03-21T20:21:27.4866392Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-03-21T20:21:27.4866715Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-03-21T20:21:27.4867012Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-03-21T20:21:27.4867263Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:21:27.5280858Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:21:27.5281205Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:21:27.5281480Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:21:27.5281790Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:21:27.5282080Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:21:27.5282326Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:21:27.5282585Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:21:27.5282876Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:21:27.5283130Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:21:27.5283862Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:21:27.5284153Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:21:27.5284442Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:21:27.5284708Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:21:27.5284999Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:21:27.5285524Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:21:27.5285836Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:21:27.5286085Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:21:27.5286351Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:21:27.5286608Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:21:27.5286907Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:21:27.5287219Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:21:27.5287467Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:21:27.5287741Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:21:27.5287991Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:21:27.5288284Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:21:27.5288569Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:21:27.5288819Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:21:27.5289079Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:21:27.5289421Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:21:27.5289696Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:21:27.5289947Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:21:27.5290206Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:21:27.5290464Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:21:27.5290728Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:21:27.5291014Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:21:27.5291271Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:21:27.5291550Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:21:27.5291830Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:21:27.5292106Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:21:27.5292371Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:21:27.5292671Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:21:27.5292955Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:21:27.5293213Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:21:27.5293498Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:21:27.5293795Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:21:27.5294068Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:21:27.5294394Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:21:27.5294724Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:21:27.5294994Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:21:27.5295271Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:21:27.5295527Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:21:27.5295831Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:21:27.5296086Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:21:27.5296586Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:21:27.5296850Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:21:27.5297146Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:21:27.5297430Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:21:27.5297793Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:21:27.5298138Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:21:27.5298493Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:21:27.5298817Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:21:27.5299064Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:21:27.5299319Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:21:27.5299603Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:21:27.5299938Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:21:27.5300193Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:21:27.5300478Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:21:27.5300813Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:21:27.5301080Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:21:27.5301360Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:21:27.5301820Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:21:27.5302182Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:21:27.5302492Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:21:27.5302857Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:21:27.5303099Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:21:27.5303405Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:21:27.5303640Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:21:27.5303894Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:21:27.5304128Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:21:27.5304346Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:21:27.5304624Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:21:27.5304914Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:21:27.5305171Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:21:27.5305534Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:27.5305853Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:27.5306151Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:21:27.5306443Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:21:27.5306699Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:21:27.5306974Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:21:27.5307237Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:21:27.5307506Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:21:27.5307835Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:21:27.5308060Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:21:27.5308418Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:21:27.5308862Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:21:27.5309278Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:27.5309753Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:21:27.5309969Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:21:27.5310245Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:21:27.5310472Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:21:27.5310666Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:21:27.5310922Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:21:27.5311176Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:21:27.5311595Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:21:27.5311974Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:21:27.5312257Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:21:27.5312633Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:21:27.5312952Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:21:27.5313313Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:21:27.5313626Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:21:27.5313962Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:21:27.5314276Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:21:27.5314549Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:21:27.5314979Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:21:27.5315416Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:21:27.5315820Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:21:27.5316157Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:21:27.5316521Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:21:27.5316894Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:21:27.5317250Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:21:27.5317775Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:21:27.5318182Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:21:27.5318578Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:21:27.5318914Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:21:27.5674616Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:21:27.5675082Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:21:27.5675553Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:21:27.5676037Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:21:27.5676512Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:21:27.5676980Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:21:27.5677419Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:21:27.5677794Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:21:27.5678198Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:21:27.5678714Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:21:27.5679134Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:21:27.5679510Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:21:27.5680351Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:21:27.5680712Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:21:27.5681042Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:21:27.5681364Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:21:27.5681738Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:21:27.5682354Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:21:27.5682765Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:21:27.5683195Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:21:27.5683597Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:21:27.5683968Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:21:27.5684376Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:21:27.5684900Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:21:27.5685286Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:21:27.5685668Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:21:27.5686002Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:21:27.5686388Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:21:27.5686802Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:21:27.5687149Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:21:27.5687525Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:21:27.5687898Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:21:27.5688335Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:21:27.5688670Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:21:27.5689065Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:21:27.5689590Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:21:27.5690006Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:21:27.5690511Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:21:27.5690905Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:21:27.5691324Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:21:27.5691738Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:21:27.5692149Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:21:27.5692552Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:21:27.5692952Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:21:27.5693350Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:21:27.5693754Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:21:27.5694174Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:21:27.5694519Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:21:27.5694874Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:21:27.5695459Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:21:27.5695790Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:21:27.5696069Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:21:27.5696435Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:21:27.5696795Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:21:27.5697266Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:21:27.5697583Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:21:27.5697885Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:21:27.5698238Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:21:27.5698519Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:21:27.5698785Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:21:27.5699159Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:21:27.5699567Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:21:27.5699901Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:21:27.5700262Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:21:27.5700640Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:21:27.5701027Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:21:27.5701409Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
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2025-03-21T20:21:27.5702633Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:21:27.5703065Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:21:27.5703490Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
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2025-03-21T20:21:27.5705190Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:21:27.5705789Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:21:27.5706100Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:21:27.5706470Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:21:27.5706862Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:21:27.5707201Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:21:27.5707556Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:21:27.5707976Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:21:27.5708304Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:21:27.5708515Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:21:27.5708787Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:21:27.5709042Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:21:27.5709447Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:21:27.5709906Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:27.5710218Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:21:27.5710511Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:21:27.5710896Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:21:27.5711187Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:21:27.5711666Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:21:27.5712036Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:27.5712349Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:21:27.5712656Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:21:27.5712987Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:21:27.5713268Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:21:27.5713532Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:21:27.5713818Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:21:27.5714075Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:21:27.5714329Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:21:27.5714600Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:21:27.5714920Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:21:27.6097673Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:21:27.6098041Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:21:27.6098338Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:21:27.6098607Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:21:27.6098922Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:21:27.6099181Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:21:27.6099555Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:21:27.6099923Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:21:27.6100175Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:21:27.6100442Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
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2025-03-21T20:21:27.6101023Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:21:27.6101323Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:21:27.6101589Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:21:27.6101962Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
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2025-03-21T20:21:27.6102825Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
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2025-03-21T20:21:27.6103661Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
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2025-03-21T20:21:27.6104218Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
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2025-03-21T20:21:27.6104798Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:21:27.6105056Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:21:27.6105773Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:21:27.6106032Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:21:27.6106323Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
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2025-03-21T20:21:27.6106904Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:21:27.6107179Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:21:27.6107694Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:21:27.6108070Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
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2025-03-21T20:21:27.6109106Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
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2025-03-21T20:21:27.6109646Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:21:27.6109932Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:21:27.6110200Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:21:27.6110535Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:21:27.6110856Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:21:27.6111216Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:21:27.6111599Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:21:27.6111931Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:21:27.6112332Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:21:27.6112695Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:21:27.6113037Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:21:27.6113323Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:21:27.6113653Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
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2025-03-21T20:21:27.6114358Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:21:27.6114654Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:21:27.6115027Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
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2025-03-21T20:21:27.6116368Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
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2025-03-21T20:21:27.6116936Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:21:27.6117238Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:21:27.6117546Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
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2025-03-21T20:21:27.6118181Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
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2025-03-21T20:21:27.6118786Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:21:27.6119053Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:21:27.6119549Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:21:27.6119867Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:21:27.6120115Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:21:27.6120377Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:21:27.6120633Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:21:27.6120932Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:21:27.6121356Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:21:27.6121643Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:21:27.6121906Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:21:27.6122172Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:21:27.6122533Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:21:27.6122805Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
2025-03-21T20:21:27.6123083Z   adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py'
2025-03-21T20:21:27.6123363Z   adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py'
2025-03-21T20:21:27.6123619Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-03-21T20:21:27.6123882Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:21:27.6124152Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:21:27.6124465Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:21:27.6124750Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
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2025-03-21T20:21:27.6125327Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
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2025-03-21T20:21:27.6125878Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-03-21T20:21:27.6126156Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-03-21T20:21:27.6126461Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
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2025-03-21T20:21:27.6127021Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:21:27.6127317Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:21:27.6127600Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:21:27.6127886Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:21:27.6128141Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
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2025-03-21T20:21:27.6129910Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
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2025-03-21T20:21:27.6131752Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
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2025-03-21T20:21:27.6135941Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:21:27.6136329Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:21:27.6136717Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:21:27.6441038Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:21:27.6441935Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:21:27.6442629Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:21:27.6443443Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:21:27.6444304Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:21:27.6445110Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:21:27.6445946Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2025-03-21T20:21:27.6446942Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2025-03-21T20:21:27.6447801Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2025-03-21T20:21:27.6448671Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:21:27.6449599Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-03-21T20:21:27.6450380Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-03-21T20:21:27.6451242Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:21:27.6452240Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:21:27.6453334Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:21:27.6454396Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:21:27.6455383Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:21:27.6456377Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-03-21T20:21:27.6457365Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2025-03-21T20:21:27.6458402Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
2025-03-21T20:21:27.6459472Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml'
2025-03-21T20:21:27.6460501Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml'
2025-03-21T20:21:27.6461475Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml'
2025-03-21T20:21:27.6462461Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml'
2025-03-21T20:21:27.6463456Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2025-03-21T20:21:27.6464434Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2025-03-21T20:21:27.6465407Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
2025-03-21T20:21:27.6466449Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml'
2025-03-21T20:21:27.6467901Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:21:27.6468791Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
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2025-03-21T20:21:27.6470602Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml'
2025-03-21T20:21:27.6471745Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml'
2025-03-21T20:21:27.6472802Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml'
2025-03-21T20:21:27.6473803Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
2025-03-21T20:21:27.6474758Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml'
2025-03-21T20:21:27.6475720Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml'
2025-03-21T20:21:27.6476717Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml'
2025-03-21T20:21:27.6477721Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml'
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2025-03-21T20:21:27.6479694Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml'
2025-03-21T20:21:27.6480631Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml'
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2025-03-21T20:21:27.6482592Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml'
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2025-03-21T20:21:27.6484550Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
2025-03-21T20:21:27.6485535Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml'
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2025-03-21T20:21:27.6493639Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml'
2025-03-21T20:21:27.6494689Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml'
2025-03-21T20:21:27.6495691Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml'
2025-03-21T20:21:27.6496584Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
2025-03-21T20:21:27.6497466Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml'
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2025-03-21T20:21:27.6523889Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
2025-03-21T20:21:27.6524782Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml'
2025-03-21T20:21:27.6525701Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-03-21T20:21:27.6526636Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:21:27.6527567Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-03-21T20:21:27.6528462Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-03-21T20:21:27.6530295Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-03-21T20:21:27.6531372Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-03-21T20:21:27.6532460Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-03-21T20:21:27.6533553Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-03-21T20:21:27.6534716Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-03-21T20:21:27.6535900Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-03-21T20:21:27.6537033Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-03-21T20:21:27.9721238Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-03-21T20:21:27.9722586Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
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2025-03-21T20:21:27.9726343Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-03-21T20:21:27.9727428Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-03-21T20:21:27.9728856Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-03-21T20:21:27.9730602Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-03-21T20:21:27.9731767Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-03-21T20:21:27.9732821Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-03-21T20:21:27.9733877Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-03-21T20:21:27.9734921Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-03-21T20:21:27.9735950Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-03-21T20:21:27.9737006Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
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2025-03-21T20:21:27.9740428Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-03-21T20:21:27.9741379Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-03-21T20:21:27.9742315Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
2025-03-21T20:21:27.9743254Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py'
2025-03-21T20:21:27.9744116Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-03-21T20:21:27.9744960Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
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2025-03-21T20:21:27.9746625Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py'
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2025-03-21T20:21:27.9748532Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-03-21T20:21:27.9749616Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-03-21T20:21:27.9750694Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
2025-03-21T20:21:27.9751682Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
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2025-03-21T20:21:27.9753273Z   adding 'executorch/backends/xnnpack/utils/configs.py'
2025-03-21T20:21:27.9753904Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
2025-03-21T20:21:27.9754522Z   adding 'executorch/backends/xnnpack/utils/utils.py'
2025-03-21T20:21:27.9755175Z   adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py'
2025-03-21T20:21:27.9755806Z   adding 'executorch/codegen/__init__.py'
2025-03-21T20:21:27.9756326Z   adding 'executorch/codegen/tools/__init__.py'
2025-03-21T20:21:27.9756886Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
2025-03-21T20:21:27.9757455Z   adding 'executorch/codegen/tools/gen_oplist.py'
2025-03-21T20:21:27.9758009Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-03-21T20:21:27.9758638Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-03-21T20:21:27.9759667Z   adding 'executorch/codegen/tools/merge_yaml.py'
2025-03-21T20:21:27.9760231Z   adding 'executorch/codegen/tools/yaml_util.py'
2025-03-21T20:21:27.9760856Z   adding 'executorch/codegen/tools/test/test_gen_all_oplist.py'
2025-03-21T20:21:27.9761538Z   adding 'executorch/codegen/tools/test/test_gen_oplist.py'
2025-03-21T20:21:27.9762256Z   adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py'
2025-03-21T20:21:27.9763070Z   adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py'
2025-03-21T20:21:27.9763956Z   adding 'executorch/data/bin/__init__.py'
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2025-03-21T20:21:27.9767709Z   adding 'executorch/devtools/bundled_program/config.py'
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2025-03-21T20:21:27.9773203Z   adding 'executorch/devtools/bundled_program/schema/test/test_schema.py'
2025-03-21T20:21:27.9774002Z   adding 'executorch/devtools/bundled_program/serialize/__init__.py'
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2025-03-21T20:21:27.9776624Z   adding 'executorch/devtools/bundled_program/serialize/test/test_serialize.py'
2025-03-21T20:21:27.9777480Z   adding 'executorch/devtools/bundled_program/test/test_bundle_data.py'
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2025-03-21T20:21:27.9786113Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
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2025-03-21T20:21:27.9789373Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
2025-03-21T20:21:27.9790122Z   adding 'executorch/devtools/inspector/tests/inspector_test.py'
2025-03-21T20:21:27.9790892Z   adding 'executorch/devtools/inspector/tests/inspector_utils_test.py'
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2025-03-21T20:21:27.9795036Z   adding 'executorch/devtools/visualization/visualization_utils_test.py'
2025-03-21T20:21:27.9795915Z   adding 'executorch/examples/apple/coreml/llama/export.py'
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2025-03-21T20:21:27.9799385Z   adding 'executorch/examples/llm_pte_finetuning/__init__.py'
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2025-03-21T20:21:27.9802557Z   adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml'
2025-03-21T20:21:27.9803327Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
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2025-03-21T20:21:27.9805412Z   adding 'executorch/examples/models/__init__.py'
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2025-03-21T20:21:27.9812052Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py'
2025-03-21T20:21:27.9813093Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py'
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2025-03-21T20:21:27.9815243Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py'
2025-03-21T20:21:27.9816250Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py'
2025-03-21T20:21:28.0201522Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
2025-03-21T20:21:28.0202573Z   adding 'executorch/examples/models/emformer_rnnt/__init__.py'
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2025-03-21T20:21:28.0204684Z   adding 'executorch/examples/models/inception_v3/model.py'
2025-03-21T20:21:28.0205369Z   adding 'executorch/examples/models/inception_v4/__init__.py'
2025-03-21T20:21:28.0206042Z   adding 'executorch/examples/models/inception_v4/model.py'
2025-03-21T20:21:28.0206686Z   adding 'executorch/examples/models/llama/__init__.py'
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2025-03-21T20:21:28.0210649Z   adding 'executorch/examples/models/llama/export_llama_lib.py'
2025-03-21T20:21:28.0211310Z   adding 'executorch/examples/models/llama/fairseq2.py'
2025-03-21T20:21:28.0212034Z   adding 'executorch/examples/models/llama/install_requirement_helper.py'
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2025-03-21T20:21:28.0215018Z   adding 'executorch/examples/models/llama/model_args.py'
2025-03-21T20:21:28.0215624Z   adding 'executorch/examples/models/llama/norm.py'
2025-03-21T20:21:28.0216200Z   adding 'executorch/examples/models/llama/rope.py'
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2025-03-21T20:21:28.0228528Z   adding 'executorch/examples/models/llama/source_transformation/lora.py'
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2025-03-21T20:21:28.0258708Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-03-21T20:21:28.0259559Z   adding 'executorch/examples/models/llava/__init__.py'
2025-03-21T20:21:28.0260183Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-03-21T20:21:28.0260846Z   adding 'executorch/examples/models/llava/image_util.py'
2025-03-21T20:21:28.0261452Z   adding 'executorch/examples/models/llava/model.py'
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2025-03-21T20:21:28.0263410Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-03-21T20:21:28.0263986Z   adding 'executorch/examples/models/lstm/model.py'
2025-03-21T20:21:28.0264618Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-03-21T20:21:28.0265297Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-03-21T20:21:28.0265961Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2025-03-21T20:21:28.0266628Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2025-03-21T20:21:28.0267290Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:21:28.0267964Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:21:28.0268639Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-03-21T20:21:28.0269313Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-03-21T20:21:28.0269962Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-03-21T20:21:28.0270669Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
2025-03-21T20:21:28.0271400Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
2025-03-21T20:21:28.0272104Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-03-21T20:21:28.0272857Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-03-21T20:21:28.0273584Z   adding 'executorch/examples/models/phi-4-mini/__init__.py'
2025-03-21T20:21:28.0274294Z   adding 'executorch/examples/models/phi-4-mini/convert_weights.py'
2025-03-21T20:21:28.0274981Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-03-21T20:21:28.0275657Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-03-21T20:21:28.0276574Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-03-21T20:21:28.0277177Z   adding 'executorch/examples/models/resnet/model.py'
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2025-03-21T20:21:28.0280589Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-03-21T20:21:28.0281258Z   adding 'executorch/examples/models/toy_model/model.py'
2025-03-21T20:21:28.0281910Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:21:28.0282562Z   adding 'executorch/examples/models/wav2letter/model.py'
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2025-03-21T20:21:28.0285571Z   adding 'executorch/exir/delegate.pyi'
2025-03-21T20:21:28.0286072Z   adding 'executorch/exir/dim_order_utils.py'
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2025-03-21T20:21:28.0287089Z   adding 'executorch/exir/error.py'
2025-03-21T20:21:28.0287547Z   adding 'executorch/exir/graph.py'
2025-03-21T20:21:28.0288030Z   adding 'executorch/exir/graph_module.py'
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2025-03-21T20:21:28.0290231Z   adding 'executorch/exir/pass_base.py'
2025-03-21T20:21:28.0290726Z   adding 'executorch/exir/pass_manager.py'
2025-03-21T20:21:28.0291238Z   adding 'executorch/exir/print_program.py'
2025-03-21T20:21:28.0291738Z   adding 'executorch/exir/scalar_type.py'
2025-03-21T20:21:28.0292219Z   adding 'executorch/exir/schema.py'
2025-03-21T20:21:28.0292728Z   adding 'executorch/exir/sym_util.py'
2025-03-21T20:21:28.0293197Z   adding 'executorch/exir/tensor.py'
2025-03-21T20:21:28.0293690Z   adding 'executorch/exir/tracer.py'
2025-03-21T20:21:28.0294152Z   adding 'executorch/exir/types.py'
2025-03-21T20:21:28.0294613Z   adding 'executorch/exir/version.py'
2025-03-21T20:21:28.0295076Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:21:28.0295564Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:21:28.0296108Z   adding 'executorch/exir/_serialize/_cord.py'
2025-03-21T20:21:28.0927248Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-03-21T20:21:28.0927918Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:21:28.0928617Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:21:28.0929717Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:21:28.0930409Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:21:28.0931021Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:21:28.0931608Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:21:28.0932170Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:21:28.0932750Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:21:28.0933339Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:21:28.0933963Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:21:28.0934603Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:21:28.0935321Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:21:28.0936018Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:21:28.0936623Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:21:28.0937664Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:21:28.0938273Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:21:28.0938904Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:21:28.0939495Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:21:28.0940039Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:21:28.0940750Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:21:28.0941946Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:21:28.0943004Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:21:28.0944002Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:21:28.0944885Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:21:28.0945719Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:21:28.0946573Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:21:28.0947329Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:21:28.0948025Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:21:28.0948857Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:21:28.0949612Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:21:28.0950358Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:21:28.0951019Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:21:28.0951709Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:21:28.0952396Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:21:28.0953093Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:21:28.0953830Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:21:28.0954573Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:21:28.0955320Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:21:28.0956037Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:21:28.0956670Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:21:28.0957266Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:21:28.0957967Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:21:28.0958765Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:21:28.0959624Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:21:28.0960567Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:21:28.0961376Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:21:28.0962000Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:21:28.0962542Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:21:28.0963079Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:21:28.0963600Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:21:28.0964128Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:21:28.0964651Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:21:28.0965185Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:21:28.0965864Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:21:28.0966522Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:21:28.0967071Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:21:28.0967638Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:21:28.0968213Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:21:28.0968817Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:21:28.0969790Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:21:28.0970420Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:21:28.0971002Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:21:28.0971607Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:21:28.0972265Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:21:28.0972880Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:21:28.0973649Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:21:28.0974332Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:21:28.0975033Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:21:28.0975748Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:21:28.0976369Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:21:28.0976892Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:21:28.0977435Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:21:28.0977966Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:21:28.0978514Z   adding 'executorch/exir/operator/convert.py'
2025-03-21T20:21:28.0979043Z   adding 'executorch/exir/operator/manip.py'
2025-03-21T20:21:28.0979553Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:21:28.0980129Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-03-21T20:21:28.0980722Z   adding 'executorch/exir/passes/__init__.py'
2025-03-21T20:21:28.0981379Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-03-21T20:21:28.0982078Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:21:28.0982680Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:21:28.0983363Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:21:28.0984057Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:21:28.0984725Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:21:28.0985445Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:21:28.0986158Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:21:28.0986793Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:21:28.0987496Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:21:28.0988238Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:21:28.0988896Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:21:28.0989569Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:21:28.0990286Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:21:28.0990958Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:21:28.0991591Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:21:28.0992237Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:21:28.0992847Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:21:28.0993491Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:21:28.0994195Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:21:28.0994850Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:21:28.0995509Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:21:28.0996315Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:21:28.0997146Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:21:28.0997860Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:21:28.0998598Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:21:28.0999323Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:21:28.0999938Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-03-21T20:21:28.1000786Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-03-21T20:21:28.1001403Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:21:28.1002030Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:21:28.1002640Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:21:28.1003189Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:21:28.1003746Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:21:28.1004296Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:21:28.1005038Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:21:28.1005714Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:21:28.1006280Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:21:28.1006820Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:21:28.1007365Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:21:28.1007877Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:21:28.1008420Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:21:28.1008935Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:21:28.1009560Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:21:28.1010110Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:21:28.1010629Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:21:28.1011187Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:21:28.1011805Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:21:28.1012409Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:21:28.1012967Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:21:28.1013539Z   adding 'executorch/exir/tests/test_capture.py'
2025-03-21T20:21:28.1014086Z   adding 'executorch/exir/tests/test_common.py'
2025-03-21T20:21:28.1014639Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:21:28.1015228Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:21:28.1015928Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:21:28.1016575Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:21:28.1017125Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:21:28.1017766Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:21:28.1018501Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:21:28.1019284Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:21:28.1020002Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:21:28.1020599Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:21:28.5444057Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-03-21T20:21:28.5444710Z   adding 'executorch/exir/tests/test_passes.py'
2025-03-21T20:21:28.5445296Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:21:28.5445960Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:21:28.5446709Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:21:28.5447331Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:21:28.5447945Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:21:28.5448583Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:21:28.5449160Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:21:28.5449774Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:21:28.5450329Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:21:28.5450888Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:21:28.5451459Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:21:28.5452006Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:21:28.5452637Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:21:28.5453226Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:21:28.5454284Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:21:28.5454885Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:21:28.5455521Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:21:28.5456184Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:21:28.5456811Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:21:28.5457400Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:21:28.5458211Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:21:28.5458902Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:21:28.5459660Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:21:28.5460477Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:21:28.5461294Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:21:28.5462072Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:21:28.5462819Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:21:28.5463516Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:21:28.5464142Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:21:28.5464749Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:21:28.5465451Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:21:28.5466194Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:21:28.5466854Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:21:28.5467590Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:21:28.5468354Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:21:28.5469077Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:21:28.5469855Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:21:28.5470710Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:21:28.5471564Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:21:28.5472361Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:21:28.5473224Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:21:28.5474204Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:21:28.5475160Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:21:28.5476122Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:21:28.5476720Z   adding 'executorch/extension/llm/export/builder.py'
2025-03-21T20:21:28.5477351Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-03-21T20:21:28.5478022Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:21:28.5478712Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
2025-03-21T20:21:28.5479397Z   adding 'executorch/extension/llm/export/test_export_passes.py'
2025-03-21T20:21:28.5480068Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-03-21T20:21:28.5480758Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
2025-03-21T20:21:28.5481464Z   adding 'executorch/extension/llm/modules/attention.py'
2025-03-21T20:21:28.5482077Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:21:28.5482718Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:21:28.5483429Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:21:28.5484170Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:21:28.5484975Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:21:28.5485735Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:21:28.5486640Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:21:28.5487317Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:21:28.5487944Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:21:28.5488635Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:21:28.5489460Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:21:28.5490203Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:21:28.5491252Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:21:28.5492197Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:21:28.5493084Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:21:28.5494067Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:21:28.5495146Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:28.5496077Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:28.5497012Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-aarch64-linux-gnu.so'
2025-03-21T20:21:28.5497872Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-03-21T20:21:28.5498531Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:21:28.5499202Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-03-21T20:21:28.5499956Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
2025-03-21T20:21:28.5500767Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:21:28.5501433Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:21:28.5502005Z   adding 'executorch/extension/pytree/test/test.py'
2025-03-21T20:21:28.5502584Z   adding 'executorch/extension/training/__init__.py'
2025-03-21T20:21:28.5503278Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:21:28.5504020Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:21:28.5504790Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:21:28.5505611Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:21:28.5506413Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:21:28.5507188Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:21:28.5508107Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:21:28.5509153Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:21:28.5510059Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:21:28.5510863Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:21:28.5511682Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:21:28.5512529Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:21:28.5513367Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:21:28.5514261Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:21:28.5515143Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:21:28.5516054Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:21:28.5516898Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:21:28.5517645Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:21:28.5518375Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:21:28.5519069Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:21:28.5520068Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:21:28.5520800Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:21:28.5521774Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:21:28.5522686Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:21:28.5523562Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-03-21T20:21:28.5524544Z   adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h'
2025-03-21T20:21:28.5525446Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:21:28.5526259Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:21:28.5527003Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:21:28.5527675Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:21:28.5528352Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:21:28.5529072Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:21:28.5530231Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-03-21T20:21:28.5531107Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-03-21T20:21:28.5532083Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-03-21T20:21:28.5533150Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-03-21T20:21:28.5534161Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-03-21T20:21:28.5535157Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-03-21T20:21:28.5536203Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-03-21T20:21:28.5537300Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-03-21T20:21:33.4851277Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-03-21T20:21:33.4852351Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-03-21T20:21:33.4853291Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-03-21T20:21:33.4854250Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-03-21T20:21:33.4855209Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-03-21T20:21:33.4856106Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:21:33.4856981Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:21:33.4857868Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:21:33.4858775Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-03-21T20:21:33.4859700Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-03-21T20:21:33.4860613Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-03-21T20:21:33.4861560Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-03-21T20:21:33.4862472Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-03-21T20:21:33.4863402Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-03-21T20:21:33.4864378Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:21:33.4865408Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:21:33.4866469Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:21:33.4867555Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:21:33.4869214Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-03-21T20:21:33.4870317Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-03-21T20:21:33.4871384Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:21:33.4872420Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:21:33.4873730Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-03-21T20:21:33.4874878Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-03-21T20:21:33.4876018Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:21:33.4877152Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:21:33.4878103Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-03-21T20:21:33.4878992Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-03-21T20:21:33.4879899Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-03-21T20:21:33.4880826Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-03-21T20:21:33.4881721Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-03-21T20:21:33.4882507Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-03-21T20:21:33.4883254Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-03-21T20:21:33.4883999Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-03-21T20:21:33.4884797Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-03-21T20:21:33.4885609Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-03-21T20:21:33.4886371Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-03-21T20:21:33.4887116Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-03-21T20:21:33.4887902Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-03-21T20:21:33.4888674Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-03-21T20:21:33.4889553Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-03-21T20:21:33.4890303Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-03-21T20:21:33.4891136Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-03-21T20:21:33.4891882Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:21:33.4892546Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-03-21T20:21:33.4893237Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-03-21T20:21:33.4893946Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:21:33.4894744Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-03-21T20:21:33.4895551Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-03-21T20:21:33.4896245Z   adding 'executorch/runtime/__init__.py'
2025-03-21T20:21:33.4896804Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-03-21T20:21:33.4897404Z   adding 'executorch/runtime/test/test_runtime.py'
2025-03-21T20:21:33.4897935Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:21:33.4898456Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:21:33.4899047Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-03-21T20:21:33.4899692Z   adding 'executorch/util/activation_memory_profiler.py'
2025-03-21T20:21:33.4900259Z   adding 'executorch/util/collect_env.py'
2025-03-21T20:21:33.4900766Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:21:33.4901346Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:21:33.4902201Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
2025-03-21T20:21:33.4902809Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL'
2025-03-21T20:21:33.4903461Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt'
2025-03-21T20:21:33.4904161Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt'
2025-03-21T20:21:33.4904805Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:21:33.4905366Z   removing pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:33.4906474Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:21:33.4907922Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl size=7062144 sha256=e8370c951e10fa5e1361e5e85e883ea07f26247cc0da9bea441864d4c64237e9
2025-03-21T20:21:33.4909683Z   Stored in directory: /tmp/pip-ephem-wheel-cache-tx8g9ti9/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-03-21T20:21:33.4910645Z Successfully built executorch
2025-03-21T20:21:33.4911526Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:21:33.4912539Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:21:33.4913115Z   Attempting uninstall: pytest
2025-03-21T20:21:33.4913578Z     Found existing installation: pytest 7.2.0
2025-03-21T20:21:33.4914268Z     Uninstalling pytest-7.2.0:
2025-03-21T20:21:33.4914809Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-03-21T20:21:33.4915527Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-03-21T20:21:33.4916495Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-03-21T20:21:33.4917599Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-03-21T20:21:33.4918565Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-03-21T20:21:33.4919625Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-03-21T20:21:33.4920677Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-03-21T20:21:33.4921422Z       Successfully uninstalled pytest-7.2.0
2025-03-21T20:21:33.4922000Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-03-21T20:21:33.4922655Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-03-21T20:21:33.4923306Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:21:33.4924510Z Successfully installed execnet-2.1.1 executorch-0.6.0a0+be92d7d flatbuffers-25.2.10 pytest-8.3.5 pytest-rerunfailures-15.0 pytest-xdist-3.6.1 tabulate-0.9.0
2025-03-21T20:21:33.4925587Z + pip list
2025-03-21T20:21:33.4926024Z Package                       Version            Editable project location
2025-03-21T20:21:33.4926694Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:21:33.4927275Z alabaster                     0.7.16
2025-03-21T20:21:33.4927700Z attrs                         25.3.0
2025-03-21T20:21:33.4928113Z babel                         2.17.0
2025-03-21T20:21:33.4928548Z beautifulsoup4                4.13.3
2025-03-21T20:21:33.4928990Z breathe                       4.34.0
2025-03-21T20:21:33.4929669Z bs4                           0.0.2
2025-03-21T20:21:33.4930089Z certifi                       2025.1.31
2025-03-21T20:21:33.4930525Z charset-normalizer            3.4.1
2025-03-21T20:21:33.4930960Z cmake                         3.31.6
2025-03-21T20:21:33.4931380Z contourpy                     1.3.1
2025-03-21T20:21:33.4931797Z coverage                      7.7.0
2025-03-21T20:21:33.4932209Z cycler                        0.12.1
2025-03-21T20:21:33.4932618Z docutils                      0.16
2025-03-21T20:21:33.4933038Z exceptiongroup                1.2.2
2025-03-21T20:21:33.4933457Z execnet                       2.1.1
2025-03-21T20:21:33.4934379Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:21:33.4934846Z exhale                        0.2.3
2025-03-21T20:21:33.4935267Z expecttest                    0.1.6
2025-03-21T20:21:33.4935692Z filelock                      3.18.0
2025-03-21T20:21:33.4936128Z flatbuffers                   25.2.10
2025-03-21T20:21:33.4936563Z fonttools                     4.56.0
2025-03-21T20:21:33.4936997Z fsspec                        2025.3.0
2025-03-21T20:21:33.4937429Z huggingface-hub               0.29.3
2025-03-21T20:21:33.4937876Z hypothesis                    6.84.2
2025-03-21T20:21:33.4938507Z idna                          3.10
2025-03-21T20:21:33.4938957Z imagesize                     1.4.1
2025-03-21T20:21:33.4939387Z iniconfig                     2.1.0
2025-03-21T20:21:33.4939801Z Jinja2                        3.1.6
2025-03-21T20:21:33.4940218Z kiwisolver                    1.4.8
2025-03-21T20:21:33.4940641Z lxml                          5.3.1
2025-03-21T20:21:33.4941070Z markdown-it-py                2.2.0
2025-03-21T20:21:33.4941517Z MarkupSafe                    3.0.2
2025-03-21T20:21:33.4941936Z matplotlib                    3.10.1
2025-03-21T20:21:33.4942372Z mdit-py-plugins               0.3.5
2025-03-21T20:21:33.4942803Z mdurl                         0.1.2
2025-03-21T20:21:33.4943220Z mpmath                        1.3.0
2025-03-21T20:21:33.4943644Z myst-parser                   0.18.1
2025-03-21T20:21:33.4944068Z networkx                      3.4.2
2025-03-21T20:21:33.4944481Z numpy                         2.2.4
2025-03-21T20:21:33.4944908Z packaging                     24.2
2025-03-21T20:21:33.4945326Z pandas                        2.2.3
2025-03-21T20:21:33.4945752Z parameterized                 0.9.0
2025-03-21T20:21:33.4946180Z pillow                        11.1.0
2025-03-21T20:21:33.4946604Z pip                           25.0
2025-03-21T20:21:38.8588272Z pluggy                        1.5.0
2025-03-21T20:21:38.8589238Z Pygments                      2.19.1
2025-03-21T20:21:38.8589679Z pyparsing                     3.2.1
2025-03-21T20:21:38.8590155Z pytest                        8.3.5
2025-03-21T20:21:38.8590584Z pytest-cov                    4.1.0
2025-03-21T20:21:38.8591035Z pytest-rerunfailures          15.0
2025-03-21T20:21:38.8591480Z pytest-xdist                  3.6.1
2025-03-21T20:21:38.8591924Z python-dateutil               2.9.0.post0
2025-03-21T20:21:38.8592557Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:21:38.8593189Z pytz                          2025.1
2025-03-21T20:21:38.8593628Z PyYAML                        6.0.1
2025-03-21T20:21:38.8594052Z regex                         2024.11.6
2025-03-21T20:21:38.8594479Z requests                      2.32.3
2025-03-21T20:21:38.8594912Z ruamel.yaml                   0.17.32
2025-03-21T20:21:38.8595356Z ruamel.yaml.clib              0.2.12
2025-03-21T20:21:38.8595797Z safetensors                   0.5.3
2025-03-21T20:21:38.8596226Z setuptools                    75.8.0
2025-03-21T20:21:38.8596648Z six                           1.17.0
2025-03-21T20:21:38.8597074Z snowballstemmer               2.2.0
2025-03-21T20:21:38.8597513Z sortedcontainers              2.4.0
2025-03-21T20:21:38.8597947Z soupsieve                     2.6
2025-03-21T20:21:38.8598366Z Sphinx                        5.3.0
2025-03-21T20:21:38.8598791Z sphinx-copybutton             0.5.0
2025-03-21T20:21:38.8599228Z sphinx_design                 0.4.1
2025-03-21T20:21:38.8599660Z sphinx-gallery                0.14.0
2025-03-21T20:21:38.8600118Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:21:38.8600594Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:21:38.8601053Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:21:38.8601513Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:21:38.8601971Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:21:38.8602443Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:21:38.8602902Z sympy                         1.13.3
2025-03-21T20:21:38.8603321Z tabulate                      0.9.0
2025-03-21T20:21:38.8604672Z timm                          1.0.7
2025-03-21T20:21:38.8605095Z tokenizers                    0.21.1
2025-03-21T20:21:38.8605525Z tomli                         2.0.1
2025-03-21T20:21:38.8605975Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:21:38.8606474Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:21:38.8606970Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:21:38.8607433Z torchsr                       1.0.4
2025-03-21T20:21:38.8607891Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:21:38.8608572Z tqdm                          4.67.1
2025-03-21T20:21:38.8609018Z transformers                  4.47.1
2025-03-21T20:21:38.8609757Z typing_extensions             4.12.2
2025-03-21T20:21:38.8610199Z tzdata                        2025.1
2025-03-21T20:21:38.8610622Z urllib3                       2.3.0
2025-03-21T20:21:38.8611039Z wheel                         0.45.1
2025-03-21T20:21:38.8611455Z zstd                          1.5.5.1
2025-03-21T20:21:38.8611916Z + build_executorch_runner cmake Release
2025-03-21T20:21:38.8612371Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:21:38.8612759Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:21:38.8613339Z + build_executorch_runner_cmake Release
2025-03-21T20:21:38.8613821Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:38.8614252Z + clean_executorch_install_folders
2025-03-21T20:21:38.8614708Z + ./install_executorch.sh --clean
2025-03-21T20:21:38.8615162Z Cleaning build artifacts...
2025-03-21T20:21:38.8615561Z Cleaning pip-out/...
2025-03-21T20:21:38.8615939Z Done cleaning build artifacts.
2025-03-21T20:21:38.8616343Z + mkdir cmake-out
2025-03-21T20:21:38.8616688Z + pushd cmake-out
2025-03-21T20:21:38.8617106Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:21:38.8617630Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:21:38.8618006Z + CXXFLAGS=
2025-03-21T20:21:38.8618309Z + CXXFLAGS=
2025-03-21T20:21:38.8618805Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:38.8619562Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:38.8620288Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:21:38.8620818Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:38.8621331Z -- Detecting C compiler ABI info
2025-03-21T20:21:38.8621781Z -- Detecting C compiler ABI info - done
2025-03-21T20:21:38.8622340Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:21:38.8622896Z -- Detecting C compile features
2025-03-21T20:21:38.8623334Z -- Detecting C compile features - done
2025-03-21T20:21:38.8623806Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:38.8624265Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:21:38.8624843Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:21:38.8625416Z -- Detecting CXX compile features
2025-03-21T20:21:38.8625865Z -- Detecting CXX compile features - done
2025-03-21T20:21:38.8627069Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:38.8628119Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:38.8628718Z   CMake.
2025-03-21T20:21:38.8628890Z 
2025-03-21T20:21:38.8629229Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:38.8630909Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:38.8631603Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:38.8631977Z 
2025-03-21T20:21:38.8632178Z 
2025-03-21T20:21:38.8633051Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:38.8634096Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:38.8634695Z   CMake.
2025-03-21T20:21:38.8634864Z 
2025-03-21T20:21:38.8635191Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:38.8636402Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:38.8637093Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:38.8637466Z 
2025-03-21T20:21:38.8637663Z 
2025-03-21T20:21:38.8638019Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:21:38.8638591Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:21:38.8639098Z -- Found Threads: TRUE
2025-03-21T20:21:38.8640278Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:38.8641388Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:38.8642074Z   CMake.
2025-03-21T20:21:38.8642253Z 
2025-03-21T20:21:38.8642596Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:38.8643401Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:38.8644099Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:38.8644480Z 
2025-03-21T20:21:38.8644661Z 
2025-03-21T20:21:38.8644987Z -- Using python executable 'python'
2025-03-21T20:21:38.8645951Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:21:38.8646914Z -- Killing buck2 daemon
2025-03-21T20:21:38.8647758Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:21:38.8648708Z -- executorch: Generating source lists
2025-03-21T20:21:38.8649572Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:38.8650563Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:38.8651281Z -- executorch: Using PAL default 'posix'
2025-03-21T20:21:38.8651747Z -- Generating operator lib:
2025-03-21T20:21:38.8652158Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:38.8652738Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:38.8653340Z --   ROOT_OPS: 
2025-03-21T20:21:38.8653675Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:21:38.8655433Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml"
2025-03-21T20:21:38.8657040Z -- Generating kernel bindings:
2025-03-21T20:21:38.8657473Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:38.8658060Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:38.8658682Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:21:38.8659070Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:21:38.8661418Z Generated files /pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h
2025-03-21T20:21:38.8663513Z -- Generating operator lib:
2025-03-21T20:21:38.8663916Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:38.8664339Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:21:38.8664765Z --   DEPS: executorch
2025-03-21T20:21:38.8665581Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:21:38.8666520Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:38.8667132Z   CMake.
2025-03-21T20:21:38.8667306Z 
2025-03-21T20:21:38.8667636Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:38.8668441Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:38.8669135Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:38.8669502Z 
2025-03-21T20:21:38.8669686Z 
2025-03-21T20:21:38.8670011Z -- Looking for C++ include unistd.h
2025-03-21T20:21:38.8670795Z -- Looking for C++ include unistd.h - found
2025-03-21T20:21:38.8671271Z -- Looking for C++ include stdint.h
2025-03-21T20:21:38.8671736Z -- Looking for C++ include stdint.h - found
2025-03-21T20:21:38.8672220Z -- Looking for C++ include inttypes.h
2025-03-21T20:21:38.8672701Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:21:38.8673188Z -- Looking for C++ include sys/types.h
2025-03-21T20:21:38.8673675Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:21:38.8674321Z -- Looking for C++ include sys/stat.h
2025-03-21T20:21:38.8674831Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:21:38.8675319Z -- Looking for C++ include fnmatch.h
2025-03-21T20:21:38.8675783Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:21:38.8676276Z -- Looking for C++ include stddef.h
2025-03-21T20:21:38.8676738Z -- Looking for C++ include stddef.h - found
2025-03-21T20:21:38.8677207Z -- Check size of uint32_t
2025-03-21T20:21:38.8677615Z -- Check size of uint32_t - done
2025-03-21T20:21:38.8678021Z -- Looking for strtoll
2025-03-21T20:21:38.8678402Z -- Looking for strtoll - found
2025-03-21T20:21:38.8678790Z -- 
2025-03-21T20:21:38.8679098Z -- ******** Summary ********
2025-03-21T20:21:38.8679521Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:21:38.8679988Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:21:38.8680459Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:21:38.8680932Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:21:38.8681863Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:21:38.8682808Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:21:38.8683512Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:21:38.8684246Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:21:38.8684792Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:21:38.8685339Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:21:38.8685868Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:21:38.8686408Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:21:38.8686931Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:21:38.8687459Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:21:38.8687979Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:21:38.8688501Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:21:38.8689037Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:21:38.8689706Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:21:38.8690256Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:21:38.8690775Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:21:38.8691281Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:21:38.8691823Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:21:40.0366485Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:21:40.0367344Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:21:40.0367927Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:21:40.0368457Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:21:40.0369425Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:21:40.0370027Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:21:40.0370727Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:21:40.0371466Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:21:40.0372692Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:21:40.0373337Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:21:40.0373872Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:21:40.0374521Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:21:40.0375188Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:21:40.0376207Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:21:40.0376739Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:21:40.0377259Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:21:40.0377796Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:21:40.0378334Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:21:40.0378839Z -- Configuring done (4.9s)
2025-03-21T20:21:40.0379240Z -- Generating done (0.2s)
2025-03-21T20:21:40.0380008Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:21:40.0380629Z + popd
2025-03-21T20:21:40.0380952Z /pytorch/executorch
2025-03-21T20:21:40.0381311Z ++ uname
2025-03-21T20:21:40.0381625Z + '[' Linux == Darwin ']'
2025-03-21T20:21:40.0381984Z ++ nproc
2025-03-21T20:21:40.0382286Z + CMAKE_JOBS=7
2025-03-21T20:21:40.0382650Z + cmake --build cmake-out -j 7
2025-03-21T20:21:40.0383455Z [  1%] Creating directories for 'flatbuffers'
2025-03-21T20:21:40.0384598Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o
2025-03-21T20:21:40.0386016Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:21:40.0387462Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-03-21T20:21:40.0388861Z [  1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
2025-03-21T20:21:40.0390305Z [  2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
2025-03-21T20:21:40.0391778Z [  2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o
2025-03-21T20:21:40.0392802Z [  3%] No download step for 'flatbuffers'
2025-03-21T20:21:40.0393454Z [  3%] No update step for 'flatbuffers'
2025-03-21T20:21:40.0394152Z [  3%] No patch step for 'flatbuffers'
2025-03-21T20:21:40.0395158Z [  3%] Performing configure step for 'flatbuffers'
2025-03-21T20:21:40.0395868Z CMake Warning:
2025-03-21T20:21:40.0396334Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:21:40.0396732Z 
2025-03-21T20:21:40.0396913Z 
2025-03-21T20:21:40.0397289Z fatal: No names found, cannot describe anything.
2025-03-21T20:21:40.0397965Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:21:40.0398534Z   git describe failed with exit code: 128
2025-03-21T20:21:40.0398858Z 
2025-03-21T20:21:40.0399116Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:21:40.0399681Z Call Stack (most recent call first):
2025-03-21T20:21:40.0400130Z   CMakeLists.txt:5 (include)
2025-03-21T20:21:40.0400407Z 
2025-03-21T20:21:40.0400589Z 
2025-03-21T20:21:40.0400926Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:21:40.0404272Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o
2025-03-21T20:21:40.0405862Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
2025-03-21T20:21:40.0406848Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:40.0407918Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o
2025-03-21T20:21:40.0408825Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:40.0409882Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o
2025-03-21T20:21:40.0411287Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o
2025-03-21T20:21:40.0412633Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
2025-03-21T20:21:40.0413662Z [  3%] Linking CXX static library libgflags_nothreads.a
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2025-03-21T20:21:40.0417725Z [  4%] Built target gflags_nothreads_static
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2025-03-21T20:21:57.7299253Z + [[ '' == *main* ]]
2025-03-21T20:21:57.7299592Z + [[ '' == *gh* ]]
2025-03-21T20:21:57.7299945Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:57.7300449Z + bash .ci/scripts/test_model.sh mobilebert cmake portable
2025-03-21T20:21:57.7301004Z ++ dirname .ci/scripts/test_model.sh
2025-03-21T20:21:57.7301457Z + source .ci/scripts/utils.sh
2025-03-21T20:21:57.7301864Z + MODEL_NAME=mobilebert
2025-03-21T20:21:57.7302268Z + [[ -z mobilebert ]]
2025-03-21T20:21:57.7302663Z + BUILD_TOOL=cmake
2025-03-21T20:21:57.7303004Z + [[ -z cmake ]]
2025-03-21T20:21:57.7303346Z + BACKEND=portable
2025-03-21T20:21:57.7303681Z + [[ -z portable ]]
2025-03-21T20:21:57.7304019Z + UPLOAD_DIR=
2025-03-21T20:21:57.7304342Z + [[ -z python ]]
2025-03-21T20:21:57.7304674Z + which python
2025-03-21T20:21:57.7305028Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:21:57.7305475Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:57.7305886Z + EXPORTED_MODEL=mobilebert
2025-03-21T20:21:57.7306295Z + [[ portable == \p\o\r\t\a\b\l\e ]]
2025-03-21T20:21:57.7306800Z + echo 'Testing mobilebert with portable kernels...'
2025-03-21T20:21:57.7307359Z Testing mobilebert with portable kernels...
2025-03-21T20:21:57.7307817Z + test_model
2025-03-21T20:22:52.2898140Z + [[ mobilebert == \l\l\a\m\a\2 ]]
2025-03-21T20:22:52.2901027Z + STRICT=--strict
2025-03-21T20:22:52.2901476Z + [[ mobilebert == \l\l\a\v\a ]]
2025-03-21T20:22:52.2902040Z + [[ mobilebert == \l\l\a\m\a\3\_\2\_\v\i\s\i\o\n\_\e\n\c\o\d\e\r ]]
2025-03-21T20:22:52.2902688Z + [[ mobilebert == \l\l\a\m\a\3\_\2\_\t\e\x\t\_\d\e\c\o\d\e\r ]]
2025-03-21T20:22:52.2903233Z + [[ mobilebert == \q\w\e\n\2\_\5 ]]
2025-03-21T20:22:52.2903680Z + [[ mobilebert == \p\h\i\-\4\-\m\i\n\i ]]
2025-03-21T20:22:52.2904374Z + python -m examples.portable.scripts.export --model_name=mobilebert --strict
2025-03-21T20:22:52.2905163Z [INFO 2025-03-21 20:22:06,167 model.py:21] loading mobilebert model
2025-03-21T20:22:52.2906101Z 
2025-03-21T20:22:52.2906275Z config.json:   0% 0.00/847 [00:00<?, ?B/s]
2025-03-21T20:22:52.2906765Z config.json: 100% 847/847 [00:00<00:00, 4.76MB/s]
2025-03-21T20:22:52.2907102Z 
2025-03-21T20:22:52.2907514Z pytorch_model.bin:   0% 0.00/147M [00:00<?, ?B/s]
2025-03-21T20:22:52.2908093Z pytorch_model.bin:  21% 31.5M/147M [00:00<00:00, 233MB/s]
2025-03-21T20:22:52.2909460Z pytorch_model.bin:  43% 62.9M/147M [00:00<00:00, 221MB/s]
2025-03-21T20:22:52.2910413Z pytorch_model.bin:  64% 94.4M/147M [00:00<00:00, 219MB/s]
2025-03-21T20:22:52.2911060Z pytorch_model.bin:  86% 126M/147M [00:00<00:00, 223MB/s] 
2025-03-21T20:22:52.2911660Z pytorch_model.bin: 100% 147M/147M [00:00<00:00, 221MB/s]
2025-03-21T20:22:52.2912283Z [INFO 2025-03-21 20:22:08,503 model.py:26] loaded mobilebert model
2025-03-21T20:22:52.2912700Z 
2025-03-21T20:22:52.2912869Z vocab.txt:   0% 0.00/232k [00:00<?, ?B/s]
2025-03-21T20:22:52.2913351Z vocab.txt: 100% 232k/232k [00:00<00:00, 70.6MB/s]
2025-03-21T20:22:52.2913702Z 
2025-03-21T20:22:52.2913889Z tokenizer.json:   0% 0.00/466k [00:00<?, ?B/s]
2025-03-21T20:22:52.2914425Z tokenizer.json: 100% 466k/466k [00:00<00:00, 76.2MB/s]
2025-03-21T20:22:52.2916320Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:52.2918471Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:52.2920556Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:52.2922515Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:52.2924773Z /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
2025-03-21T20:22:52.2927014Z   getattr_node = gm.graph.get_attr(lifted_node)
2025-03-21T20:22:52.2928936Z /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
2025-03-21T20:22:52.2931339Z   warnings.warn(
2025-03-21T20:22:52.2933132Z /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
2025-03-21T20:22:52.2935023Z   warnings.warn(
2025-03-21T20:22:52.2936813Z /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
2025-03-21T20:22:52.2938683Z   warnings.warn(
2025-03-21T20:22:52.2940480Z /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
2025-03-21T20:22:52.2942346Z   warnings.warn(
2025-03-21T20:22:52.2944138Z /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
2025-03-21T20:22:52.2946376Z   warnings.warn(
2025-03-21T20:22:52.2947396Z /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
2025-03-21T20:22:52.2948479Z   warnings.warn(
2025-03-21T20:22:52.2950369Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:52.2952302Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:52.2954156Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:52.2956103Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:52.2956664Z [INFO 2025-03-21 20:22:52,288 utils.py:50] Core ATen graph:
2025-03-21T20:22:52.2957171Z graph():
2025-03-21T20:22:52.2957777Z     %p_embeddings_layernorm_bias : [num_users=1] = placeholder[target=p_embeddings_layernorm_bias]
2025-03-21T20:22:52.2958819Z     %p_embeddings_layernorm_weight : [num_users=1] = placeholder[target=p_embeddings_layernorm_weight]
2025-03-21T20:22:52.2960286Z     %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]
2025-03-21T20:22:52.2962162Z     %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]
2025-03-21T20:22:52.2964250Z     %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]
2025-03-21T20:22:52.2965910Z     %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]
2025-03-21T20:22:52.2967693Z     %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]
2025-03-21T20:22:52.2969703Z     %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]
2025-03-21T20:22:52.2971617Z     %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]
2025-03-21T20:22:52.2973490Z     %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]
2025-03-21T20:22:52.2975414Z     %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]
2025-03-21T20:22:52.2977387Z     %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]
2025-03-21T20:22:52.2979357Z     %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]
2025-03-21T20:22:52.2981539Z     %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]
2025-03-21T20:22:52.2983529Z     %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]
2025-03-21T20:22:52.2985619Z     %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]
2025-03-21T20:22:52.2987641Z     %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]
2025-03-21T20:22:52.2989616Z     %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]
2025-03-21T20:22:52.2991547Z     %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]
2025-03-21T20:22:52.2993421Z     %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]
2025-03-21T20:22:52.2995176Z     %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]
2025-03-21T20:22:52.2996817Z     %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]
2025-03-21T20:22:52.2998596Z     %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]
2025-03-21T20:22:52.3000489Z     %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]
2025-03-21T20:22:52.3002366Z     %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]
2025-03-21T20:22:52.3004226Z     %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]
2025-03-21T20:22:52.3006146Z     %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]
2025-03-21T20:22:52.3008120Z     %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]
2025-03-21T20:22:52.3010180Z     %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]
2025-03-21T20:22:52.3012183Z     %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]
2025-03-21T20:22:52.3014168Z     %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]
2025-03-21T20:22:52.3016152Z     %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]
2025-03-21T20:22:52.3018377Z     %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]
2025-03-21T20:22:52.3020437Z     %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]
2025-03-21T20:22:52.3022397Z     %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]
2025-03-21T20:22:52.3024267Z     %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]
2025-03-21T20:22:52.3026030Z     %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]
2025-03-21T20:22:52.3027667Z     %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]
2025-03-21T20:22:52.3029606Z     %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]
2025-03-21T20:22:52.3031515Z     %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]
2025-03-21T20:22:52.3033375Z     %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]
2025-03-21T20:22:52.3035239Z     %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]
2025-03-21T20:22:52.3037171Z     %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]
2025-03-21T20:22:52.3039138Z     %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]
2025-03-21T20:22:52.3041092Z     %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]
2025-03-21T20:22:52.3043065Z     %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]
2025-03-21T20:22:52.3045036Z     %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]
2025-03-21T20:22:52.3047007Z     %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]
2025-03-21T20:22:52.3048978Z     %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]
2025-03-21T20:22:52.3051042Z     %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]
2025-03-21T20:22:52.3053319Z     %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]
2025-03-21T20:22:52.3055178Z     %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]
2025-03-21T20:22:52.3057078Z     %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]
2025-03-21T20:22:52.3058755Z     %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]
2025-03-21T20:22:52.3060521Z     %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]
2025-03-21T20:22:52.3062415Z     %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]
2025-03-21T20:22:52.3064292Z     %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]
2025-03-21T20:22:52.3066148Z     %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]
2025-03-21T20:22:52.3068063Z     %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]
2025-03-21T20:22:52.3070029Z     %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]
2025-03-21T20:22:52.3071997Z     %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]
2025-03-21T20:22:52.3073972Z     %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]
2025-03-21T20:22:52.3075945Z     %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]
2025-03-21T20:22:52.3077913Z     %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]
2025-03-21T20:22:52.3079893Z     %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]
2025-03-21T20:22:52.3081867Z     %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]
2025-03-21T20:22:52.3083779Z     %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]
2025-03-21T20:22:52.3085636Z     %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]
2025-03-21T20:22:52.3087564Z     %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]
2025-03-21T20:22:52.3089204Z     %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]
2025-03-21T20:22:52.3091183Z     %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]
2025-03-21T20:22:52.3093086Z     %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]
2025-03-21T20:22:52.3094957Z     %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]
2025-03-21T20:22:52.3096818Z     %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]
2025-03-21T20:22:52.3098722Z     %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]
2025-03-21T20:22:52.3100676Z     %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]
2025-03-21T20:22:52.3102634Z     %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]
2025-03-21T20:22:52.3104603Z     %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]
2025-03-21T20:22:52.3106581Z     %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]
2025-03-21T20:22:52.3108543Z     %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]
2025-03-21T20:22:52.3110513Z     %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]
2025-03-21T20:22:52.3112476Z     %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]
2025-03-21T20:22:52.3114396Z     %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]
2025-03-21T20:22:52.3116248Z     %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]
2025-03-21T20:22:52.3118004Z     %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]
2025-03-21T20:22:52.3119637Z     %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]
2025-03-21T20:22:52.3121394Z     %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]
2025-03-21T20:22:52.3123472Z     %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]
2025-03-21T20:22:52.3125346Z     %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]
2025-03-21T20:22:52.3127313Z     %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]
2025-03-21T20:22:52.3129474Z     %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]
2025-03-21T20:22:52.3131478Z     %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]
2025-03-21T20:22:52.3133425Z     %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]
2025-03-21T20:22:52.3135390Z     %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]
2025-03-21T20:22:52.3137350Z     %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]
2025-03-21T20:22:52.3139307Z     %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]
2025-03-21T20:22:52.3141271Z     %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]
2025-03-21T20:22:52.3143240Z     %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]
2025-03-21T20:22:52.3145143Z     %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]
2025-03-21T20:22:52.3147000Z     %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]
2025-03-21T20:22:52.3148746Z     %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]
2025-03-21T20:22:52.3150416Z     %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]
2025-03-21T20:22:52.3152389Z     %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]
2025-03-21T20:22:52.3154296Z     %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]
2025-03-21T20:22:52.3156167Z     %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]
2025-03-21T20:22:52.3158355Z     %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]
2025-03-21T20:22:52.3160263Z     %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]
2025-03-21T20:22:52.3162360Z     %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]
2025-03-21T20:22:52.3164365Z     %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]
2025-03-21T20:22:52.3166328Z     %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]
2025-03-21T20:22:52.3168300Z     %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]
2025-03-21T20:22:52.3170377Z     %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]
2025-03-21T20:22:52.3172362Z     %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]
2025-03-21T20:22:52.3174345Z     %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]
2025-03-21T20:22:52.3176268Z     %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]
2025-03-21T20:22:52.3178134Z     %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]
2025-03-21T20:22:52.3179888Z     %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]
2025-03-21T20:22:52.3181824Z     %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]
2025-03-21T20:22:52.3183590Z     %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]
2025-03-21T20:22:52.3185497Z     %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]
2025-03-21T20:22:52.3187372Z     %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]
2025-03-21T20:22:52.3189239Z     %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]
2025-03-21T20:22:52.3191155Z     %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]
2025-03-21T20:22:52.3193111Z     %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]
2025-03-21T20:22:52.3195311Z     %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]
2025-03-21T20:22:52.3197377Z     %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]
2025-03-21T20:22:52.3199393Z     %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]
2025-03-21T20:22:52.3201369Z     %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]
2025-03-21T20:22:52.3203357Z     %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]
2025-03-21T20:22:52.3205335Z     %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]
2025-03-21T20:22:52.3207262Z     %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]
2025-03-21T20:22:52.3209129Z     %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]
2025-03-21T20:22:52.3211002Z     %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]
2025-03-21T20:22:52.3212655Z     %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]
2025-03-21T20:22:52.3214420Z     %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]
2025-03-21T20:22:52.3216315Z     %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]
2025-03-21T20:22:52.3218195Z     %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]
2025-03-21T20:22:52.3220061Z     %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]
2025-03-21T20:22:52.3221976Z     %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]
2025-03-21T20:22:52.3223946Z     %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]
2025-03-21T20:22:52.3225922Z     %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]
2025-03-21T20:22:52.3227902Z     %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]
2025-03-21T20:22:52.3230321Z     %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]
2025-03-21T20:22:52.3232306Z     %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]
2025-03-21T20:22:52.3234512Z     %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]
2025-03-21T20:22:52.3236522Z     %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]
2025-03-21T20:22:52.3238443Z     %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]
2025-03-21T20:22:52.3240335Z     %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]
2025-03-21T20:22:52.3242103Z     %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]
2025-03-21T20:22:52.3243732Z     %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]
2025-03-21T20:22:52.3245498Z     %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]
2025-03-21T20:22:52.3247389Z     %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]
2025-03-21T20:22:52.3249261Z     %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]
2025-03-21T20:22:52.3251215Z     %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]
2025-03-21T20:22:52.3253136Z     %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]
2025-03-21T20:22:52.3255091Z     %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]
2025-03-21T20:22:52.3257057Z     %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]
2025-03-21T20:22:52.3259038Z     %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]
2025-03-21T20:22:52.3261011Z     %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]
2025-03-21T20:22:52.3262981Z     %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]
2025-03-21T20:22:52.3265253Z     %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]
2025-03-21T20:22:52.3267218Z     %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]
2025-03-21T20:22:52.3269258Z     %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]
2025-03-21T20:22:52.3271165Z     %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]
2025-03-21T20:22:52.3272925Z     %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]
2025-03-21T20:22:52.3274578Z     %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]
2025-03-21T20:22:52.3276353Z     %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]
2025-03-21T20:22:52.3278255Z     %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]
2025-03-21T20:22:52.3280140Z     %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]
2025-03-21T20:22:52.3282019Z     %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]
2025-03-21T20:22:52.3283949Z     %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]
2025-03-21T20:22:52.3286172Z     %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]
2025-03-21T20:22:52.3288142Z     %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]
2025-03-21T20:22:52.3290265Z     %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]
2025-03-21T20:22:52.3292286Z     %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]
2025-03-21T20:22:52.3294273Z     %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]
2025-03-21T20:22:52.3296265Z     %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]
2025-03-21T20:22:52.3298255Z     %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]
2025-03-21T20:22:52.3300365Z     %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]
2025-03-21T20:22:52.3302259Z     %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]
2025-03-21T20:22:52.3304124Z     %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]
2025-03-21T20:22:52.3305821Z     %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]
2025-03-21T20:22:52.3307614Z     %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]
2025-03-21T20:22:52.3309523Z     %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]
2025-03-21T20:22:52.3311407Z     %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]
2025-03-21T20:22:52.3313290Z     %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]
2025-03-21T20:22:52.3315227Z     %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]
2025-03-21T20:22:52.3317203Z     %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]
2025-03-21T20:22:52.3319184Z     %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]
2025-03-21T20:22:52.3321175Z     %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]
2025-03-21T20:22:52.3323165Z     %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]
2025-03-21T20:22:52.3325148Z     %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]
2025-03-21T20:22:52.3327142Z     %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]
2025-03-21T20:22:52.3329133Z     %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]
2025-03-21T20:22:52.3331353Z     %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]
2025-03-21T20:22:52.3333232Z     %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]
2025-03-21T20:22:52.3335131Z     %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]
2025-03-21T20:22:52.3337095Z     %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]
2025-03-21T20:22:52.3338885Z     %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]
2025-03-21T20:22:52.3340960Z     %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]
2025-03-21T20:22:52.3342892Z     %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]
2025-03-21T20:22:52.3344775Z     %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]
2025-03-21T20:22:52.3346828Z     %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]
2025-03-21T20:22:52.3348806Z     %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]
2025-03-21T20:22:52.3350783Z     %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]
2025-03-21T20:22:52.3352765Z     %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]
2025-03-21T20:22:52.3354761Z     %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]
2025-03-21T20:22:52.3356734Z     %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]
2025-03-21T20:22:52.3358724Z     %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]
2025-03-21T20:22:52.3360707Z     %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]
2025-03-21T20:22:52.3362647Z     %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]
2025-03-21T20:22:52.3364525Z     %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]
2025-03-21T20:22:52.3366287Z     %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]
2025-03-21T20:22:52.3367948Z     %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]
2025-03-21T20:22:52.3369868Z     %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]
2025-03-21T20:22:52.3371964Z     %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]
2025-03-21T20:22:52.3373857Z     %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]
2025-03-21T20:22:52.3375870Z     %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]
2025-03-21T20:22:52.3377959Z     %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]
2025-03-21T20:22:52.3399097Z     %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]
2025-03-21T20:22:52.3401123Z     %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]
2025-03-21T20:22:52.3403139Z     %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]
2025-03-21T20:22:52.3405131Z     %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]
2025-03-21T20:22:52.3407123Z     %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]
2025-03-21T20:22:52.3409117Z     %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]
2025-03-21T20:22:52.3411204Z     %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]
2025-03-21T20:22:52.3413141Z     %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]
2025-03-21T20:22:52.3415017Z     %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]
2025-03-21T20:22:52.3416782Z     %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]
2025-03-21T20:22:52.3418433Z     %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]
2025-03-21T20:22:52.3420204Z     %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]
2025-03-21T20:22:52.3422110Z     %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]
2025-03-21T20:22:52.3423999Z     %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]
2025-03-21T20:22:52.3426225Z     %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]
2025-03-21T20:22:52.3428151Z     %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]
2025-03-21T20:22:52.3430703Z     %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]
2025-03-21T20:22:52.3432714Z     %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]
2025-03-21T20:22:52.3434708Z     %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]
2025-03-21T20:22:52.3436710Z     %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]
2025-03-21T20:22:52.3438843Z     %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]
2025-03-21T20:22:52.3440832Z     %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]
2025-03-21T20:22:52.3442824Z     %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]
2025-03-21T20:22:52.3444753Z     %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]
2025-03-21T20:22:52.3446633Z     %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]
2025-03-21T20:22:52.3448400Z     %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]
2025-03-21T20:22:52.3450144Z     %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]
2025-03-21T20:22:52.3451923Z     %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]
2025-03-21T20:22:52.3453821Z     %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]
2025-03-21T20:22:52.3455706Z     %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]
2025-03-21T20:22:52.3457575Z     %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]
2025-03-21T20:22:52.3459502Z     %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]
2025-03-21T20:22:52.3461464Z     %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]
2025-03-21T20:22:52.3463725Z     %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]
2025-03-21T20:22:52.3465813Z     %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]
2025-03-21T20:22:52.3467873Z     %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]
2025-03-21T20:22:52.3469975Z     %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]
2025-03-21T20:22:52.3472015Z     %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]
2025-03-21T20:22:52.3474006Z     %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]
2025-03-21T20:22:52.3475948Z     %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]
2025-03-21T20:22:52.3477834Z     %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]
2025-03-21T20:22:52.3479609Z     %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]
2025-03-21T20:22:52.3481272Z     %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]
2025-03-21T20:22:52.3483088Z     %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]
2025-03-21T20:22:52.3484999Z     %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]
2025-03-21T20:22:52.3486894Z     %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]
2025-03-21T20:22:52.3488785Z     %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]
2025-03-21T20:22:52.3490804Z     %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]
2025-03-21T20:22:52.3492775Z     %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]
2025-03-21T20:22:52.3494743Z     %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]
2025-03-21T20:22:52.3496717Z     %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]
2025-03-21T20:22:52.3498860Z     %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]
2025-03-21T20:22:52.3501001Z     %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]
2025-03-21T20:22:52.3503020Z     %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]
2025-03-21T20:22:52.3505018Z     %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]
2025-03-21T20:22:52.3506959Z     %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]
2025-03-21T20:22:52.3508838Z     %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]
2025-03-21T20:22:52.3510604Z     %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]
2025-03-21T20:22:52.3512258Z     %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]
2025-03-21T20:22:52.3514031Z     %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]
2025-03-21T20:22:52.3515941Z     %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]
2025-03-21T20:22:52.3517830Z     %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]
2025-03-21T20:22:52.3519714Z     %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]
2025-03-21T20:22:52.3521639Z     %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]
2025-03-21T20:22:52.3523624Z     %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]
2025-03-21T20:22:52.3525607Z     %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]
2025-03-21T20:22:52.3527604Z     %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]
2025-03-21T20:22:52.3529918Z     %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]
2025-03-21T20:22:52.3531910Z     %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]
2025-03-21T20:22:52.3534205Z     %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]
2025-03-21T20:22:52.3536374Z     %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]
2025-03-21T20:22:52.3538335Z     %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]
2025-03-21T20:22:52.3540212Z     %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]
2025-03-21T20:22:52.3541987Z     %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]
2025-03-21T20:22:52.3543643Z     %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]
2025-03-21T20:22:52.3545426Z     %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]
2025-03-21T20:22:52.3547329Z     %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]
2025-03-21T20:22:52.3549216Z     %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]
2025-03-21T20:22:52.3551097Z     %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]
2025-03-21T20:22:52.3553022Z     %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]
2025-03-21T20:22:52.3554996Z     %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]
2025-03-21T20:22:52.3556985Z     %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]
2025-03-21T20:22:52.3558972Z     %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]
2025-03-21T20:22:52.3560974Z     %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]
2025-03-21T20:22:52.3562966Z     %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]
2025-03-21T20:22:52.3564958Z     %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]
2025-03-21T20:22:52.3566947Z     %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]
2025-03-21T20:22:52.3569017Z     %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]
2025-03-21T20:22:52.3570998Z     %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]
2025-03-21T20:22:52.3572864Z     %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]
2025-03-21T20:22:52.3574557Z     %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]
2025-03-21T20:22:52.3576337Z     %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]
2025-03-21T20:22:52.3578253Z     %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]
2025-03-21T20:22:52.3580132Z     %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]
2025-03-21T20:22:52.3582015Z     %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]
2025-03-21T20:22:52.3583941Z     %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]
2025-03-21T20:22:52.3585922Z     %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]
2025-03-21T20:22:52.3587898Z     %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]
2025-03-21T20:22:52.3589890Z     %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]
2025-03-21T20:22:52.3591878Z     %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]
2025-03-21T20:22:52.3593869Z     %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]
2025-03-21T20:22:52.3595874Z     %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]
2025-03-21T20:22:52.3597863Z     %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]
2025-03-21T20:22:52.3599796Z     %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]
2025-03-21T20:22:52.3601671Z     %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]
2025-03-21T20:22:52.3603619Z     %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]
2025-03-21T20:22:52.3605262Z     %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]
2025-03-21T20:22:52.3607125Z     %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]
2025-03-21T20:22:52.3609070Z     %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]
2025-03-21T20:22:52.3611057Z     %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]
2025-03-21T20:22:52.3612932Z     %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]
2025-03-21T20:22:52.3614851Z     %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]
2025-03-21T20:22:52.3616817Z     %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]
2025-03-21T20:22:52.3618790Z     %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]
2025-03-21T20:22:52.3620774Z     %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]
2025-03-21T20:22:52.3622751Z     %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]
2025-03-21T20:22:52.3624729Z     %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]
2025-03-21T20:22:52.3626701Z     %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]
2025-03-21T20:22:52.3628680Z     %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]
2025-03-21T20:22:52.3630862Z     %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]
2025-03-21T20:22:52.3632731Z     %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]
2025-03-21T20:22:52.3634494Z     %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]
2025-03-21T20:22:52.3636132Z     %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]
2025-03-21T20:22:52.3637907Z     %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]
2025-03-21T20:22:52.3640155Z     %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]
2025-03-21T20:22:52.3642228Z     %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]
2025-03-21T20:22:52.3644136Z     %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]
2025-03-21T20:22:52.3646066Z     %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]
2025-03-21T20:22:52.3648041Z     %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]
2025-03-21T20:22:52.3650116Z     %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]
2025-03-21T20:22:52.3652191Z     %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]
2025-03-21T20:22:52.3654173Z     %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]
2025-03-21T20:22:52.3656153Z     %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]
2025-03-21T20:22:52.3658139Z     %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]
2025-03-21T20:22:52.3660124Z     %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]
2025-03-21T20:22:52.3662048Z     %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]
2025-03-21T20:22:52.3663917Z     %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]
2025-03-21T20:22:52.3665686Z     %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]
2025-03-21T20:22:52.3667338Z     %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]
2025-03-21T20:22:52.3669120Z     %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]
2025-03-21T20:22:52.3671020Z     %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]
2025-03-21T20:22:52.3672903Z     %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]
2025-03-21T20:22:52.3675021Z     %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]
2025-03-21T20:22:52.3676955Z     %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]
2025-03-21T20:22:52.3679016Z     %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]
2025-03-21T20:22:52.3681026Z     %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]
2025-03-21T20:22:52.3683016Z     %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]
2025-03-21T20:22:52.3685001Z     %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]
2025-03-21T20:22:52.3686989Z     %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]
2025-03-21T20:22:52.3688973Z     %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]
2025-03-21T20:22:52.3691050Z     %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]
2025-03-21T20:22:52.3693001Z     %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]
2025-03-21T20:22:52.3694887Z     %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]
2025-03-21T20:22:52.3696648Z     %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]
2025-03-21T20:22:52.3698299Z     %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]
2025-03-21T20:22:52.3700076Z     %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]
2025-03-21T20:22:52.3701980Z     %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]
2025-03-21T20:22:52.3703874Z     %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]
2025-03-21T20:22:52.3705748Z     %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]
2025-03-21T20:22:52.3707684Z     %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]
2025-03-21T20:22:52.3709903Z     %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]
2025-03-21T20:22:52.3711891Z     %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]
2025-03-21T20:22:52.3714021Z     %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]
2025-03-21T20:22:52.3716044Z     %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]
2025-03-21T20:22:52.3718032Z     %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]
2025-03-21T20:22:52.3720034Z     %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]
2025-03-21T20:22:52.3722032Z     %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]
2025-03-21T20:22:52.3723628Z     %p_embeddings_word_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_word_embeddings_weight]
2025-03-21T20:22:52.3724923Z     %p_embeddings_embedding_transformation_weight : [num_users=1] = placeholder[target=p_embeddings_embedding_transformation_weight]
2025-03-21T20:22:52.3726312Z     %p_embeddings_embedding_transformation_bias : [num_users=1] = placeholder[target=p_embeddings_embedding_transformation_bias]
2025-03-21T20:22:52.3727640Z     %p_embeddings_position_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_position_embeddings_weight]
2025-03-21T20:22:52.3728938Z     %p_embeddings_token_type_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_token_type_embeddings_weight]
2025-03-21T20:22:52.3730881Z     %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]
2025-03-21T20:22:52.3732637Z     %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]
2025-03-21T20:22:52.3734463Z     %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]
2025-03-21T20:22:52.3736325Z     %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]
2025-03-21T20:22:52.3738102Z     %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]
2025-03-21T20:22:52.3739813Z     %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]
2025-03-21T20:22:52.3741492Z     %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]
2025-03-21T20:22:52.3743147Z     %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]
2025-03-21T20:22:52.3745177Z     %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]
2025-03-21T20:22:52.3746886Z     %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]
2025-03-21T20:22:52.3748773Z     %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]
2025-03-21T20:22:52.3750570Z     %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]
2025-03-21T20:22:52.3752469Z     %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]
2025-03-21T20:22:52.3754511Z     %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]
2025-03-21T20:22:52.3756470Z     %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]
2025-03-21T20:22:52.3758351Z     %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]
2025-03-21T20:22:52.3760304Z     %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]
2025-03-21T20:22:52.3762332Z     %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]
2025-03-21T20:22:52.3764283Z     %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]
2025-03-21T20:22:52.3766164Z     %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]
2025-03-21T20:22:52.3768117Z     %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]
2025-03-21T20:22:52.3770243Z     %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]
2025-03-21T20:22:52.3772207Z     %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]
2025-03-21T20:22:52.3774085Z     %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]
2025-03-21T20:22:52.3775861Z     %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]
2025-03-21T20:22:52.3777550Z     %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]
2025-03-21T20:22:52.3779322Z     %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]
2025-03-21T20:22:52.3780870Z     %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]
2025-03-21T20:22:52.3782525Z     %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]
2025-03-21T20:22:52.3784396Z     %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]
2025-03-21T20:22:52.3786215Z     %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]
2025-03-21T20:22:52.3787977Z     %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]
2025-03-21T20:22:52.3789804Z     %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]
2025-03-21T20:22:52.3791665Z     %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]
2025-03-21T20:22:52.3793450Z     %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]
2025-03-21T20:22:52.3795167Z     %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]
2025-03-21T20:22:52.3796866Z     %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]
2025-03-21T20:22:52.3798528Z     %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]
2025-03-21T20:22:52.3800220Z     %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]
2025-03-21T20:22:52.3801931Z     %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]
2025-03-21T20:22:52.3803663Z     %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]
2025-03-21T20:22:52.3805434Z     %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]
2025-03-21T20:22:52.3807331Z     %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]
2025-03-21T20:22:52.3809454Z     %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]
2025-03-21T20:22:52.3811437Z     %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]
2025-03-21T20:22:52.3813314Z     %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]
2025-03-21T20:22:52.3815454Z     %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]
2025-03-21T20:22:52.3817568Z     %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]
2025-03-21T20:22:52.3819564Z     %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]
2025-03-21T20:22:52.3821440Z     %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]
2025-03-21T20:22:52.3823396Z     %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]
2025-03-21T20:22:52.3825426Z     %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]
2025-03-21T20:22:52.3827386Z     %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]
2025-03-21T20:22:52.3829541Z     %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]
2025-03-21T20:22:52.3831343Z     %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]
2025-03-21T20:22:52.3833030Z     %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]
2025-03-21T20:22:52.3834634Z     %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]
2025-03-21T20:22:52.3836177Z     %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]
2025-03-21T20:22:52.3837832Z     %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]
2025-03-21T20:22:52.3839605Z     %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]
2025-03-21T20:22:52.3841377Z     %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]
2025-03-21T20:22:52.3843116Z     %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]
2025-03-21T20:22:52.3844922Z     %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]
2025-03-21T20:22:52.3846775Z     %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]
2025-03-21T20:22:52.3848540Z     %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]
2025-03-21T20:22:52.3850647Z     %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]
2025-03-21T20:22:52.3852325Z     %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]
2025-03-21T20:22:52.3854163Z     %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]
2025-03-21T20:22:52.3855890Z     %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]
2025-03-21T20:22:52.3857601Z     %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]
2025-03-21T20:22:52.3859343Z     %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]
2025-03-21T20:22:52.3861102Z     %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]
2025-03-21T20:22:52.3862999Z     %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]
2025-03-21T20:22:52.3865032Z     %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]
2025-03-21T20:22:52.3866988Z     %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]
2025-03-21T20:22:52.3868864Z     %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]
2025-03-21T20:22:52.3870818Z     %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]
2025-03-21T20:22:52.3872849Z     %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]
2025-03-21T20:22:52.3874799Z     %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]
2025-03-21T20:22:52.3876685Z     %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]
2025-03-21T20:22:52.3878641Z     %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]
2025-03-21T20:22:52.3880671Z     %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]
2025-03-21T20:22:52.3882619Z     %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]
2025-03-21T20:22:52.3884626Z     %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]
2025-03-21T20:22:52.3886399Z     %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]
2025-03-21T20:22:52.3888171Z     %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]
2025-03-21T20:22:52.3889916Z     %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]
2025-03-21T20:22:52.3891480Z     %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]
2025-03-21T20:22:52.3893148Z     %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]
2025-03-21T20:22:52.3894925Z     %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]
2025-03-21T20:22:52.3896699Z     %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]
2025-03-21T20:22:52.3898454Z     %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]
2025-03-21T20:22:52.3900260Z     %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]
2025-03-21T20:22:52.3902118Z     %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]
2025-03-21T20:22:52.3903884Z     %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]
2025-03-21T20:22:52.3905594Z     %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]
2025-03-21T20:22:52.3907276Z     %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]
2025-03-21T20:22:52.3908932Z     %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]
2025-03-21T20:22:52.3910617Z     %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]
2025-03-21T20:22:52.3912319Z     %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]
2025-03-21T20:22:52.3914057Z     %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]
2025-03-21T20:22:52.3915810Z     %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]
2025-03-21T20:22:52.3917706Z     %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]
2025-03-21T20:22:52.3919916Z     %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]
2025-03-21T20:22:52.3921975Z     %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]
2025-03-21T20:22:52.3923884Z     %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]
2025-03-21T20:22:52.3925843Z     %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]
2025-03-21T20:22:52.3927886Z     %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]
2025-03-21T20:22:52.3930236Z     %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]
2025-03-21T20:22:52.3932124Z     %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]
2025-03-21T20:22:52.3934068Z     %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]
2025-03-21T20:22:52.3936085Z     %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]
2025-03-21T20:22:52.3938035Z     %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]
2025-03-21T20:22:52.3939907Z     %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]
2025-03-21T20:22:52.3941682Z     %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]
2025-03-21T20:22:52.3943359Z     %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]
2025-03-21T20:22:52.3944978Z     %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]
2025-03-21T20:22:52.3946516Z     %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]
2025-03-21T20:22:52.3948177Z     %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]
2025-03-21T20:22:52.3949956Z     %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]
2025-03-21T20:22:52.3951724Z     %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]
2025-03-21T20:22:52.3953752Z     %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]
2025-03-21T20:22:52.3955555Z     %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]
2025-03-21T20:22:52.3957579Z     %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]
2025-03-21T20:22:52.3959519Z     %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]
2025-03-21T20:22:52.3961338Z     %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]
2025-03-21T20:22:52.3963034Z     %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]
2025-03-21T20:22:52.3964693Z     %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]
2025-03-21T20:22:52.3966383Z     %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]
2025-03-21T20:22:52.3968092Z     %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]
2025-03-21T20:22:52.3969929Z     %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]
2025-03-21T20:22:52.3971718Z     %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]
2025-03-21T20:22:52.3973608Z     %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]
2025-03-21T20:22:52.3975637Z     %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]
2025-03-21T20:22:52.3977586Z     %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]
2025-03-21T20:22:52.3979455Z     %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]
2025-03-21T20:22:52.3981408Z     %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]
2025-03-21T20:22:52.3983433Z     %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]
2025-03-21T20:22:52.3985378Z     %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]
2025-03-21T20:22:52.3987245Z     %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]
2025-03-21T20:22:52.3989384Z     %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]
2025-03-21T20:22:52.3991410Z     %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]
2025-03-21T20:22:52.3993459Z     %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]
2025-03-21T20:22:52.3995368Z     %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]
2025-03-21T20:22:52.3997155Z     %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]
2025-03-21T20:22:52.3998856Z     %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]
2025-03-21T20:22:52.4000479Z     %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]
2025-03-21T20:22:52.4002035Z     %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]
2025-03-21T20:22:52.4003706Z     %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]
2025-03-21T20:22:52.4005499Z     %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]
2025-03-21T20:22:52.4007280Z     %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]
2025-03-21T20:22:52.4009044Z     %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]
2025-03-21T20:22:52.4010962Z     %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]
2025-03-21T20:22:52.4012817Z     %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]
2025-03-21T20:22:52.4014588Z     %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]
2025-03-21T20:22:52.4016301Z     %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]
2025-03-21T20:22:52.4017979Z     %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]
2025-03-21T20:22:52.4019634Z     %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]
2025-03-21T20:22:52.4021313Z     %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]
2025-03-21T20:22:52.4023016Z     %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]
2025-03-21T20:22:52.4024919Z     %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]
2025-03-21T20:22:52.4026790Z     %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]
2025-03-21T20:22:52.4028734Z     %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]
2025-03-21T20:22:52.4031063Z     %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]
2025-03-21T20:22:52.4033030Z     %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]
2025-03-21T20:22:52.4034897Z     %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]
2025-03-21T20:22:52.4036848Z     %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]
2025-03-21T20:22:52.4038871Z     %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]
2025-03-21T20:22:52.4040812Z     %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]
2025-03-21T20:22:52.4042916Z     %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]
2025-03-21T20:22:52.4044942Z     %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]
2025-03-21T20:22:52.4046968Z     %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]
2025-03-21T20:22:52.4048905Z     %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]
2025-03-21T20:22:52.4050864Z     %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]
2025-03-21T20:22:52.4052641Z     %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]
2025-03-21T20:22:52.4054324Z     %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]
2025-03-21T20:22:52.4055937Z     %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]
2025-03-21T20:22:52.4057476Z     %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]
2025-03-21T20:22:52.4059486Z     %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]
2025-03-21T20:22:52.4061265Z     %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]
2025-03-21T20:22:52.4063266Z     %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]
2025-03-21T20:22:52.4065055Z     %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]
2025-03-21T20:22:52.4066867Z     %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]
2025-03-21T20:22:52.4068722Z     %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]
2025-03-21T20:22:52.4070501Z     %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]
2025-03-21T20:22:52.4072212Z     %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]
2025-03-21T20:22:52.4073896Z     %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]
2025-03-21T20:22:52.4075556Z     %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]
2025-03-21T20:22:52.4077244Z     %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]
2025-03-21T20:22:52.4078949Z     %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]
2025-03-21T20:22:52.4080684Z     %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]
2025-03-21T20:22:52.4082442Z     %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]
2025-03-21T20:22:52.4084340Z     %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]
2025-03-21T20:22:52.4086369Z     %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]
2025-03-21T20:22:52.4088326Z     %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]
2025-03-21T20:22:52.4090311Z     %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]
2025-03-21T20:22:52.4092273Z     %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]
2025-03-21T20:22:52.4094465Z     %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]
2025-03-21T20:22:52.4096418Z     %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]
2025-03-21T20:22:52.4098382Z     %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]
2025-03-21T20:22:52.4100375Z     %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]
2025-03-21T20:22:52.4102407Z     %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]
2025-03-21T20:22:52.4104369Z     %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]
2025-03-21T20:22:52.4106251Z     %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]
2025-03-21T20:22:52.4108036Z     %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]
2025-03-21T20:22:52.4109727Z     %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]
2025-03-21T20:22:52.4111346Z     %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]
2025-03-21T20:22:52.4112898Z     %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]
2025-03-21T20:22:52.4114573Z     %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]
2025-03-21T20:22:52.4116364Z     %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]
2025-03-21T20:22:52.4118145Z     %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]
2025-03-21T20:22:52.4119922Z     %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]
2025-03-21T20:22:52.4121734Z     %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]
2025-03-21T20:22:52.4123604Z     %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]
2025-03-21T20:22:52.4125393Z     %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]
2025-03-21T20:22:52.4127111Z     %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]
2025-03-21T20:22:52.4128957Z     %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]
2025-03-21T20:22:52.4131186Z     %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]
2025-03-21T20:22:52.4133096Z     %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]
2025-03-21T20:22:52.4134841Z     %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]
2025-03-21T20:22:52.4136576Z     %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]
2025-03-21T20:22:52.4138347Z     %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]
2025-03-21T20:22:52.4140243Z     %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]
2025-03-21T20:22:52.4142283Z     %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]
2025-03-21T20:22:52.4144236Z     %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]
2025-03-21T20:22:52.4146110Z     %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]
2025-03-21T20:22:52.4148074Z     %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]
2025-03-21T20:22:52.4150101Z     %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]
2025-03-21T20:22:52.4152055Z     %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]
2025-03-21T20:22:52.4153929Z     %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]
2025-03-21T20:22:52.4155891Z     %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]
2025-03-21T20:22:52.4157913Z     %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]
2025-03-21T20:22:52.4159870Z     %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]
2025-03-21T20:22:52.4161749Z     %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]
2025-03-21T20:22:52.4163812Z     %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]
2025-03-21T20:22:52.4165500Z     %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]
2025-03-21T20:22:52.4167109Z     %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]
2025-03-21T20:22:52.4168748Z     %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]
2025-03-21T20:22:52.4170560Z     %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]
2025-03-21T20:22:52.4172347Z     %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]
2025-03-21T20:22:52.4174123Z     %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]
2025-03-21T20:22:52.4175884Z     %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]
2025-03-21T20:22:52.4177698Z     %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]
2025-03-21T20:22:52.4179553Z     %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]
2025-03-21T20:22:52.4181340Z     %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]
2025-03-21T20:22:52.4183036Z     %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]
2025-03-21T20:22:52.4184720Z     %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]
2025-03-21T20:22:52.4186369Z     %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]
2025-03-21T20:22:52.4188046Z     %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]
2025-03-21T20:22:52.4189746Z     %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]
2025-03-21T20:22:52.4191476Z     %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]
2025-03-21T20:22:52.4193236Z     %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]
2025-03-21T20:22:52.4195126Z     %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]
2025-03-21T20:22:52.4197157Z     %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]
2025-03-21T20:22:52.4199327Z     %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]
2025-03-21T20:22:52.4201206Z     %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]
2025-03-21T20:22:52.4203242Z     %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]
2025-03-21T20:22:52.4205308Z     %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]
2025-03-21T20:22:52.4207270Z     %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]
2025-03-21T20:22:52.4209150Z     %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]
2025-03-21T20:22:52.4211206Z     %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]
2025-03-21T20:22:52.4213235Z     %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]
2025-03-21T20:22:52.4215216Z     %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]
2025-03-21T20:22:52.4217095Z     %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]
2025-03-21T20:22:52.4218873Z     %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]
2025-03-21T20:22:52.4220560Z     %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]
2025-03-21T20:22:52.4222167Z     %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]
2025-03-21T20:22:52.4223705Z     %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]
2025-03-21T20:22:52.4225371Z     %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]
2025-03-21T20:22:52.4227213Z     %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]
2025-03-21T20:22:52.4228982Z     %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]
2025-03-21T20:22:52.4230990Z     %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]
2025-03-21T20:22:52.4232794Z     %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]
2025-03-21T20:22:52.4234954Z     %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]
2025-03-21T20:22:52.4236729Z     %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]
2025-03-21T20:22:52.4238595Z     %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]
2025-03-21T20:22:52.4240335Z     %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]
2025-03-21T20:22:52.4241992Z     %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]
2025-03-21T20:22:52.4243684Z     %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]
2025-03-21T20:22:52.4245390Z     %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]
2025-03-21T20:22:52.4247125Z     %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]
2025-03-21T20:22:52.4248888Z     %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]
2025-03-21T20:22:52.4250896Z     %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]
2025-03-21T20:22:52.4252948Z     %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]
2025-03-21T20:22:52.4254898Z     %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]
2025-03-21T20:22:52.4256776Z     %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]
2025-03-21T20:22:52.4258726Z     %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]
2025-03-21T20:22:52.4260759Z     %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]
2025-03-21T20:22:52.4262708Z     %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]
2025-03-21T20:22:52.4264586Z     %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]
2025-03-21T20:22:52.4266545Z     %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]
2025-03-21T20:22:52.4268717Z     %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]
2025-03-21T20:22:52.4270667Z     %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]
2025-03-21T20:22:52.4272637Z     %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]
2025-03-21T20:22:52.4274442Z     %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]
2025-03-21T20:22:52.4276123Z     %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]
2025-03-21T20:22:52.4277737Z     %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]
2025-03-21T20:22:52.4279278Z     %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]
2025-03-21T20:22:52.4280946Z     %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]
2025-03-21T20:22:52.4282725Z     %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]
2025-03-21T20:22:52.4284497Z     %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]
2025-03-21T20:22:52.4286269Z     %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]
2025-03-21T20:22:52.4288088Z     %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]
2025-03-21T20:22:52.4290046Z     %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]
2025-03-21T20:22:52.4291842Z     %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]
2025-03-21T20:22:52.4293560Z     %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]
2025-03-21T20:22:52.4295261Z     %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]
2025-03-21T20:22:52.4296927Z     %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]
2025-03-21T20:22:52.4298619Z     %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]
2025-03-21T20:22:52.4300334Z     %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]
2025-03-21T20:22:52.4302072Z     %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]
2025-03-21T20:22:52.4304004Z     %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]
2025-03-21T20:22:52.4305910Z     %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]
2025-03-21T20:22:52.4308038Z     %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]
2025-03-21T20:22:52.4310075Z     %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]
2025-03-21T20:22:52.4311966Z     %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]
2025-03-21T20:22:52.4313932Z     %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]
2025-03-21T20:22:52.4315979Z     %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]
2025-03-21T20:22:52.4317951Z     %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]
2025-03-21T20:22:52.4319841Z     %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]
2025-03-21T20:22:52.4321821Z     %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]
2025-03-21T20:22:52.4323869Z     %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]
2025-03-21T20:22:52.4325834Z     %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]
2025-03-21T20:22:52.4327723Z     %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]
2025-03-21T20:22:52.4329886Z     %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]
2025-03-21T20:22:52.4331618Z     %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]
2025-03-21T20:22:52.4333255Z     %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]
2025-03-21T20:22:52.4334814Z     %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]
2025-03-21T20:22:52.4336493Z     %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]
2025-03-21T20:22:52.4338613Z     %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]
2025-03-21T20:22:52.4340398Z     %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]
2025-03-21T20:22:52.4342305Z     %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]
2025-03-21T20:22:52.4344166Z     %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]
2025-03-21T20:22:52.4346036Z     %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]
2025-03-21T20:22:52.4347839Z     %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]
2025-03-21T20:22:52.4349558Z     %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]
2025-03-21T20:22:52.4351266Z     %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]
2025-03-21T20:22:52.4352929Z     %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]
2025-03-21T20:22:52.4354625Z     %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]
2025-03-21T20:22:52.4356357Z     %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]
2025-03-21T20:22:52.4358101Z     %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]
2025-03-21T20:22:52.4359888Z     %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]
2025-03-21T20:22:52.4361800Z     %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]
2025-03-21T20:22:52.4363844Z     %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]
2025-03-21T20:22:52.4365821Z     %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]
2025-03-21T20:22:52.4367727Z     %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]
2025-03-21T20:22:52.4369805Z     %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]
2025-03-21T20:22:52.4371888Z     %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]
2025-03-21T20:22:52.4374014Z     %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]
2025-03-21T20:22:52.4375899Z     %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]
2025-03-21T20:22:52.4377963Z     %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]
2025-03-21T20:22:52.4380077Z     %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]
2025-03-21T20:22:52.4382056Z     %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]
2025-03-21T20:22:52.4383960Z     %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]
2025-03-21T20:22:52.4385763Z     %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]
2025-03-21T20:22:52.4387471Z     %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]
2025-03-21T20:22:52.4389105Z     %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]
2025-03-21T20:22:52.4390674Z     %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]
2025-03-21T20:22:52.4392357Z     %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]
2025-03-21T20:22:52.4394162Z     %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]
2025-03-21T20:22:52.4395944Z     %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]
2025-03-21T20:22:52.4397715Z     %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]
2025-03-21T20:22:52.4399552Z     %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]
2025-03-21T20:22:52.4401431Z     %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]
2025-03-21T20:22:52.4403235Z     %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]
2025-03-21T20:22:52.4404961Z     %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]
2025-03-21T20:22:52.4406664Z     %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]
2025-03-21T20:22:52.4408516Z     %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]
2025-03-21T20:22:52.4410331Z     %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]
2025-03-21T20:22:52.4412160Z     %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]
2025-03-21T20:22:52.4413945Z     %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]
2025-03-21T20:22:52.4415718Z     %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]
2025-03-21T20:22:52.4417640Z     %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]
2025-03-21T20:22:52.4419680Z     %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]
2025-03-21T20:22:52.4421634Z     %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]
2025-03-21T20:22:52.4423525Z     %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]
2025-03-21T20:22:52.4425495Z     %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]
2025-03-21T20:22:52.4427538Z     %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]
2025-03-21T20:22:52.4429804Z     %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]
2025-03-21T20:22:52.4431706Z     %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]
2025-03-21T20:22:52.4433664Z     %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]
2025-03-21T20:22:52.4435700Z     %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]
2025-03-21T20:22:52.4437665Z     %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]
2025-03-21T20:22:52.4439538Z     %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]
2025-03-21T20:22:52.4441323Z     %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]
2025-03-21T20:22:52.4443351Z     %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]
2025-03-21T20:22:52.4444986Z     %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]
2025-03-21T20:22:52.4446734Z     %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]
2025-03-21T20:22:52.4448448Z     %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]
2025-03-21T20:22:52.4450348Z     %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]
2025-03-21T20:22:52.4452139Z     %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]
2025-03-21T20:22:52.4453905Z     %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]
2025-03-21T20:22:52.4455732Z     %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]
2025-03-21T20:22:52.4457596Z     %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]
2025-03-21T20:22:52.4459382Z     %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]
2025-03-21T20:22:52.4461106Z     %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]
2025-03-21T20:22:52.4462799Z     %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]
2025-03-21T20:22:52.4464466Z     %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]
2025-03-21T20:22:52.4466159Z     %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]
2025-03-21T20:22:52.4467873Z     %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]
2025-03-21T20:22:52.4469622Z     %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]
2025-03-21T20:22:52.4471386Z     %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]
2025-03-21T20:22:52.4473303Z     %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]
2025-03-21T20:22:52.4475355Z     %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]
2025-03-21T20:22:52.4477492Z     %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]
2025-03-21T20:22:52.4479375Z     %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]
2025-03-21T20:22:52.4481430Z     %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]
2025-03-21T20:22:52.4483515Z     %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]
2025-03-21T20:22:52.4485477Z     %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]
2025-03-21T20:22:52.4487372Z     %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]
2025-03-21T20:22:52.4489452Z     %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]
2025-03-21T20:22:52.4491514Z     %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]
2025-03-21T20:22:52.4493476Z     %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]
2025-03-21T20:22:52.4495367Z     %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]
2025-03-21T20:22:52.4497155Z     %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]
2025-03-21T20:22:52.4498859Z     %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]
2025-03-21T20:22:52.4500484Z     %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]
2025-03-21T20:22:52.4502044Z     %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]
2025-03-21T20:22:52.4503735Z     %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]
2025-03-21T20:22:52.4505525Z     %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]
2025-03-21T20:22:52.4507310Z     %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]
2025-03-21T20:22:52.4509070Z     %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]
2025-03-21T20:22:52.4510894Z     %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]
2025-03-21T20:22:52.4512935Z     %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]
2025-03-21T20:22:52.4514743Z     %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]
2025-03-21T20:22:52.4516563Z     %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]
2025-03-21T20:22:52.4518302Z     %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]
2025-03-21T20:22:52.4519982Z     %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]
2025-03-21T20:22:52.4521687Z     %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]
2025-03-21T20:22:52.4523440Z     %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]
2025-03-21T20:22:52.4525192Z     %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]
2025-03-21T20:22:52.4526976Z     %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]
2025-03-21T20:22:52.4528886Z     %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]
2025-03-21T20:22:52.4531280Z     %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]
2025-03-21T20:22:52.4533254Z     %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]
2025-03-21T20:22:52.4535142Z     %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]
2025-03-21T20:22:52.4537110Z     %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]
2025-03-21T20:22:52.4539163Z     %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]
2025-03-21T20:22:52.4541130Z     %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]
2025-03-21T20:22:52.4543020Z     %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]
2025-03-21T20:22:52.4544992Z     %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]
2025-03-21T20:22:52.4547358Z     %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]
2025-03-21T20:22:52.4549312Z     %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]
2025-03-21T20:22:52.4551360Z     %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]
2025-03-21T20:22:52.4553204Z     %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]
2025-03-21T20:22:52.4554915Z     %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]
2025-03-21T20:22:52.4556552Z     %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]
2025-03-21T20:22:52.4558114Z     %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]
2025-03-21T20:22:52.4559799Z     %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]
2025-03-21T20:22:52.4561593Z     %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]
2025-03-21T20:22:52.4563377Z     %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]
2025-03-21T20:22:52.4565160Z     %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]
2025-03-21T20:22:52.4566982Z     %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]
2025-03-21T20:22:52.4568857Z     %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]
2025-03-21T20:22:52.4570779Z     %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]
2025-03-21T20:22:52.4572517Z     %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]
2025-03-21T20:22:52.4574229Z     %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]
2025-03-21T20:22:52.4575901Z     %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]
2025-03-21T20:22:52.4577601Z     %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]
2025-03-21T20:22:52.4579316Z     %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]
2025-03-21T20:22:52.4581063Z     %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]
2025-03-21T20:22:52.4583024Z     %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]
2025-03-21T20:22:52.4584939Z     %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]
2025-03-21T20:22:52.4587112Z     %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]
2025-03-21T20:22:52.4589118Z     %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]
2025-03-21T20:22:52.4591008Z     %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]
2025-03-21T20:22:52.4592970Z     %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]
2025-03-21T20:22:52.4595020Z     %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]
2025-03-21T20:22:52.4597053Z     %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]
2025-03-21T20:22:52.4598940Z     %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]
2025-03-21T20:22:52.4600919Z     %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]
2025-03-21T20:22:52.4602953Z     %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]
2025-03-21T20:22:52.4604916Z     %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]
2025-03-21T20:22:52.4606799Z     %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]
2025-03-21T20:22:52.4608598Z     %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]
2025-03-21T20:22:52.4610413Z     %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]
2025-03-21T20:22:52.4612468Z     %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]
2025-03-21T20:22:52.4614029Z     %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]
2025-03-21T20:22:52.4615704Z     %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]
2025-03-21T20:22:52.4617742Z     %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]
2025-03-21T20:22:52.4619521Z     %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]
2025-03-21T20:22:52.4621371Z     %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]
2025-03-21T20:22:52.4623234Z     %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]
2025-03-21T20:22:52.4625111Z     %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]
2025-03-21T20:22:52.4626913Z     %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]
2025-03-21T20:22:52.4628632Z     %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]
2025-03-21T20:22:52.4630623Z     %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]
2025-03-21T20:22:52.4632305Z     %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]
2025-03-21T20:22:52.4634006Z     %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]
2025-03-21T20:22:52.4635735Z     %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]
2025-03-21T20:22:52.4637480Z     %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]
2025-03-21T20:22:52.4639251Z     %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]
2025-03-21T20:22:52.4641155Z     %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]
2025-03-21T20:22:52.4643199Z     %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]
2025-03-21T20:22:52.4645155Z     %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]
2025-03-21T20:22:52.4647044Z     %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]
2025-03-21T20:22:52.4649005Z     %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]
2025-03-21T20:22:52.4651130Z     %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]
2025-03-21T20:22:52.4653401Z     %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]
2025-03-21T20:22:52.4655287Z     %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]
2025-03-21T20:22:52.4657413Z     %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]
2025-03-21T20:22:52.4659542Z     %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]
2025-03-21T20:22:52.4661526Z     %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]
2025-03-21T20:22:52.4663421Z     %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]
2025-03-21T20:22:52.4665229Z     %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]
2025-03-21T20:22:52.4666933Z     %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]
2025-03-21T20:22:52.4668567Z     %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]
2025-03-21T20:22:52.4670140Z     %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]
2025-03-21T20:22:52.4671823Z     %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]
2025-03-21T20:22:52.4673636Z     %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]
2025-03-21T20:22:52.4675431Z     %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]
2025-03-21T20:22:52.4677208Z     %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]
2025-03-21T20:22:52.4679042Z     %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]
2025-03-21T20:22:52.4680923Z     %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]
2025-03-21T20:22:52.4682729Z     %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]
2025-03-21T20:22:52.4684454Z     %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]
2025-03-21T20:22:52.4686157Z     %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]
2025-03-21T20:22:52.4688001Z     %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]
2025-03-21T20:22:52.4689799Z     %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]
2025-03-21T20:22:52.4691636Z     %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]
2025-03-21T20:22:52.4693426Z     %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]
2025-03-21T20:22:52.4695190Z     %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]
2025-03-21T20:22:52.4697101Z     %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]
2025-03-21T20:22:52.4699143Z     %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]
2025-03-21T20:22:52.4701098Z     %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]
2025-03-21T20:22:52.4702981Z     %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]
2025-03-21T20:22:52.4704944Z     %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]
2025-03-21T20:22:52.4719820Z     %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]
2025-03-21T20:22:52.4721829Z     %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]
2025-03-21T20:22:52.4723721Z     %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]
2025-03-21T20:22:52.4725683Z     %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]
2025-03-21T20:22:52.4727732Z     %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]
2025-03-21T20:22:52.4730138Z     %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]
2025-03-21T20:22:52.4732035Z     %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]
2025-03-21T20:22:52.4733824Z     %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]
2025-03-21T20:22:52.4736002Z     %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]
2025-03-21T20:22:52.4737635Z     %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]
2025-03-21T20:22:52.4739380Z     %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]
2025-03-21T20:22:52.4741088Z     %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]
2025-03-21T20:22:52.4742883Z     %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]
2025-03-21T20:22:52.4744673Z     %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]
2025-03-21T20:22:52.4746443Z     %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]
2025-03-21T20:22:52.4748274Z     %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]
2025-03-21T20:22:52.4750143Z     %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]
2025-03-21T20:22:52.4751939Z     %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]
2025-03-21T20:22:52.4753669Z     %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]
2025-03-21T20:22:52.4755366Z     %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]
2025-03-21T20:22:52.4757037Z     %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]
2025-03-21T20:22:52.4758737Z     %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]
2025-03-21T20:22:52.4760465Z     %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]
2025-03-21T20:22:52.4762219Z     %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]
2025-03-21T20:22:52.4764000Z     %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]
2025-03-21T20:22:52.4765919Z     %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]
2025-03-21T20:22:52.4767980Z     %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]
2025-03-21T20:22:52.4770199Z     %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]
2025-03-21T20:22:52.4772079Z     %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]
2025-03-21T20:22:52.4774141Z     %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]
2025-03-21T20:22:52.4776228Z     %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]
2025-03-21T20:22:52.4778190Z     %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]
2025-03-21T20:22:52.4780090Z     %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]
2025-03-21T20:22:52.4782061Z     %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]
2025-03-21T20:22:52.4784104Z     %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]
2025-03-21T20:22:52.4786064Z     %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]
2025-03-21T20:22:52.4787958Z     %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]
2025-03-21T20:22:52.4789765Z     %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]
2025-03-21T20:22:52.4791477Z     %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]
2025-03-21T20:22:52.4793105Z     %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]
2025-03-21T20:22:52.4794668Z     %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]
2025-03-21T20:22:52.4796355Z     %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]
2025-03-21T20:22:52.4798156Z     %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]
2025-03-21T20:22:52.4799942Z     %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]
2025-03-21T20:22:52.4801720Z     %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]
2025-03-21T20:22:52.4803555Z     %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]
2025-03-21T20:22:52.4805590Z     %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]
2025-03-21T20:22:52.4807394Z     %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]
2025-03-21T20:22:52.4809212Z     %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]
2025-03-21T20:22:52.4811026Z     %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]
2025-03-21T20:22:52.4812708Z     %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]
2025-03-21T20:22:52.4814417Z     %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]
2025-03-21T20:22:52.4816138Z     %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]
2025-03-21T20:22:52.4817884Z     %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]
2025-03-21T20:22:52.4819651Z     %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]
2025-03-21T20:22:52.4821554Z     %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]
2025-03-21T20:22:52.4823599Z     %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]
2025-03-21T20:22:52.4825561Z     %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]
2025-03-21T20:22:52.4827445Z     %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]
2025-03-21T20:22:52.4829745Z     %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]
2025-03-21T20:22:52.4831808Z     %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]
2025-03-21T20:22:52.4832691Z     %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]
2025-03-21T20:22:52.4833567Z     %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]
2025-03-21T20:22:52.4834524Z     %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]
2025-03-21T20:22:52.4835777Z     %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]
2025-03-21T20:22:52.4836664Z     %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]
2025-03-21T20:22:52.4837677Z     %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]
2025-03-21T20:22:52.4838482Z     %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]
2025-03-21T20:22:52.4839251Z     %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]
2025-03-21T20:22:52.4839979Z     %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]
2025-03-21T20:22:52.4840670Z     %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]
2025-03-21T20:22:52.4841520Z     %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]
2025-03-21T20:22:52.4842330Z     %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]
2025-03-21T20:22:52.4843159Z     %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]
2025-03-21T20:22:52.4843964Z     %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]
2025-03-21T20:22:52.4844851Z     %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]
2025-03-21T20:22:52.4845703Z     %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]
2025-03-21T20:22:52.4846505Z     %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]
2025-03-21T20:22:52.4847276Z     %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]
2025-03-21T20:22:52.4848062Z     %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]
2025-03-21T20:22:52.4848808Z     %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]
2025-03-21T20:22:52.4849701Z     %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]
2025-03-21T20:22:52.4850480Z     %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]
2025-03-21T20:22:52.4851303Z     %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]
2025-03-21T20:22:52.4852242Z     %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]
2025-03-21T20:22:52.4853326Z     %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]
2025-03-21T20:22:52.4854293Z     %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]
2025-03-21T20:22:52.4855187Z     %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]
2025-03-21T20:22:52.4856054Z     %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]
2025-03-21T20:22:52.4857024Z     %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]
2025-03-21T20:22:52.4857959Z     %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]
2025-03-21T20:22:52.4858845Z     %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]
2025-03-21T20:22:52.4859700Z     %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]
2025-03-21T20:22:52.4860674Z     %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]
2025-03-21T20:22:52.4861609Z     %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]
2025-03-21T20:22:52.4862495Z     %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]
2025-03-21T20:22:52.4863351Z     %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]
2025-03-21T20:22:52.4864152Z     %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]
2025-03-21T20:22:52.4864913Z     %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]
2025-03-21T20:22:52.4865641Z     %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]
2025-03-21T20:22:52.4866331Z     %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]
2025-03-21T20:22:52.4867181Z     %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]
2025-03-21T20:22:52.4868102Z     %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]
2025-03-21T20:22:52.4868932Z     %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]
2025-03-21T20:22:52.4869820Z     %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]
2025-03-21T20:22:52.4870724Z     %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]
2025-03-21T20:22:52.4871576Z     %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]
2025-03-21T20:22:52.4872378Z     %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]
2025-03-21T20:22:52.4873157Z     %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]
2025-03-21T20:22:52.4873931Z     %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]
2025-03-21T20:22:52.4874687Z     %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]
2025-03-21T20:22:52.4875480Z     %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]
2025-03-21T20:22:52.4876261Z     %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]
2025-03-21T20:22:52.4877078Z     %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]
2025-03-21T20:22:52.4877885Z     %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]
2025-03-21T20:22:52.4878850Z     %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]
2025-03-21T20:22:52.4879791Z     %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]
2025-03-21T20:22:52.4880666Z     %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]
2025-03-21T20:22:52.4881537Z     %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]
2025-03-21T20:22:52.4882497Z     %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]
2025-03-21T20:22:52.4883436Z     %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]
2025-03-21T20:22:52.4884474Z     %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]
2025-03-21T20:22:52.4885430Z     %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]
2025-03-21T20:22:52.4886431Z     %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]
2025-03-21T20:22:52.4887381Z     %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]
2025-03-21T20:22:52.4888271Z     %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]
2025-03-21T20:22:52.4889137Z     %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]
2025-03-21T20:22:52.4890030Z     %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]
2025-03-21T20:22:52.4890820Z     %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]
2025-03-21T20:22:52.4891546Z     %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]
2025-03-21T20:22:52.4892250Z     %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]
2025-03-21T20:22:52.4893091Z     %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]
2025-03-21T20:22:52.4893915Z     %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]
2025-03-21T20:22:52.4894741Z     %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]
2025-03-21T20:22:52.4895548Z     %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]
2025-03-21T20:22:52.4896430Z     %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]
2025-03-21T20:22:52.4897282Z     %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]
2025-03-21T20:22:52.4898084Z     %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]
2025-03-21T20:22:52.4898859Z     %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]
2025-03-21T20:22:52.4899634Z     %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]
2025-03-21T20:22:52.4900525Z     %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]
2025-03-21T20:22:52.4901322Z     %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]
2025-03-21T20:22:52.4902227Z     %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]
2025-03-21T20:22:52.4903064Z     %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]
2025-03-21T20:22:52.4903862Z     %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]
2025-03-21T20:22:52.4904834Z     %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]
2025-03-21T20:22:52.4905773Z     %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]
2025-03-21T20:22:52.4906662Z     %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]
2025-03-21T20:22:52.4907518Z     %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]
2025-03-21T20:22:52.4908485Z     %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]
2025-03-21T20:22:52.4909416Z     %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]
2025-03-21T20:22:52.4910313Z     %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]
2025-03-21T20:22:52.4911171Z     %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]
2025-03-21T20:22:52.4912143Z     %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]
2025-03-21T20:22:52.4913074Z     %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]
2025-03-21T20:22:52.4913963Z     %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]
2025-03-21T20:22:52.4914854Z     %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]
2025-03-21T20:22:52.4915648Z     %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]
2025-03-21T20:22:52.4916503Z     %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]
2025-03-21T20:22:52.4917222Z     %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]
2025-03-21T20:22:52.4917995Z     %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]
2025-03-21T20:22:52.4918847Z     %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]
2025-03-21T20:22:52.4919653Z     %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]
2025-03-21T20:22:52.4920486Z     %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]
2025-03-21T20:22:52.4921278Z     %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]
2025-03-21T20:22:52.4922163Z     %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]
2025-03-21T20:22:52.4923007Z     %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]
2025-03-21T20:22:52.4923804Z     %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]
2025-03-21T20:22:52.4924579Z     %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]
2025-03-21T20:22:52.4925354Z     %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]
2025-03-21T20:22:52.4926102Z     %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]
2025-03-21T20:22:52.4926906Z     %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]
2025-03-21T20:22:52.4927678Z     %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]
2025-03-21T20:22:52.4928508Z     %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]
2025-03-21T20:22:52.4929841Z     %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]
2025-03-21T20:22:52.4930834Z     %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]
2025-03-21T20:22:52.4931772Z     %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]
2025-03-21T20:22:52.4932916Z     %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]
2025-03-21T20:22:52.4933773Z     %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]
2025-03-21T20:22:52.4934885Z     %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]
2025-03-21T20:22:52.4935835Z     %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]
2025-03-21T20:22:52.4936720Z     %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]
2025-03-21T20:22:52.4937585Z     %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]
2025-03-21T20:22:52.4938553Z     %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]
2025-03-21T20:22:52.4939486Z     %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]
2025-03-21T20:22:52.4940374Z     %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]
2025-03-21T20:22:52.4941239Z     %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]
2025-03-21T20:22:52.4942032Z     %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]
2025-03-21T20:22:52.4942797Z     %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]
2025-03-21T20:22:52.4943528Z     %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]
2025-03-21T20:22:52.4944221Z     %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]
2025-03-21T20:22:52.4945066Z     %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]
2025-03-21T20:22:52.4945878Z     %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]
2025-03-21T20:22:52.4946274Z     %b_embeddings_position_ids : [num_users=1] = placeholder[target=b_embeddings_position_ids]
2025-03-21T20:22:52.4946938Z     %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]
2025-03-21T20:22:52.4947595Z     %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]
2025-03-21T20:22:52.4948255Z     %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]
2025-03-21T20:22:52.4949013Z     %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]
2025-03-21T20:22:52.4949679Z     %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]
2025-03-21T20:22:52.4950408Z     %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]
2025-03-21T20:22:52.4951097Z     %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]
2025-03-21T20:22:52.4951755Z     %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]
2025-03-21T20:22:52.4952426Z     %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]
2025-03-21T20:22:52.4953077Z     %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]
2025-03-21T20:22:52.4953764Z     %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]
2025-03-21T20:22:52.4954437Z     %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]
2025-03-21T20:22:52.4955115Z     %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]
2025-03-21T20:22:52.4955788Z     %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]
2025-03-21T20:22:52.4956475Z     %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]
2025-03-21T20:22:52.4957145Z     %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]
2025-03-21T20:22:52.4957821Z     %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]
2025-03-21T20:22:52.4958504Z     %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]
2025-03-21T20:22:52.4959173Z     %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]
2025-03-21T20:22:52.4959859Z     %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]
2025-03-21T20:22:52.4960527Z     %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]
2025-03-21T20:22:52.4961211Z     %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]
2025-03-21T20:22:52.4961883Z     %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]
2025-03-21T20:22:52.4962562Z     %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]
2025-03-21T20:22:52.4962976Z     %input_ids : [num_users=1] = placeholder[target=input_ids]
2025-03-21T20:22:52.4963569Z     %ones : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 8],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:52.4964248Z     %zeros : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 8],), kwargs = {dtype: torch.int64, device: cpu, pin_memory: False})
2025-03-21T20:22:52.4964923Z     %slice_1 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%ones, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4965501Z     %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%slice_1, 1), kwargs = {})
2025-03-21T20:22:52.4966071Z     %unsqueeze_1 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%unsqueeze, 2), kwargs = {})
2025-03-21T20:22:52.4966669Z     %slice_2 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%unsqueeze_1, 3, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4967161Z     %to : [num_users=1] = call_function[target=torch.ops.aten.to.dtype](args = (%slice_2, torch.float32), kwargs = {})
2025-03-21T20:22:52.4967624Z     %rsub : [num_users=1] = call_function[target=torch.ops.aten.rsub.Scalar](args = (%to, 1.0), kwargs = {})
2025-03-21T20:22:52.4968183Z     %mul : [num_users=24] = call_function[target=torch.ops.aten.mul.Tensor](args = (%rsub, -3.4028234663852886e+38), kwargs = {})
2025-03-21T20:22:52.4968864Z     %slice_3 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%b_embeddings_position_ids, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4969475Z     %slice_4 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_3, 1, 0, 8), kwargs = {})
2025-03-21T20:22:52.4970238Z     %embedding : [num_users=3] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_word_embeddings_weight, %input_ids, 0), kwargs = {})
2025-03-21T20:22:52.4970834Z     %slice_5 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%embedding, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4971409Z     %slice_6 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_5, 1, 1, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4971983Z     %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 = {})
2025-03-21T20:22:52.4972582Z     %slice_7 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%embedding, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:52.4973106Z     %slice_8 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_7, 1, 0, -1), kwargs = {})
2025-03-21T20:22:52.4973692Z     %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 = {})
2025-03-21T20:22:52.4974235Z     %cat : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%pad, %embedding, %pad_1], 2), kwargs = {})
2025-03-21T20:22:52.4975187Z     %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 = {})
2025-03-21T20:22:52.4975946Z     %embedding_1 : [num_users=1] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_position_embeddings_weight, %slice_4), kwargs = {})
2025-03-21T20:22:52.4976698Z     %embedding_2 : [num_users=1] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_token_type_embeddings_weight, %zeros), kwargs = {})
2025-03-21T20:22:52.4977199Z     %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear, %embedding_1), kwargs = {})
2025-03-21T20:22:52.4977689Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%add, %embedding_2), kwargs = {})
2025-03-21T20:22:52.4978399Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_1, %p_embeddings_layernorm_weight), kwargs = {})
2025-03-21T20:22:52.4978959Z     %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_1, %p_embeddings_layernorm_bias), kwargs = {})
2025-03-21T20:22:52.4979527Z     %dropout : [num_users=4] = call_function[target=torch.ops.aten.dropout.default](args = (%add_2, 0.0, False), kwargs = {})
2025-03-21T20:22:52.4980813Z     %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 = {})
2025-03-21T20:22:52.4981682Z     %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 = {})
2025-03-21T20:22:52.4982466Z     %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 = {})
2025-03-21T20:22:52.4983706Z     %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 = {})
2025-03-21T20:22:52.4984533Z     %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 = {})
2025-03-21T20:22:52.4985328Z     %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 = {})
2025-03-21T20:22:52.4986460Z     %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 = {})
2025-03-21T20:22:52.4987587Z     %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 = {})
2025-03-21T20:22:52.4988745Z     %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 = {})
2025-03-21T20:22:52.4989278Z     %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_3, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.4989824Z     %permute : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.4990365Z     %view_1 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_4, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.4990926Z     %permute_1 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.4991462Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_5, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.4992052Z     %permute_2 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.4992625Z     %transpose : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_1, -1, -2), kwargs = {})
2025-03-21T20:22:52.4993185Z     %matmul : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute, %transpose), kwargs = {})
2025-03-21T20:22:52.4993714Z     %div : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.4994390Z     %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div, %mul), kwargs = {})
2025-03-21T20:22:52.4994880Z     %softmax : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_5, -1), kwargs = {})
2025-03-21T20:22:52.4995480Z     %dropout_1 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax, 0.1, False), kwargs = {})
2025-03-21T20:22:52.4996146Z     %matmul_1 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_1, %permute_2), kwargs = {})
2025-03-21T20:22:52.4996760Z     %permute_3 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.4997325Z     %contiguous : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_3,), kwargs = {})
2025-03-21T20:22:52.4997874Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.4999048Z     %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 = {})
2025-03-21T20:22:52.4999545Z     %add_6 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_6, %add_3), kwargs = {})
2025-03-21T20:22:52.5000325Z     %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 = {})
2025-03-21T20:22:52.5001097Z     %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 = {})
2025-03-21T20:22:52.5002391Z     %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 = {})
2025-03-21T20:22:52.5002895Z     %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_7,), kwargs = {})
2025-03-21T20:22:52.5004118Z     %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 = {})
2025-03-21T20:22:52.5004610Z     %add_8 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_8, %add_7), kwargs = {})
2025-03-21T20:22:52.5005424Z     %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 = {})
2025-03-21T20:22:52.5006267Z     %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 = {})
2025-03-21T20:22:52.5007559Z     %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 = {})
2025-03-21T20:22:52.5008042Z     %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_9,), kwargs = {})
2025-03-21T20:22:52.5009268Z     %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 = {})
2025-03-21T20:22:52.5010017Z     %add_10 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_10, %add_9), kwargs = {})
2025-03-21T20:22:52.5010838Z     %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 = {})
2025-03-21T20:22:52.5011732Z     %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 = {})
2025-03-21T20:22:52.5013051Z     %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 = {})
2025-03-21T20:22:52.5013539Z     %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_11,), kwargs = {})
2025-03-21T20:22:52.5014765Z     %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 = {})
2025-03-21T20:22:52.5015270Z     %add_12 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_12, %add_11), kwargs = {})
2025-03-21T20:22:52.5016092Z     %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 = {})
2025-03-21T20:22:52.5016904Z     %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 = {})
2025-03-21T20:22:52.5018030Z     %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 = {})
2025-03-21T20:22:52.5018520Z     %relu_3 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_13,), kwargs = {})
2025-03-21T20:22:52.5019740Z     %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 = {})
2025-03-21T20:22:52.5020552Z     %add_14 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_14, %add_13), kwargs = {})
2025-03-21T20:22:52.5021295Z     %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 = {})
2025-03-21T20:22:52.5022026Z     %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 = {})
2025-03-21T20:22:52.5023205Z     %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 = {})
2025-03-21T20:22:52.5023794Z     %dropout_2 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_15, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5024296Z     %add_16 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_2, %dropout), kwargs = {})
2025-03-21T20:22:52.5025090Z     %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 = {})
2025-03-21T20:22:52.5025860Z     %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 = {})
2025-03-21T20:22:52.5026808Z     %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 = {})
2025-03-21T20:22:52.5027361Z     %detach_ : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy,), kwargs = {})
2025-03-21T20:22:52.5028614Z     %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 = {})
2025-03-21T20:22:52.5029732Z     %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 = {})
2025-03-21T20:22:52.5030530Z     %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 = {})
2025-03-21T20:22:52.5031741Z     %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 = {})
2025-03-21T20:22:52.5032582Z     %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 = {})
2025-03-21T20:22:52.5033373Z     %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 = {})
2025-03-21T20:22:52.5034515Z     %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 = {})
2025-03-21T20:22:52.5035629Z     %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 = {})
2025-03-21T20:22:52.5036773Z     %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 = {})
2025-03-21T20:22:52.5037311Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_18, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5037879Z     %permute_4 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5038417Z     %view_5 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_19, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5038985Z     %permute_5 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5039520Z     %view_6 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_20, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5040082Z     %permute_6 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5040659Z     %transpose_1 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_5, -1, -2), kwargs = {})
2025-03-21T20:22:52.5041236Z     %matmul_2 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_4, %transpose_1), kwargs = {})
2025-03-21T20:22:52.5042061Z     %div_1 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_2, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5042522Z     %add_20 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_1, %mul), kwargs = {})
2025-03-21T20:22:52.5043022Z     %softmax_1 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_20, -1), kwargs = {})
2025-03-21T20:22:52.5043734Z     %dropout_3 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_1, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5044336Z     %matmul_3 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_3, %permute_6), kwargs = {})
2025-03-21T20:22:52.5044911Z     %permute_7 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5045481Z     %contiguous_1 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_7,), kwargs = {})
2025-03-21T20:22:52.5046040Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_1, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5047216Z     %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 = {})
2025-03-21T20:22:52.5047714Z     %add_21 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_21, %add_18), kwargs = {})
2025-03-21T20:22:52.5048504Z     %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 = {})
2025-03-21T20:22:52.5049275Z     %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 = {})
2025-03-21T20:22:52.5050665Z     %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 = {})
2025-03-21T20:22:52.5051147Z     %relu_4 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_22,), kwargs = {})
2025-03-21T20:22:52.5052383Z     %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 = {})
2025-03-21T20:22:52.5052884Z     %add_23 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_23, %add_22), kwargs = {})
2025-03-21T20:22:52.5053699Z     %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 = {})
2025-03-21T20:22:52.5054519Z     %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 = {})
2025-03-21T20:22:52.5055812Z     %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 = {})
2025-03-21T20:22:52.5056298Z     %relu_5 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_24,), kwargs = {})
2025-03-21T20:22:52.5057521Z     %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 = {})
2025-03-21T20:22:52.5058161Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_25, %add_24), kwargs = {})
2025-03-21T20:22:52.5058984Z     %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 = {})
2025-03-21T20:22:52.5059904Z     %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 = {})
2025-03-21T20:22:52.5061206Z     %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 = {})
2025-03-21T20:22:52.5061699Z     %relu_6 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_26,), kwargs = {})
2025-03-21T20:22:52.5062922Z     %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 = {})
2025-03-21T20:22:52.5063427Z     %add_27 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_27, %add_26), kwargs = {})
2025-03-21T20:22:52.5064247Z     %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 = {})
2025-03-21T20:22:52.5065061Z     %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 = {})
2025-03-21T20:22:52.5066191Z     %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 = {})
2025-03-21T20:22:52.5066678Z     %relu_7 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_28,), kwargs = {})
2025-03-21T20:22:52.5067736Z     %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 = {})
2025-03-21T20:22:52.5068239Z     %add_29 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_29, %add_28), kwargs = {})
2025-03-21T20:22:52.5068975Z     %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 = {})
2025-03-21T20:22:52.5069712Z     %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 = {})
2025-03-21T20:22:52.5070886Z     %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 = {})
2025-03-21T20:22:52.5071472Z     %dropout_4 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_30, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5071969Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_4, %add_17), kwargs = {})
2025-03-21T20:22:52.5072761Z     %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 = {})
2025-03-21T20:22:52.5073671Z     %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 = {})
2025-03-21T20:22:52.5074477Z     %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 = {})
2025-03-21T20:22:52.5075110Z     %detach__1 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_1,), kwargs = {})
2025-03-21T20:22:52.5076301Z     %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 = {})
2025-03-21T20:22:52.5077110Z     %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 = {})
2025-03-21T20:22:52.5077900Z     %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 = {})
2025-03-21T20:22:52.5079120Z     %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 = {})
2025-03-21T20:22:52.5079958Z     %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 = {})
2025-03-21T20:22:52.5080756Z     %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 = {})
2025-03-21T20:22:52.5081914Z     %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 = {})
2025-03-21T20:22:52.5083032Z     %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 = {})
2025-03-21T20:22:52.5084185Z     %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 = {})
2025-03-21T20:22:52.5084722Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_33, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5085300Z     %permute_8 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5085837Z     %view_9 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_34, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5086405Z     %permute_9 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5086947Z     %view_10 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_35, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5087517Z     %permute_10 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5088093Z     %transpose_2 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_9, -1, -2), kwargs = {})
2025-03-21T20:22:52.5088666Z     %matmul_4 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_8, %transpose_2), kwargs = {})
2025-03-21T20:22:52.5089441Z     %div_2 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_4, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5089913Z     %add_35 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_2, %mul), kwargs = {})
2025-03-21T20:22:52.5090418Z     %softmax_2 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_35, -1), kwargs = {})
2025-03-21T20:22:52.5091084Z     %dropout_5 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_2, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5091700Z     %matmul_5 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_5, %permute_10), kwargs = {})
2025-03-21T20:22:52.5092280Z     %permute_11 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5092866Z     %contiguous_2 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_11,), kwargs = {})
2025-03-21T20:22:52.5093409Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_2, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5094605Z     %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 = {})
2025-03-21T20:22:52.5095100Z     %add_36 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_36, %add_33), kwargs = {})
2025-03-21T20:22:52.5095887Z     %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 = {})
2025-03-21T20:22:52.5096666Z     %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 = {})
2025-03-21T20:22:52.5097968Z     %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 = {})
2025-03-21T20:22:52.5098457Z     %relu_8 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_37,), kwargs = {})
2025-03-21T20:22:52.5099681Z     %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 = {})
2025-03-21T20:22:52.5100184Z     %add_38 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_38, %add_37), kwargs = {})
2025-03-21T20:22:52.5101011Z     %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 = {})
2025-03-21T20:22:52.5101842Z     %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 = {})
2025-03-21T20:22:52.5103136Z     %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 = {})
2025-03-21T20:22:52.5103625Z     %relu_9 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_39,), kwargs = {})
2025-03-21T20:22:52.5104847Z     %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 = {})
2025-03-21T20:22:52.5105460Z     %add_40 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_40, %add_39), kwargs = {})
2025-03-21T20:22:52.5106366Z     %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 = {})
2025-03-21T20:22:52.5107217Z     %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 = {})
2025-03-21T20:22:52.5108513Z     %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 = {})
2025-03-21T20:22:52.5109012Z     %relu_10 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_41,), kwargs = {})
2025-03-21T20:22:52.5110239Z     %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 = {})
2025-03-21T20:22:52.5110744Z     %add_42 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_42, %add_41), kwargs = {})
2025-03-21T20:22:52.5111564Z     %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 = {})
2025-03-21T20:22:52.5112382Z     %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 = {})
2025-03-21T20:22:52.5113516Z     %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 = {})
2025-03-21T20:22:52.5114002Z     %relu_11 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_43,), kwargs = {})
2025-03-21T20:22:52.5115069Z     %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 = {})
2025-03-21T20:22:52.5115570Z     %add_44 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_44, %add_43), kwargs = {})
2025-03-21T20:22:52.5116307Z     %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 = {})
2025-03-21T20:22:52.5117043Z     %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 = {})
2025-03-21T20:22:52.5118223Z     %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 = {})
2025-03-21T20:22:52.5118811Z     %dropout_6 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_45, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5119306Z     %add_46 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_6, %add_32), kwargs = {})
2025-03-21T20:22:52.5120101Z     %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 = {})
2025-03-21T20:22:52.5120989Z     %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 = {})
2025-03-21T20:22:52.5121798Z     %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 = {})
2025-03-21T20:22:52.5122426Z     %detach__2 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_2,), kwargs = {})
2025-03-21T20:22:52.5123633Z     %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 = {})
2025-03-21T20:22:52.5124448Z     %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 = {})
2025-03-21T20:22:52.5125229Z     %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 = {})
2025-03-21T20:22:52.5126445Z     %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 = {})
2025-03-21T20:22:52.5127284Z     %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 = {})
2025-03-21T20:22:52.5128079Z     %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 = {})
2025-03-21T20:22:52.5129228Z     %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 = {})
2025-03-21T20:22:52.5130780Z     %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 = {})
2025-03-21T20:22:52.5131927Z     %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 = {})
2025-03-21T20:22:52.5132463Z     %view_12 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_48, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5133045Z     %permute_12 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5133576Z     %view_13 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_49, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5134151Z     %permute_13 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5134687Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_50, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5135254Z     %permute_14 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5135828Z     %transpose_3 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_13, -1, -2), kwargs = {})
2025-03-21T20:22:52.5136661Z     %matmul_6 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_12, %transpose_3), kwargs = {})
2025-03-21T20:22:52.5137180Z     %div_3 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_6, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5137645Z     %add_50 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_3, %mul), kwargs = {})
2025-03-21T20:22:52.5138312Z     %softmax_3 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_50, -1), kwargs = {})
2025-03-21T20:22:52.5138906Z     %dropout_7 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_3, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5139474Z     %matmul_7 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_7, %permute_14), kwargs = {})
2025-03-21T20:22:52.5140043Z     %permute_15 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5140622Z     %contiguous_3 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_15,), kwargs = {})
2025-03-21T20:22:52.5141164Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_3, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5142353Z     %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 = {})
2025-03-21T20:22:52.5142845Z     %add_51 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_51, %add_48), kwargs = {})
2025-03-21T20:22:52.5143631Z     %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 = {})
2025-03-21T20:22:52.5144412Z     %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 = {})
2025-03-21T20:22:52.5145697Z     %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 = {})
2025-03-21T20:22:52.5146186Z     %relu_12 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_52,), kwargs = {})
2025-03-21T20:22:52.5147406Z     %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 = {})
2025-03-21T20:22:52.5147913Z     %add_53 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_53, %add_52), kwargs = {})
2025-03-21T20:22:52.5148729Z     %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 = {})
2025-03-21T20:22:52.5149544Z     %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 = {})
2025-03-21T20:22:52.5150822Z     %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 = {})
2025-03-21T20:22:52.5151309Z     %relu_13 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_54,), kwargs = {})
2025-03-21T20:22:52.5152641Z     %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 = {})
2025-03-21T20:22:52.5153139Z     %add_55 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_55, %add_54), kwargs = {})
2025-03-21T20:22:52.5154033Z     %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 = {})
2025-03-21T20:22:52.5154868Z     %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 = {})
2025-03-21T20:22:52.5156151Z     %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 = {})
2025-03-21T20:22:52.5156646Z     %relu_14 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_56,), kwargs = {})
2025-03-21T20:22:52.5157868Z     %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 = {})
2025-03-21T20:22:52.5158368Z     %add_57 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_57, %add_56), kwargs = {})
2025-03-21T20:22:52.5159180Z     %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 = {})
2025-03-21T20:22:52.5159996Z     %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 = {})
2025-03-21T20:22:52.5161117Z     %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 = {})
2025-03-21T20:22:52.5161612Z     %relu_15 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_58,), kwargs = {})
2025-03-21T20:22:52.5162666Z     %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 = {})
2025-03-21T20:22:52.5163167Z     %add_59 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_59, %add_58), kwargs = {})
2025-03-21T20:22:52.5163904Z     %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 = {})
2025-03-21T20:22:52.5164635Z     %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 = {})
2025-03-21T20:22:52.5165812Z     %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 = {})
2025-03-21T20:22:52.5166396Z     %dropout_8 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_60, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5166889Z     %add_61 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_8, %add_47), kwargs = {})
2025-03-21T20:22:52.5167797Z     %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 = {})
2025-03-21T20:22:52.5168571Z     %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 = {})
2025-03-21T20:22:52.5169559Z     %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 = {})
2025-03-21T20:22:52.5170139Z     %detach__3 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_3,), kwargs = {})
2025-03-21T20:22:52.5171307Z     %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 = {})
2025-03-21T20:22:52.5172126Z     %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 = {})
2025-03-21T20:22:52.5172901Z     %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 = {})
2025-03-21T20:22:52.5174113Z     %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 = {})
2025-03-21T20:22:52.5174950Z     %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 = {})
2025-03-21T20:22:52.5175750Z     %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 = {})
2025-03-21T20:22:52.5176889Z     %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 = {})
2025-03-21T20:22:52.5178001Z     %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 = {})
2025-03-21T20:22:52.5179138Z     %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 = {})
2025-03-21T20:22:52.5179684Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_63, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5180260Z     %permute_16 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5180795Z     %view_17 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_64, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5181371Z     %permute_17 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5181917Z     %view_18 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_65, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5182484Z     %permute_18 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5183190Z     %transpose_4 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_17, -1, -2), kwargs = {})
2025-03-21T20:22:52.5183768Z     %matmul_8 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_16, %transpose_4), kwargs = {})
2025-03-21T20:22:52.5184293Z     %div_4 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_8, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5184830Z     %add_65 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_4, %mul), kwargs = {})
2025-03-21T20:22:52.5185363Z     %softmax_4 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_65, -1), kwargs = {})
2025-03-21T20:22:52.5185940Z     %dropout_9 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_4, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5186516Z     %matmul_9 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_9, %permute_18), kwargs = {})
2025-03-21T20:22:52.5187102Z     %permute_19 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5187684Z     %contiguous_4 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_19,), kwargs = {})
2025-03-21T20:22:52.5188235Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_4, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5189407Z     %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 = {})
2025-03-21T20:22:52.5189912Z     %add_66 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_66, %add_63), kwargs = {})
2025-03-21T20:22:52.5190696Z     %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 = {})
2025-03-21T20:22:52.5191477Z     %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 = {})
2025-03-21T20:22:52.5192762Z     %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 = {})
2025-03-21T20:22:52.5193250Z     %relu_16 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_67,), kwargs = {})
2025-03-21T20:22:52.5194467Z     %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 = {})
2025-03-21T20:22:52.5194973Z     %add_68 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_68, %add_67), kwargs = {})
2025-03-21T20:22:52.5195790Z     %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 = {})
2025-03-21T20:22:52.5196610Z     %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 = {})
2025-03-21T20:22:52.5197898Z     %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 = {})
2025-03-21T20:22:52.5198508Z     %relu_17 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_69,), kwargs = {})
2025-03-21T20:22:52.5199734Z     %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 = {})
2025-03-21T20:22:52.5200360Z     %add_70 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_70, %add_69), kwargs = {})
2025-03-21T20:22:52.5201190Z     %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 = {})
2025-03-21T20:22:52.5202008Z     %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 = {})
2025-03-21T20:22:52.5203300Z     %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 = {})
2025-03-21T20:22:52.5203793Z     %relu_18 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_71,), kwargs = {})
2025-03-21T20:22:52.5205019Z     %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 = {})
2025-03-21T20:22:52.5205519Z     %add_72 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_72, %add_71), kwargs = {})
2025-03-21T20:22:52.5206333Z     %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 = {})
2025-03-21T20:22:52.5207151Z     %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 = {})
2025-03-21T20:22:52.5208281Z     %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 = {})
2025-03-21T20:22:52.5208767Z     %relu_19 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_73,), kwargs = {})
2025-03-21T20:22:52.5209919Z     %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 = {})
2025-03-21T20:22:52.5210428Z     %add_74 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_74, %add_73), kwargs = {})
2025-03-21T20:22:52.5211160Z     %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 = {})
2025-03-21T20:22:52.5211893Z     %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 = {})
2025-03-21T20:22:52.5213069Z     %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 = {})
2025-03-21T20:22:52.5213656Z     %dropout_10 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_75, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5214277Z     %add_76 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_10, %add_62), kwargs = {})
2025-03-21T20:22:52.5215066Z     %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 = {})
2025-03-21T20:22:52.5215840Z     %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 = {})
2025-03-21T20:22:52.5216722Z     %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 = {})
2025-03-21T20:22:52.5217306Z     %detach__4 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_4,), kwargs = {})
2025-03-21T20:22:52.5218478Z     %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 = {})
2025-03-21T20:22:52.5219290Z     %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 = {})
2025-03-21T20:22:52.5220075Z     %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 = {})
2025-03-21T20:22:52.5221282Z     %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 = {})
2025-03-21T20:22:52.5222116Z     %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 = {})
2025-03-21T20:22:52.5222916Z     %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 = {})
2025-03-21T20:22:52.5224057Z     %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 = {})
2025-03-21T20:22:52.5225168Z     %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 = {})
2025-03-21T20:22:52.5226305Z     %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 = {})
2025-03-21T20:22:52.5226849Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_78, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5227426Z     %permute_20 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5227969Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_79, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5228539Z     %permute_21 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5229084Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_80, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5229950Z     %permute_22 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5230786Z     %transpose_5 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_21, -1, -2), kwargs = {})
2025-03-21T20:22:52.5231367Z     %matmul_10 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_20, %transpose_5), kwargs = {})
2025-03-21T20:22:52.5232135Z     %div_5 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_10, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5232625Z     %add_80 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_5, %mul), kwargs = {})
2025-03-21T20:22:52.5233132Z     %softmax_5 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_80, -1), kwargs = {})
2025-03-21T20:22:52.5233714Z     %dropout_11 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_5, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5234306Z     %matmul_11 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_11, %permute_22), kwargs = {})
2025-03-21T20:22:52.5234888Z     %permute_23 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5235470Z     %contiguous_5 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_23,), kwargs = {})
2025-03-21T20:22:52.5236018Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_5, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5237195Z     %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 = {})
2025-03-21T20:22:52.5237703Z     %add_81 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_81, %add_78), kwargs = {})
2025-03-21T20:22:52.5238495Z     %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 = {})
2025-03-21T20:22:52.5239271Z     %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 = {})
2025-03-21T20:22:52.5240564Z     %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 = {})
2025-03-21T20:22:52.5241052Z     %relu_20 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_82,), kwargs = {})
2025-03-21T20:22:52.5242280Z     %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 = {})
2025-03-21T20:22:52.5242790Z     %add_83 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_83, %add_82), kwargs = {})
2025-03-21T20:22:52.5243612Z     %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 = {})
2025-03-21T20:22:52.5244428Z     %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 = {})
2025-03-21T20:22:52.5245715Z     %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 = {})
2025-03-21T20:22:52.5246311Z     %relu_21 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_84,), kwargs = {})
2025-03-21T20:22:52.5247529Z     %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 = {})
2025-03-21T20:22:52.5248107Z     %add_85 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_85, %add_84), kwargs = {})
2025-03-21T20:22:52.5248938Z     %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 = {})
2025-03-21T20:22:52.5249851Z     %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 = {})
2025-03-21T20:22:52.5251151Z     %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 = {})
2025-03-21T20:22:52.5251642Z     %relu_22 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_86,), kwargs = {})
2025-03-21T20:22:52.5252862Z     %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 = {})
2025-03-21T20:22:52.5253360Z     %add_87 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_87, %add_86), kwargs = {})
2025-03-21T20:22:52.5254182Z     %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 = {})
2025-03-21T20:22:52.5254993Z     %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 = {})
2025-03-21T20:22:52.5256118Z     %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 = {})
2025-03-21T20:22:52.5256607Z     %relu_23 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_88,), kwargs = {})
2025-03-21T20:22:52.5257660Z     %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 = {})
2025-03-21T20:22:52.5258165Z     %add_89 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_89, %add_88), kwargs = {})
2025-03-21T20:22:52.5258897Z     %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 = {})
2025-03-21T20:22:52.5259642Z     %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 = {})
2025-03-21T20:22:52.5260817Z     %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 = {})
2025-03-21T20:22:52.5261400Z     %dropout_12 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_90, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5262028Z     %add_91 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_12, %add_77), kwargs = {})
2025-03-21T20:22:52.5262823Z     %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 = {})
2025-03-21T20:22:52.5263685Z     %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 = {})
2025-03-21T20:22:52.5264498Z     %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 = {})
2025-03-21T20:22:52.5265040Z     %detach__5 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_5,), kwargs = {})
2025-03-21T20:22:52.5266217Z     %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 = {})
2025-03-21T20:22:52.5267020Z     %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 = {})
2025-03-21T20:22:52.5267797Z     %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 = {})
2025-03-21T20:22:52.5269008Z     %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 = {})
2025-03-21T20:22:52.5269851Z     %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 = {})
2025-03-21T20:22:52.5270640Z     %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 = {})
2025-03-21T20:22:52.5271785Z     %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 = {})
2025-03-21T20:22:52.5272895Z     %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 = {})
2025-03-21T20:22:52.5274042Z     %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 = {})
2025-03-21T20:22:52.5274578Z     %view_24 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_93, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5275157Z     %permute_24 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_24, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5275690Z     %view_25 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_94, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5276255Z     %permute_25 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5276791Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_95, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5277455Z     %permute_26 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_26, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5278032Z     %transpose_6 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_25, -1, -2), kwargs = {})
2025-03-21T20:22:52.5278605Z     %matmul_12 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_24, %transpose_6), kwargs = {})
2025-03-21T20:22:52.5279242Z     %div_6 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_12, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5279715Z     %add_95 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_6, %mul), kwargs = {})
2025-03-21T20:22:52.5280216Z     %softmax_6 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_95, -1), kwargs = {})
2025-03-21T20:22:52.5280796Z     %dropout_13 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_6, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5281371Z     %matmul_13 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_13, %permute_26), kwargs = {})
2025-03-21T20:22:52.5281942Z     %permute_27 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5282521Z     %contiguous_6 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_27,), kwargs = {})
2025-03-21T20:22:52.5283064Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_6, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5284228Z     %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 = {})
2025-03-21T20:22:52.5284731Z     %add_96 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_96, %add_93), kwargs = {})
2025-03-21T20:22:52.5285512Z     %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 = {})
2025-03-21T20:22:52.5286291Z     %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 = {})
2025-03-21T20:22:52.5287573Z     %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 = {})
2025-03-21T20:22:52.5288057Z     %relu_24 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_97,), kwargs = {})
2025-03-21T20:22:52.5289281Z     %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 = {})
2025-03-21T20:22:52.5289875Z     %add_98 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_98, %add_97), kwargs = {})
2025-03-21T20:22:52.5290700Z     %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 = {})
2025-03-21T20:22:52.5291515Z     %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 = {})
2025-03-21T20:22:52.5292795Z     %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 = {})
2025-03-21T20:22:52.5293437Z     %relu_25 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_99,), kwargs = {})
2025-03-21T20:22:52.5294746Z     %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 = {})
2025-03-21T20:22:52.5295289Z     %add_100 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_100, %add_99), kwargs = {})
2025-03-21T20:22:52.5296120Z     %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 = {})
2025-03-21T20:22:52.5296952Z     %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 = {})
2025-03-21T20:22:52.5298256Z     %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 = {})
2025-03-21T20:22:52.5298753Z     %relu_26 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_101,), kwargs = {})
2025-03-21T20:22:52.5299988Z     %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 = {})
2025-03-21T20:22:52.5300505Z     %add_102 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_102, %add_101), kwargs = {})
2025-03-21T20:22:52.5301330Z     %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 = {})
2025-03-21T20:22:52.5302160Z     %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 = {})
2025-03-21T20:22:52.5303302Z     %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 = {})
2025-03-21T20:22:52.5303795Z     %relu_27 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_103,), kwargs = {})
2025-03-21T20:22:52.5304870Z     %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 = {})
2025-03-21T20:22:52.5305385Z     %add_104 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_104, %add_103), kwargs = {})
2025-03-21T20:22:52.5306133Z     %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 = {})
2025-03-21T20:22:52.5306877Z     %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 = {})
2025-03-21T20:22:52.5308069Z     %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 = {})
2025-03-21T20:22:52.5308797Z     %dropout_14 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_105, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5309304Z     %add_106 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_14, %add_92), kwargs = {})
2025-03-21T20:22:52.5310186Z     %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 = {})
2025-03-21T20:22:52.5311019Z     %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 = {})
2025-03-21T20:22:52.5311829Z     %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 = {})
2025-03-21T20:22:52.5312382Z     %detach__6 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_6,), kwargs = {})
2025-03-21T20:22:52.5313576Z     %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 = {})
2025-03-21T20:22:52.5314394Z     %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 = {})
2025-03-21T20:22:52.5315191Z     %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 = {})
2025-03-21T20:22:52.5316417Z     %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 = {})
2025-03-21T20:22:52.5317267Z     %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 = {})
2025-03-21T20:22:52.5318076Z     %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 = {})
2025-03-21T20:22:52.5319239Z     %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 = {})
2025-03-21T20:22:52.5320369Z     %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 = {})
2025-03-21T20:22:52.5321535Z     %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 = {})
2025-03-21T20:22:52.5322082Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_108, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5322662Z     %permute_28 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_28, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5323201Z     %view_29 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_109, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5323767Z     %permute_29 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5324484Z     %view_30 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_110, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5325054Z     %permute_30 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_30, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5325635Z     %transpose_7 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_29, -1, -2), kwargs = {})
2025-03-21T20:22:52.5326291Z     %matmul_14 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_28, %transpose_7), kwargs = {})
2025-03-21T20:22:52.5326832Z     %div_7 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_14, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5327300Z     %add_110 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_7, %mul), kwargs = {})
2025-03-21T20:22:52.5327811Z     %softmax_7 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_110, -1), kwargs = {})
2025-03-21T20:22:52.5328388Z     %dropout_15 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_7, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5328965Z     %matmul_15 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_15, %permute_30), kwargs = {})
2025-03-21T20:22:52.5329889Z     %permute_31 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5330471Z     %contiguous_7 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_31,), kwargs = {})
2025-03-21T20:22:52.5331013Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_7, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5332191Z     %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 = {})
2025-03-21T20:22:52.5332711Z     %add_111 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_111, %add_108), kwargs = {})
2025-03-21T20:22:52.5333502Z     %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 = {})
2025-03-21T20:22:52.5334289Z     %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 = {})
2025-03-21T20:22:52.5335590Z     %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 = {})
2025-03-21T20:22:52.5336087Z     %relu_28 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_112,), kwargs = {})
2025-03-21T20:22:52.5337319Z     %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 = {})
2025-03-21T20:22:52.5337834Z     %add_113 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_113, %add_112), kwargs = {})
2025-03-21T20:22:52.5338655Z     %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 = {})
2025-03-21T20:22:52.5339475Z     %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 = {})
2025-03-21T20:22:52.5341623Z     %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 = {})
2025-03-21T20:22:52.5342118Z     %relu_29 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_114,), kwargs = {})
2025-03-21T20:22:52.5343557Z     %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 = {})
2025-03-21T20:22:52.5344087Z     %add_115 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_115, %add_114), kwargs = {})
2025-03-21T20:22:52.5344921Z     %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 = {})
2025-03-21T20:22:52.5345743Z     %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 = {})
2025-03-21T20:22:52.5347045Z     %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 = {})
2025-03-21T20:22:52.5347540Z     %relu_30 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_116,), kwargs = {})
2025-03-21T20:22:52.5348779Z     %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 = {})
2025-03-21T20:22:52.5349298Z     %add_117 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_117, %add_116), kwargs = {})
2025-03-21T20:22:52.5350122Z     %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 = {})
2025-03-21T20:22:52.5350949Z     %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 = {})
2025-03-21T20:22:52.5352090Z     %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 = {})
2025-03-21T20:22:52.5352591Z     %relu_31 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_118,), kwargs = {})
2025-03-21T20:22:52.5353656Z     %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 = {})
2025-03-21T20:22:52.5354181Z     %add_119 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_119, %add_118), kwargs = {})
2025-03-21T20:22:52.5354927Z     %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 = {})
2025-03-21T20:22:52.5355665Z     %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 = {})
2025-03-21T20:22:52.5356957Z     %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 = {})
2025-03-21T20:22:52.5357541Z     %dropout_16 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_120, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5358158Z     %add_121 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_16, %add_107), kwargs = {})
2025-03-21T20:22:52.5358972Z     %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 = {})
2025-03-21T20:22:52.5359749Z     %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 = {})
2025-03-21T20:22:52.5360559Z     %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 = {})
2025-03-21T20:22:52.5361101Z     %detach__7 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_7,), kwargs = {})
2025-03-21T20:22:52.5362285Z     %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 = {})
2025-03-21T20:22:52.5363098Z     %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 = {})
2025-03-21T20:22:52.5363881Z     %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 = {})
2025-03-21T20:22:52.5365107Z     %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 = {})
2025-03-21T20:22:52.5365949Z     %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 = {})
2025-03-21T20:22:52.5366751Z     %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 = {})
2025-03-21T20:22:52.5367900Z     %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 = {})
2025-03-21T20:22:52.5369025Z     %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 = {})
2025-03-21T20:22:52.5370301Z     %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 = {})
2025-03-21T20:22:52.5370845Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_123, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5371434Z     %permute_32 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_32, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5371973Z     %view_33 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_124, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5372663Z     %permute_33 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5373210Z     %view_34 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_125, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5373889Z     %permute_34 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_34, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5374483Z     %transpose_8 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_33, -1, -2), kwargs = {})
2025-03-21T20:22:52.5375065Z     %matmul_16 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_32, %transpose_8), kwargs = {})
2025-03-21T20:22:52.5375597Z     %div_8 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_16, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5376073Z     %add_125 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_8, %mul), kwargs = {})
2025-03-21T20:22:52.5376581Z     %softmax_8 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_125, -1), kwargs = {})
2025-03-21T20:22:52.5377161Z     %dropout_17 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_8, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5377744Z     %matmul_17 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_17, %permute_34), kwargs = {})
2025-03-21T20:22:52.5378322Z     %permute_35 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5378898Z     %contiguous_8 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_35,), kwargs = {})
2025-03-21T20:22:52.5379443Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_8, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5380635Z     %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 = {})
2025-03-21T20:22:52.5381153Z     %add_126 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_126, %add_123), kwargs = {})
2025-03-21T20:22:52.5381949Z     %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 = {})
2025-03-21T20:22:52.5382738Z     %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 = {})
2025-03-21T20:22:52.5384044Z     %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 = {})
2025-03-21T20:22:52.5384544Z     %relu_32 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_127,), kwargs = {})
2025-03-21T20:22:52.5385781Z     %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 = {})
2025-03-21T20:22:52.5386298Z     %add_128 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_128, %add_127), kwargs = {})
2025-03-21T20:22:52.5387123Z     %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 = {})
2025-03-21T20:22:52.5388106Z     %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 = {})
2025-03-21T20:22:52.5389492Z     %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 = {})
2025-03-21T20:22:52.5390023Z     %relu_33 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_129,), kwargs = {})
2025-03-21T20:22:52.5391277Z     %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 = {})
2025-03-21T20:22:52.5391800Z     %add_130 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_130, %add_129), kwargs = {})
2025-03-21T20:22:52.5392630Z     %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 = {})
2025-03-21T20:22:52.5393463Z     %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 = {})
2025-03-21T20:22:52.5394771Z     %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 = {})
2025-03-21T20:22:52.5395267Z     %relu_34 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_131,), kwargs = {})
2025-03-21T20:22:52.5396514Z     %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 = {})
2025-03-21T20:22:52.5397033Z     %add_132 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_132, %add_131), kwargs = {})
2025-03-21T20:22:52.5397862Z     %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 = {})
2025-03-21T20:22:52.5398687Z     %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 = {})
2025-03-21T20:22:52.5399837Z     %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 = {})
2025-03-21T20:22:52.5400339Z     %relu_35 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_133,), kwargs = {})
2025-03-21T20:22:52.5401416Z     %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 = {})
2025-03-21T20:22:52.5401933Z     %add_134 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_134, %add_133), kwargs = {})
2025-03-21T20:22:52.5402679Z     %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 = {})
2025-03-21T20:22:52.5403544Z     %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 = {})
2025-03-21T20:22:52.5404742Z     %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 = {})
2025-03-21T20:22:52.5405408Z     %dropout_18 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_135, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5405955Z     %add_136 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_18, %add_122), kwargs = {})
2025-03-21T20:22:52.5406758Z     %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 = {})
2025-03-21T20:22:52.5407548Z     %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 = {})
2025-03-21T20:22:52.5408351Z     %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 = {})
2025-03-21T20:22:52.5408899Z     %detach__8 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_8,), kwargs = {})
2025-03-21T20:22:52.5410209Z     %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 = {})
2025-03-21T20:22:52.5411030Z     %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 = {})
2025-03-21T20:22:52.5411822Z     %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 = {})
2025-03-21T20:22:52.5413044Z     %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 = {})
2025-03-21T20:22:52.5413888Z     %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 = {})
2025-03-21T20:22:52.5414686Z     %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 = {})
2025-03-21T20:22:52.5415842Z     %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 = {})
2025-03-21T20:22:52.5416961Z     %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 = {})
2025-03-21T20:22:52.5418123Z     %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 = {})
2025-03-21T20:22:52.5418677Z     %view_36 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_138, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5419254Z     %permute_36 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_36, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5419951Z     %view_37 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_139, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5420525Z     %permute_37 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_37, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5421168Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_140, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5421781Z     %permute_38 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_38, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5422367Z     %transpose_9 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_37, -1, -2), kwargs = {})
2025-03-21T20:22:52.5422957Z     %matmul_18 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_36, %transpose_9), kwargs = {})
2025-03-21T20:22:52.5423494Z     %div_9 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_18, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5423971Z     %add_140 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_9, %mul), kwargs = {})
2025-03-21T20:22:52.5424484Z     %softmax_9 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_140, -1), kwargs = {})
2025-03-21T20:22:52.5425067Z     %dropout_19 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_9, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5425647Z     %matmul_19 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_19, %permute_38), kwargs = {})
2025-03-21T20:22:52.5426226Z     %permute_39 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5426811Z     %contiguous_9 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_39,), kwargs = {})
2025-03-21T20:22:52.5427358Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_9, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5428544Z     %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 = {})
2025-03-21T20:22:52.5429061Z     %add_141 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_141, %add_138), kwargs = {})
2025-03-21T20:22:52.5430084Z     %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 = {})
2025-03-21T20:22:52.5430892Z     %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 = {})
2025-03-21T20:22:52.5432202Z     %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 = {})
2025-03-21T20:22:52.5432706Z     %relu_36 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_142,), kwargs = {})
2025-03-21T20:22:52.5433942Z     %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 = {})
2025-03-21T20:22:52.5434461Z     %add_143 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_143, %add_142), kwargs = {})
2025-03-21T20:22:52.5435583Z     %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 = {})
2025-03-21T20:22:52.5436411Z     %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 = {})
2025-03-21T20:22:52.5437895Z     %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 = {})
2025-03-21T20:22:52.5438413Z     %relu_37 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_144,), kwargs = {})
2025-03-21T20:22:52.5439653Z     %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 = {})
2025-03-21T20:22:52.5440182Z     %add_145 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_145, %add_144), kwargs = {})
2025-03-21T20:22:52.5441012Z     %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 = {})
2025-03-21T20:22:52.5441837Z     %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 = {})
2025-03-21T20:22:52.5443135Z     %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 = {})
2025-03-21T20:22:52.5443636Z     %relu_38 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_146,), kwargs = {})
2025-03-21T20:22:52.5444865Z     %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 = {})
2025-03-21T20:22:52.5445383Z     %add_147 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_147, %add_146), kwargs = {})
2025-03-21T20:22:52.5446208Z     %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 = {})
2025-03-21T20:22:52.5447031Z     %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 = {})
2025-03-21T20:22:52.5448180Z     %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 = {})
2025-03-21T20:22:52.5448673Z     %relu_39 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_148,), kwargs = {})
2025-03-21T20:22:52.5449842Z     %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 = {})
2025-03-21T20:22:52.5450358Z     %add_149 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_149, %add_148), kwargs = {})
2025-03-21T20:22:52.5451206Z     %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 = {})
2025-03-21T20:22:52.5451941Z     %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 = {})
2025-03-21T20:22:52.5453213Z     %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 = {})
2025-03-21T20:22:52.5453812Z     %dropout_20 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_150, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5454324Z     %add_151 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_20, %add_137), kwargs = {})
2025-03-21T20:22:52.5455133Z     %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 = {})
2025-03-21T20:22:52.5455925Z     %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 = {})
2025-03-21T20:22:52.5456734Z     %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 = {})
2025-03-21T20:22:52.5457277Z     %detach__9 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_9,), kwargs = {})
2025-03-21T20:22:52.5458467Z     %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 = {})
2025-03-21T20:22:52.5459285Z     %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 = {})
2025-03-21T20:22:52.5460073Z     %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 = {})
2025-03-21T20:22:52.5461305Z     %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 = {})
2025-03-21T20:22:52.5462150Z     %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 = {})
2025-03-21T20:22:52.5462951Z     %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 = {})
2025-03-21T20:22:52.5464119Z     %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 = {})
2025-03-21T20:22:52.5465253Z     %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 = {})
2025-03-21T20:22:52.5466410Z     %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 = {})
2025-03-21T20:22:52.5467114Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_153, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5467689Z     %permute_40 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_40, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5468222Z     %view_41 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_154, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5468891Z     %permute_41 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5469443Z     %view_42 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_155, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5470008Z     %permute_42 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_42, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5470587Z     %transpose_10 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_41, -1, -2), kwargs = {})
2025-03-21T20:22:52.5471175Z     %matmul_20 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_40, %transpose_10), kwargs = {})
2025-03-21T20:22:52.5471705Z     %div_10 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_20, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5472176Z     %add_155 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_10, %mul), kwargs = {})
2025-03-21T20:22:52.5472685Z     %softmax_10 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_155, -1), kwargs = {})
2025-03-21T20:22:52.5473264Z     %dropout_21 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_10, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5473841Z     %matmul_21 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_21, %permute_42), kwargs = {})
2025-03-21T20:22:52.5474419Z     %permute_43 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5474993Z     %contiguous_10 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_43,), kwargs = {})
2025-03-21T20:22:52.5475534Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_10, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5476724Z     %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 = {})
2025-03-21T20:22:52.5477227Z     %add_156 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_156, %add_153), kwargs = {})
2025-03-21T20:22:52.5478017Z     %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 = {})
2025-03-21T20:22:52.5478809Z     %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 = {})
2025-03-21T20:22:52.5480112Z     %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 = {})
2025-03-21T20:22:52.5480600Z     %relu_40 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_157,), kwargs = {})
2025-03-21T20:22:52.5481836Z     %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 = {})
2025-03-21T20:22:52.5482453Z     %add_158 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_158, %add_157), kwargs = {})
2025-03-21T20:22:52.5483280Z     %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 = {})
2025-03-21T20:22:52.5484238Z     %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 = {})
2025-03-21T20:22:52.5485576Z     %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 = {})
2025-03-21T20:22:52.5486076Z     %relu_41 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_159,), kwargs = {})
2025-03-21T20:22:52.5487313Z     %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 = {})
2025-03-21T20:22:52.5487832Z     %add_160 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_160, %add_159), kwargs = {})
2025-03-21T20:22:52.5488660Z     %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 = {})
2025-03-21T20:22:52.5489595Z     %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 = {})
2025-03-21T20:22:52.5490930Z     %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 = {})
2025-03-21T20:22:52.5491427Z     %relu_42 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_161,), kwargs = {})
2025-03-21T20:22:52.5492667Z     %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 = {})
2025-03-21T20:22:52.5493184Z     %add_162 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_162, %add_161), kwargs = {})
2025-03-21T20:22:52.5494013Z     %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 = {})
2025-03-21T20:22:52.5494843Z     %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 = {})
2025-03-21T20:22:52.5495991Z     %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 = {})
2025-03-21T20:22:52.5496490Z     %relu_43 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_163,), kwargs = {})
2025-03-21T20:22:52.5497561Z     %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 = {})
2025-03-21T20:22:52.5498240Z     %add_164 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_164, %add_163), kwargs = {})
2025-03-21T20:22:52.5498986Z     %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 = {})
2025-03-21T20:22:52.5499818Z     %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 = {})
2025-03-21T20:22:52.5501024Z     %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 = {})
2025-03-21T20:22:52.5501608Z     %dropout_22 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_165, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5502121Z     %add_166 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_22, %add_152), kwargs = {})
2025-03-21T20:22:52.5502923Z     %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 = {})
2025-03-21T20:22:52.5503714Z     %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 = {})
2025-03-21T20:22:52.5504530Z     %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 = {})
2025-03-21T20:22:52.5505079Z     %detach__10 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_10,), kwargs = {})
2025-03-21T20:22:52.5506273Z     %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 = {})
2025-03-21T20:22:52.5507082Z     %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 = {})
2025-03-21T20:22:52.5507872Z     %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 = {})
2025-03-21T20:22:52.5509094Z     %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 = {})
2025-03-21T20:22:52.5509945Z     %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 = {})
2025-03-21T20:22:52.5510743Z     %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 = {})
2025-03-21T20:22:52.5511904Z     %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 = {})
2025-03-21T20:22:52.5513032Z     %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 = {})
2025-03-21T20:22:52.5514321Z     %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 = {})
2025-03-21T20:22:52.5514862Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_168, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5515441Z     %permute_44 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_44, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5516058Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_169, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5516674Z     %permute_45 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5517217Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_170, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5517791Z     %permute_46 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_46, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5518376Z     %transpose_11 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_45, -1, -2), kwargs = {})
2025-03-21T20:22:52.5518957Z     %matmul_22 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_44, %transpose_11), kwargs = {})
2025-03-21T20:22:52.5519496Z     %div_11 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_22, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5519981Z     %add_170 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_11, %mul), kwargs = {})
2025-03-21T20:22:52.5520489Z     %softmax_11 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_170, -1), kwargs = {})
2025-03-21T20:22:52.5521067Z     %dropout_23 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_11, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5521656Z     %matmul_23 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_23, %permute_46), kwargs = {})
2025-03-21T20:22:52.5522230Z     %permute_47 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5522814Z     %contiguous_11 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_47,), kwargs = {})
2025-03-21T20:22:52.5523358Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_11, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5524555Z     %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 = {})
2025-03-21T20:22:52.5525069Z     %add_171 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_171, %add_168), kwargs = {})
2025-03-21T20:22:52.5525870Z     %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 = {})
2025-03-21T20:22:52.5526658Z     %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 = {})
2025-03-21T20:22:52.5527977Z     %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 = {})
2025-03-21T20:22:52.5528462Z     %relu_44 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_172,), kwargs = {})
2025-03-21T20:22:52.5530112Z     %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 = {})
2025-03-21T20:22:52.5530646Z     %add_173 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_173, %add_172), kwargs = {})
2025-03-21T20:22:52.5531724Z     %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 = {})
2025-03-21T20:22:52.5532587Z     %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 = {})
2025-03-21T20:22:52.5533896Z     %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 = {})
2025-03-21T20:22:52.5534401Z     %relu_45 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_174,), kwargs = {})
2025-03-21T20:22:52.5535644Z     %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 = {})
2025-03-21T20:22:52.5536161Z     %add_175 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_175, %add_174), kwargs = {})
2025-03-21T20:22:52.5536991Z     %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 = {})
2025-03-21T20:22:52.5537822Z     %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 = {})
2025-03-21T20:22:52.5539133Z     %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 = {})
2025-03-21T20:22:52.5539629Z     %relu_46 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_176,), kwargs = {})
2025-03-21T20:22:52.5540867Z     %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 = {})
2025-03-21T20:22:52.5541391Z     %add_177 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_177, %add_176), kwargs = {})
2025-03-21T20:22:52.5542216Z     %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 = {})
2025-03-21T20:22:52.5543046Z     %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 = {})
2025-03-21T20:22:52.5544196Z     %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 = {})
2025-03-21T20:22:52.5544691Z     %relu_47 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_178,), kwargs = {})
2025-03-21T20:22:52.5545946Z     %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 = {})
2025-03-21T20:22:52.5546467Z     %add_179 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_179, %add_178), kwargs = {})
2025-03-21T20:22:52.5547294Z     %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 = {})
2025-03-21T20:22:52.5548050Z     %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 = {})
2025-03-21T20:22:52.5549243Z     %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 = {})
2025-03-21T20:22:52.5549834Z     %dropout_24 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_180, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5550343Z     %add_181 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_24, %add_167), kwargs = {})
2025-03-21T20:22:52.5551146Z     %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 = {})
2025-03-21T20:22:52.5551935Z     %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 = {})
2025-03-21T20:22:52.5552752Z     %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 = {})
2025-03-21T20:22:52.5553317Z     %detach__11 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_11,), kwargs = {})
2025-03-21T20:22:52.5554507Z     %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 = {})
2025-03-21T20:22:52.5555354Z     %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 = {})
2025-03-21T20:22:52.5556148Z     %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 = {})
2025-03-21T20:22:52.5557374Z     %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 = {})
2025-03-21T20:22:52.5558222Z     %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 = {})
2025-03-21T20:22:52.5559030Z     %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 = {})
2025-03-21T20:22:52.5560192Z     %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 = {})
2025-03-21T20:22:52.5561320Z     %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 = {})
2025-03-21T20:22:52.5562646Z     %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 = {})
2025-03-21T20:22:52.5563272Z     %view_48 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_183, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5563878Z     %permute_48 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_48, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5564418Z     %view_49 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_184, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5564996Z     %permute_49 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_49, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5565579Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_185, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5566155Z     %permute_50 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_50, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5566738Z     %transpose_12 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_49, -1, -2), kwargs = {})
2025-03-21T20:22:52.5567321Z     %matmul_24 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_48, %transpose_12), kwargs = {})
2025-03-21T20:22:52.5567852Z     %div_12 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_24, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5568328Z     %add_185 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_12, %mul), kwargs = {})
2025-03-21T20:22:52.5568844Z     %softmax_12 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_185, -1), kwargs = {})
2025-03-21T20:22:52.5569532Z     %dropout_25 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_12, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5570118Z     %matmul_25 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_25, %permute_50), kwargs = {})
2025-03-21T20:22:52.5570706Z     %permute_51 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5571289Z     %contiguous_12 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_51,), kwargs = {})
2025-03-21T20:22:52.5571836Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_12, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5573040Z     %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 = {})
2025-03-21T20:22:52.5573547Z     %add_186 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_186, %add_183), kwargs = {})
2025-03-21T20:22:52.5574467Z     %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 = {})
2025-03-21T20:22:52.5575265Z     %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 = {})
2025-03-21T20:22:52.5576640Z     %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 = {})
2025-03-21T20:22:52.5577658Z     %relu_48 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_187,), kwargs = {})
2025-03-21T20:22:52.5579019Z     %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 = {})
2025-03-21T20:22:52.5579563Z     %add_188 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_188, %add_187), kwargs = {})
2025-03-21T20:22:52.5580418Z     %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 = {})
2025-03-21T20:22:52.5581247Z     %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 = {})
2025-03-21T20:22:52.5582572Z     %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 = {})
2025-03-21T20:22:52.5583066Z     %relu_49 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_189,), kwargs = {})
2025-03-21T20:22:52.5584310Z     %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 = {})
2025-03-21T20:22:52.5584817Z     %add_190 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_190, %add_189), kwargs = {})
2025-03-21T20:22:52.5585667Z     %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 = {})
2025-03-21T20:22:52.5586497Z     %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 = {})
2025-03-21T20:22:52.5587814Z     %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 = {})
2025-03-21T20:22:52.5588302Z     %relu_50 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_191,), kwargs = {})
2025-03-21T20:22:52.5589558Z     %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 = {})
2025-03-21T20:22:52.5590064Z     %add_192 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_192, %add_191), kwargs = {})
2025-03-21T20:22:52.5590906Z     %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 = {})
2025-03-21T20:22:52.5591747Z     %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 = {})
2025-03-21T20:22:52.5592894Z     %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 = {})
2025-03-21T20:22:52.5593516Z     %relu_51 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_193,), kwargs = {})
2025-03-21T20:22:52.5594594Z     %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 = {})
2025-03-21T20:22:52.5595191Z     %add_194 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_194, %add_193), kwargs = {})
2025-03-21T20:22:52.5595984Z     %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 = {})
2025-03-21T20:22:52.5596738Z     %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 = {})
2025-03-21T20:22:52.5598128Z     %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 = {})
2025-03-21T20:22:52.5598923Z     %dropout_26 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_195, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5599669Z     %add_196 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_26, %add_182), kwargs = {})
2025-03-21T20:22:52.5600599Z     %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 = {})
2025-03-21T20:22:52.5601391Z     %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 = {})
2025-03-21T20:22:52.5602218Z     %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 = {})
2025-03-21T20:22:52.5602775Z     %detach__12 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_12,), kwargs = {})
2025-03-21T20:22:52.5603978Z     %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 = {})
2025-03-21T20:22:52.5604805Z     %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 = {})
2025-03-21T20:22:52.5605612Z     %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 = {})
2025-03-21T20:22:52.5606841Z     %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 = {})
2025-03-21T20:22:52.5607696Z     %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 = {})
2025-03-21T20:22:52.5608508Z     %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 = {})
2025-03-21T20:22:52.5609757Z     %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 = {})
2025-03-21T20:22:52.5611018Z     %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 = {})
2025-03-21T20:22:52.5612293Z     %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 = {})
2025-03-21T20:22:52.5612869Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_198, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5613450Z     %permute_52 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_52, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5614000Z     %view_53 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_199, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5614572Z     %permute_53 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_53, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5615110Z     %view_54 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_200, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5615688Z     %permute_54 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_54, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5616262Z     %transpose_13 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_53, -1, -2), kwargs = {})
2025-03-21T20:22:52.5616857Z     %matmul_26 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_52, %transpose_13), kwargs = {})
2025-03-21T20:22:52.5617387Z     %div_13 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_26, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5617861Z     %add_200 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_13, %mul), kwargs = {})
2025-03-21T20:22:52.5618364Z     %softmax_13 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_200, -1), kwargs = {})
2025-03-21T20:22:52.5618946Z     %dropout_27 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_13, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5619524Z     %matmul_27 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_27, %permute_54), kwargs = {})
2025-03-21T20:22:52.5620098Z     %permute_55 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_27, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5620675Z     %contiguous_13 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_55,), kwargs = {})
2025-03-21T20:22:52.5621225Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_13, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5622418Z     %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 = {})
2025-03-21T20:22:52.5622933Z     %add_201 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_201, %add_198), kwargs = {})
2025-03-21T20:22:52.5623741Z     %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 = {})
2025-03-21T20:22:52.5624528Z     %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 = {})
2025-03-21T20:22:52.5625998Z     %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 = {})
2025-03-21T20:22:52.5626494Z     %relu_52 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_202,), kwargs = {})
2025-03-21T20:22:52.5627831Z     %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 = {})
2025-03-21T20:22:52.5628376Z     %add_203 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_203, %add_202), kwargs = {})
2025-03-21T20:22:52.5629228Z     %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 = {})
2025-03-21T20:22:52.5630248Z     %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 = {})
2025-03-21T20:22:52.5631586Z     %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 = {})
2025-03-21T20:22:52.5632072Z     %relu_53 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_204,), kwargs = {})
2025-03-21T20:22:52.5633318Z     %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 = {})
2025-03-21T20:22:52.5633828Z     %add_205 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_205, %add_204), kwargs = {})
2025-03-21T20:22:52.5634665Z     %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 = {})
2025-03-21T20:22:52.5635494Z     %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 = {})
2025-03-21T20:22:52.5636803Z     %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 = {})
2025-03-21T20:22:52.5637292Z     %relu_54 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_206,), kwargs = {})
2025-03-21T20:22:52.5638537Z     %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 = {})
2025-03-21T20:22:52.5639051Z     %add_207 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_207, %add_206), kwargs = {})
2025-03-21T20:22:52.5639894Z     %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 = {})
2025-03-21T20:22:52.5640718Z     %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 = {})
2025-03-21T20:22:52.5642140Z     %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 = {})
2025-03-21T20:22:52.5642624Z     %relu_55 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_208,), kwargs = {})
2025-03-21T20:22:52.5643837Z     %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 = {})
2025-03-21T20:22:52.5644358Z     %add_209 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_209, %add_208), kwargs = {})
2025-03-21T20:22:52.5645108Z     %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 = {})
2025-03-21T20:22:52.5645863Z     %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 = {})
2025-03-21T20:22:52.5647058Z     %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 = {})
2025-03-21T20:22:52.5647644Z     %dropout_28 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_210, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5648149Z     %add_211 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_28, %add_197), kwargs = {})
2025-03-21T20:22:52.5648958Z     %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 = {})
2025-03-21T20:22:52.5649853Z     %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 = {})
2025-03-21T20:22:52.5650683Z     %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 = {})
2025-03-21T20:22:52.5651242Z     %detach__13 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_13,), kwargs = {})
2025-03-21T20:22:52.5652438Z     %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 = {})
2025-03-21T20:22:52.5653272Z     %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 = {})
2025-03-21T20:22:52.5654067Z     %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 = {})
2025-03-21T20:22:52.5655303Z     %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 = {})
2025-03-21T20:22:52.5656155Z     %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 = {})
2025-03-21T20:22:52.5656964Z     %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 = {})
2025-03-21T20:22:52.5658271Z     %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 = {})
2025-03-21T20:22:52.5659483Z     %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 = {})
2025-03-21T20:22:52.5660658Z     %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 = {})
2025-03-21T20:22:52.5661207Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_213, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5661784Z     %permute_56 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_56, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5662321Z     %view_57 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_214, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5662902Z     %permute_57 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_57, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5663440Z     %view_58 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_215, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5664014Z     %permute_58 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_58, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5664587Z     %transpose_14 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_57, -1, -2), kwargs = {})
2025-03-21T20:22:52.5665182Z     %matmul_28 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_56, %transpose_14), kwargs = {})
2025-03-21T20:22:52.5665704Z     %div_14 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_28, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5666193Z     %add_215 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_14, %mul), kwargs = {})
2025-03-21T20:22:52.5666699Z     %softmax_14 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_215, -1), kwargs = {})
2025-03-21T20:22:52.5667279Z     %dropout_29 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_14, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5667859Z     %matmul_29 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_29, %permute_58), kwargs = {})
2025-03-21T20:22:52.5668441Z     %permute_59 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5669019Z     %contiguous_14 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_59,), kwargs = {})
2025-03-21T20:22:52.5669562Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_14, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5670759Z     %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 = {})
2025-03-21T20:22:52.5671267Z     %add_216 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_216, %add_213), kwargs = {})
2025-03-21T20:22:52.5672078Z     %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 = {})
2025-03-21T20:22:52.5673013Z     %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 = {})
2025-03-21T20:22:52.5674438Z     %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 = {})
2025-03-21T20:22:52.5674939Z     %relu_56 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_217,), kwargs = {})
2025-03-21T20:22:52.5676195Z     %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 = {})
2025-03-21T20:22:52.5676713Z     %add_218 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_218, %add_217), kwargs = {})
2025-03-21T20:22:52.5677555Z     %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 = {})
2025-03-21T20:22:52.5678385Z     %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 = {})
2025-03-21T20:22:52.5679701Z     %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 = {})
2025-03-21T20:22:52.5680203Z     %relu_57 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_219,), kwargs = {})
2025-03-21T20:22:52.5681454Z     %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 = {})
2025-03-21T20:22:52.5681970Z     %add_220 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_220, %add_219), kwargs = {})
2025-03-21T20:22:52.5682816Z     %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 = {})
2025-03-21T20:22:52.5683650Z     %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 = {})
2025-03-21T20:22:52.5684982Z     %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 = {})
2025-03-21T20:22:52.5685481Z     %relu_58 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_221,), kwargs = {})
2025-03-21T20:22:52.5686743Z     %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 = {})
2025-03-21T20:22:52.5687260Z     %add_222 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_222, %add_221), kwargs = {})
2025-03-21T20:22:52.5688116Z     %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 = {})
2025-03-21T20:22:52.5689052Z     %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 = {})
2025-03-21T20:22:52.5690399Z     %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 = {})
2025-03-21T20:22:52.5690893Z     %relu_59 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_223,), kwargs = {})
2025-03-21T20:22:52.5691968Z     %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 = {})
2025-03-21T20:22:52.5692479Z     %add_224 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_224, %add_223), kwargs = {})
2025-03-21T20:22:52.5693231Z     %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 = {})
2025-03-21T20:22:52.5693976Z     %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 = {})
2025-03-21T20:22:52.5695173Z     %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 = {})
2025-03-21T20:22:52.5695751Z     %dropout_30 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_225, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5696261Z     %add_226 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_30, %add_212), kwargs = {})
2025-03-21T20:22:52.5697067Z     %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 = {})
2025-03-21T20:22:52.5697859Z     %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 = {})
2025-03-21T20:22:52.5698675Z     %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 = {})
2025-03-21T20:22:52.5699226Z     %detach__14 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_14,), kwargs = {})
2025-03-21T20:22:52.5700416Z     %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 = {})
2025-03-21T20:22:52.5701231Z     %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 = {})
2025-03-21T20:22:52.5702027Z     %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 = {})
2025-03-21T20:22:52.5703251Z     %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 = {})
2025-03-21T20:22:52.5704208Z     %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 = {})
2025-03-21T20:22:52.5705023Z     %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 = {})
2025-03-21T20:22:52.5706270Z     %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 = {})
2025-03-21T20:22:52.5707412Z     %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 = {})
2025-03-21T20:22:52.5708574Z     %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 = {})
2025-03-21T20:22:52.5709109Z     %view_60 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_228, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5709685Z     %permute_60 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_60, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5710220Z     %view_61 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_229, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5710794Z     %permute_61 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_61, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5711327Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_230, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5711905Z     %permute_62 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_62, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5712475Z     %transpose_15 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_61, -1, -2), kwargs = {})
2025-03-21T20:22:52.5713058Z     %matmul_30 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_60, %transpose_15), kwargs = {})
2025-03-21T20:22:52.5713583Z     %div_15 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_30, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5714062Z     %add_230 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_15, %mul), kwargs = {})
2025-03-21T20:22:52.5714562Z     %softmax_15 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_230, -1), kwargs = {})
2025-03-21T20:22:52.5715145Z     %dropout_31 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_15, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5715720Z     %matmul_31 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_31, %permute_62), kwargs = {})
2025-03-21T20:22:52.5716293Z     %permute_63 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_31, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5716871Z     %contiguous_15 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_63,), kwargs = {})
2025-03-21T20:22:52.5717413Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_15, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5718605Z     %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 = {})
2025-03-21T20:22:52.5719226Z     %add_231 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_231, %add_228), kwargs = {})
2025-03-21T20:22:52.5720028Z     %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 = {})
2025-03-21T20:22:52.5720919Z     %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 = {})
2025-03-21T20:22:52.5722246Z     %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 = {})
2025-03-21T20:22:52.5722731Z     %relu_60 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_232,), kwargs = {})
2025-03-21T20:22:52.5723983Z     %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 = {})
2025-03-21T20:22:52.5724493Z     %add_233 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_233, %add_232), kwargs = {})
2025-03-21T20:22:52.5725339Z     %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 = {})
2025-03-21T20:22:52.5726161Z     %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 = {})
2025-03-21T20:22:52.5727467Z     %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 = {})
2025-03-21T20:22:52.5727960Z     %relu_61 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_234,), kwargs = {})
2025-03-21T20:22:52.5729206Z     %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 = {})
2025-03-21T20:22:52.5729966Z     %add_235 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_235, %add_234), kwargs = {})
2025-03-21T20:22:52.5730810Z     %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 = {})
2025-03-21T20:22:52.5731643Z     %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 = {})
2025-03-21T20:22:52.5732955Z     %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 = {})
2025-03-21T20:22:52.5733440Z     %relu_62 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_236,), kwargs = {})
2025-03-21T20:22:52.5734682Z     %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 = {})
2025-03-21T20:22:52.5735539Z     %add_237 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_237, %add_236), kwargs = {})
2025-03-21T20:22:52.5736381Z     %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 = {})
2025-03-21T20:22:52.5737391Z     %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 = {})
2025-03-21T20:22:52.5738560Z     %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 = {})
2025-03-21T20:22:52.5739043Z     %relu_63 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_238,), kwargs = {})
2025-03-21T20:22:52.5740124Z     %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 = {})
2025-03-21T20:22:52.5740626Z     %add_239 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_239, %add_238), kwargs = {})
2025-03-21T20:22:52.5741384Z     %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 = {})
2025-03-21T20:22:52.5742123Z     %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 = {})
2025-03-21T20:22:52.5743321Z     %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 = {})
2025-03-21T20:22:52.5743908Z     %dropout_32 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_240, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5744423Z     %add_241 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_32, %add_227), kwargs = {})
2025-03-21T20:22:52.5745225Z     %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 = {})
2025-03-21T20:22:52.5746015Z     %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 = {})
2025-03-21T20:22:52.5746828Z     %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 = {})
2025-03-21T20:22:52.5747385Z     %detach__15 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_15,), kwargs = {})
2025-03-21T20:22:52.5748569Z     %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 = {})
2025-03-21T20:22:52.5749394Z     %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 = {})
2025-03-21T20:22:52.5750184Z     %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 = {})
2025-03-21T20:22:52.5751509Z     %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 = {})
2025-03-21T20:22:52.5752359Z     %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 = {})
2025-03-21T20:22:52.5753240Z     %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 = {})
2025-03-21T20:22:52.5754420Z     %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 = {})
2025-03-21T20:22:52.5755557Z     %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 = {})
2025-03-21T20:22:52.5756716Z     %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 = {})
2025-03-21T20:22:52.5757259Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_243, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5757834Z     %permute_64 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_64, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5758371Z     %view_65 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_244, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5758951Z     %permute_65 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_65, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5759486Z     %view_66 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_245, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5760056Z     %permute_66 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_66, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5760631Z     %transpose_16 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_65, -1, -2), kwargs = {})
2025-03-21T20:22:52.5761215Z     %matmul_32 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_64, %transpose_16), kwargs = {})
2025-03-21T20:22:52.5761737Z     %div_16 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_32, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5762217Z     %add_245 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_16, %mul), kwargs = {})
2025-03-21T20:22:52.5762722Z     %softmax_16 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_245, -1), kwargs = {})
2025-03-21T20:22:52.5763304Z     %dropout_33 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_16, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5763875Z     %matmul_33 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_33, %permute_66), kwargs = {})
2025-03-21T20:22:52.5764455Z     %permute_67 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5765030Z     %contiguous_16 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_67,), kwargs = {})
2025-03-21T20:22:52.5765576Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_16, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5766920Z     %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 = {})
2025-03-21T20:22:52.5767426Z     %add_246 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_246, %add_243), kwargs = {})
2025-03-21T20:22:52.5768317Z     %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 = {})
2025-03-21T20:22:52.5769113Z     %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 = {})
2025-03-21T20:22:52.5770523Z     %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 = {})
2025-03-21T20:22:52.5771029Z     %relu_64 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_247,), kwargs = {})
2025-03-21T20:22:52.5772283Z     %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 = {})
2025-03-21T20:22:52.5772792Z     %add_248 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_248, %add_247), kwargs = {})
2025-03-21T20:22:52.5773635Z     %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 = {})
2025-03-21T20:22:52.5774468Z     %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 = {})
2025-03-21T20:22:52.5775779Z     %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 = {})
2025-03-21T20:22:52.5776276Z     %relu_65 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_249,), kwargs = {})
2025-03-21T20:22:52.5777521Z     %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 = {})
2025-03-21T20:22:52.5778035Z     %add_250 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_250, %add_249), kwargs = {})
2025-03-21T20:22:52.5778875Z     %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 = {})
2025-03-21T20:22:52.5779702Z     %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 = {})
2025-03-21T20:22:52.5781025Z     %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 = {})
2025-03-21T20:22:52.5781519Z     %relu_66 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_251,), kwargs = {})
2025-03-21T20:22:52.5782883Z     %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 = {})
2025-03-21T20:22:52.5783392Z     %add_252 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_252, %add_251), kwargs = {})
2025-03-21T20:22:52.5784324Z     %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 = {})
2025-03-21T20:22:52.5785188Z     %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 = {})
2025-03-21T20:22:52.5786346Z     %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 = {})
2025-03-21T20:22:52.5786837Z     %relu_67 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_253,), kwargs = {})
2025-03-21T20:22:52.5787919Z     %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 = {})
2025-03-21T20:22:52.5788426Z     %add_254 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_254, %add_253), kwargs = {})
2025-03-21T20:22:52.5789185Z     %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 = {})
2025-03-21T20:22:52.5789930Z     %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 = {})
2025-03-21T20:22:52.5791144Z     %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 = {})
2025-03-21T20:22:52.5791733Z     %dropout_34 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_255, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5792250Z     %add_256 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_34, %add_242), kwargs = {})
2025-03-21T20:22:52.5793058Z     %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 = {})
2025-03-21T20:22:52.5793860Z     %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 = {})
2025-03-21T20:22:52.5794681Z     %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 = {})
2025-03-21T20:22:52.5795244Z     %detach__16 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_16,), kwargs = {})
2025-03-21T20:22:52.5796437Z     %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 = {})
2025-03-21T20:22:52.5797269Z     %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 = {})
2025-03-21T20:22:52.5798226Z     %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 = {})
2025-03-21T20:22:52.5799472Z     %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 = {})
2025-03-21T20:22:52.5800401Z     %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 = {})
2025-03-21T20:22:52.5801248Z     %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 = {})
2025-03-21T20:22:52.5802404Z     %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 = {})
2025-03-21T20:22:52.5803547Z     %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 = {})
2025-03-21T20:22:52.5804708Z     %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 = {})
2025-03-21T20:22:52.5805254Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_258, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5805824Z     %permute_68 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_68, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5806369Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_259, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5806949Z     %permute_69 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_69, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5807492Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_260, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5808066Z     %permute_70 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_70, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5808633Z     %transpose_17 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_69, -1, -2), kwargs = {})
2025-03-21T20:22:52.5809218Z     %matmul_34 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_68, %transpose_17), kwargs = {})
2025-03-21T20:22:52.5809831Z     %div_17 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_34, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5810313Z     %add_260 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_17, %mul), kwargs = {})
2025-03-21T20:22:52.5810810Z     %softmax_17 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_260, -1), kwargs = {})
2025-03-21T20:22:52.5811402Z     %dropout_35 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_17, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5811977Z     %matmul_35 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_35, %permute_70), kwargs = {})
2025-03-21T20:22:52.5812562Z     %permute_71 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_35, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5813264Z     %contiguous_17 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_71,), kwargs = {})
2025-03-21T20:22:52.5813815Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_17, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5815009Z     %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 = {})
2025-03-21T20:22:52.5815602Z     %add_261 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_261, %add_258), kwargs = {})
2025-03-21T20:22:52.5816425Z     %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 = {})
2025-03-21T20:22:52.5817215Z     %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 = {})
2025-03-21T20:22:52.5818535Z     %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 = {})
2025-03-21T20:22:52.5819025Z     %relu_68 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_262,), kwargs = {})
2025-03-21T20:22:52.5820274Z     %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 = {})
2025-03-21T20:22:52.5820782Z     %add_263 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_263, %add_262), kwargs = {})
2025-03-21T20:22:52.5821631Z     %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 = {})
2025-03-21T20:22:52.5822460Z     %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 = {})
2025-03-21T20:22:52.5823780Z     %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 = {})
2025-03-21T20:22:52.5824270Z     %relu_69 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_264,), kwargs = {})
2025-03-21T20:22:52.5825518Z     %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 = {})
2025-03-21T20:22:52.5826031Z     %add_265 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_265, %add_264), kwargs = {})
2025-03-21T20:22:52.5826883Z     %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 = {})
2025-03-21T20:22:52.5827709Z     %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 = {})
2025-03-21T20:22:52.5829027Z     %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 = {})
2025-03-21T20:22:52.5829797Z     %relu_70 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_266,), kwargs = {})
2025-03-21T20:22:52.5831289Z     %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 = {})
2025-03-21T20:22:52.5831809Z     %add_267 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_267, %add_266), kwargs = {})
2025-03-21T20:22:52.5832668Z     %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 = {})
2025-03-21T20:22:52.5833490Z     %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 = {})
2025-03-21T20:22:52.5834649Z     %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 = {})
2025-03-21T20:22:52.5835135Z     %relu_71 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_268,), kwargs = {})
2025-03-21T20:22:52.5836213Z     %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 = {})
2025-03-21T20:22:52.5852584Z     %add_269 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_269, %add_268), kwargs = {})
2025-03-21T20:22:52.5853504Z     %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 = {})
2025-03-21T20:22:52.5854254Z     %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 = {})
2025-03-21T20:22:52.5855462Z     %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 = {})
2025-03-21T20:22:52.5856048Z     %dropout_36 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_270, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5856551Z     %add_271 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_36, %add_257), kwargs = {})
2025-03-21T20:22:52.5857367Z     %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 = {})
2025-03-21T20:22:52.5858156Z     %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 = {})
2025-03-21T20:22:52.5858984Z     %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 = {})
2025-03-21T20:22:52.5859537Z     %detach__17 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_17,), kwargs = {})
2025-03-21T20:22:52.5860724Z     %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 = {})
2025-03-21T20:22:52.5862012Z     %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 = {})
2025-03-21T20:22:52.5862808Z     %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 = {})
2025-03-21T20:22:52.5864181Z     %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 = {})
2025-03-21T20:22:52.5865063Z     %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 = {})
2025-03-21T20:22:52.5865883Z     %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 = {})
2025-03-21T20:22:52.5867050Z     %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 = {})
2025-03-21T20:22:52.5868189Z     %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 = {})
2025-03-21T20:22:52.5869353Z     %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 = {})
2025-03-21T20:22:52.5869903Z     %view_72 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_273, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5870481Z     %permute_72 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_72, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5871028Z     %view_73 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_274, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5871600Z     %permute_73 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_73, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5872147Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_275, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5872715Z     %permute_74 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_74, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5873309Z     %transpose_18 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_73, -1, -2), kwargs = {})
2025-03-21T20:22:52.5873888Z     %matmul_36 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_72, %transpose_18), kwargs = {})
2025-03-21T20:22:52.5874420Z     %div_18 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_36, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5874899Z     %add_275 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_18, %mul), kwargs = {})
2025-03-21T20:22:52.5875411Z     %softmax_18 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_275, -1), kwargs = {})
2025-03-21T20:22:52.5875988Z     %dropout_37 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_18, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5876567Z     %matmul_37 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_37, %permute_74), kwargs = {})
2025-03-21T20:22:52.5877259Z     %permute_75 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_37, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5877844Z     %contiguous_18 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_75,), kwargs = {})
2025-03-21T20:22:52.5878390Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_18, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5879678Z     %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 = {})
2025-03-21T20:22:52.5880209Z     %add_276 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_276, %add_273), kwargs = {})
2025-03-21T20:22:52.5881022Z     %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 = {})
2025-03-21T20:22:52.5881823Z     %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 = {})
2025-03-21T20:22:52.5883138Z     %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 = {})
2025-03-21T20:22:52.5883635Z     %relu_72 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_277,), kwargs = {})
2025-03-21T20:22:52.5884877Z     %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 = {})
2025-03-21T20:22:52.5885403Z     %add_278 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_278, %add_277), kwargs = {})
2025-03-21T20:22:52.5886240Z     %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 = {})
2025-03-21T20:22:52.5887081Z     %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 = {})
2025-03-21T20:22:52.5888392Z     %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 = {})
2025-03-21T20:22:52.5888895Z     %relu_73 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_279,), kwargs = {})
2025-03-21T20:22:52.5890250Z     %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 = {})
2025-03-21T20:22:52.5890774Z     %add_280 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_280, %add_279), kwargs = {})
2025-03-21T20:22:52.5891605Z     %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 = {})
2025-03-21T20:22:52.5892435Z     %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 = {})
2025-03-21T20:22:52.5893851Z     %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 = {})
2025-03-21T20:22:52.5894343Z     %relu_74 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_281,), kwargs = {})
2025-03-21T20:22:52.5895666Z     %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 = {})
2025-03-21T20:22:52.5896205Z     %add_282 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_282, %add_281), kwargs = {})
2025-03-21T20:22:52.5897052Z     %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 = {})
2025-03-21T20:22:52.5897891Z     %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 = {})
2025-03-21T20:22:52.5899044Z     %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 = {})
2025-03-21T20:22:52.5899536Z     %relu_75 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_283,), kwargs = {})
2025-03-21T20:22:52.5900609Z     %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 = {})
2025-03-21T20:22:52.5901130Z     %add_284 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_284, %add_283), kwargs = {})
2025-03-21T20:22:52.5901882Z     %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 = {})
2025-03-21T20:22:52.5902635Z     %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 = {})
2025-03-21T20:22:52.5903830Z     %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 = {})
2025-03-21T20:22:52.5904414Z     %dropout_38 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_285, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5904931Z     %add_286 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_38, %add_272), kwargs = {})
2025-03-21T20:22:52.5905741Z     %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 = {})
2025-03-21T20:22:52.5906543Z     %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 = {})
2025-03-21T20:22:52.5907366Z     %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 = {})
2025-03-21T20:22:52.5907919Z     %detach__18 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_18,), kwargs = {})
2025-03-21T20:22:52.5909236Z     %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 = {})
2025-03-21T20:22:52.5910061Z     %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 = {})
2025-03-21T20:22:52.5910982Z     %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 = {})
2025-03-21T20:22:52.5912224Z     %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 = {})
2025-03-21T20:22:52.5913084Z     %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 = {})
2025-03-21T20:22:52.5913891Z     %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 = {})
2025-03-21T20:22:52.5915063Z     %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 = {})
2025-03-21T20:22:52.5916195Z     %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 = {})
2025-03-21T20:22:52.5917362Z     %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 = {})
2025-03-21T20:22:52.5917900Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_288, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5918480Z     %permute_76 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_76, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5919019Z     %view_77 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_289, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5919591Z     %permute_77 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_77, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5920128Z     %view_78 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_290, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5920709Z     %permute_78 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_78, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5921284Z     %transpose_19 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_77, -1, -2), kwargs = {})
2025-03-21T20:22:52.5921862Z     %matmul_38 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_76, %transpose_19), kwargs = {})
2025-03-21T20:22:52.5922397Z     %div_19 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_38, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5922873Z     %add_290 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_19, %mul), kwargs = {})
2025-03-21T20:22:52.5923378Z     %softmax_19 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_290, -1), kwargs = {})
2025-03-21T20:22:52.5924069Z     %dropout_39 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_19, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5924652Z     %matmul_39 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_39, %permute_78), kwargs = {})
2025-03-21T20:22:52.5925230Z     %permute_79 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_39, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5925913Z     %contiguous_19 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_79,), kwargs = {})
2025-03-21T20:22:52.5926488Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_19, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5927693Z     %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 = {})
2025-03-21T20:22:52.5928212Z     %add_291 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_291, %add_288), kwargs = {})
2025-03-21T20:22:52.5929024Z     %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 = {})
2025-03-21T20:22:52.5930285Z     %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 = {})
2025-03-21T20:22:52.5931609Z     %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 = {})
2025-03-21T20:22:52.5932095Z     %relu_76 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_292,), kwargs = {})
2025-03-21T20:22:52.5933351Z     %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 = {})
2025-03-21T20:22:52.5933858Z     %add_293 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_293, %add_292), kwargs = {})
2025-03-21T20:22:52.5934709Z     %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 = {})
2025-03-21T20:22:52.5935539Z     %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 = {})
2025-03-21T20:22:52.5936859Z     %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 = {})
2025-03-21T20:22:52.5937343Z     %relu_77 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_294,), kwargs = {})
2025-03-21T20:22:52.5938599Z     %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 = {})
2025-03-21T20:22:52.5939106Z     %add_295 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_295, %add_294), kwargs = {})
2025-03-21T20:22:52.5939938Z     %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 = {})
2025-03-21T20:22:52.5941069Z     %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 = {})
2025-03-21T20:22:52.5942538Z     %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 = {})
2025-03-21T20:22:52.5943058Z     %relu_78 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_296,), kwargs = {})
2025-03-21T20:22:52.5944298Z     %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 = {})
2025-03-21T20:22:52.5944821Z     %add_297 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_297, %add_296), kwargs = {})
2025-03-21T20:22:52.5945663Z     %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 = {})
2025-03-21T20:22:52.5946548Z     %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 = {})
2025-03-21T20:22:52.5947699Z     %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 = {})
2025-03-21T20:22:52.5948192Z     %relu_79 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_298,), kwargs = {})
2025-03-21T20:22:52.5949272Z     %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 = {})
2025-03-21T20:22:52.5949786Z     %add_299 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_299, %add_298), kwargs = {})
2025-03-21T20:22:52.5950541Z     %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 = {})
2025-03-21T20:22:52.5951355Z     %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 = {})
2025-03-21T20:22:52.5952552Z     %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 = {})
2025-03-21T20:22:52.5953146Z     %dropout_40 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_300, 0.0, False), kwargs = {})
2025-03-21T20:22:52.5953657Z     %add_301 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_40, %add_287), kwargs = {})
2025-03-21T20:22:52.5954472Z     %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 = {})
2025-03-21T20:22:52.5955268Z     %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 = {})
2025-03-21T20:22:52.5956087Z     %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 = {})
2025-03-21T20:22:52.5956780Z     %detach__19 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_19,), kwargs = {})
2025-03-21T20:22:52.5958053Z     %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 = {})
2025-03-21T20:22:52.5958887Z     %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 = {})
2025-03-21T20:22:52.5959685Z     %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 = {})
2025-03-21T20:22:52.5960923Z     %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 = {})
2025-03-21T20:22:52.5961778Z     %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 = {})
2025-03-21T20:22:52.5962596Z     %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 = {})
2025-03-21T20:22:52.5963765Z     %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 = {})
2025-03-21T20:22:52.5964904Z     %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 = {})
2025-03-21T20:22:52.5966070Z     %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 = {})
2025-03-21T20:22:52.5966623Z     %view_80 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_303, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5967202Z     %permute_80 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_80, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5967742Z     %view_81 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_304, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5968325Z     %permute_81 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_81, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5968862Z     %view_82 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_305, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.5969544Z     %permute_82 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_82, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5970133Z     %transpose_20 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_81, -1, -2), kwargs = {})
2025-03-21T20:22:52.5970724Z     %matmul_40 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_80, %transpose_20), kwargs = {})
2025-03-21T20:22:52.5971248Z     %div_20 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_40, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.5971841Z     %add_305 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_20, %mul), kwargs = {})
2025-03-21T20:22:52.5972349Z     %softmax_20 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_305, -1), kwargs = {})
2025-03-21T20:22:52.5972933Z     %dropout_41 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_20, 0.1, False), kwargs = {})
2025-03-21T20:22:52.5973595Z     %matmul_41 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_41, %permute_82), kwargs = {})
2025-03-21T20:22:52.5974205Z     %permute_83 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.5974783Z     %contiguous_20 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_83,), kwargs = {})
2025-03-21T20:22:52.5975330Z     %view_83 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_20, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.5976531Z     %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 = {})
2025-03-21T20:22:52.5977036Z     %add_306 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_306, %add_303), kwargs = {})
2025-03-21T20:22:52.5977849Z     %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 = {})
2025-03-21T20:22:52.5978640Z     %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 = {})
2025-03-21T20:22:52.5979955Z     %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 = {})
2025-03-21T20:22:52.5980450Z     %relu_80 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_307,), kwargs = {})
2025-03-21T20:22:52.5981706Z     %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 = {})
2025-03-21T20:22:52.5982217Z     %add_308 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_308, %add_307), kwargs = {})
2025-03-21T20:22:52.5983054Z     %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 = {})
2025-03-21T20:22:52.5983892Z     %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 = {})
2025-03-21T20:22:52.5985205Z     %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 = {})
2025-03-21T20:22:52.5985700Z     %relu_81 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_309,), kwargs = {})
2025-03-21T20:22:52.5986949Z     %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 = {})
2025-03-21T20:22:52.5987639Z     %add_310 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_310, %add_309), kwargs = {})
2025-03-21T20:22:52.5988485Z     %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 = {})
2025-03-21T20:22:52.5989453Z     %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 = {})
2025-03-21T20:22:52.5990791Z     %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 = {})
2025-03-21T20:22:52.5991276Z     %relu_82 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_311,), kwargs = {})
2025-03-21T20:22:52.5992529Z     %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 = {})
2025-03-21T20:22:52.5993035Z     %add_312 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_312, %add_311), kwargs = {})
2025-03-21T20:22:52.5993880Z     %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 = {})
2025-03-21T20:22:52.5994703Z     %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 = {})
2025-03-21T20:22:52.5995854Z     %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 = {})
2025-03-21T20:22:52.5996347Z     %relu_83 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_313,), kwargs = {})
2025-03-21T20:22:52.5997424Z     %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 = {})
2025-03-21T20:22:52.5997938Z     %add_314 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_314, %add_313), kwargs = {})
2025-03-21T20:22:52.5998691Z     %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 = {})
2025-03-21T20:22:52.5999455Z     %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 = {})
2025-03-21T20:22:52.6000646Z     %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 = {})
2025-03-21T20:22:52.6001242Z     %dropout_42 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_315, 0.0, False), kwargs = {})
2025-03-21T20:22:52.6001754Z     %add_316 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_42, %add_302), kwargs = {})
2025-03-21T20:22:52.6002571Z     %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 = {})
2025-03-21T20:22:52.6003574Z     %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 = {})
2025-03-21T20:22:52.6004400Z     %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 = {})
2025-03-21T20:22:52.6004957Z     %detach__20 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_20,), kwargs = {})
2025-03-21T20:22:52.6006237Z     %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 = {})
2025-03-21T20:22:52.6007096Z     %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 = {})
2025-03-21T20:22:52.6007908Z     %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 = {})
2025-03-21T20:22:52.6009133Z     %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 = {})
2025-03-21T20:22:52.6010087Z     %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 = {})
2025-03-21T20:22:52.6010905Z     %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 = {})
2025-03-21T20:22:52.6012070Z     %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 = {})
2025-03-21T20:22:52.6013194Z     %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 = {})
2025-03-21T20:22:52.6014356Z     %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 = {})
2025-03-21T20:22:52.6014893Z     %view_84 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_318, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6015473Z     %permute_84 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_84, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6016013Z     %view_85 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_319, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6016587Z     %permute_85 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_85, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6017126Z     %view_86 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_320, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6017696Z     %permute_86 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_86, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6018264Z     %transpose_21 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_85, -1, -2), kwargs = {})
2025-03-21T20:22:52.6018845Z     %matmul_42 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_84, %transpose_21), kwargs = {})
2025-03-21T20:22:52.6019509Z     %div_21 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_42, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.6019987Z     %add_320 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_21, %mul), kwargs = {})
2025-03-21T20:22:52.6020502Z     %softmax_21 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_320, -1), kwargs = {})
2025-03-21T20:22:52.6021160Z     %dropout_43 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_21, 0.1, False), kwargs = {})
2025-03-21T20:22:52.6021771Z     %matmul_43 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_43, %permute_86), kwargs = {})
2025-03-21T20:22:52.6022356Z     %permute_87 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_43, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6028895Z     %contiguous_21 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_87,), kwargs = {})
2025-03-21T20:22:52.6029631Z     %view_87 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_21, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.6030856Z     %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 = {})
2025-03-21T20:22:52.6031370Z     %add_321 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_321, %add_318), kwargs = {})
2025-03-21T20:22:52.6032180Z     %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 = {})
2025-03-21T20:22:52.6032968Z     %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 = {})
2025-03-21T20:22:52.6034330Z     %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 = {})
2025-03-21T20:22:52.6034828Z     %relu_84 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_322,), kwargs = {})
2025-03-21T20:22:52.6036071Z     %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 = {})
2025-03-21T20:22:52.6036585Z     %add_323 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_323, %add_322), kwargs = {})
2025-03-21T20:22:52.6037421Z     %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 = {})
2025-03-21T20:22:52.6038277Z     %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 = {})
2025-03-21T20:22:52.6039593Z     %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 = {})
2025-03-21T20:22:52.6040084Z     %relu_85 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_324,), kwargs = {})
2025-03-21T20:22:52.6041321Z     %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 = {})
2025-03-21T20:22:52.6042112Z     %add_325 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_325, %add_324), kwargs = {})
2025-03-21T20:22:52.6043113Z     %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 = {})
2025-03-21T20:22:52.6043983Z     %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 = {})
2025-03-21T20:22:52.6045301Z     %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 = {})
2025-03-21T20:22:52.6046001Z     %relu_86 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_326,), kwargs = {})
2025-03-21T20:22:52.6047246Z     %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 = {})
2025-03-21T20:22:52.6047759Z     %add_327 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_327, %add_326), kwargs = {})
2025-03-21T20:22:52.6048592Z     %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 = {})
2025-03-21T20:22:52.6049529Z     %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 = {})
2025-03-21T20:22:52.6050689Z     %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 = {})
2025-03-21T20:22:52.6051186Z     %relu_87 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_328,), kwargs = {})
2025-03-21T20:22:52.6052251Z     %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 = {})
2025-03-21T20:22:52.6052767Z     %add_329 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_329, %add_328), kwargs = {})
2025-03-21T20:22:52.6053520Z     %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 = {})
2025-03-21T20:22:52.6054266Z     %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 = {})
2025-03-21T20:22:52.6055462Z     %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 = {})
2025-03-21T20:22:52.6056045Z     %dropout_44 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_330, 0.0, False), kwargs = {})
2025-03-21T20:22:52.6056547Z     %add_331 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_44, %add_317), kwargs = {})
2025-03-21T20:22:52.6057473Z     %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 = {})
2025-03-21T20:22:52.6058269Z     %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 = {})
2025-03-21T20:22:52.6059187Z     %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 = {})
2025-03-21T20:22:52.6059770Z     %detach__21 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_21,), kwargs = {})
2025-03-21T20:22:52.6060964Z     %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 = {})
2025-03-21T20:22:52.6061922Z     %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 = {})
2025-03-21T20:22:52.6062714Z     %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 = {})
2025-03-21T20:22:52.6063956Z     %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 = {})
2025-03-21T20:22:52.6064812Z     %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 = {})
2025-03-21T20:22:52.6065627Z     %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 = {})
2025-03-21T20:22:52.6066794Z     %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 = {})
2025-03-21T20:22:52.6067936Z     %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 = {})
2025-03-21T20:22:52.6069100Z     %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 = {})
2025-03-21T20:22:52.6069646Z     %view_88 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_333, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6070216Z     %permute_88 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_88, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6070766Z     %view_89 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_334, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6071340Z     %permute_89 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_89, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6071882Z     %view_90 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_335, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6072451Z     %permute_90 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_90, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6073139Z     %transpose_22 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_89, -1, -2), kwargs = {})
2025-03-21T20:22:52.6073718Z     %matmul_44 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_88, %transpose_22), kwargs = {})
2025-03-21T20:22:52.6074248Z     %div_22 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_44, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.6074880Z     %add_335 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_22, %mul), kwargs = {})
2025-03-21T20:22:52.6075659Z     %softmax_22 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_335, -1), kwargs = {})
2025-03-21T20:22:52.6076384Z     %dropout_45 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_22, 0.1, False), kwargs = {})
2025-03-21T20:22:52.6077129Z     %matmul_45 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_45, %permute_90), kwargs = {})
2025-03-21T20:22:52.6077987Z     %permute_91 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6078676Z     %contiguous_22 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_91,), kwargs = {})
2025-03-21T20:22:52.6079232Z     %view_91 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_22, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.6080418Z     %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 = {})
2025-03-21T20:22:52.6080931Z     %add_336 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_336, %add_333), kwargs = {})
2025-03-21T20:22:52.6081738Z     %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 = {})
2025-03-21T20:22:52.6082528Z     %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 = {})
2025-03-21T20:22:52.6083831Z     %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 = {})
2025-03-21T20:22:52.6084322Z     %relu_88 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_337,), kwargs = {})
2025-03-21T20:22:52.6085557Z     %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 = {})
2025-03-21T20:22:52.6086075Z     %add_338 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_338, %add_337), kwargs = {})
2025-03-21T20:22:52.6086907Z     %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 = {})
2025-03-21T20:22:52.6087743Z     %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 = {})
2025-03-21T20:22:52.6089046Z     %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 = {})
2025-03-21T20:22:52.6089728Z     %relu_89 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_339,), kwargs = {})
2025-03-21T20:22:52.6090966Z     %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 = {})
2025-03-21T20:22:52.6091575Z     %add_340 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_340, %add_339), kwargs = {})
2025-03-21T20:22:52.6092444Z     %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 = {})
2025-03-21T20:22:52.6093275Z     %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 = {})
2025-03-21T20:22:52.6094670Z     %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 = {})
2025-03-21T20:22:52.6095164Z     %relu_90 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_341,), kwargs = {})
2025-03-21T20:22:52.6096404Z     %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 = {})
2025-03-21T20:22:52.6096921Z     %add_342 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_342, %add_341), kwargs = {})
2025-03-21T20:22:52.6097761Z     %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 = {})
2025-03-21T20:22:52.6098593Z     %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 = {})
2025-03-21T20:22:52.6099746Z     %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 = {})
2025-03-21T20:22:52.6100241Z     %relu_91 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_343,), kwargs = {})
2025-03-21T20:22:52.6101316Z     %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 = {})
2025-03-21T20:22:52.6101838Z     %add_344 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_344, %add_343), kwargs = {})
2025-03-21T20:22:52.6102594Z     %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 = {})
2025-03-21T20:22:52.6103353Z     %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 = {})
2025-03-21T20:22:52.6104554Z     %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 = {})
2025-03-21T20:22:52.6105250Z     %dropout_46 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_345, 0.0, False), kwargs = {})
2025-03-21T20:22:52.6105769Z     %add_346 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_46, %add_332), kwargs = {})
2025-03-21T20:22:52.6106579Z     %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 = {})
2025-03-21T20:22:52.6107482Z     %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 = {})
2025-03-21T20:22:52.6108316Z     %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 = {})
2025-03-21T20:22:52.6108876Z     %detach__22 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_22,), kwargs = {})
2025-03-21T20:22:52.6110167Z     %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 = {})
2025-03-21T20:22:52.6110997Z     %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 = {})
2025-03-21T20:22:52.6111801Z     %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 = {})
2025-03-21T20:22:52.6113033Z     %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 = {})
2025-03-21T20:22:52.6113891Z     %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 = {})
2025-03-21T20:22:52.6114706Z     %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 = {})
2025-03-21T20:22:52.6115873Z     %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 = {})
2025-03-21T20:22:52.6117007Z     %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 = {})
2025-03-21T20:22:52.6118177Z     %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 = {})
2025-03-21T20:22:52.6118717Z     %view_92 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_348, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6119299Z     %permute_92 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_92, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6119842Z     %view_93 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_349, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6120409Z     %permute_93 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_93, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6121037Z     %view_94 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_350, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:22:52.6121613Z     %permute_94 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_94, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6122195Z     %transpose_23 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_93, -1, -2), kwargs = {})
2025-03-21T20:22:52.6122850Z     %matmul_46 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_92, %transpose_23), kwargs = {})
2025-03-21T20:22:52.6123395Z     %div_23 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_46, 5.656854249492381), kwargs = {})
2025-03-21T20:22:52.6123871Z     %add_350 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_23, %mul), kwargs = {})
2025-03-21T20:22:52.6124382Z     %softmax_23 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_350, -1), kwargs = {})
2025-03-21T20:22:52.6125093Z     %dropout_47 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_23, 0.1, False), kwargs = {})
2025-03-21T20:22:52.6125673Z     %matmul_47 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_47, %permute_94), kwargs = {})
2025-03-21T20:22:52.6126250Z     %permute_95 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_47, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:22:52.6126832Z     %contiguous_23 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_95,), kwargs = {})
2025-03-21T20:22:52.6127374Z     %view_95 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_23, [1, 8, 128]), kwargs = {})
2025-03-21T20:22:52.6128552Z     %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 = {})
2025-03-21T20:22:52.6129071Z     %add_351 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_351, %add_348), kwargs = {})
2025-03-21T20:22:52.6130140Z     %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 = {})
2025-03-21T20:22:52.6130946Z     %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 = {})
2025-03-21T20:22:52.6132250Z     %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 = {})
2025-03-21T20:22:52.6132769Z     %relu_92 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_352,), kwargs = {})
2025-03-21T20:22:52.6134010Z     %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 = {})
2025-03-21T20:22:52.6134531Z     %add_353 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_353, %add_352), kwargs = {})
2025-03-21T20:22:52.6135361Z     %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 = {})
2025-03-21T20:22:52.6136181Z     %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 = {})
2025-03-21T20:22:52.6137740Z     %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 = {})
2025-03-21T20:22:52.6138237Z     %relu_93 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_354,), kwargs = {})
2025-03-21T20:22:52.6139620Z     %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 = {})
2025-03-21T20:23:37.7938622Z     %add_355 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_355, %add_354), kwargs = {})
2025-03-21T20:23:37.7940198Z     %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 = {})
2025-03-21T20:23:37.7942577Z     %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 = {})
2025-03-21T20:23:37.7944894Z     %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 = {})
2025-03-21T20:23:37.7946849Z     %relu_94 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_356,), kwargs = {})
2025-03-21T20:23:37.7948740Z     %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 = {})
2025-03-21T20:23:37.7950643Z     %add_357 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_357, %add_356), kwargs = {})
2025-03-21T20:23:37.7952138Z     %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 = {})
2025-03-21T20:23:37.7953955Z     %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 = {})
2025-03-21T20:23:37.7956069Z     %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 = {})
2025-03-21T20:23:37.7957845Z     %relu_95 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_358,), kwargs = {})
2025-03-21T20:23:37.7959557Z     %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 = {})
2025-03-21T20:23:37.7961282Z     %add_359 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_359, %add_358), kwargs = {})
2025-03-21T20:23:37.7962710Z     %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 = {})
2025-03-21T20:23:37.7964367Z     %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 = {})
2025-03-21T20:23:37.7966454Z     %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 = {})
2025-03-21T20:23:37.7968734Z     %dropout_48 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_360, 0.0, False), kwargs = {})
2025-03-21T20:23:37.7987342Z     %add_361 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_48, %add_347), kwargs = {})
2025-03-21T20:23:37.7989273Z     %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 = {})
2025-03-21T20:23:37.7991077Z     %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 = {})
2025-03-21T20:23:37.7992850Z     %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 = {})
2025-03-21T20:23:37.7994516Z     %detach__23 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_23,), kwargs = {})
2025-03-21T20:23:37.7995807Z     %slice_9 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%add_362, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:37.7997026Z     %select : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%slice_9, 1, 0), kwargs = {})
2025-03-21T20:23:37.7997818Z     return (add_362, select)
2025-03-21T20:23:37.7999995Z /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
2025-03-21T20:23:37.8002302Z   getattr_node = gm.graph.get_attr(lifted_node)
2025-03-21T20:23:37.8004230Z /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
2025-03-21T20:23:37.8006102Z   warnings.warn(
2025-03-21T20:23:37.8007899Z /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
2025-03-21T20:23:37.8009885Z   warnings.warn(
2025-03-21T20:23:37.8011658Z /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
2025-03-21T20:23:37.8013527Z   warnings.warn(
2025-03-21T20:23:37.8015367Z /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
2025-03-21T20:23:37.8017232Z   warnings.warn(
2025-03-21T20:23:37.8018998Z /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
2025-03-21T20:23:37.8021014Z   warnings.warn(
2025-03-21T20:23:37.8022011Z /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
2025-03-21T20:23:37.8023079Z   warnings.warn(
2025-03-21T20:23:37.8024949Z /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.)
2025-03-21T20:23:37.8026972Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:23:37.8027583Z [INFO 2025-03-21 20:23:37,792 utils.py:70] Exported graph:
2025-03-21T20:23:37.8028103Z ExportedProgram:
2025-03-21T20:23:37.8028492Z     class GraphModule(torch.nn.Module):
2025-03-21T20:23:37.8358711Z         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]", p_encoder_layer_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_3_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_3_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_3_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_3_attention_output_dense_bias: "f32[128]", p_encoder_layer_3_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_3_attention_self_query_bias: "f32[128]", p_encoder_layer_3_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_3_attention_self_key_bias: "f32[128]", p_encoder_layer_3_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_3_attention_self_value_bias: "f32[128]", p_encoder_layer_3_output_layernorm_bias: "f32[128]", p_encoder_layer_3_output_layernorm_weight: "f32[128]", p_encoder_layer_3_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_3_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_3_output_bottleneck_dense_weight: "f32[512, 128]", 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]", p_encoder_layer_3_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_3_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_3_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_3_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_3_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_3_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_3_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_3_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_3_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_3_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_3_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_3_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_3_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_3_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_3_intermediate_dense_bias: "f32[512]", p_encoder_layer_4_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_4_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_4_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_4_attention_output_dense_bias: "f32[128]", p_encoder_layer_4_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_4_attention_self_query_bias: "f32[128]", p_encoder_layer_4_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_4_attention_self_key_bias: "f32[128]", p_encoder_layer_4_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_4_attention_self_value_bias: "f32[128]", p_encoder_layer_4_output_layernorm_bias: "f32[128]", p_encoder_layer_4_output_layernorm_weight: "f32[128]", p_encoder_layer_4_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_4_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_4_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_4_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_4_output_dense_weight: "f32[128, 512]", p_encoder_layer_4_output_dense_bias: "f32[128]", p_encoder_layer_4_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_4_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_4_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_4_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_4_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_4_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_4_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_4_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_4_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_4_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_4_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_4_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_4_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_4_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_4_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_4_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_4_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_4_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_4_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_4_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_4_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_4_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_4_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_4_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_4_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_4_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_4_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_4_intermediate_dense_bias: "f32[512]", p_encoder_layer_5_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_5_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_5_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_5_attention_output_dense_bias: "f32[128]", p_encoder_layer_5_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_5_attention_self_query_bias: "f32[128]", p_encoder_layer_5_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_5_attention_self_key_bias: "f32[128]", p_encoder_layer_5_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_5_attention_self_value_bias: "f32[128]", p_encoder_layer_5_output_layernorm_bias: "f32[128]", p_encoder_layer_5_output_layernorm_weight: "f32[128]", p_encoder_layer_5_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_5_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_5_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_5_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_5_output_dense_weight: "f32[128, 512]", p_encoder_layer_5_output_dense_bias: "f32[128]", p_encoder_layer_5_bottleneck_input_layernorm_bias: "f32[128]", 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p_encoder_layer_18_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_18_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_18_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_18_intermediate_dense_bias: "f32[512]", p_encoder_layer_19_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_19_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_19_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_19_attention_output_dense_bias: "f32[128]", p_encoder_layer_19_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_19_attention_self_query_bias: "f32[128]", p_encoder_layer_19_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_19_attention_self_key_bias: "f32[128]", p_encoder_layer_19_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_19_attention_self_value_bias: "f32[128]", p_encoder_layer_19_output_layernorm_bias: "f32[128]", p_encoder_layer_19_output_layernorm_weight: "f32[128]", 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p_encoder_layer_19_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_19_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_19_intermediate_dense_bias: "f32[512]", p_encoder_layer_20_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_20_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_20_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_20_attention_output_dense_bias: "f32[128]", p_encoder_layer_20_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_20_attention_self_query_bias: "f32[128]", p_encoder_layer_20_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_20_attention_self_key_bias: "f32[128]", p_encoder_layer_20_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_20_attention_self_value_bias: "f32[128]", p_encoder_layer_20_output_layernorm_bias: "f32[128]", p_encoder_layer_20_output_layernorm_weight: "f32[128]", p_encoder_layer_20_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_20_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_20_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_20_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_20_output_dense_weight: "f32[128, 512]", p_encoder_layer_20_output_dense_bias: "f32[128]", p_encoder_layer_20_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_20_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_20_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_20_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_20_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_20_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_20_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_20_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_20_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_20_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_20_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_20_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_20_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_20_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_20_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_20_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_20_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_20_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_20_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_20_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_20_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_20_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_20_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_20_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_20_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_20_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_20_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_20_intermediate_dense_bias: "f32[512]", p_encoder_layer_21_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_21_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_21_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_21_attention_output_dense_bias: "f32[128]", p_encoder_layer_21_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_21_attention_self_query_bias: "f32[128]", p_encoder_layer_21_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_21_attention_self_key_bias: "f32[128]", p_encoder_layer_21_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_21_attention_self_value_bias: "f32[128]", p_encoder_layer_21_output_layernorm_bias: "f32[128]", p_encoder_layer_21_output_layernorm_weight: "f32[128]", p_encoder_layer_21_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_21_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_21_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_21_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_21_output_dense_weight: "f32[128, 512]", p_encoder_layer_21_output_dense_bias: "f32[128]", p_encoder_layer_21_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_21_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_21_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_21_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_21_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_21_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_21_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_21_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_21_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_21_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_21_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_21_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_21_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_21_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_21_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_21_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_21_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_21_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_21_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_21_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_21_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_21_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_21_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_21_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_21_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_21_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_21_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_21_intermediate_dense_bias: "f32[512]", p_encoder_layer_22_attention_output_layernorm_bias: 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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: 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"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]"):
2025-03-21T20:23:37.8709955Z              # 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)
2025-03-21T20:23:37.8712079Z             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)
2025-03-21T20:23:37.8713217Z             
2025-03-21T20:23:37.8714555Z              # 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)
2025-03-21T20:23:37.8716686Z             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)
2025-03-21T20:23:37.8717804Z             
2025-03-21T20:23:37.8718995Z              # 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, :]
2025-03-21T20:23:37.8720887Z             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
2025-03-21T20:23:37.8722620Z             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
2025-03-21T20:23:37.8723746Z             
2025-03-21T20:23:37.8725063Z              # 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
2025-03-21T20:23:37.8727324Z             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
2025-03-21T20:23:37.8730167Z             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
2025-03-21T20:23:37.8731275Z             
2025-03-21T20:23:37.8732741Z              # 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]
2025-03-21T20:23:37.8734716Z             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
2025-03-21T20:23:37.8735774Z             
2025-03-21T20:23:37.8736989Z              # 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)
2025-03-21T20:23:37.8739311Z             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
2025-03-21T20:23:37.8740572Z             
2025-03-21T20:23:37.8741872Z              # 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),
2025-03-21T20:23:37.8743794Z             aten_slice_copy_tensor_1: "f32[1, 7, 128]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_embedding_default, 1, 1, 9223372036854775807)
2025-03-21T20:23:37.8744729Z             
2025-03-21T20:23:37.8745678Z              # 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)
2025-03-21T20:23:37.8747454Z             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
2025-03-21T20:23:37.8748580Z             
2025-03-21T20:23:37.8749887Z              # 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),
2025-03-21T20:23:37.8751739Z             aten_slice_copy_tensor_2: "f32[1, 7, 128]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_embedding_default, 1, 0, -1)
2025-03-21T20:23:37.8752618Z             
2025-03-21T20:23:37.8753558Z              # 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)
2025-03-21T20:23:37.8755328Z             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
2025-03-21T20:23:37.8756459Z             
2025-03-21T20:23:37.8757535Z              # 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(
2025-03-21T20:23:37.8759871Z             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
2025-03-21T20:23:37.8761441Z             
2025-03-21T20:23:37.8762706Z              # 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)
2025-03-21T20:23:37.8764811Z             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
2025-03-21T20:23:37.8766669Z             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
2025-03-21T20:23:37.8769527Z             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
2025-03-21T20:23:37.8771888Z             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
2025-03-21T20:23:37.8773001Z             
2025-03-21T20:23:37.8774288Z              # 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)
2025-03-21T20:23:37.8776725Z             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
2025-03-21T20:23:37.8778216Z             
2025-03-21T20:23:37.8779511Z              # 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)
2025-03-21T20:23:37.8781929Z             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
2025-03-21T20:23:37.8783372Z             
2025-03-21T20:23:37.8784693Z              # 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
2025-03-21T20:23:37.8786881Z             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
2025-03-21T20:23:37.8788761Z             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
2025-03-21T20:23:37.8789866Z             
2025-03-21T20:23:37.8791051Z              # 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
2025-03-21T20:23:37.8793112Z             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
2025-03-21T20:23:37.8795038Z             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
2025-03-21T20:23:37.8796199Z             
2025-03-21T20:23:37.8797349Z              # 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)
2025-03-21T20:23:37.8799065Z             aten_clone_default: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_add_tensor_2);  aten_add_tensor_2 = None
2025-03-21T20:23:37.8800143Z             
2025-03-21T20:23:37.8801294Z              # 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)
2025-03-21T20:23:37.8802972Z             aten_view_copy_default_2: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:23:37.8804853Z             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
2025-03-21T20:23:37.8807545Z             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
2025-03-21T20:23:37.8810080Z             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
2025-03-21T20:23:37.8811119Z             
2025-03-21T20:23:37.8812310Z              # 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
2025-03-21T20:23:37.8814663Z             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
2025-03-21T20:23:37.8817104Z             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
2025-03-21T20:23:37.8818474Z             
2025-03-21T20:23:37.8819623Z              # 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)
2025-03-21T20:23:37.8821303Z             aten_view_copy_default_4: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:23:37.8823115Z             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
2025-03-21T20:23:37.8825876Z             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
2025-03-21T20:23:37.8828276Z             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
2025-03-21T20:23:37.8829467Z             
2025-03-21T20:23:37.8830665Z              # 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
2025-03-21T20:23:37.8833067Z             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
2025-03-21T20:23:37.8835599Z             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
2025-03-21T20:23:37.8837310Z             
2025-03-21T20:23:37.8838490Z              # 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)
2025-03-21T20:23:37.8840406Z             aten_view_copy_default_6: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_4, [8, 128])
2025-03-21T20:23:37.8842167Z             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
2025-03-21T20:23:37.8844802Z             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
2025-03-21T20:23:37.8847296Z             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
2025-03-21T20:23:37.8848324Z             
2025-03-21T20:23:37.8849578Z              # 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)
2025-03-21T20:23:37.8851405Z             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
2025-03-21T20:23:37.8853243Z             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
2025-03-21T20:23:37.8855800Z             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
2025-03-21T20:23:37.8858089Z             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
2025-03-21T20:23:37.8859112Z             
2025-03-21T20:23:37.8860289Z              # 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)
2025-03-21T20:23:37.8862003Z             aten_view_copy_default_10: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:23:37.8863751Z             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
2025-03-21T20:23:37.8866368Z             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
2025-03-21T20:23:37.8868696Z             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
2025-03-21T20:23:37.8869725Z             
2025-03-21T20:23:37.8870862Z              # 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)
2025-03-21T20:23:37.8872895Z             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
2025-03-21T20:23:37.8873953Z             
2025-03-21T20:23:37.8875114Z              # 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)
2025-03-21T20:23:37.8877179Z             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
2025-03-21T20:23:37.8878306Z             
2025-03-21T20:23:37.8879438Z              # 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)
2025-03-21T20:23:37.8881398Z             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
2025-03-21T20:23:37.8882498Z             
2025-03-21T20:23:37.8883664Z              # 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)
2025-03-21T20:23:37.8885604Z             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
2025-03-21T20:23:37.8886712Z             
2025-03-21T20:23:37.8887841Z              # 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)
2025-03-21T20:23:37.8889842Z             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
2025-03-21T20:23:37.8890929Z             
2025-03-21T20:23:37.8892094Z              # 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)
2025-03-21T20:23:37.8894045Z             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
2025-03-21T20:23:37.8895138Z             
2025-03-21T20:23:37.8896478Z              # 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))
2025-03-21T20:23:37.8898623Z             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
2025-03-21T20:23:37.8900452Z             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
2025-03-21T20:23:37.8902212Z             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
2025-03-21T20:23:37.8903977Z             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
2025-03-21T20:23:37.8905744Z             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
2025-03-21T20:23:37.8907778Z             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
2025-03-21T20:23:37.8909551Z             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
2025-03-21T20:23:37.8910554Z             
2025-03-21T20:23:37.8912014Z              # 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)
2025-03-21T20:23:37.8914275Z             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
2025-03-21T20:23:37.8915545Z             
2025-03-21T20:23:37.8916777Z              # 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
2025-03-21T20:23:37.8918596Z             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
2025-03-21T20:23:37.8919517Z             
2025-03-21T20:23:37.8920831Z              # 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)
2025-03-21T20:23:37.8922784Z             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
2025-03-21T20:23:37.8923761Z             
2025-03-21T20:23:37.8924956Z              # 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)
2025-03-21T20:23:37.8926776Z             aten_clone_default_1: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default);  aten__softmax_default = None
2025-03-21T20:23:37.8927723Z             
2025-03-21T20:23:37.8928981Z              # 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)
2025-03-21T20:23:37.8931328Z             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
2025-03-21T20:23:37.8933019Z             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
2025-03-21T20:23:37.8934797Z             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
2025-03-21T20:23:37.8936558Z             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
2025-03-21T20:23:37.8938415Z             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
2025-03-21T20:23:37.8940197Z             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
2025-03-21T20:23:37.8941462Z             
2025-03-21T20:23:37.8942740Z              # 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()
2025-03-21T20:23:37.8944791Z             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
2025-03-21T20:23:37.8946928Z             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
2025-03-21T20:23:37.8948208Z             
2025-03-21T20:23:37.8949508Z              # 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)
2025-03-21T20:23:37.8951471Z             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
2025-03-21T20:23:37.8952662Z             
2025-03-21T20:23:37.8953826Z              # 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)
2025-03-21T20:23:37.8955733Z             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
2025-03-21T20:23:37.8957678Z             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
2025-03-21T20:23:37.8960351Z             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
2025-03-21T20:23:37.8962702Z             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
2025-03-21T20:23:37.8963720Z             
2025-03-21T20:23:37.8965003Z              # 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)
2025-03-21T20:23:37.8967065Z             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
2025-03-21T20:23:37.8968185Z             
2025-03-21T20:23:37.8969477Z              # 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
2025-03-21T20:23:37.8971732Z             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
2025-03-21T20:23:37.8974092Z             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
2025-03-21T20:23:37.8975454Z             
2025-03-21T20:23:37.8976655Z              # 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)
2025-03-21T20:23:37.8978577Z             aten_view_copy_default_24: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_7, [8, 128])
2025-03-21T20:23:37.8980349Z             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
2025-03-21T20:23:37.8983199Z             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
2025-03-21T20:23:37.8985611Z             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
2025-03-21T20:23:37.8986740Z             
2025-03-21T20:23:37.8987982Z              # 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)
2025-03-21T20:23:37.8989862Z             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
2025-03-21T20:23:37.8990817Z             
2025-03-21T20:23:37.8991975Z              # 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)
2025-03-21T20:23:37.8993786Z             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
2025-03-21T20:23:37.8995606Z             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
2025-03-21T20:23:37.8998144Z             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
2025-03-21T20:23:37.9000435Z             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
2025-03-21T20:23:37.9001452Z             
2025-03-21T20:23:37.9002727Z              # 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)
2025-03-21T20:23:37.9004796Z             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
2025-03-21T20:23:37.9005907Z             
2025-03-21T20:23:37.9007081Z              # 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
2025-03-21T20:23:37.9009277Z             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
2025-03-21T20:23:37.9011616Z             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
2025-03-21T20:23:37.9013092Z             
2025-03-21T20:23:37.9014265Z              # 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)
2025-03-21T20:23:37.9015952Z             aten_view_copy_default_28: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_9, [8, 128])
2025-03-21T20:23:37.9017834Z             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
2025-03-21T20:23:37.9020562Z             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
2025-03-21T20:23:37.9023021Z             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
2025-03-21T20:23:37.9024047Z             
2025-03-21T20:23:37.9025281Z              # 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)
2025-03-21T20:23:37.9027169Z             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
2025-03-21T20:23:37.9028140Z             
2025-03-21T20:23:37.9029572Z              # 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)
2025-03-21T20:23:37.9031440Z             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
2025-03-21T20:23:37.9033292Z             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
2025-03-21T20:23:37.9035829Z             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
2025-03-21T20:23:37.9038112Z             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
2025-03-21T20:23:37.9039127Z             
2025-03-21T20:23:37.9040395Z              # 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)
2025-03-21T20:23:37.9042454Z             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
2025-03-21T20:23:37.9043560Z             
2025-03-21T20:23:37.9044737Z              # 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
2025-03-21T20:23:37.9046936Z             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
2025-03-21T20:23:37.9049543Z             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
2025-03-21T20:23:37.9050882Z             
2025-03-21T20:23:37.9052069Z              # 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)
2025-03-21T20:23:37.9053965Z             aten_view_copy_default_32: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_11, [8, 128])
2025-03-21T20:23:37.9055786Z             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
2025-03-21T20:23:37.9058478Z             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
2025-03-21T20:23:37.9060977Z             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
2025-03-21T20:23:37.9062005Z             
2025-03-21T20:23:37.9063285Z              # 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)
2025-03-21T20:23:37.9065185Z             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
2025-03-21T20:23:37.9066165Z             
2025-03-21T20:23:37.9067334Z              # 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)
2025-03-21T20:23:37.9069178Z             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
2025-03-21T20:23:37.9071039Z             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
2025-03-21T20:23:37.9073585Z             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
2025-03-21T20:23:37.9075889Z             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
2025-03-21T20:23:37.9076918Z             
2025-03-21T20:23:37.9078196Z              # 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)
2025-03-21T20:23:37.9080281Z             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
2025-03-21T20:23:37.9081397Z             
2025-03-21T20:23:37.9082576Z              # 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
2025-03-21T20:23:37.9084906Z             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
2025-03-21T20:23:37.9087156Z             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
2025-03-21T20:23:37.9088468Z             
2025-03-21T20:23:37.9089855Z              # 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)
2025-03-21T20:23:37.9091612Z             aten_view_copy_default_36: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_13, [8, 128])
2025-03-21T20:23:37.9093350Z             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
2025-03-21T20:23:37.9096103Z             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
2025-03-21T20:23:37.9098436Z             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
2025-03-21T20:23:37.9099474Z             
2025-03-21T20:23:37.9100807Z              # 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)
2025-03-21T20:23:37.9102789Z             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
2025-03-21T20:23:37.9103767Z             
2025-03-21T20:23:37.9104993Z              # 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)
2025-03-21T20:23:37.9106868Z             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
2025-03-21T20:23:37.9108668Z             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
2025-03-21T20:23:37.9142108Z             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
2025-03-21T20:23:37.9144473Z             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
2025-03-21T20:23:37.9145502Z             
2025-03-21T20:23:37.9146804Z              # 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)
2025-03-21T20:23:37.9148869Z             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
2025-03-21T20:23:37.9149989Z             
2025-03-21T20:23:37.9151574Z              # 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
2025-03-21T20:23:37.9153744Z             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
2025-03-21T20:23:37.9156104Z             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
2025-03-21T20:23:37.9157463Z             
2025-03-21T20:23:37.9158655Z              # 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)
2025-03-21T20:23:37.9160486Z             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
2025-03-21T20:23:37.9162557Z             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
2025-03-21T20:23:37.9165300Z             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
2025-03-21T20:23:37.9167681Z             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
2025-03-21T20:23:37.9168704Z             
2025-03-21T20:23:37.9170263Z              # 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)
2025-03-21T20:23:37.9172103Z             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
2025-03-21T20:23:37.9173080Z             
2025-03-21T20:23:37.9174363Z              # 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)
2025-03-21T20:23:37.9176414Z             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
2025-03-21T20:23:37.9177502Z             
2025-03-21T20:23:37.9178670Z              # 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
2025-03-21T20:23:37.9180951Z             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
2025-03-21T20:23:37.9183351Z             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
2025-03-21T20:23:37.9184736Z             
2025-03-21T20:23:37.9185886Z              # 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)
2025-03-21T20:23:37.9187784Z             aten_view_copy_default_42: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:23:37.9189551Z             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
2025-03-21T20:23:37.9192369Z             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
2025-03-21T20:23:37.9194801Z             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
2025-03-21T20:23:37.9195841Z             
2025-03-21T20:23:37.9197134Z              # 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
2025-03-21T20:23:37.9199478Z             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
2025-03-21T20:23:37.9201946Z             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
2025-03-21T20:23:37.9203322Z             
2025-03-21T20:23:37.9204462Z              # 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)
2025-03-21T20:23:37.9206139Z             aten_view_copy_default_44: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:23:37.9207936Z             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
2025-03-21T20:23:37.9210802Z             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
2025-03-21T20:23:37.9213226Z             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
2025-03-21T20:23:37.9214250Z             
2025-03-21T20:23:37.9215430Z              # 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
2025-03-21T20:23:37.9217826Z             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
2025-03-21T20:23:37.9220362Z             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
2025-03-21T20:23:37.9221777Z             
2025-03-21T20:23:37.9222945Z              # 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)
2025-03-21T20:23:37.9224818Z             aten_view_copy_default_46: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_19, [8, 128])
2025-03-21T20:23:37.9226662Z             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
2025-03-21T20:23:37.9229535Z             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
2025-03-21T20:23:37.9231882Z             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
2025-03-21T20:23:37.9233130Z             
2025-03-21T20:23:37.9234275Z              # 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)
2025-03-21T20:23:37.9236085Z             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
2025-03-21T20:23:37.9237917Z             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
2025-03-21T20:23:37.9240466Z             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
2025-03-21T20:23:37.9242780Z             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
2025-03-21T20:23:37.9243806Z             
2025-03-21T20:23:37.9244980Z              # 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)
2025-03-21T20:23:37.9246672Z             aten_view_copy_default_50: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:23:37.9248395Z             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
2025-03-21T20:23:37.9251100Z             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
2025-03-21T20:23:37.9253441Z             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
2025-03-21T20:23:37.9254472Z             
2025-03-21T20:23:37.9255599Z              # 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)
2025-03-21T20:23:37.9257482Z             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
2025-03-21T20:23:37.9258788Z             
2025-03-21T20:23:37.9259948Z              # 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)
2025-03-21T20:23:37.9261884Z             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
2025-03-21T20:23:37.9263212Z             
2025-03-21T20:23:37.9264372Z              # 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)
2025-03-21T20:23:37.9266256Z             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
2025-03-21T20:23:37.9267420Z             
2025-03-21T20:23:37.9268610Z              # 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)
2025-03-21T20:23:37.9270555Z             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
2025-03-21T20:23:37.9271655Z             
2025-03-21T20:23:37.9272788Z              # 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)
2025-03-21T20:23:37.9274665Z             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
2025-03-21T20:23:37.9275725Z             
2025-03-21T20:23:37.9276894Z              # 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)
2025-03-21T20:23:37.9278833Z             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
2025-03-21T20:23:37.9279937Z             
2025-03-21T20:23:37.9281275Z              # 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))
2025-03-21T20:23:37.9283429Z             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
2025-03-21T20:23:37.9285266Z             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
2025-03-21T20:23:37.9287046Z             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
2025-03-21T20:23:37.9288828Z             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
2025-03-21T20:23:37.9290810Z             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
2025-03-21T20:23:37.9292661Z             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
2025-03-21T20:23:37.9294641Z             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
2025-03-21T20:23:37.9295623Z             
2025-03-21T20:23:37.9297055Z              # 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)
2025-03-21T20:23:37.9299346Z             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
2025-03-21T20:23:37.9300537Z             
2025-03-21T20:23:37.9301757Z              # 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
2025-03-21T20:23:37.9303711Z             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
2025-03-21T20:23:37.9304660Z             
2025-03-21T20:23:37.9305960Z              # 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)
2025-03-21T20:23:37.9307911Z             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
2025-03-21T20:23:37.9308898Z             
2025-03-21T20:23:37.9310094Z              # 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)
2025-03-21T20:23:37.9311927Z             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
2025-03-21T20:23:37.9312885Z             
2025-03-21T20:23:37.9314127Z              # 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)
2025-03-21T20:23:37.9316095Z             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
2025-03-21T20:23:37.9317789Z             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
2025-03-21T20:23:37.9319547Z             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
2025-03-21T20:23:37.9321355Z             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
2025-03-21T20:23:37.9323220Z             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
2025-03-21T20:23:37.9325020Z             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
2025-03-21T20:23:37.9326098Z             
2025-03-21T20:23:37.9327355Z              # 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()
2025-03-21T20:23:37.9329819Z             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
2025-03-21T20:23:37.9331744Z             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
2025-03-21T20:23:37.9333257Z             
2025-03-21T20:23:37.9334554Z              # 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)
2025-03-21T20:23:37.9336523Z             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
2025-03-21T20:23:37.9337725Z             
2025-03-21T20:23:37.9338871Z              # 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)
2025-03-21T20:23:37.9340751Z             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
2025-03-21T20:23:37.9342703Z             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
2025-03-21T20:23:37.9345382Z             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
2025-03-21T20:23:37.9347741Z             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
2025-03-21T20:23:37.9348761Z             
2025-03-21T20:23:37.9350036Z              # 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)
2025-03-21T20:23:37.9352096Z             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
2025-03-21T20:23:37.9353209Z             
2025-03-21T20:23:37.9354378Z              # 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
2025-03-21T20:23:37.9356645Z             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
2025-03-21T20:23:37.9359015Z             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
2025-03-21T20:23:37.9360383Z             
2025-03-21T20:23:37.9361533Z              # 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)
2025-03-21T20:23:37.9363210Z             aten_view_copy_default_64: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_22, [8, 128])
2025-03-21T20:23:37.9365203Z             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
2025-03-21T20:23:37.9368011Z             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
2025-03-21T20:23:37.9370532Z             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
2025-03-21T20:23:37.9371551Z             
2025-03-21T20:23:37.9372797Z              # 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)
2025-03-21T20:23:37.9374797Z             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
2025-03-21T20:23:37.9375785Z             
2025-03-21T20:23:37.9376963Z              # 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)
2025-03-21T20:23:37.9378823Z             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
2025-03-21T20:23:37.9380689Z             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
2025-03-21T20:23:37.9383260Z             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
2025-03-21T20:23:37.9385572Z             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
2025-03-21T20:23:37.9386600Z             
2025-03-21T20:23:37.9387883Z              # 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)
2025-03-21T20:23:37.9389972Z             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
2025-03-21T20:23:37.9391108Z             
2025-03-21T20:23:37.9392288Z              # 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
2025-03-21T20:23:37.9394511Z             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
2025-03-21T20:23:37.9396766Z             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
2025-03-21T20:23:37.9398085Z             
2025-03-21T20:23:37.9399277Z              # 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)
2025-03-21T20:23:37.9401160Z             aten_view_copy_default_68: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_24, [8, 128])
2025-03-21T20:23:37.9402971Z             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
2025-03-21T20:23:37.9405809Z             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
2025-03-21T20:23:37.9408231Z             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
2025-03-21T20:23:37.9409485Z             
2025-03-21T20:23:37.9410753Z              # 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)
2025-03-21T20:23:37.9412640Z             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
2025-03-21T20:23:37.9413599Z             
2025-03-21T20:23:37.9414751Z              # 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)
2025-03-21T20:23:37.9416577Z             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
2025-03-21T20:23:37.9418430Z             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
2025-03-21T20:23:37.9420966Z             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
2025-03-21T20:23:37.9423256Z             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
2025-03-21T20:23:37.9424277Z             
2025-03-21T20:23:37.9425553Z              # 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)
2025-03-21T20:23:37.9427632Z             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
2025-03-21T20:23:37.9428760Z             
2025-03-21T20:23:37.9430127Z              # 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
2025-03-21T20:23:37.9432339Z             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
2025-03-21T20:23:37.9434573Z             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
2025-03-21T20:23:37.9436195Z             
2025-03-21T20:23:37.9437359Z              # 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)
2025-03-21T20:23:37.9439078Z             aten_view_copy_default_72: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_26, [8, 128])
2025-03-21T20:23:37.9441079Z             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
2025-03-21T20:23:37.9443804Z             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
2025-03-21T20:23:37.9446312Z             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
2025-03-21T20:23:37.9447347Z             
2025-03-21T20:23:37.9448605Z              # 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)
2025-03-21T20:23:37.9450591Z             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
2025-03-21T20:23:37.9451552Z             
2025-03-21T20:23:37.9452703Z              # 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)
2025-03-21T20:23:37.9454545Z             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
2025-03-21T20:23:37.9456384Z             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
2025-03-21T20:23:37.9458928Z             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
2025-03-21T20:23:37.9461222Z             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
2025-03-21T20:23:37.9462257Z             
2025-03-21T20:23:37.9463527Z              # 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)
2025-03-21T20:23:37.9465613Z             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
2025-03-21T20:23:37.9466733Z             
2025-03-21T20:23:37.9467901Z              # 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
2025-03-21T20:23:37.9470096Z             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
2025-03-21T20:23:37.9472489Z             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
2025-03-21T20:23:37.9473801Z             
2025-03-21T20:23:37.9475085Z              # 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)
2025-03-21T20:23:37.9476852Z             aten_view_copy_default_76: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_28, [8, 128])
2025-03-21T20:23:37.9478579Z             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
2025-03-21T20:23:37.9481316Z             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
2025-03-21T20:23:37.9483668Z             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
2025-03-21T20:23:37.9484702Z             
2025-03-21T20:23:37.9485940Z              # 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)
2025-03-21T20:23:37.9487816Z             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
2025-03-21T20:23:37.9488789Z             
2025-03-21T20:23:37.9490088Z              # 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)
2025-03-21T20:23:37.9491969Z             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
2025-03-21T20:23:37.9493781Z             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
2025-03-21T20:23:37.9496228Z             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
2025-03-21T20:23:37.9498497Z             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
2025-03-21T20:23:37.9499521Z             
2025-03-21T20:23:37.9500794Z              # 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)
2025-03-21T20:23:37.9502869Z             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
2025-03-21T20:23:37.9503985Z             
2025-03-21T20:23:37.9505149Z              # 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
2025-03-21T20:23:37.9507488Z             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
2025-03-21T20:23:37.9509786Z             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
2025-03-21T20:23:37.9511082Z             
2025-03-21T20:23:37.9512242Z              # 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)
2025-03-21T20:23:37.9514058Z             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
2025-03-21T20:23:37.9516073Z             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
2025-03-21T20:23:37.9518829Z             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
2025-03-21T20:23:37.9521211Z             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
2025-03-21T20:23:37.9522239Z             
2025-03-21T20:23:37.9523411Z              # 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)
2025-03-21T20:23:37.9525258Z             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
2025-03-21T20:23:37.9526234Z             
2025-03-21T20:23:37.9527515Z              # 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)
2025-03-21T20:23:37.9529805Z             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
2025-03-21T20:23:37.9530889Z             
2025-03-21T20:23:37.9532063Z              # 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
2025-03-21T20:23:37.9534348Z             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
2025-03-21T20:23:37.9536756Z             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
2025-03-21T20:23:37.9538139Z             
2025-03-21T20:23:37.9539282Z              # 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)
2025-03-21T20:23:37.9540961Z             aten_view_copy_default_82: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:23:37.9543094Z             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
2025-03-21T20:23:37.9545955Z             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
2025-03-21T20:23:37.9548413Z             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
2025-03-21T20:23:37.9549447Z             
2025-03-21T20:23:37.9550634Z              # 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
2025-03-21T20:23:37.9553179Z             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
2025-03-21T20:23:37.9555660Z             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
2025-03-21T20:23:37.9557033Z             
2025-03-21T20:23:37.9558188Z              # 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)
2025-03-21T20:23:37.9559871Z             aten_view_copy_default_84: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:23:37.9561687Z             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
2025-03-21T20:23:37.9564467Z             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
2025-03-21T20:23:37.9566897Z             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
2025-03-21T20:23:37.9567923Z             
2025-03-21T20:23:37.9569101Z              # 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
2025-03-21T20:23:37.9571617Z             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
2025-03-21T20:23:37.9574175Z             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
2025-03-21T20:23:37.9575596Z             
2025-03-21T20:23:37.9576756Z              # 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)
2025-03-21T20:23:37.9578680Z             aten_view_copy_default_86: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_34, [8, 128])
2025-03-21T20:23:37.9580425Z             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
2025-03-21T20:23:37.9583196Z             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
2025-03-21T20:23:37.9585568Z             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
2025-03-21T20:23:37.9586596Z             
2025-03-21T20:23:37.9587879Z              # 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)
2025-03-21T20:23:37.9589687Z             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
2025-03-21T20:23:37.9591536Z             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
2025-03-21T20:23:37.9594095Z             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
2025-03-21T20:23:37.9596402Z             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
2025-03-21T20:23:37.9597416Z             
2025-03-21T20:23:37.9598583Z              # 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)
2025-03-21T20:23:37.9600290Z             aten_view_copy_default_90: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:23:37.9602019Z             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
2025-03-21T20:23:37.9604626Z             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
2025-03-21T20:23:37.9606965Z             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
2025-03-21T20:23:37.9607991Z             
2025-03-21T20:23:37.9609130Z              # 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)
2025-03-21T20:23:37.9611142Z             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
2025-03-21T20:23:37.9612206Z             
2025-03-21T20:23:37.9613565Z              # 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)
2025-03-21T20:23:37.9615595Z             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
2025-03-21T20:23:37.9616711Z             
2025-03-21T20:23:37.9617969Z              # 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)
2025-03-21T20:23:37.9619897Z             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
2025-03-21T20:23:37.9620972Z             
2025-03-21T20:23:37.9622145Z              # 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)
2025-03-21T20:23:37.9624232Z             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
2025-03-21T20:23:37.9625372Z             
2025-03-21T20:23:37.9626523Z              # 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)
2025-03-21T20:23:37.9628404Z             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
2025-03-21T20:23:37.9629748Z             
2025-03-21T20:23:37.9630911Z              # 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)
2025-03-21T20:23:37.9632873Z             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
2025-03-21T20:23:37.9633979Z             
2025-03-21T20:23:37.9635315Z              # 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))
2025-03-21T20:23:37.9637470Z             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
2025-03-21T20:23:37.9639308Z             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
2025-03-21T20:23:37.9641093Z             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
2025-03-21T20:23:37.9642862Z             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
2025-03-21T20:23:37.9644645Z             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
2025-03-21T20:23:37.9646501Z             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
2025-03-21T20:23:37.9648276Z             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
2025-03-21T20:23:37.9649691Z             
2025-03-21T20:23:37.9651019Z              # 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)
2025-03-21T20:23:37.9653439Z             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
2025-03-21T20:23:37.9654734Z             
2025-03-21T20:23:37.9655972Z              # 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
2025-03-21T20:23:37.9657802Z             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
2025-03-21T20:23:37.9658909Z             
2025-03-21T20:23:37.9660212Z              # 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)
2025-03-21T20:23:37.9662182Z             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
2025-03-21T20:23:37.9663162Z             
2025-03-21T20:23:37.9664386Z              # 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)
2025-03-21T20:23:37.9666221Z             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
2025-03-21T20:23:37.9667246Z             
2025-03-21T20:23:37.9668561Z              # 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)
2025-03-21T20:23:37.9670650Z             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
2025-03-21T20:23:37.9672379Z             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
2025-03-21T20:23:37.9674157Z             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
2025-03-21T20:23:37.9675945Z             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
2025-03-21T20:23:37.9677798Z             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
2025-03-21T20:23:37.9679600Z             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
2025-03-21T20:23:37.9680609Z             
2025-03-21T20:23:37.9681877Z              # 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()
2025-03-21T20:23:37.9683936Z             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
2025-03-21T20:23:37.9686051Z             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
2025-03-21T20:23:37.9687281Z             
2025-03-21T20:23:37.9688669Z              # 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)
2025-03-21T20:23:37.9690818Z             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
2025-03-21T20:23:37.9691838Z             
2025-03-21T20:23:37.9692994Z              # 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)
2025-03-21T20:23:37.9695062Z             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
2025-03-21T20:23:37.9697045Z             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
2025-03-21T20:23:37.9699751Z             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
2025-03-21T20:23:37.9702142Z             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
2025-03-21T20:23:37.9703186Z             
2025-03-21T20:23:37.9704462Z              # 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)
2025-03-21T20:23:37.9706563Z             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
2025-03-21T20:23:37.9707706Z             
2025-03-21T20:23:37.9708882Z              # 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
2025-03-21T20:23:37.9711165Z             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
2025-03-21T20:23:37.9713555Z             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
2025-03-21T20:23:37.9714936Z             
2025-03-21T20:23:37.9716107Z              # 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)
2025-03-21T20:23:37.9717807Z             aten_view_copy_default_104: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_37, [8, 128])
2025-03-21T20:23:37.9719586Z             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
2025-03-21T20:23:37.9722436Z             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
2025-03-21T20:23:37.9724943Z             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
2025-03-21T20:23:37.9726019Z             
2025-03-21T20:23:37.9727264Z              # 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)
2025-03-21T20:23:37.9729606Z             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
2025-03-21T20:23:37.9730622Z             
2025-03-21T20:23:37.9731788Z              # 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)
2025-03-21T20:23:37.9733627Z             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
2025-03-21T20:23:37.9735476Z             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
2025-03-21T20:23:37.9738040Z             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
2025-03-21T20:23:37.9740351Z             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
2025-03-21T20:23:37.9741376Z             
2025-03-21T20:23:37.9742647Z              # 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)
2025-03-21T20:23:37.9744727Z             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
2025-03-21T20:23:37.9745855Z             
2025-03-21T20:23:37.9747029Z              # 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
2025-03-21T20:23:37.9749226Z             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
2025-03-21T20:23:37.9751471Z             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
2025-03-21T20:23:37.9752790Z             
2025-03-21T20:23:37.9753943Z              # 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)
2025-03-21T20:23:37.9755947Z             aten_view_copy_default_108: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_39, [8, 128])
2025-03-21T20:23:37.9757712Z             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
2025-03-21T20:23:37.9760585Z             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
2025-03-21T20:23:37.9763022Z             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
2025-03-21T20:23:37.9764184Z             
2025-03-21T20:23:37.9765424Z              # 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)
2025-03-21T20:23:37.9767317Z             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
2025-03-21T20:23:37.9768291Z             
2025-03-21T20:23:37.9769565Z              # 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)
2025-03-21T20:23:37.9771479Z             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
2025-03-21T20:23:37.9773332Z             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
2025-03-21T20:23:37.9775883Z             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
2025-03-21T20:23:37.9778193Z             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
2025-03-21T20:23:37.9779217Z             
2025-03-21T20:23:37.9780491Z              # 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)
2025-03-21T20:23:37.9782574Z             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
2025-03-21T20:23:37.9783701Z             
2025-03-21T20:23:37.9784873Z              # 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
2025-03-21T20:23:37.9787077Z             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
2025-03-21T20:23:37.9789312Z             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
2025-03-21T20:23:37.9790782Z             
2025-03-21T20:23:37.9791928Z              # 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)
2025-03-21T20:23:37.9793625Z             aten_view_copy_default_112: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_41, [8, 128])
2025-03-21T20:23:37.9795568Z             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
2025-03-21T20:23:37.9798307Z             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
2025-03-21T20:23:37.9800838Z             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
2025-03-21T20:23:37.9801878Z             
2025-03-21T20:23:37.9803126Z              # 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)
2025-03-21T20:23:37.9805037Z             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
2025-03-21T20:23:37.9806031Z             
2025-03-21T20:23:37.9807196Z              # 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)
2025-03-21T20:23:37.9809065Z             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
2025-03-21T20:23:37.9811033Z             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
2025-03-21T20:23:37.9813603Z             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
2025-03-21T20:23:37.9815920Z             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
2025-03-21T20:23:37.9816958Z             
2025-03-21T20:23:37.9818241Z              # 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)
2025-03-21T20:23:37.9820337Z             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
2025-03-21T20:23:37.9821481Z             
2025-03-21T20:23:37.9822709Z              # 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
2025-03-21T20:23:37.9824966Z             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
2025-03-21T20:23:37.9827400Z             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
2025-03-21T20:23:37.9828711Z             
2025-03-21T20:23:37.9830057Z              # 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)
2025-03-21T20:23:37.9831992Z             aten_view_copy_default_116: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_43, [8, 128])
2025-03-21T20:23:37.9833730Z             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
2025-03-21T20:23:37.9836340Z             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
2025-03-21T20:23:37.9838881Z             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
2025-03-21T20:23:37.9839923Z             
2025-03-21T20:23:37.9841159Z              # 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)
2025-03-21T20:23:37.9843040Z             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
2025-03-21T20:23:37.9844019Z             
2025-03-21T20:23:37.9845206Z              # 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)
2025-03-21T20:23:37.9847078Z             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
2025-03-21T20:23:37.9848894Z             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
2025-03-21T20:23:37.9851465Z             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
2025-03-21T20:23:37.9853748Z             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
2025-03-21T20:23:37.9854814Z             
2025-03-21T20:23:37.9856131Z              # 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)
2025-03-21T20:23:37.9858216Z             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
2025-03-21T20:23:37.9859346Z             
2025-03-21T20:23:37.9860524Z              # 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
2025-03-21T20:23:37.9862944Z             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
2025-03-21T20:23:37.9865102Z             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
2025-03-21T20:23:37.9866365Z             
2025-03-21T20:23:37.9867634Z              # 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)
2025-03-21T20:23:37.9869507Z             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
2025-03-21T20:23:37.9871419Z             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
2025-03-21T20:23:37.9874303Z             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
2025-03-21T20:23:37.9876790Z             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
2025-03-21T20:23:37.9877827Z             
2025-03-21T20:23:37.9879012Z              # 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)
2025-03-21T20:23:37.9880871Z             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
2025-03-21T20:23:37.9881866Z             
2025-03-21T20:23:37.9883144Z              # 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)
2025-03-21T20:23:37.9885189Z             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
2025-03-21T20:23:37.9886273Z             
2025-03-21T20:23:37.9887441Z              # 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
2025-03-21T20:23:37.9889835Z             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
2025-03-21T20:23:37.9892241Z             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
2025-03-21T20:23:37.9893637Z             
2025-03-21T20:23:37.9894783Z              # 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)
2025-03-21T20:23:37.9896462Z             aten_view_copy_default_122: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:23:37.9898394Z             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
2025-03-21T20:23:37.9901182Z             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
2025-03-21T20:23:37.9903601Z             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
2025-03-21T20:23:37.9904632Z             
2025-03-21T20:23:37.9905815Z              # 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
2025-03-21T20:23:37.9908288Z             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
2025-03-21T20:23:37.9910764Z             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
2025-03-21T20:23:37.9912143Z             
2025-03-21T20:23:37.9913292Z              # 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)
2025-03-21T20:23:37.9914969Z             aten_view_copy_default_124: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:23:37.9916789Z             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
2025-03-21T20:23:37.9919566Z             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
2025-03-21T20:23:37.9922000Z             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
2025-03-21T20:23:37.9923029Z             
2025-03-21T20:23:37.9924212Z              # 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
2025-03-21T20:23:37.9926619Z             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
2025-03-21T20:23:37.9929172Z             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
2025-03-21T20:23:37.9930874Z             
2025-03-21T20:23:37.9932048Z              # 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)
2025-03-21T20:23:37.9934010Z             aten_view_copy_default_126: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_49, [8, 128])
2025-03-21T20:23:37.9935760Z             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
2025-03-21T20:23:37.9938614Z             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
2025-03-21T20:23:37.9941005Z             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
2025-03-21T20:23:37.9942313Z             
2025-03-21T20:23:37.9943568Z              # 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)
2025-03-21T20:23:37.9945640Z             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
2025-03-21T20:23:37.9947957Z             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
2025-03-21T20:23:37.9950924Z             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
2025-03-21T20:23:37.9953476Z             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
2025-03-21T20:23:37.9954626Z             
2025-03-21T20:23:37.9956036Z              # 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)
2025-03-21T20:23:37.9957965Z             aten_view_copy_default_130: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:23:37.9960008Z             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
2025-03-21T20:23:37.9962968Z             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
2025-03-21T20:23:37.9965399Z             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
2025-03-21T20:23:37.9966432Z             
2025-03-21T20:23:37.9967563Z              # 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)
2025-03-21T20:23:37.9969562Z             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
2025-03-21T20:23:37.9970817Z             
2025-03-21T20:23:37.9972137Z              # 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)
2025-03-21T20:23:37.9974449Z             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
2025-03-21T20:23:37.9975682Z             
2025-03-21T20:23:37.9977140Z              # 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)
2025-03-21T20:23:37.9979271Z             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
2025-03-21T20:23:37.9980347Z             
2025-03-21T20:23:37.9981506Z              # 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)
2025-03-21T20:23:37.9983618Z             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
2025-03-21T20:23:37.9984740Z             
2025-03-21T20:23:37.9985875Z              # 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)
2025-03-21T20:23:37.9987768Z             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
2025-03-21T20:23:37.9988840Z             
2025-03-21T20:23:37.9989997Z              # 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)
2025-03-21T20:23:37.9991948Z             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
2025-03-21T20:23:37.9993058Z             
2025-03-21T20:23:37.9994400Z              # 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))
2025-03-21T20:23:37.9996551Z             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
2025-03-21T20:23:37.9998389Z             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
2025-03-21T20:23:38.0000179Z             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
2025-03-21T20:23:38.0001964Z             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
2025-03-21T20:23:38.0003762Z             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
2025-03-21T20:23:38.0005644Z             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
2025-03-21T20:23:38.0007449Z             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
2025-03-21T20:23:38.0008605Z             
2025-03-21T20:23:38.0010052Z              # 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)
2025-03-21T20:23:38.0012429Z             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
2025-03-21T20:23:38.0013652Z             
2025-03-21T20:23:38.0014886Z              # 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
2025-03-21T20:23:38.0016722Z             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
2025-03-21T20:23:38.0017743Z             
2025-03-21T20:23:38.0019051Z              # 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)
2025-03-21T20:23:38.0021002Z             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
2025-03-21T20:23:38.0021988Z             
2025-03-21T20:23:38.0023181Z              # 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)
2025-03-21T20:23:38.0025010Z             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
2025-03-21T20:23:38.0025975Z             
2025-03-21T20:23:38.0027216Z              # 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)
2025-03-21T20:23:38.0029191Z             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
2025-03-21T20:23:38.0031240Z             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
2025-03-21T20:23:38.0033012Z             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
2025-03-21T20:23:38.0034803Z             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
2025-03-21T20:23:38.0036684Z             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
2025-03-21T20:23:38.0038499Z             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
2025-03-21T20:23:38.0039528Z             
2025-03-21T20:23:38.0040796Z              # 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()
2025-03-21T20:23:38.0042846Z             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
2025-03-21T20:23:38.0045069Z             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
2025-03-21T20:23:38.0046294Z             
2025-03-21T20:23:38.0047719Z              # 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)
2025-03-21T20:23:38.0049879Z             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
2025-03-21T20:23:38.0050941Z             
2025-03-21T20:23:38.0052103Z              # 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)
2025-03-21T20:23:38.0054177Z             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
2025-03-21T20:23:38.0056154Z             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
2025-03-21T20:23:38.0058856Z             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
2025-03-21T20:23:38.0061236Z             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
2025-03-21T20:23:38.0062273Z             
2025-03-21T20:23:38.0063549Z              # 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)
2025-03-21T20:23:38.0065634Z             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
2025-03-21T20:23:38.0066767Z             
2025-03-21T20:23:38.0067947Z              # 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
2025-03-21T20:23:38.0070211Z             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
2025-03-21T20:23:38.0072589Z             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
2025-03-21T20:23:38.0073962Z             
2025-03-21T20:23:38.0075127Z              # 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)
2025-03-21T20:23:38.0076820Z             aten_view_copy_default_144: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_52, [8, 128])
2025-03-21T20:23:38.0078600Z             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
2025-03-21T20:23:38.0081510Z             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
2025-03-21T20:23:38.0084030Z             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
2025-03-21T20:23:38.0085094Z             
2025-03-21T20:23:38.0086340Z              # 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)
2025-03-21T20:23:38.0088365Z             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
2025-03-21T20:23:38.0089477Z             
2025-03-21T20:23:38.0090636Z              # 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)
2025-03-21T20:23:38.0092483Z             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
2025-03-21T20:23:38.0094455Z             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
2025-03-21T20:23:38.0096989Z             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
2025-03-21T20:23:38.0099310Z             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
2025-03-21T20:23:38.0100334Z             
2025-03-21T20:23:38.0101610Z              # 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)
2025-03-21T20:23:38.0103692Z             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
2025-03-21T20:23:38.0104828Z             
2025-03-21T20:23:38.0106009Z              # 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
2025-03-21T20:23:38.0108249Z             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
2025-03-21T20:23:38.0110498Z             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
2025-03-21T20:23:38.0111810Z             
2025-03-21T20:23:38.0112964Z              # 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)
2025-03-21T20:23:38.0114820Z             aten_view_copy_default_148: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_54, [8, 128])
2025-03-21T20:23:38.0116600Z             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
2025-03-21T20:23:38.0119411Z             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
2025-03-21T20:23:38.0121837Z             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
2025-03-21T20:23:38.0123018Z             
2025-03-21T20:23:38.0124274Z              # 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)
2025-03-21T20:23:38.0126175Z             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
2025-03-21T20:23:38.0127165Z             
2025-03-21T20:23:38.0128328Z              # 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)
2025-03-21T20:23:38.0130496Z             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
2025-03-21T20:23:38.0132357Z             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
2025-03-21T20:23:38.0134908Z             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
2025-03-21T20:23:38.0137232Z             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
2025-03-21T20:23:38.0138264Z             
2025-03-21T20:23:38.0139539Z              # 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)
2025-03-21T20:23:38.0141789Z             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
2025-03-21T20:23:38.0143015Z             
2025-03-21T20:23:38.0144527Z              # 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
2025-03-21T20:23:38.0146834Z             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
2025-03-21T20:23:38.0149081Z             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
2025-03-21T20:23:38.0150703Z             
2025-03-21T20:23:38.0151873Z              # 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)
2025-03-21T20:23:38.0153572Z             aten_view_copy_default_152: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_56, [8, 128])
2025-03-21T20:23:38.0155565Z             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
2025-03-21T20:23:38.0158293Z             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
2025-03-21T20:23:38.0160813Z             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
2025-03-21T20:23:38.0161852Z             
2025-03-21T20:23:38.0163090Z              # 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)
2025-03-21T20:23:38.0165314Z             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
2025-03-21T20:23:38.0166609Z             
2025-03-21T20:23:38.0167768Z              # 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)
2025-03-21T20:23:38.0169737Z             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
2025-03-21T20:23:38.0171606Z             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
2025-03-21T20:23:38.0174160Z             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
2025-03-21T20:23:38.0176465Z             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
2025-03-21T20:23:38.0177522Z             
2025-03-21T20:23:38.0178793Z              # 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)
2025-03-21T20:23:38.0180872Z             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
2025-03-21T20:23:38.0181993Z             
2025-03-21T20:23:38.0183172Z              # 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
2025-03-21T20:23:38.0185377Z             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
2025-03-21T20:23:38.0187771Z             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
2025-03-21T20:23:38.0189078Z             
2025-03-21T20:23:38.0190351Z              # 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)
2025-03-21T20:23:38.0192092Z             aten_view_copy_default_156: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_58, [8, 128])
2025-03-21T20:23:38.0193833Z             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
2025-03-21T20:23:38.0196452Z             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
2025-03-21T20:23:38.0198962Z             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
2025-03-21T20:23:38.0200014Z             
2025-03-21T20:23:38.0201249Z              # 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)
2025-03-21T20:23:38.0203143Z             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
2025-03-21T20:23:38.0204139Z             
2025-03-21T20:23:38.0205332Z              # 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)
2025-03-21T20:23:38.0207215Z             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
2025-03-21T20:23:38.0209039Z             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
2025-03-21T20:23:38.0211597Z             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
2025-03-21T20:23:38.0213880Z             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
2025-03-21T20:23:38.0214913Z             
2025-03-21T20:23:38.0216182Z              # 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)
2025-03-21T20:23:38.0218272Z             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
2025-03-21T20:23:38.0219399Z             
2025-03-21T20:23:38.0220586Z              # 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
2025-03-21T20:23:38.0222882Z             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
2025-03-21T20:23:38.0225031Z             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
2025-03-21T20:23:38.0226421Z             
2025-03-21T20:23:38.0227630Z              # 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)
2025-03-21T20:23:38.0229670Z             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
2025-03-21T20:23:38.0231599Z             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
2025-03-21T20:23:38.0234550Z             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
2025-03-21T20:23:38.0236974Z             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
2025-03-21T20:23:38.0238005Z             
2025-03-21T20:23:38.0239186Z              # 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)
2025-03-21T20:23:38.0241042Z             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
2025-03-21T20:23:38.0242032Z             
2025-03-21T20:23:38.0243302Z              # 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)
2025-03-21T20:23:38.0245342Z             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
2025-03-21T20:23:38.0246413Z             
2025-03-21T20:23:38.0247588Z              # 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
2025-03-21T20:23:38.0249978Z             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
2025-03-21T20:23:38.0252382Z             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
2025-03-21T20:23:38.0253769Z             
2025-03-21T20:23:38.0254911Z              # 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)
2025-03-21T20:23:38.0256590Z             aten_view_copy_default_162: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:23:38.0258600Z             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
2025-03-21T20:23:38.0261642Z             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
2025-03-21T20:23:38.0264079Z             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
2025-03-21T20:23:38.0265110Z             
2025-03-21T20:23:38.0266301Z              # 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
2025-03-21T20:23:38.0268794Z             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
2025-03-21T20:23:38.0271281Z             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
2025-03-21T20:23:38.0272664Z             
2025-03-21T20:23:38.0273820Z              # 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)
2025-03-21T20:23:38.0275513Z             aten_view_copy_default_164: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:23:38.0277332Z             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
2025-03-21T20:23:38.0280108Z             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
2025-03-21T20:23:38.0282548Z             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
2025-03-21T20:23:38.0283582Z             
2025-03-21T20:23:38.0284752Z              # 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
2025-03-21T20:23:38.0287158Z             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
2025-03-21T20:23:38.0289831Z             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
2025-03-21T20:23:38.0291257Z             
2025-03-21T20:23:38.0292437Z              # 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)
2025-03-21T20:23:38.0294353Z             aten_view_copy_default_166: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_64, [8, 128])
2025-03-21T20:23:38.0296100Z             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
2025-03-21T20:23:38.0298872Z             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
2025-03-21T20:23:38.0301267Z             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
2025-03-21T20:23:38.0302311Z             
2025-03-21T20:23:38.0303603Z              # 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)
2025-03-21T20:23:38.0305419Z             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
2025-03-21T20:23:38.0307269Z             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
2025-03-21T20:23:38.0309833Z             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
2025-03-21T20:23:38.0312159Z             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
2025-03-21T20:23:38.0313188Z             
2025-03-21T20:23:38.0314352Z              # 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)
2025-03-21T20:23:38.0316053Z             aten_view_copy_default_170: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:23:38.0317778Z             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
2025-03-21T20:23:38.0320396Z             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
2025-03-21T20:23:38.0322751Z             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
2025-03-21T20:23:38.0323778Z             
2025-03-21T20:23:38.0325024Z              # 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)
2025-03-21T20:23:38.0326996Z             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
2025-03-21T20:23:38.0328103Z             
2025-03-21T20:23:38.0329588Z              # 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)
2025-03-21T20:23:38.0331854Z             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
2025-03-21T20:23:38.0332972Z             
2025-03-21T20:23:38.0334332Z              # 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)
2025-03-21T20:23:38.0336299Z             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
2025-03-21T20:23:38.0337380Z             
2025-03-21T20:23:38.0338563Z              # 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)
2025-03-21T20:23:38.0340681Z             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
2025-03-21T20:23:38.0341806Z             
2025-03-21T20:23:38.0342942Z              # 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)
2025-03-21T20:23:38.0363100Z             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
2025-03-21T20:23:38.0364653Z             
2025-03-21T20:23:38.0366136Z              # 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)
2025-03-21T20:23:38.0368166Z             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
2025-03-21T20:23:38.0369280Z             
2025-03-21T20:23:38.0370781Z              # 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))
2025-03-21T20:23:38.0372931Z             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
2025-03-21T20:23:38.0374772Z             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
2025-03-21T20:23:38.0376563Z             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
2025-03-21T20:23:38.0378347Z             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
2025-03-21T20:23:38.0380134Z             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
2025-03-21T20:23:38.0382016Z             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
2025-03-21T20:23:38.0384194Z             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
2025-03-21T20:23:38.0385207Z             
2025-03-21T20:23:38.0386548Z              # 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)
2025-03-21T20:23:38.0388897Z             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
2025-03-21T20:23:38.0390122Z             
2025-03-21T20:23:38.0391343Z              # 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
2025-03-21T20:23:38.0393175Z             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
2025-03-21T20:23:38.0394243Z             
2025-03-21T20:23:38.0395556Z              # 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)
2025-03-21T20:23:38.0397612Z             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
2025-03-21T20:23:38.0398603Z             
2025-03-21T20:23:38.0399791Z              # 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)
2025-03-21T20:23:38.0401626Z             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
2025-03-21T20:23:38.0402588Z             
2025-03-21T20:23:38.0403840Z              # 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)
2025-03-21T20:23:38.0406039Z             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
2025-03-21T20:23:38.0407765Z             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
2025-03-21T20:23:38.0409665Z             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
2025-03-21T20:23:38.0411490Z             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
2025-03-21T20:23:38.0413377Z             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
2025-03-21T20:23:38.0415201Z             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
2025-03-21T20:23:38.0416207Z             
2025-03-21T20:23:38.0417645Z              # 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()
2025-03-21T20:23:38.0418679Z             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
2025-03-21T20:23:38.0419641Z             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
2025-03-21T20:23:38.0419777Z             
2025-03-21T20:23:38.0420987Z              # 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)
2025-03-21T20:23:38.0421779Z             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
2025-03-21T20:23:38.0421911Z             
2025-03-21T20:23:38.0422890Z              # 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)
2025-03-21T20:23:38.0423787Z             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
2025-03-21T20:23:38.0424831Z             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
2025-03-21T20:23:38.0426328Z             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
2025-03-21T20:23:38.0427095Z             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
2025-03-21T20:23:38.0427227Z             
2025-03-21T20:23:38.0428325Z              # 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)
2025-03-21T20:23:38.0429188Z             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
2025-03-21T20:23:38.0429670Z             
2025-03-21T20:23:38.0430808Z              # 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
2025-03-21T20:23:38.0432078Z             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
2025-03-21T20:23:38.0433184Z             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
2025-03-21T20:23:38.0433318Z             
2025-03-21T20:23:38.0434305Z              # 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)
2025-03-21T20:23:38.0434881Z             aten_view_copy_default_184: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_67, [8, 128])
2025-03-21T20:23:38.0435938Z             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
2025-03-21T20:23:38.0437718Z             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
2025-03-21T20:23:38.0438658Z             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
2025-03-21T20:23:38.0438801Z             
2025-03-21T20:23:38.0439877Z              # 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)
2025-03-21T20:23:38.0441017Z             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
2025-03-21T20:23:38.0441158Z             
2025-03-21T20:23:38.0442130Z              # 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)
2025-03-21T20:23:38.0442872Z             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
2025-03-21T20:23:38.0443849Z             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
2025-03-21T20:23:38.0445271Z             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
2025-03-21T20:23:38.0446030Z             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
2025-03-21T20:23:38.0446165Z             
2025-03-21T20:23:38.0447259Z              # 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)
2025-03-21T20:23:38.0448143Z             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
2025-03-21T20:23:38.0448282Z             
2025-03-21T20:23:38.0449276Z              # 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
2025-03-21T20:23:38.0450467Z             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
2025-03-21T20:23:38.0451519Z             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
2025-03-21T20:23:38.0451658Z             
2025-03-21T20:23:38.0452634Z              # 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)
2025-03-21T20:23:38.0453333Z             aten_view_copy_default_188: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_69, [8, 128])
2025-03-21T20:23:38.0454385Z             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
2025-03-21T20:23:38.0456034Z             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
2025-03-21T20:23:38.0456817Z             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
2025-03-21T20:23:38.0457027Z             
2025-03-21T20:23:38.0458114Z              # 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)
2025-03-21T20:23:38.0458822Z             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
2025-03-21T20:23:38.0458949Z             
2025-03-21T20:23:38.0459939Z              # 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)
2025-03-21T20:23:38.0460672Z             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
2025-03-21T20:23:38.0461659Z             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
2025-03-21T20:23:38.0463092Z             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
2025-03-21T20:23:38.0463860Z             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
2025-03-21T20:23:38.0463989Z             
2025-03-21T20:23:38.0465089Z              # 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)
2025-03-21T20:23:38.0465961Z             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
2025-03-21T20:23:38.0466090Z             
2025-03-21T20:23:38.0467096Z              # 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
2025-03-21T20:23:38.0468178Z             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
2025-03-21T20:23:38.0469222Z             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
2025-03-21T20:23:38.0469465Z             
2025-03-21T20:23:38.0470445Z              # 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)
2025-03-21T20:23:38.0471020Z             aten_view_copy_default_192: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_71, [8, 128])
2025-03-21T20:23:38.0472183Z             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
2025-03-21T20:23:38.0473717Z             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
2025-03-21T20:23:38.0474561Z             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
2025-03-21T20:23:38.0474692Z             
2025-03-21T20:23:38.0475769Z              # 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)
2025-03-21T20:23:38.0476471Z             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
2025-03-21T20:23:38.0476608Z             
2025-03-21T20:23:38.0477581Z              # 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)
2025-03-21T20:23:38.0478321Z             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
2025-03-21T20:23:38.0479304Z             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
2025-03-21T20:23:38.0480733Z             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
2025-03-21T20:23:38.0481487Z             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
2025-03-21T20:23:38.0481633Z             
2025-03-21T20:23:38.0482726Z              # 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)
2025-03-21T20:23:38.0483587Z             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
2025-03-21T20:23:38.0483725Z             
2025-03-21T20:23:38.0484720Z              # 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
2025-03-21T20:23:38.0485798Z             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
2025-03-21T20:23:38.0486985Z             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
2025-03-21T20:23:38.0487125Z             
2025-03-21T20:23:38.0488197Z              # 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)
2025-03-21T20:23:38.0488807Z             aten_view_copy_default_196: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_73, [8, 128])
2025-03-21T20:23:38.0489961Z             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
2025-03-21T20:23:38.0491536Z             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
2025-03-21T20:23:38.0492301Z             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
2025-03-21T20:23:38.0492453Z             
2025-03-21T20:23:38.0493511Z              # 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)
2025-03-21T20:23:38.0494219Z             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
2025-03-21T20:23:38.0494351Z             
2025-03-21T20:23:38.0495361Z              # 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)
2025-03-21T20:23:38.0496091Z             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
2025-03-21T20:23:38.0497035Z             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
2025-03-21T20:23:38.0498408Z             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
2025-03-21T20:23:38.0499174Z             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
2025-03-21T20:23:38.0499305Z             
2025-03-21T20:23:38.0500403Z              # 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)
2025-03-21T20:23:38.0501258Z             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
2025-03-21T20:23:38.0501387Z             
2025-03-21T20:23:38.0502386Z              # 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
2025-03-21T20:23:38.0503506Z             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
2025-03-21T20:23:38.0504500Z             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
2025-03-21T20:23:38.0504745Z             
2025-03-21T20:23:38.0505768Z              # 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)
2025-03-21T20:23:38.0506497Z             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
2025-03-21T20:23:38.0507568Z             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
2025-03-21T20:23:38.0509172Z             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
2025-03-21T20:23:38.0509935Z             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
2025-03-21T20:23:38.0510065Z             
2025-03-21T20:23:38.0511063Z              # 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)
2025-03-21T20:23:38.0511781Z             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
2025-03-21T20:23:38.0511920Z             
2025-03-21T20:23:38.0513011Z              # 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)
2025-03-21T20:23:38.0513832Z             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
2025-03-21T20:23:38.0513961Z             
2025-03-21T20:23:38.0514963Z              # 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
2025-03-21T20:23:38.0516109Z             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
2025-03-21T20:23:38.0517244Z             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
2025-03-21T20:23:38.0517379Z             
2025-03-21T20:23:38.0518349Z              # 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)
2025-03-21T20:23:38.0518928Z             aten_view_copy_default_202: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:23:38.0520078Z             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
2025-03-21T20:23:38.0521771Z             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
2025-03-21T20:23:38.0522565Z             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
2025-03-21T20:23:38.0522700Z             
2025-03-21T20:23:38.0523710Z              # 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
2025-03-21T20:23:38.0525034Z             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
2025-03-21T20:23:38.0526179Z             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
2025-03-21T20:23:38.0526320Z             
2025-03-21T20:23:38.0527286Z              # 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)
2025-03-21T20:23:38.0527865Z             aten_view_copy_default_204: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:23:38.0528972Z             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
2025-03-21T20:23:38.0530848Z             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
2025-03-21T20:23:38.0531609Z             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
2025-03-21T20:23:38.0531744Z             
2025-03-21T20:23:38.0532742Z              # 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
2025-03-21T20:23:38.0534017Z             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
2025-03-21T20:23:38.0535163Z             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
2025-03-21T20:23:38.0535296Z             
2025-03-21T20:23:38.0536281Z              # 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)
2025-03-21T20:23:38.0537110Z             aten_view_copy_default_206: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_79, [8, 128])
2025-03-21T20:23:38.0538120Z             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
2025-03-21T20:23:38.0539755Z             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
2025-03-21T20:23:38.0540546Z             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
2025-03-21T20:23:38.0540691Z             
2025-03-21T20:23:38.0541807Z              # 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)
2025-03-21T20:23:38.0542530Z             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
2025-03-21T20:23:38.0543529Z             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
2025-03-21T20:23:38.0544983Z             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
2025-03-21T20:23:38.0545750Z             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
2025-03-21T20:23:38.0545883Z             
2025-03-21T20:23:38.0546880Z              # 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)
2025-03-21T20:23:38.0547465Z             aten_view_copy_default_210: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:23:38.0548482Z             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
2025-03-21T20:23:38.0549961Z             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
2025-03-21T20:23:38.0550720Z             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
2025-03-21T20:23:38.0550847Z             
2025-03-21T20:23:38.0551813Z              # 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)
2025-03-21T20:23:38.0552612Z             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
2025-03-21T20:23:38.0552748Z             
2025-03-21T20:23:38.0553807Z              # 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)
2025-03-21T20:23:38.0554659Z             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
2025-03-21T20:23:38.0554791Z             
2025-03-21T20:23:38.0555881Z              # 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)
2025-03-21T20:23:38.0556696Z             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
2025-03-21T20:23:38.0556833Z             
2025-03-21T20:23:38.0557807Z              # 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)
2025-03-21T20:23:38.0558789Z             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
2025-03-21T20:23:38.0558920Z             
2025-03-21T20:23:38.0559871Z              # 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)
2025-03-21T20:23:38.0560678Z             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
2025-03-21T20:23:38.0560806Z             
2025-03-21T20:23:38.0561786Z              # 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)
2025-03-21T20:23:38.0562630Z             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
2025-03-21T20:23:38.0562767Z             
2025-03-21T20:23:38.0563931Z              # 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))
2025-03-21T20:23:38.0564810Z             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
2025-03-21T20:23:38.0565653Z             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
2025-03-21T20:23:38.0566469Z             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
2025-03-21T20:23:38.0567315Z             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
2025-03-21T20:23:38.0568125Z             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
2025-03-21T20:23:38.0569070Z             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
2025-03-21T20:23:38.0570037Z             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
2025-03-21T20:23:38.0570173Z             
2025-03-21T20:23:38.0571340Z              # 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)
2025-03-21T20:23:38.0572404Z             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
2025-03-21T20:23:38.0572606Z             
2025-03-21T20:23:38.0573662Z              # 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
2025-03-21T20:23:38.0574415Z             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
2025-03-21T20:23:38.0574551Z             
2025-03-21T20:23:38.0575662Z              # 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)
2025-03-21T20:23:38.0576382Z             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
2025-03-21T20:23:38.0576514Z             
2025-03-21T20:23:38.0577543Z              # 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)
2025-03-21T20:23:38.0578219Z             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
2025-03-21T20:23:38.0578360Z             
2025-03-21T20:23:38.0579426Z              # 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)
2025-03-21T20:23:38.0580230Z             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
2025-03-21T20:23:38.0581022Z             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
2025-03-21T20:23:38.0581886Z             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
2025-03-21T20:23:38.0582690Z             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
2025-03-21T20:23:38.0583637Z             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
2025-03-21T20:23:38.0584372Z             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
2025-03-21T20:23:38.0584507Z             
2025-03-21T20:23:38.0585617Z              # 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()
2025-03-21T20:23:38.0586636Z             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
2025-03-21T20:23:38.0587600Z             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
2025-03-21T20:23:38.0587731Z             
2025-03-21T20:23:38.0588905Z              # 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)
2025-03-21T20:23:38.0589694Z             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
2025-03-21T20:23:38.0589838Z             
2025-03-21T20:23:38.0590914Z              # 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)
2025-03-21T20:23:38.0591707Z             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
2025-03-21T20:23:38.0592757Z             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
2025-03-21T20:23:38.0594266Z             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
2025-03-21T20:23:38.0595023Z             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
2025-03-21T20:23:38.0595158Z             
2025-03-21T20:23:38.0596252Z              # 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)
2025-03-21T20:23:38.0597112Z             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
2025-03-21T20:23:38.0597241Z             
2025-03-21T20:23:38.0598239Z              # 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
2025-03-21T20:23:38.0599377Z             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
2025-03-21T20:23:38.0600488Z             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
2025-03-21T20:23:38.0600615Z             
2025-03-21T20:23:38.0601597Z              # 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)
2025-03-21T20:23:38.0602168Z             aten_view_copy_default_224: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_82, [8, 128])
2025-03-21T20:23:38.0603340Z             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
2025-03-21T20:23:38.0604940Z             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
2025-03-21T20:23:38.0605725Z             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
2025-03-21T20:23:38.0605852Z             
2025-03-21T20:23:38.0606913Z              # 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)
2025-03-21T20:23:38.0607684Z             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
2025-03-21T20:23:38.0607813Z             
2025-03-21T20:23:38.0608790Z              # 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)
2025-03-21T20:23:38.0609644Z             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
2025-03-21T20:23:38.0610642Z             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
2025-03-21T20:23:38.0612082Z             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
2025-03-21T20:23:38.0612841Z             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
2025-03-21T20:23:38.0612975Z             
2025-03-21T20:23:38.0614096Z              # 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)
2025-03-21T20:23:38.0614959Z             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
2025-03-21T20:23:38.0615102Z             
2025-03-21T20:23:38.0616100Z              # 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
2025-03-21T20:23:38.0617178Z             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
2025-03-21T20:23:38.0618223Z             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
2025-03-21T20:23:38.0618360Z             
2025-03-21T20:23:38.0619348Z              # 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)
2025-03-21T20:23:38.0620061Z             aten_view_copy_default_228: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_84, [8, 128])
2025-03-21T20:23:38.0621131Z             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
2025-03-21T20:23:38.0622782Z             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
2025-03-21T20:23:38.0623596Z             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
2025-03-21T20:23:38.0623827Z             
2025-03-21T20:23:38.0624884Z              # 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)
2025-03-21T20:23:38.0625593Z             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
2025-03-21T20:23:38.0625746Z             
2025-03-21T20:23:38.0626721Z              # 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)
2025-03-21T20:23:38.0627451Z             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
2025-03-21T20:23:38.0628439Z             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
2025-03-21T20:23:38.0630122Z             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
2025-03-21T20:23:38.0630887Z             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
2025-03-21T20:23:38.0631026Z             
2025-03-21T20:23:38.0632124Z              # 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)
2025-03-21T20:23:38.0632993Z             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
2025-03-21T20:23:38.0633122Z             
2025-03-21T20:23:38.0634128Z              # 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
2025-03-21T20:23:38.0635200Z             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
2025-03-21T20:23:38.0636247Z             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
2025-03-21T20:23:38.0636630Z             
2025-03-21T20:23:38.0637619Z              # 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)
2025-03-21T20:23:38.0638193Z             aten_view_copy_default_232: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_86, [8, 128])
2025-03-21T20:23:38.0639471Z             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
2025-03-21T20:23:38.0641022Z             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
2025-03-21T20:23:38.0641924Z             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
2025-03-21T20:23:38.0642064Z             
2025-03-21T20:23:38.0643133Z              # 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)
2025-03-21T20:23:38.0643841Z             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
2025-03-21T20:23:38.0643974Z             
2025-03-21T20:23:38.0644949Z              # 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)
2025-03-21T20:23:38.0645708Z             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
2025-03-21T20:23:38.0646710Z             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
2025-03-21T20:23:38.0648146Z             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
2025-03-21T20:23:38.0648934Z             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
2025-03-21T20:23:38.0649101Z             
2025-03-21T20:23:38.0650366Z              # 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)
2025-03-21T20:23:38.0651272Z             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
2025-03-21T20:23:38.0651411Z             
2025-03-21T20:23:38.0652442Z              # 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
2025-03-21T20:23:38.0653526Z             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
2025-03-21T20:23:38.0654717Z             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
2025-03-21T20:23:38.0654850Z             
2025-03-21T20:23:38.0655943Z              # 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)
2025-03-21T20:23:38.0656536Z             aten_view_copy_default_236: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_88, [8, 128])
2025-03-21T20:23:38.0657555Z             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
2025-03-21T20:23:38.0659133Z             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
2025-03-21T20:23:38.0659900Z             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
2025-03-21T20:23:38.0660029Z             
2025-03-21T20:23:38.0661094Z              # 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)
2025-03-21T20:23:38.0661798Z             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
2025-03-21T20:23:38.0661940Z             
2025-03-21T20:23:38.0662947Z              # 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)
2025-03-21T20:23:38.0663683Z             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
2025-03-21T20:23:38.0664636Z             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
2025-03-21T20:23:38.0666019Z             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
2025-03-21T20:23:38.0666783Z             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
2025-03-21T20:23:38.0666912Z             
2025-03-21T20:23:38.0668020Z              # 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)
2025-03-21T20:23:38.0668873Z             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
2025-03-21T20:23:38.0669006Z             
2025-03-21T20:23:38.0670009Z              # 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
2025-03-21T20:23:38.0675370Z             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
2025-03-21T20:23:38.0676588Z             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
2025-03-21T20:23:38.0676739Z             
2025-03-21T20:23:38.0677733Z              # 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)
2025-03-21T20:23:38.0678453Z             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
2025-03-21T20:23:38.0679624Z             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
2025-03-21T20:23:38.0681183Z             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
2025-03-21T20:23:38.0681947Z             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
2025-03-21T20:23:38.0682074Z             
2025-03-21T20:23:38.0683076Z              # 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)
2025-03-21T20:23:38.0683794Z             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
2025-03-21T20:23:38.0683936Z             
2025-03-21T20:23:38.0685030Z              # 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)
2025-03-21T20:23:38.0685840Z             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
2025-03-21T20:23:38.0685967Z             
2025-03-21T20:23:38.0686961Z              # 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
2025-03-21T20:23:38.0688111Z             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
2025-03-21T20:23:38.0689228Z             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
2025-03-21T20:23:38.0689482Z             
2025-03-21T20:23:38.0690466Z              # 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)
2025-03-21T20:23:38.0691038Z             aten_view_copy_default_242: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:23:38.0692278Z             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
2025-03-21T20:23:38.0693987Z             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
2025-03-21T20:23:38.0694812Z             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
2025-03-21T20:23:38.0694943Z             
2025-03-21T20:23:38.0695983Z              # 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
2025-03-21T20:23:38.0697288Z             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
2025-03-21T20:23:38.0698403Z             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
2025-03-21T20:23:38.0698539Z             
2025-03-21T20:23:38.0699500Z              # 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)
2025-03-21T20:23:38.0700083Z             aten_view_copy_default_244: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:23:38.0701193Z             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
2025-03-21T20:23:38.0702750Z             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
2025-03-21T20:23:38.0703505Z             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
2025-03-21T20:23:38.0703648Z             
2025-03-21T20:23:38.0704651Z              # 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
2025-03-21T20:23:38.0705921Z             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
2025-03-21T20:23:38.0707067Z             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
2025-03-21T20:23:38.0707202Z             
2025-03-21T20:23:38.0708187Z              # 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)
2025-03-21T20:23:38.0708876Z             aten_view_copy_default_246: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_94, [8, 128])
2025-03-21T20:23:38.0710021Z             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
2025-03-21T20:23:38.0711613Z             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
2025-03-21T20:23:38.0712385Z             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
2025-03-21T20:23:38.0712599Z             
2025-03-21T20:23:38.0713616Z              # 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)
2025-03-21T20:23:38.0714337Z             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
2025-03-21T20:23:38.0715334Z             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
2025-03-21T20:23:38.0716778Z             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
2025-03-21T20:23:38.0717534Z             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
2025-03-21T20:23:38.0717669Z             
2025-03-21T20:23:38.0718668Z              # 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)
2025-03-21T20:23:38.0719251Z             aten_view_copy_default_250: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:23:38.0720264Z             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
2025-03-21T20:23:38.0721915Z             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
2025-03-21T20:23:38.0722683Z             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
2025-03-21T20:23:38.0722826Z             
2025-03-21T20:23:38.0723780Z              # 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)
2025-03-21T20:23:38.0724576Z             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
2025-03-21T20:23:38.0724833Z             
2025-03-21T20:23:38.0725817Z              # 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)
2025-03-21T20:23:38.0726760Z             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
2025-03-21T20:23:38.0726899Z             
2025-03-21T20:23:38.0727918Z              # 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)
2025-03-21T20:23:38.0728737Z             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
2025-03-21T20:23:38.0728877Z             
2025-03-21T20:23:38.0730342Z              # 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)
2025-03-21T20:23:38.0731221Z             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
2025-03-21T20:23:38.0731355Z             
2025-03-21T20:23:38.0732323Z              # 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)
2025-03-21T20:23:38.0733120Z             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
2025-03-21T20:23:38.0733249Z             
2025-03-21T20:23:38.0734234Z              # 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)
2025-03-21T20:23:38.0735074Z             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
2025-03-21T20:23:38.0735210Z             
2025-03-21T20:23:38.0736365Z              # 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))
2025-03-21T20:23:38.0737244Z             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
2025-03-21T20:23:38.0738092Z             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
2025-03-21T20:23:38.0738911Z             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
2025-03-21T20:23:38.0739765Z             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
2025-03-21T20:23:38.0740572Z             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
2025-03-21T20:23:38.0741504Z             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
2025-03-21T20:23:38.0742506Z             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
2025-03-21T20:23:38.0742635Z             
2025-03-21T20:23:38.0744005Z              # 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)
2025-03-21T20:23:38.0744961Z             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
2025-03-21T20:23:38.0745108Z             
2025-03-21T20:23:38.0746154Z              # 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
2025-03-21T20:23:38.0746952Z             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
2025-03-21T20:23:38.0747093Z             
2025-03-21T20:23:38.0748204Z              # 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)
2025-03-21T20:23:38.0748921Z             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
2025-03-21T20:23:38.0749050Z             
2025-03-21T20:23:38.0750066Z              # 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)
2025-03-21T20:23:38.0750742Z             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
2025-03-21T20:23:38.0750876Z             
2025-03-21T20:23:38.0751938Z              # 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)
2025-03-21T20:23:38.0752717Z             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
2025-03-21T20:23:38.0753507Z             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
2025-03-21T20:23:38.0754358Z             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
2025-03-21T20:23:38.0755165Z             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
2025-03-21T20:23:38.0756112Z             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
2025-03-21T20:23:38.0756841Z             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
2025-03-21T20:23:38.0756975Z             
2025-03-21T20:23:38.0758055Z              # 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()
2025-03-21T20:23:38.0759013Z             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
2025-03-21T20:23:38.0760085Z             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
2025-03-21T20:23:38.0760235Z             
2025-03-21T20:23:38.0761330Z              # 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)
2025-03-21T20:23:38.0762088Z             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
2025-03-21T20:23:38.0762304Z             
2025-03-21T20:23:38.0763289Z              # 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)
2025-03-21T20:23:38.0764093Z             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
2025-03-21T20:23:38.0765137Z             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
2025-03-21T20:23:38.0766643Z             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
2025-03-21T20:23:38.0767406Z             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
2025-03-21T20:23:38.0767542Z             
2025-03-21T20:23:38.0768649Z              # 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)
2025-03-21T20:23:38.0769629Z             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
2025-03-21T20:23:38.0769763Z             
2025-03-21T20:23:38.0770758Z              # 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
2025-03-21T20:23:38.0771900Z             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
2025-03-21T20:23:38.0773012Z             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
2025-03-21T20:23:38.0773142Z             
2025-03-21T20:23:38.0774123Z              # 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)
2025-03-21T20:23:38.0774694Z             aten_view_copy_default_264: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_97, [8, 128])
2025-03-21T20:23:38.0775929Z             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
2025-03-21T20:23:38.0777560Z             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
2025-03-21T20:23:38.0778333Z             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
2025-03-21T20:23:38.0778460Z             
2025-03-21T20:23:38.0779521Z              # 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)
2025-03-21T20:23:38.0780335Z             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
2025-03-21T20:23:38.0780467Z             
2025-03-21T20:23:38.0781456Z              # 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)
2025-03-21T20:23:38.0782184Z             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
2025-03-21T20:23:38.0783170Z             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
2025-03-21T20:23:38.0784605Z             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
2025-03-21T20:23:38.0785368Z             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
2025-03-21T20:23:38.0785497Z             
2025-03-21T20:23:38.0786599Z              # 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)
2025-03-21T20:23:38.0787448Z             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
2025-03-21T20:23:38.0787595Z             
2025-03-21T20:23:38.0788588Z              # 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
2025-03-21T20:23:38.0789663Z             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
2025-03-21T20:23:38.0790778Z             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
2025-03-21T20:23:38.0790915Z             
2025-03-21T20:23:38.0792020Z              # 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)
2025-03-21T20:23:38.0792611Z             aten_view_copy_default_268: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_99, [8, 128])
2025-03-21T20:23:38.0793763Z             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
2025-03-21T20:23:38.0795314Z             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
2025-03-21T20:23:38.0796075Z             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
2025-03-21T20:23:38.0796288Z             
2025-03-21T20:23:38.0797359Z              # 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)
2025-03-21T20:23:38.0798065Z             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
2025-03-21T20:23:38.0798190Z             
2025-03-21T20:23:38.0799158Z              # 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)
2025-03-21T20:23:38.0799886Z             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
2025-03-21T20:23:38.0800875Z             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
2025-03-21T20:23:38.0802347Z             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
2025-03-21T20:23:38.0803135Z             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
2025-03-21T20:23:38.0803278Z             
2025-03-21T20:23:38.0804372Z              # 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)
2025-03-21T20:23:38.0805246Z             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
2025-03-21T20:23:38.0805372Z             
2025-03-21T20:23:38.0806376Z              # 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
2025-03-21T20:23:38.0807448Z             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
2025-03-21T20:23:38.0808497Z             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
2025-03-21T20:23:38.0808743Z             
2025-03-21T20:23:38.0809989Z              # 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)
2025-03-21T20:23:38.0810674Z             aten_view_copy_default_272: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_101, [8, 128])
2025-03-21T20:23:38.0811753Z             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
2025-03-21T20:23:38.0813273Z             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
2025-03-21T20:23:38.0814136Z             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
2025-03-21T20:23:38.0814266Z             
2025-03-21T20:23:38.0815320Z              # 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)
2025-03-21T20:23:38.0816014Z             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
2025-03-21T20:23:38.0816144Z             
2025-03-21T20:23:38.0817113Z              # 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)
2025-03-21T20:23:38.0817851Z             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
2025-03-21T20:23:38.0818836Z             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
2025-03-21T20:23:38.0820268Z             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
2025-03-21T20:23:38.0821027Z             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
2025-03-21T20:23:38.0821157Z             
2025-03-21T20:23:38.0822259Z              # 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)
2025-03-21T20:23:38.0823127Z             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
2025-03-21T20:23:38.0823266Z             
2025-03-21T20:23:38.0824257Z              # 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
2025-03-21T20:23:38.0825456Z             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
2025-03-21T20:23:38.0826599Z             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
2025-03-21T20:23:38.0826741Z             
2025-03-21T20:23:38.0827769Z              # 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)
2025-03-21T20:23:38.0828380Z             aten_view_copy_default_276: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_103, [8, 128])
2025-03-21T20:23:38.0829739Z             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
2025-03-21T20:23:38.0831494Z             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
2025-03-21T20:23:38.0832268Z             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
2025-03-21T20:23:38.0832405Z             
2025-03-21T20:23:38.0833460Z              # 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)
2025-03-21T20:23:38.0834175Z             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
2025-03-21T20:23:38.0834306Z             
2025-03-21T20:23:38.0835323Z              # 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)
2025-03-21T20:23:38.0836057Z             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
2025-03-21T20:23:38.0837008Z             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
2025-03-21T20:23:38.0838401Z             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
2025-03-21T20:23:38.0839187Z             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
2025-03-21T20:23:38.0839321Z             
2025-03-21T20:23:38.0840458Z              # 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)
2025-03-21T20:23:38.0841379Z             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
2025-03-21T20:23:38.0841543Z             
2025-03-21T20:23:38.0842717Z              # 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
2025-03-21T20:23:38.0843926Z             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
2025-03-21T20:23:38.0845100Z             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
2025-03-21T20:23:38.0845244Z             
2025-03-21T20:23:38.0846225Z              # 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)
2025-03-21T20:23:38.0846941Z             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
2025-03-21T20:23:38.0848100Z             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
2025-03-21T20:23:38.0849751Z             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
2025-03-21T20:23:38.0850531Z             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
2025-03-21T20:23:38.0850670Z             
2025-03-21T20:23:38.0851668Z              # 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)
2025-03-21T20:23:38.0852383Z             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
2025-03-21T20:23:38.0852518Z             
2025-03-21T20:23:38.0853616Z              # 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)
2025-03-21T20:23:38.0854438Z             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
2025-03-21T20:23:38.0854569Z             
2025-03-21T20:23:38.0855566Z              # 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
2025-03-21T20:23:38.0856730Z             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
2025-03-21T20:23:38.0857860Z             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
2025-03-21T20:23:38.0857989Z             
2025-03-21T20:23:38.0858951Z              # 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)
2025-03-21T20:23:38.0859673Z             aten_view_copy_default_282: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:23:38.0860773Z             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
2025-03-21T20:23:38.0862383Z             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
2025-03-21T20:23:38.0863157Z             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
2025-03-21T20:23:38.0863421Z             
2025-03-21T20:23:38.0864420Z              # 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
2025-03-21T20:23:38.0865650Z             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
2025-03-21T20:23:38.0866756Z             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
2025-03-21T20:23:38.0866896Z             
2025-03-21T20:23:38.0867858Z              # 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)
2025-03-21T20:23:38.0868445Z             aten_view_copy_default_284: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:23:38.0869539Z             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
2025-03-21T20:23:38.0871112Z             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
2025-03-21T20:23:38.0871872Z             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
2025-03-21T20:23:38.0872017Z             
2025-03-21T20:23:38.0873019Z              # 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
2025-03-21T20:23:38.0874296Z             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
2025-03-21T20:23:38.0875449Z             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
2025-03-21T20:23:38.0875681Z             
2025-03-21T20:23:38.0876679Z              # 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)
2025-03-21T20:23:38.0877325Z             aten_view_copy_default_286: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_109, [8, 128])
2025-03-21T20:23:38.0878424Z             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
2025-03-21T20:23:38.0879918Z             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
2025-03-21T20:23:38.0880797Z             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
2025-03-21T20:23:38.0880934Z             
2025-03-21T20:23:38.0881896Z              # 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)
2025-03-21T20:23:38.0882616Z             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
2025-03-21T20:23:38.0883613Z             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
2025-03-21T20:23:38.0885067Z             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
2025-03-21T20:23:38.0885840Z             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
2025-03-21T20:23:38.0885978Z             
2025-03-21T20:23:38.0886970Z              # 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)
2025-03-21T20:23:38.0887551Z             aten_view_copy_default_290: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:23:38.0888575Z             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
2025-03-21T20:23:38.0890177Z             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
2025-03-21T20:23:38.0890952Z             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
2025-03-21T20:23:38.0891077Z             
2025-03-21T20:23:38.0892036Z              # 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)
2025-03-21T20:23:38.0892831Z             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
2025-03-21T20:23:38.0893066Z             
2025-03-21T20:23:38.0894115Z              # 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)
2025-03-21T20:23:38.0895101Z             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
2025-03-21T20:23:38.0895248Z             
2025-03-21T20:23:38.0896198Z              # 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)
2025-03-21T20:23:38.0896989Z             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
2025-03-21T20:23:38.0897231Z             
2025-03-21T20:23:38.0898206Z              # 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)
2025-03-21T20:23:38.0899054Z             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
2025-03-21T20:23:38.0899179Z             
2025-03-21T20:23:38.0900121Z              # 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)
2025-03-21T20:23:38.0900916Z             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
2025-03-21T20:23:38.0901046Z             
2025-03-21T20:23:38.0902027Z              # 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)
2025-03-21T20:23:38.0902866Z             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
2025-03-21T20:23:38.0902999Z             
2025-03-21T20:23:38.0904155Z              # 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))
2025-03-21T20:23:38.0905031Z             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
2025-03-21T20:23:38.0905879Z             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
2025-03-21T20:23:38.0906678Z             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
2025-03-21T20:23:38.0907525Z             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
2025-03-21T20:23:38.0908321Z             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
2025-03-21T20:23:38.0909335Z             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
2025-03-21T20:23:38.0910138Z             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
2025-03-21T20:23:38.0910274Z             
2025-03-21T20:23:38.0911481Z              # 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)
2025-03-21T20:23:38.0912428Z             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
2025-03-21T20:23:38.0912567Z             
2025-03-21T20:23:38.0913685Z              # 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
2025-03-21T20:23:38.0914348Z             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
2025-03-21T20:23:38.0914481Z             
2025-03-21T20:23:38.0915587Z              # 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)
2025-03-21T20:23:38.0916298Z             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
2025-03-21T20:23:38.0916424Z             
2025-03-21T20:23:38.0917437Z              # 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)
2025-03-21T20:23:38.0918115Z             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
2025-03-21T20:23:38.0918271Z             
2025-03-21T20:23:38.0919331Z              # 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)
2025-03-21T20:23:38.0920104Z             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
2025-03-21T20:23:38.0920886Z             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
2025-03-21T20:23:38.0921740Z             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
2025-03-21T20:23:38.0922535Z             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
2025-03-21T20:23:38.0923479Z             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
2025-03-21T20:23:38.0924202Z             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
2025-03-21T20:23:38.0924466Z             
2025-03-21T20:23:38.0925566Z              # 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()
2025-03-21T20:23:38.0926481Z             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
2025-03-21T20:23:38.0927517Z             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
2025-03-21T20:23:38.0927661Z             
2025-03-21T20:23:38.0928736Z              # 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)
2025-03-21T20:23:38.0930131Z             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
2025-03-21T20:23:38.0930507Z             
2025-03-21T20:23:38.0931491Z              # 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)
2025-03-21T20:23:38.0932284Z             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
2025-03-21T20:23:38.0933317Z             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
2025-03-21T20:23:38.0934823Z             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
2025-03-21T20:23:38.0935588Z             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
2025-03-21T20:23:38.0935721Z             
2025-03-21T20:23:38.0936823Z              # 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)
2025-03-21T20:23:38.0937690Z             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
2025-03-21T20:23:38.0937820Z             
2025-03-21T20:23:38.0938811Z              # 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
2025-03-21T20:23:38.0939950Z             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
2025-03-21T20:23:38.0941058Z             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
2025-03-21T20:23:38.0941188Z             
2025-03-21T20:23:38.0942163Z              # 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)
2025-03-21T20:23:38.0942880Z             aten_view_copy_default_304: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_112, [8, 128])
2025-03-21T20:23:38.0944048Z             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
2025-03-21T20:23:38.0945674Z             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
2025-03-21T20:23:38.0946459Z             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
2025-03-21T20:23:38.0946693Z             
2025-03-21T20:23:38.0947744Z              # 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)
2025-03-21T20:23:38.0948453Z             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
2025-03-21T20:23:38.0948586Z             
2025-03-21T20:23:38.0949559Z              # 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)
2025-03-21T20:23:38.0950279Z             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
2025-03-21T20:23:38.0951271Z             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
2025-03-21T20:23:38.0952709Z             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
2025-03-21T20:23:38.0953474Z             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
2025-03-21T20:23:38.0953599Z             
2025-03-21T20:23:38.0954693Z              # 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)
2025-03-21T20:23:38.0955560Z             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
2025-03-21T20:23:38.0955691Z             
2025-03-21T20:23:38.0956690Z              # 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
2025-03-21T20:23:38.0957766Z             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
2025-03-21T20:23:38.0958808Z             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
2025-03-21T20:23:38.0959029Z             
2025-03-21T20:23:38.0960004Z              # 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)
2025-03-21T20:23:38.0960743Z             aten_view_copy_default_308: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_114, [8, 128])
2025-03-21T20:23:38.0961905Z             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
2025-03-21T20:23:38.0963439Z             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
2025-03-21T20:23:38.0964319Z             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
2025-03-21T20:23:38.0964458Z             
2025-03-21T20:23:38.0965509Z              # 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)
2025-03-21T20:23:38.0966213Z             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
2025-03-21T20:23:38.0966339Z             
2025-03-21T20:23:38.0967305Z              # 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)
2025-03-21T20:23:38.0968041Z             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
2025-03-21T20:23:38.0969023Z             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
2025-03-21T20:23:38.0970586Z             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
2025-03-21T20:23:38.0971351Z             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
2025-03-21T20:23:38.0971495Z             
2025-03-21T20:23:38.0972585Z              # 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)
2025-03-21T20:23:38.0973460Z             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
2025-03-21T20:23:38.0973587Z             
2025-03-21T20:23:38.0974584Z              # 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
2025-03-21T20:23:38.0975657Z             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
2025-03-21T20:23:38.0976905Z             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
2025-03-21T20:23:38.0977051Z             
2025-03-21T20:23:38.0978094Z              # 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)
2025-03-21T20:23:38.0978705Z             aten_view_copy_default_312: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_116, [8, 128])
2025-03-21T20:23:38.0979781Z             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
2025-03-21T20:23:38.0981409Z             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
2025-03-21T20:23:38.0982181Z             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
2025-03-21T20:23:38.0982309Z             
2025-03-21T20:23:38.0983366Z              # 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)
2025-03-21T20:23:38.0984061Z             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
2025-03-21T20:23:38.0984198Z             
2025-03-21T20:23:38.0985173Z              # 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)
2025-03-21T20:23:38.0985899Z             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
2025-03-21T20:23:38.0986887Z             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
2025-03-21T20:23:38.0988315Z             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
2025-03-21T20:23:38.0989087Z             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
2025-03-21T20:23:38.0989213Z             
2025-03-21T20:23:38.0990313Z              # 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)
2025-03-21T20:23:38.0991184Z             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
2025-03-21T20:23:38.0991317Z             
2025-03-21T20:23:38.0992313Z              # 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
2025-03-21T20:23:38.0993620Z             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
2025-03-21T20:23:38.0994750Z             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
2025-03-21T20:23:38.0994903Z             
2025-03-21T20:23:38.0995887Z              # 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)
2025-03-21T20:23:38.0996473Z             aten_view_copy_default_316: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_118, [8, 128])
2025-03-21T20:23:38.0997581Z             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
2025-03-21T20:23:38.0999055Z             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
2025-03-21T20:23:38.0999809Z             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
2025-03-21T20:23:38.0999944Z             
2025-03-21T20:23:38.1001001Z              # 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)
2025-03-21T20:23:38.1001713Z             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
2025-03-21T20:23:38.1001841Z             
2025-03-21T20:23:38.1002843Z              # 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)
2025-03-21T20:23:38.1003574Z             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
2025-03-21T20:23:38.1004514Z             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
2025-03-21T20:23:38.1005912Z             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
2025-03-21T20:23:38.1006683Z             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
2025-03-21T20:23:38.1006812Z             
2025-03-21T20:23:38.1007897Z              # 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)
2025-03-21T20:23:38.1008767Z             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
2025-03-21T20:23:38.1008986Z             
2025-03-21T20:23:38.1010179Z              # 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
2025-03-21T20:23:38.1011282Z             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
2025-03-21T20:23:38.1012297Z             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
2025-03-21T20:23:38.1012426Z             
2025-03-21T20:23:38.1013414Z              # 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)
2025-03-21T20:23:38.1014206Z             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
2025-03-21T20:23:38.1015269Z             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
2025-03-21T20:23:38.1016779Z             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
2025-03-21T20:23:38.1017543Z             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
2025-03-21T20:23:38.1017669Z             
2025-03-21T20:23:38.1018657Z              # 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)
2025-03-21T20:23:38.1019367Z             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
2025-03-21T20:23:38.1019503Z             
2025-03-21T20:23:38.1020588Z              # 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)
2025-03-21T20:23:38.1021411Z             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
2025-03-21T20:23:38.1021543Z             
2025-03-21T20:23:38.1022535Z              # 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
2025-03-21T20:23:38.1023697Z             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
2025-03-21T20:23:38.1024804Z             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
2025-03-21T20:23:38.1025063Z             
2025-03-21T20:23:38.1026036Z              # 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)
2025-03-21T20:23:38.1026686Z             aten_view_copy_default_322: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:23:38.1027797Z             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
2025-03-21T20:23:38.1029649Z             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
2025-03-21T20:23:38.1030628Z             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
2025-03-21T20:23:38.1030765Z             
2025-03-21T20:23:38.1031763Z              # 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
2025-03-21T20:23:38.1032988Z             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
2025-03-21T20:23:38.1034087Z             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
2025-03-21T20:23:38.1034224Z             
2025-03-21T20:23:38.1035182Z              # 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)
2025-03-21T20:23:38.1035773Z             aten_view_copy_default_324: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:23:38.1036867Z             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
2025-03-21T20:23:38.1038467Z             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
2025-03-21T20:23:38.1039229Z             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
2025-03-21T20:23:38.1039363Z             
2025-03-21T20:23:38.1040357Z              # 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
2025-03-21T20:23:38.1041626Z             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
2025-03-21T20:23:38.1042772Z             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
2025-03-21T20:23:38.1043044Z             
2025-03-21T20:23:38.1044195Z              # 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)
2025-03-21T20:23:38.1044889Z             aten_view_copy_default_326: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_124, [8, 128])
2025-03-21T20:23:38.1045908Z             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
2025-03-21T20:23:38.1047389Z             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
2025-03-21T20:23:38.1048225Z             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
2025-03-21T20:23:38.1048366Z             
2025-03-21T20:23:38.1049423Z              # 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)
2025-03-21T20:23:38.1050138Z             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
2025-03-21T20:23:38.1051133Z             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
2025-03-21T20:23:38.1052589Z             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
2025-03-21T20:23:38.1053357Z             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
2025-03-21T20:23:38.1053483Z             
2025-03-21T20:23:38.1054473Z              # 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)
2025-03-21T20:23:38.1055045Z             aten_view_copy_default_330: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:23:38.1056068Z             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
2025-03-21T20:23:38.1057554Z             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
2025-03-21T20:23:38.1058350Z             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
2025-03-21T20:23:38.1058521Z             
2025-03-21T20:23:38.1059479Z              # 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)
2025-03-21T20:23:38.1060377Z             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
2025-03-21T20:23:38.1060615Z             
2025-03-21T20:23:38.1061669Z              # 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)
2025-03-21T20:23:38.1062524Z             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
2025-03-21T20:23:38.1062652Z             
2025-03-21T20:23:38.1063610Z              # 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)
2025-03-21T20:23:38.1064541Z             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
2025-03-21T20:23:38.1064681Z             
2025-03-21T20:23:38.1065717Z              # 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)
2025-03-21T20:23:38.1066551Z             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
2025-03-21T20:23:38.1066685Z             
2025-03-21T20:23:38.1067632Z              # 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)
2025-03-21T20:23:38.1068440Z             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
2025-03-21T20:23:38.1068563Z             
2025-03-21T20:23:38.1069548Z              # 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)
2025-03-21T20:23:38.1070387Z             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
2025-03-21T20:23:38.1070523Z             
2025-03-21T20:23:38.1071678Z              # 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))
2025-03-21T20:23:38.1072558Z             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
2025-03-21T20:23:38.1073405Z             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
2025-03-21T20:23:38.1074210Z             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
2025-03-21T20:23:38.1075054Z             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
2025-03-21T20:23:38.1075857Z             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
2025-03-21T20:23:38.1076947Z             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
2025-03-21T20:23:38.1077800Z             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
2025-03-21T20:23:38.1077939Z             
2025-03-21T20:23:38.1079095Z              # 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)
2025-03-21T20:23:38.1080020Z             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
2025-03-21T20:23:38.1080273Z             
2025-03-21T20:23:38.1081315Z              # 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
2025-03-21T20:23:38.1081972Z             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
2025-03-21T20:23:38.1082106Z             
2025-03-21T20:23:38.1083207Z              # 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)
2025-03-21T20:23:38.1083921Z             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
2025-03-21T20:23:38.1084050Z             
2025-03-21T20:23:38.1085064Z              # 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)
2025-03-21T20:23:38.1085735Z             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
2025-03-21T20:23:38.1085871Z             
2025-03-21T20:23:38.1086928Z              # 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)
2025-03-21T20:23:38.1087703Z             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
2025-03-21T20:23:38.1088491Z             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
2025-03-21T20:23:38.1089460Z             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
2025-03-21T20:23:38.1090270Z             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
2025-03-21T20:23:38.1091217Z             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
2025-03-21T20:23:38.1091949Z             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
2025-03-21T20:23:38.1092170Z             
2025-03-21T20:23:38.1093336Z              # 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()
2025-03-21T20:23:38.1094250Z             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
2025-03-21T20:23:38.1095230Z             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
2025-03-21T20:23:38.1095361Z             
2025-03-21T20:23:38.1096440Z              # 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)
2025-03-21T20:23:38.1097333Z             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
2025-03-21T20:23:38.1097471Z             
2025-03-21T20:23:38.1098450Z              # 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)
2025-03-21T20:23:38.1099242Z             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
2025-03-21T20:23:38.1100281Z             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
2025-03-21T20:23:38.1101800Z             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
2025-03-21T20:23:38.1102565Z             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
2025-03-21T20:23:38.1102703Z             
2025-03-21T20:23:38.1103804Z              # 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)
2025-03-21T20:23:38.1104681Z             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
2025-03-21T20:23:38.1104816Z             
2025-03-21T20:23:38.1105824Z              # 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
2025-03-21T20:23:38.1106967Z             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
2025-03-21T20:23:38.1108079Z             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
2025-03-21T20:23:38.1108307Z             
2025-03-21T20:23:38.1109281Z              # 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)
2025-03-21T20:23:38.1109930Z             aten_view_copy_default_344: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_127, [8, 128])
2025-03-21T20:23:38.1111055Z             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
2025-03-21T20:23:38.1112588Z             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
2025-03-21T20:23:38.1113434Z             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
2025-03-21T20:23:38.1113563Z             
2025-03-21T20:23:38.1114616Z              # 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)
2025-03-21T20:23:38.1115326Z             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
2025-03-21T20:23:38.1115453Z             
2025-03-21T20:23:38.1116428Z              # 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)
2025-03-21T20:23:38.1117158Z             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
2025-03-21T20:23:38.1118157Z             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
2025-03-21T20:23:38.1119589Z             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
2025-03-21T20:23:38.1120352Z             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
2025-03-21T20:23:38.1120484Z             
2025-03-21T20:23:38.1121583Z              # 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)
2025-03-21T20:23:38.1122447Z             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
2025-03-21T20:23:38.1122584Z             
2025-03-21T20:23:38.1123575Z              # 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
2025-03-21T20:23:38.1124659Z             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
2025-03-21T20:23:38.1125792Z             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
2025-03-21T20:23:38.1125929Z             
2025-03-21T20:23:38.1126957Z              # 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)
2025-03-21T20:23:38.1127614Z             aten_view_copy_default_348: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_129, [8, 128])
2025-03-21T20:23:38.1128678Z             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
2025-03-21T20:23:38.1130565Z             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
2025-03-21T20:23:38.1131543Z             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
2025-03-21T20:23:38.1131684Z             
2025-03-21T20:23:38.1132731Z              # 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)
2025-03-21T20:23:38.1133423Z             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
2025-03-21T20:23:38.1133564Z             
2025-03-21T20:23:38.1134530Z              # 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)
2025-03-21T20:23:38.1135265Z             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
2025-03-21T20:23:38.1136250Z             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
2025-03-21T20:23:38.1137679Z             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
2025-03-21T20:23:38.1138441Z             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
2025-03-21T20:23:38.1138573Z             
2025-03-21T20:23:38.1139664Z              # 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)
2025-03-21T20:23:38.1140540Z             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
2025-03-21T20:23:38.1140666Z             
2025-03-21T20:23:38.1141660Z              # 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
2025-03-21T20:23:38.1142874Z             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
2025-03-21T20:23:38.1144142Z             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
2025-03-21T20:23:38.1144287Z             
2025-03-21T20:23:38.1145286Z              # 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)
2025-03-21T20:23:38.1145864Z             aten_view_copy_default_352: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_131, [8, 128])
2025-03-21T20:23:38.1147023Z             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
2025-03-21T20:23:38.1148541Z             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
2025-03-21T20:23:38.1149313Z             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
2025-03-21T20:23:38.1149445Z             
2025-03-21T20:23:38.1150504Z              # 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)
2025-03-21T20:23:38.1151205Z             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
2025-03-21T20:23:38.1151331Z             
2025-03-21T20:23:38.1152312Z              # 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)
2025-03-21T20:23:38.1153041Z             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
2025-03-21T20:23:38.1154032Z             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
2025-03-21T20:23:38.1155463Z             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
2025-03-21T20:23:38.1156229Z             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
2025-03-21T20:23:38.1156361Z             
2025-03-21T20:23:38.1157459Z              # 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)
2025-03-21T20:23:38.1158320Z             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
2025-03-21T20:23:38.1158543Z             
2025-03-21T20:23:38.1159545Z              # 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
2025-03-21T20:23:38.1160744Z             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
2025-03-21T20:23:38.1161802Z             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
2025-03-21T20:23:38.1161940Z             
2025-03-21T20:23:38.1162912Z              # 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)
2025-03-21T20:23:38.1163563Z             aten_view_copy_default_356: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_133, [8, 128])
2025-03-21T20:23:38.1164571Z             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
2025-03-21T20:23:38.1166047Z             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
2025-03-21T20:23:38.1166810Z             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
2025-03-21T20:23:38.1166952Z             
2025-03-21T20:23:38.1168003Z              # 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)
2025-03-21T20:23:38.1168717Z             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
2025-03-21T20:23:38.1168846Z             
2025-03-21T20:23:38.1169967Z              # 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)
2025-03-21T20:23:38.1170702Z             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
2025-03-21T20:23:38.1171644Z             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
2025-03-21T20:23:38.1173037Z             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
2025-03-21T20:23:38.1173796Z             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
2025-03-21T20:23:38.1173929Z             
2025-03-21T20:23:38.1175013Z              # 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)
2025-03-21T20:23:38.1175991Z             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
2025-03-21T20:23:38.1176117Z             
2025-03-21T20:23:38.1177210Z              # 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
2025-03-21T20:23:38.1178253Z             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
2025-03-21T20:23:38.1179258Z             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
2025-03-21T20:23:38.1179467Z             
2025-03-21T20:23:38.1180446Z              # 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)
2025-03-21T20:23:38.1181158Z             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
2025-03-21T20:23:38.1182218Z             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
2025-03-21T20:23:38.1183730Z             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
2025-03-21T20:23:38.1184502Z             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
2025-03-21T20:23:38.1184635Z             
2025-03-21T20:23:38.1185626Z              # 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)
2025-03-21T20:23:38.1186335Z             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
2025-03-21T20:23:38.1186466Z             
2025-03-21T20:23:38.1187551Z              # 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)
2025-03-21T20:23:38.1188376Z             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
2025-03-21T20:23:38.1188515Z             
2025-03-21T20:23:38.1189506Z              # 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
2025-03-21T20:23:38.1190653Z             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
2025-03-21T20:23:38.1191762Z             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
2025-03-21T20:23:38.1191997Z             
2025-03-21T20:23:38.1193017Z              # 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)
2025-03-21T20:23:38.1193713Z             aten_view_copy_default_362: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:23:38.1194762Z             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
2025-03-21T20:23:38.1196300Z             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
2025-03-21T20:23:38.1197171Z             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
2025-03-21T20:23:38.1197305Z             
2025-03-21T20:23:38.1198296Z              # 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
2025-03-21T20:23:38.1199525Z             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
2025-03-21T20:23:38.1200624Z             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
2025-03-21T20:23:38.1200764Z             
2025-03-21T20:23:38.1201727Z              # 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)
2025-03-21T20:23:38.1202316Z             aten_view_copy_default_364: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:23:38.1203403Z             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
2025-03-21T20:23:38.1204959Z             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
2025-03-21T20:23:38.1205725Z             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
2025-03-21T20:23:38.1205859Z             
2025-03-21T20:23:38.1206850Z              # 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
2025-03-21T20:23:38.1208121Z             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
2025-03-21T20:23:38.1209474Z             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
2025-03-21T20:23:38.1209717Z             
2025-03-21T20:23:38.1210809Z              # 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)
2025-03-21T20:23:38.1211408Z             aten_view_copy_default_366: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_139, [8, 128])
2025-03-21T20:23:38.1212421Z             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
2025-03-21T20:23:38.1214005Z             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
2025-03-21T20:23:38.1214769Z             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
2025-03-21T20:23:38.1214900Z             
2025-03-21T20:23:38.1215857Z              # 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)
2025-03-21T20:23:38.1216563Z             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
2025-03-21T20:23:38.1217567Z             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
2025-03-21T20:23:38.1219012Z             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
2025-03-21T20:23:38.1219776Z             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
2025-03-21T20:23:38.1219905Z             
2025-03-21T20:23:38.1220900Z              # 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)
2025-03-21T20:23:38.1221480Z             aten_view_copy_default_370: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:23:38.1222498Z             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
2025-03-21T20:23:38.1223966Z             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
2025-03-21T20:23:38.1224725Z             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
2025-03-21T20:23:38.1224947Z             
2025-03-21T20:23:38.1225904Z              # 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)
2025-03-21T20:23:38.1226786Z             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
2025-03-21T20:23:38.1226986Z             
2025-03-21T20:23:38.1227977Z              # 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)
2025-03-21T20:23:38.1228826Z             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
2025-03-21T20:23:38.1229030Z             
2025-03-21T20:23:38.1230306Z              # 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)
2025-03-21T20:23:38.1231113Z             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
2025-03-21T20:23:38.1231243Z             
2025-03-21T20:23:38.1232219Z              # 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)
2025-03-21T20:23:38.1233055Z             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
2025-03-21T20:23:38.1233190Z             
2025-03-21T20:23:38.1234133Z              # 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)
2025-03-21T20:23:38.1234930Z             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
2025-03-21T20:23:38.1235055Z             
2025-03-21T20:23:38.1236033Z              # 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)
2025-03-21T20:23:38.1236862Z             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
2025-03-21T20:23:38.1236993Z             
2025-03-21T20:23:38.1238145Z              # 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))
2025-03-21T20:23:38.1239022Z             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
2025-03-21T20:23:38.1239866Z             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
2025-03-21T20:23:38.1240673Z             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
2025-03-21T20:23:38.1241514Z             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
2025-03-21T20:23:38.1242584Z             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
2025-03-21T20:23:38.1243689Z             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
2025-03-21T20:23:38.1244468Z             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
2025-03-21T20:23:38.1244616Z             
2025-03-21T20:23:38.1245789Z              # 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)
2025-03-21T20:23:38.1246932Z             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
2025-03-21T20:23:38.1247073Z             
2025-03-21T20:23:38.1248150Z              # 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
2025-03-21T20:23:38.1248832Z             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
2025-03-21T20:23:38.1248980Z             
2025-03-21T20:23:38.1250224Z              # 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)
2025-03-21T20:23:38.1250975Z             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
2025-03-21T20:23:38.1251126Z             
2025-03-21T20:23:38.1252150Z              # 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)
2025-03-21T20:23:38.1252826Z             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
2025-03-21T20:23:38.1252958Z             
2025-03-21T20:23:38.1254018Z              # 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)
2025-03-21T20:23:38.1254803Z             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
2025-03-21T20:23:38.1255593Z             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
2025-03-21T20:23:38.1256438Z             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
2025-03-21T20:23:38.1257235Z             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
2025-03-21T20:23:38.1258170Z             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
2025-03-21T20:23:38.1259051Z             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
2025-03-21T20:23:38.1259237Z             
2025-03-21T20:23:38.1260428Z              # 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()
2025-03-21T20:23:38.1261278Z             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
2025-03-21T20:23:38.1262239Z             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
2025-03-21T20:23:38.1262446Z             
2025-03-21T20:23:38.1263517Z              # 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)
2025-03-21T20:23:38.1264277Z             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
2025-03-21T20:23:38.1264410Z             
2025-03-21T20:23:38.1265375Z              # 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)
2025-03-21T20:23:38.1266159Z             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
2025-03-21T20:23:38.1267201Z             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
2025-03-21T20:23:38.1268706Z             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
2025-03-21T20:23:38.1269462Z             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
2025-03-21T20:23:38.1269593Z             
2025-03-21T20:23:38.1270680Z              # 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)
2025-03-21T20:23:38.1271552Z             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
2025-03-21T20:23:38.1271680Z             
2025-03-21T20:23:38.1272668Z              # 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
2025-03-21T20:23:38.1273809Z             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
2025-03-21T20:23:38.1274912Z             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
2025-03-21T20:23:38.1275171Z             
2025-03-21T20:23:38.1276203Z              # 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)
2025-03-21T20:23:38.1276889Z             aten_view_copy_default_384: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_142, [8, 128])
2025-03-21T20:23:38.1277954Z             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
2025-03-21T20:23:38.1279476Z             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
2025-03-21T20:23:38.1280342Z             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
2025-03-21T20:23:38.1280479Z             
2025-03-21T20:23:38.1281537Z              # 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)
2025-03-21T20:23:38.1282241Z             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
2025-03-21T20:23:38.1282372Z             
2025-03-21T20:23:38.1283351Z              # 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)
2025-03-21T20:23:38.1284086Z             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
2025-03-21T20:23:38.1285087Z             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
2025-03-21T20:23:38.1286519Z             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
2025-03-21T20:23:38.1287283Z             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
2025-03-21T20:23:38.1287418Z             
2025-03-21T20:23:38.1288518Z              # 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)
2025-03-21T20:23:38.1289504Z             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
2025-03-21T20:23:38.1289648Z             
2025-03-21T20:23:38.1290641Z              # 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
2025-03-21T20:23:38.1291724Z             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
2025-03-21T20:23:38.1292954Z             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
2025-03-21T20:23:38.1293104Z             
2025-03-21T20:23:38.1294139Z              # 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)
2025-03-21T20:23:38.1294735Z             aten_view_copy_default_388: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_144, [8, 128])
2025-03-21T20:23:38.1295807Z             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
2025-03-21T20:23:38.1297433Z             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
2025-03-21T20:23:38.1298209Z             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
2025-03-21T20:23:38.1298340Z             
2025-03-21T20:23:38.1299404Z              # 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)
2025-03-21T20:23:38.1300158Z             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
2025-03-21T20:23:38.1300297Z             
2025-03-21T20:23:38.1301271Z              # 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)
2025-03-21T20:23:38.1302008Z             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
2025-03-21T20:23:38.1303075Z             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
2025-03-21T20:23:38.1304522Z             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
2025-03-21T20:23:38.1305291Z             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
2025-03-21T20:23:38.1305427Z             
2025-03-21T20:23:38.1306523Z              # 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)
2025-03-21T20:23:38.1307400Z             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
2025-03-21T20:23:38.1307529Z             
2025-03-21T20:23:38.1308710Z              # 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
2025-03-21T20:23:38.1309883Z             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
2025-03-21T20:23:38.1311027Z             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
2025-03-21T20:23:38.1311172Z             
2025-03-21T20:23:38.1312158Z              # 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)
2025-03-21T20:23:38.1312806Z             aten_view_copy_default_392: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_146, [8, 128])
2025-03-21T20:23:38.1313875Z             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
2025-03-21T20:23:38.1315409Z             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
2025-03-21T20:23:38.1316182Z             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
2025-03-21T20:23:38.1316319Z             
2025-03-21T20:23:38.1317371Z              # 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)
2025-03-21T20:23:38.1318142Z             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
2025-03-21T20:23:38.1318272Z             
2025-03-21T20:23:38.1319362Z              # 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)
2025-03-21T20:23:38.1320096Z             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
2025-03-21T20:23:38.1321097Z             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
2025-03-21T20:23:38.1322553Z             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
2025-03-21T20:23:38.1323336Z             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
2025-03-21T20:23:38.1323479Z             
2025-03-21T20:23:38.1324595Z              # 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)
2025-03-21T20:23:38.1325549Z             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
2025-03-21T20:23:38.1325684Z             
2025-03-21T20:23:38.1326735Z              # 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
2025-03-21T20:23:38.1327921Z             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
2025-03-21T20:23:38.1328978Z             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
2025-03-21T20:23:38.1329681Z             
2025-03-21T20:23:38.1330685Z              # 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)
2025-03-21T20:23:38.1331277Z             aten_view_copy_default_396: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_148, [8, 128])
2025-03-21T20:23:38.1332461Z             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
2025-03-21T20:23:38.1334073Z             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
2025-03-21T20:23:38.1334892Z             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
2025-03-21T20:23:38.1335025Z             
2025-03-21T20:23:38.1336078Z              # 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)
2025-03-21T20:23:38.1336876Z             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
2025-03-21T20:23:38.1337008Z             
2025-03-21T20:23:38.1338032Z              # 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)
2025-03-21T20:23:38.1338915Z             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
2025-03-21T20:23:38.1339946Z             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
2025-03-21T20:23:38.1341342Z             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
2025-03-21T20:23:38.1342098Z             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
2025-03-21T20:23:38.1342490Z             
2025-03-21T20:23:38.1343588Z              # 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)
2025-03-21T20:23:38.1344550Z             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
2025-03-21T20:23:38.1344687Z             
2025-03-21T20:23:38.1345829Z              # 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
2025-03-21T20:23:38.1346886Z             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
2025-03-21T20:23:38.1348019Z             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
2025-03-21T20:23:38.1348152Z             
2025-03-21T20:23:38.1349146Z              # 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)
2025-03-21T20:23:38.1349869Z             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
2025-03-21T20:23:38.1350925Z             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
2025-03-21T20:23:38.1352446Z             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
2025-03-21T20:23:38.1353220Z             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
2025-03-21T20:23:38.1353350Z             
2025-03-21T20:23:38.1354344Z              # 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)
2025-03-21T20:23:38.1355053Z             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
2025-03-21T20:23:38.1355183Z             
2025-03-21T20:23:38.1356291Z              # 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)
2025-03-21T20:23:38.1357136Z             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
2025-03-21T20:23:38.1357270Z             
2025-03-21T20:23:38.1358282Z              # 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
2025-03-21T20:23:38.1359464Z             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
2025-03-21T20:23:38.1360709Z             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
2025-03-21T20:23:38.1360943Z             
2025-03-21T20:23:38.1361977Z              # 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)
2025-03-21T20:23:38.1362571Z             aten_view_copy_default_402: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:23:38.1363617Z             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
2025-03-21T20:23:38.1365265Z             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
2025-03-21T20:23:38.1366029Z             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
2025-03-21T20:23:38.1366162Z             
2025-03-21T20:23:38.1367154Z              # 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
2025-03-21T20:23:38.1368380Z             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
2025-03-21T20:23:38.1369615Z             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
2025-03-21T20:23:38.1369753Z             
2025-03-21T20:23:38.1370720Z              # 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)
2025-03-21T20:23:38.1371304Z             aten_view_copy_default_404: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:23:38.1372394Z             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
2025-03-21T20:23:38.1373969Z             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
2025-03-21T20:23:38.1374732Z             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
2025-03-21T20:23:38.1375810Z             
2025-03-21T20:23:38.1377003Z              # 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
2025-03-21T20:23:38.1379412Z             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
2025-03-21T20:23:38.1382236Z             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
2025-03-21T20:23:38.1383765Z             
2025-03-21T20:23:38.1384972Z              # 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)
2025-03-21T20:23:38.1386734Z             aten_view_copy_default_406: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_154, [8, 128])
2025-03-21T20:23:38.1388484Z             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
2025-03-21T20:23:38.1391253Z             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
2025-03-21T20:23:38.1393705Z             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
2025-03-21T20:23:38.1394753Z             
2025-03-21T20:23:38.1395895Z              # 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)
2025-03-21T20:23:38.1397715Z             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
2025-03-21T20:23:38.1399581Z             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
2025-03-21T20:23:38.1402182Z             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
2025-03-21T20:23:38.1404529Z             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
2025-03-21T20:23:38.1405579Z             
2025-03-21T20:23:38.1406749Z              # 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)
2025-03-21T20:23:38.1408466Z             aten_view_copy_default_410: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:23:38.1410364Z             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
2025-03-21T20:23:38.1413030Z             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
2025-03-21T20:23:38.1415576Z             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
2025-03-21T20:23:38.1416623Z             
2025-03-21T20:23:38.1417858Z              # 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)
2025-03-21T20:23:38.1419892Z             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
2025-03-21T20:23:38.1421002Z             
2025-03-21T20:23:38.1422181Z              # 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)
2025-03-21T20:23:38.1424271Z             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
2025-03-21T20:23:38.1425385Z             
2025-03-21T20:23:38.1426510Z              # 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)
2025-03-21T20:23:38.1428399Z             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
2025-03-21T20:23:38.1429781Z             
2025-03-21T20:23:38.1430937Z              # 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)
2025-03-21T20:23:38.1432896Z             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
2025-03-21T20:23:38.1434010Z             
2025-03-21T20:23:38.1435143Z              # 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)
2025-03-21T20:23:38.1437202Z             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
2025-03-21T20:23:38.1438398Z             
2025-03-21T20:23:38.1449137Z              # 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)
2025-03-21T20:23:38.1451281Z             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
2025-03-21T20:23:38.1452437Z             
2025-03-21T20:23:38.1453781Z              # 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))
2025-03-21T20:23:38.1455967Z             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
2025-03-21T20:23:38.1457825Z             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
2025-03-21T20:23:38.1459611Z             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
2025-03-21T20:23:38.1461854Z             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
2025-03-21T20:23:38.1463777Z             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
2025-03-21T20:23:38.1465831Z             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
2025-03-21T20:23:38.1467671Z             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
2025-03-21T20:23:38.1468852Z             
2025-03-21T20:23:38.1470192Z              # 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)
2025-03-21T20:23:38.1472427Z             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
2025-03-21T20:23:38.1473644Z             
2025-03-21T20:23:38.1474864Z              # 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
2025-03-21T20:23:38.1476706Z             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
2025-03-21T20:23:38.1477683Z             
2025-03-21T20:23:38.1478977Z              # 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)
2025-03-21T20:23:38.1480953Z             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
2025-03-21T20:23:38.1481951Z             
2025-03-21T20:23:38.1483158Z              # 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)
2025-03-21T20:23:38.1485007Z             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
2025-03-21T20:23:38.1485966Z             
2025-03-21T20:23:38.1487226Z              # 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)
2025-03-21T20:23:38.1489500Z             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
2025-03-21T20:23:38.1491238Z             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
2025-03-21T20:23:38.1493027Z             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
2025-03-21T20:23:38.1494820Z             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
2025-03-21T20:23:38.1496891Z             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
2025-03-21T20:23:38.1498775Z             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
2025-03-21T20:23:38.1499873Z             
2025-03-21T20:23:38.1501163Z              # 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()
2025-03-21T20:23:38.1503279Z             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
2025-03-21T20:23:38.1505331Z             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
2025-03-21T20:23:38.1506587Z             
2025-03-21T20:23:38.1507854Z              # 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)
2025-03-21T20:23:38.1509827Z             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
2025-03-21T20:23:38.1510862Z             
2025-03-21T20:23:38.1512018Z              # 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)
2025-03-21T20:23:38.1513940Z             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
2025-03-21T20:23:38.1515925Z             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
2025-03-21T20:23:38.1518680Z             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
2025-03-21T20:23:38.1521104Z             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
2025-03-21T20:23:38.1522155Z             
2025-03-21T20:23:38.1523432Z              # 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)
2025-03-21T20:23:38.1525553Z             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
2025-03-21T20:23:38.1526707Z             
2025-03-21T20:23:38.1527886Z              # 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
2025-03-21T20:23:38.1530781Z             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
2025-03-21T20:23:38.1533623Z             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
2025-03-21T20:23:38.1535041Z             
2025-03-21T20:23:38.1536316Z              # 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)
2025-03-21T20:23:38.1538057Z             aten_view_copy_default_424: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_157, [8, 128])
2025-03-21T20:23:38.1539881Z             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
2025-03-21T20:23:38.1542759Z             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
2025-03-21T20:23:38.1545209Z             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
2025-03-21T20:23:38.1546252Z             
2025-03-21T20:23:38.1547486Z              # 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)
2025-03-21T20:23:38.1549376Z             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
2025-03-21T20:23:38.1550368Z             
2025-03-21T20:23:38.1551525Z              # 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)
2025-03-21T20:23:38.1553389Z             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
2025-03-21T20:23:38.1555264Z             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
2025-03-21T20:23:38.1557844Z             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
2025-03-21T20:23:38.1560205Z             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
2025-03-21T20:23:38.1561246Z             
2025-03-21T20:23:38.1562536Z              # 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)
2025-03-21T20:23:38.1564668Z             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
2025-03-21T20:23:38.1565850Z             
2025-03-21T20:23:38.1567025Z              # 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
2025-03-21T20:23:38.1569581Z             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
2025-03-21T20:23:38.1572006Z             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
2025-03-21T20:23:38.1573376Z             
2025-03-21T20:23:38.1574574Z              # 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)
2025-03-21T20:23:38.1576292Z             aten_view_copy_default_428: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_159, [8, 128])
2025-03-21T20:23:38.1578235Z             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
2025-03-21T20:23:38.1580992Z             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
2025-03-21T20:23:38.1583419Z             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
2025-03-21T20:23:38.1584463Z             
2025-03-21T20:23:38.1585707Z              # 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)
2025-03-21T20:23:38.1587604Z             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
2025-03-21T20:23:38.1588586Z             
2025-03-21T20:23:38.1589751Z              # 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)
2025-03-21T20:23:38.1591613Z             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
2025-03-21T20:23:38.1593485Z             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
2025-03-21T20:23:38.1596084Z             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
2025-03-21T20:23:38.1598439Z             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
2025-03-21T20:23:38.1599485Z             
2025-03-21T20:23:38.1600764Z              # 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)
2025-03-21T20:23:38.1603004Z             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
2025-03-21T20:23:38.1604149Z             
2025-03-21T20:23:38.1605431Z              # 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
2025-03-21T20:23:38.1607749Z             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
2025-03-21T20:23:38.1610160Z             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
2025-03-21T20:23:38.1611616Z             
2025-03-21T20:23:38.1612782Z              # 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)
2025-03-21T20:23:38.1614489Z             aten_view_copy_default_432: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_161, [8, 128])
2025-03-21T20:23:38.1616301Z             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
2025-03-21T20:23:38.1619049Z             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
2025-03-21T20:23:38.1621492Z             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
2025-03-21T20:23:38.1622527Z             
2025-03-21T20:23:38.1623769Z              # 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)
2025-03-21T20:23:38.1625675Z             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
2025-03-21T20:23:38.1626661Z             
2025-03-21T20:23:38.1627828Z              # 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)
2025-03-21T20:23:38.1630058Z             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
2025-03-21T20:23:38.1631949Z             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
2025-03-21T20:23:38.1634531Z             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
2025-03-21T20:23:38.1636870Z             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
2025-03-21T20:23:38.1638188Z             
2025-03-21T20:23:38.1639461Z              # 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)
2025-03-21T20:23:38.1641688Z             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
2025-03-21T20:23:38.1642869Z             
2025-03-21T20:23:38.1644184Z              # 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
2025-03-21T20:23:38.1646463Z             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
2025-03-21T20:23:38.1648897Z             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
2025-03-21T20:23:38.1650328Z             
2025-03-21T20:23:38.1651491Z              # 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)
2025-03-21T20:23:38.1653181Z             aten_view_copy_default_436: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_163, [8, 128])
2025-03-21T20:23:38.1654923Z             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
2025-03-21T20:23:38.1657564Z             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
2025-03-21T20:23:38.1659943Z             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
2025-03-21T20:23:38.1660982Z             
2025-03-21T20:23:38.1662209Z              # 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)
2025-03-21T20:23:38.1664098Z             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
2025-03-21T20:23:38.1665079Z             
2025-03-21T20:23:38.1666263Z              # 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)
2025-03-21T20:23:38.1668145Z             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
2025-03-21T20:23:38.1669965Z             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
2025-03-21T20:23:38.1672444Z             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
2025-03-21T20:23:38.1674898Z             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
2025-03-21T20:23:38.1675931Z             
2025-03-21T20:23:38.1677286Z              # 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)
2025-03-21T20:23:38.1679499Z             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
2025-03-21T20:23:38.1680667Z             
2025-03-21T20:23:38.1681856Z              # 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
2025-03-21T20:23:38.1684121Z             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
2025-03-21T20:23:38.1686315Z             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
2025-03-21T20:23:38.1687590Z             
2025-03-21T20:23:38.1688742Z              # 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)
2025-03-21T20:23:38.1690661Z             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
2025-03-21T20:23:38.1692595Z             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
2025-03-21T20:23:38.1695324Z             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
2025-03-21T20:23:38.1697737Z             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
2025-03-21T20:23:38.1698765Z             
2025-03-21T20:23:38.1699945Z              # 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)
2025-03-21T20:23:38.1701789Z             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
2025-03-21T20:23:38.1702766Z             
2025-03-21T20:23:38.1704033Z              # 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)
2025-03-21T20:23:38.1706085Z             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
2025-03-21T20:23:38.1707177Z             
2025-03-21T20:23:38.1708342Z              # 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
2025-03-21T20:23:38.1710795Z             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
2025-03-21T20:23:38.1713353Z             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
2025-03-21T20:23:38.1714786Z             
2025-03-21T20:23:38.1715935Z              # 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)
2025-03-21T20:23:38.1717611Z             aten_view_copy_default_442: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:23:38.1719501Z             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
2025-03-21T20:23:38.1722219Z             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
2025-03-21T20:23:38.1724632Z             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
2025-03-21T20:23:38.1725675Z             
2025-03-21T20:23:38.1726854Z              # 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
2025-03-21T20:23:38.1729231Z             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
2025-03-21T20:23:38.1732086Z             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
2025-03-21T20:23:38.1733498Z             
2025-03-21T20:23:38.1734648Z              # 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)
2025-03-21T20:23:38.1736334Z             aten_view_copy_default_444: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:23:38.1738169Z             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
2025-03-21T20:23:38.1740986Z             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
2025-03-21T20:23:38.1743451Z             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
2025-03-21T20:23:38.1744485Z             
2025-03-21T20:23:38.1745943Z              # 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
2025-03-21T20:23:38.1748498Z             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
2025-03-21T20:23:38.1751271Z             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
2025-03-21T20:23:38.1752753Z             
2025-03-21T20:23:38.1753939Z              # 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)
2025-03-21T20:23:38.1755784Z             aten_view_copy_default_446: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_169, [8, 128])
2025-03-21T20:23:38.1757535Z             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
2025-03-21T20:23:38.1760187Z             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
2025-03-21T20:23:38.1762564Z             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
2025-03-21T20:23:38.1763612Z             
2025-03-21T20:23:38.1764752Z              # 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)
2025-03-21T20:23:38.1766565Z             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
2025-03-21T20:23:38.1768424Z             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
2025-03-21T20:23:38.1771134Z             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
2025-03-21T20:23:38.1773500Z             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
2025-03-21T20:23:38.1774542Z             
2025-03-21T20:23:38.1775711Z              # 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)
2025-03-21T20:23:38.1777427Z             aten_view_copy_default_450: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:23:38.1779174Z             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
2025-03-21T20:23:38.1781986Z             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
2025-03-21T20:23:38.1784440Z             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
2025-03-21T20:23:38.1785583Z             
2025-03-21T20:23:38.1786748Z              # 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)
2025-03-21T20:23:38.1788696Z             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
2025-03-21T20:23:38.1789890Z             
2025-03-21T20:23:38.1791054Z              # 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)
2025-03-21T20:23:38.1793019Z             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
2025-03-21T20:23:38.1794138Z             
2025-03-21T20:23:38.1795271Z              # 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)
2025-03-21T20:23:38.1797166Z             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
2025-03-21T20:23:38.1798237Z             
2025-03-21T20:23:38.1799403Z              # 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)
2025-03-21T20:23:38.1801362Z             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
2025-03-21T20:23:38.1802479Z             
2025-03-21T20:23:38.1803626Z              # 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)
2025-03-21T20:23:38.1805519Z             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
2025-03-21T20:23:38.1806594Z             
2025-03-21T20:23:38.1807755Z              # 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)
2025-03-21T20:23:38.1809812Z             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
2025-03-21T20:23:38.1810928Z             
2025-03-21T20:23:38.1812257Z              # 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))
2025-03-21T20:23:38.1814420Z             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
2025-03-21T20:23:38.1816269Z             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
2025-03-21T20:23:38.1818300Z             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
2025-03-21T20:23:38.1820197Z             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
2025-03-21T20:23:38.1822021Z             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
2025-03-21T20:23:38.1823910Z             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
2025-03-21T20:23:38.1825850Z             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
2025-03-21T20:23:38.1826853Z             
2025-03-21T20:23:38.1828196Z              # 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)
2025-03-21T20:23:38.1830826Z             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
2025-03-21T20:23:38.1832039Z             
2025-03-21T20:23:38.1833250Z              # 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
2025-03-21T20:23:38.1835108Z             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
2025-03-21T20:23:38.1836054Z             
2025-03-21T20:23:38.1837344Z              # 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)
2025-03-21T20:23:38.1839309Z             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
2025-03-21T20:23:38.1840299Z             
2025-03-21T20:23:38.1841491Z              # 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)
2025-03-21T20:23:38.1843344Z             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
2025-03-21T20:23:38.1844304Z             
2025-03-21T20:23:38.1845553Z              # 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)
2025-03-21T20:23:38.1847530Z             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
2025-03-21T20:23:38.1849237Z             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
2025-03-21T20:23:38.1851121Z             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
2025-03-21T20:23:38.1853293Z             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
2025-03-21T20:23:38.1855375Z             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
2025-03-21T20:23:38.1857225Z             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
2025-03-21T20:23:38.1858232Z             
2025-03-21T20:23:38.1859499Z              # 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()
2025-03-21T20:23:38.1861714Z             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
2025-03-21T20:23:38.1863693Z             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
2025-03-21T20:23:38.1864946Z             
2025-03-21T20:23:38.1866208Z              # 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)
2025-03-21T20:23:38.1868173Z             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
2025-03-21T20:23:38.1869215Z             
2025-03-21T20:23:38.1870371Z              # 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)
2025-03-21T20:23:38.1872290Z             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
2025-03-21T20:23:38.1874287Z             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
2025-03-21T20:23:38.1877028Z             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
2025-03-21T20:23:38.1879454Z             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
2025-03-21T20:23:38.1880501Z             
2025-03-21T20:23:38.1881784Z              # 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)
2025-03-21T20:23:38.1883895Z             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
2025-03-21T20:23:38.1885040Z             
2025-03-21T20:23:38.1886222Z              # 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
2025-03-21T20:23:38.1888738Z             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
2025-03-21T20:23:38.1891375Z             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
2025-03-21T20:23:38.1892795Z             
2025-03-21T20:23:38.1893960Z              # 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)
2025-03-21T20:23:38.1895656Z             aten_view_copy_default_464: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_172, [8, 128])
2025-03-21T20:23:38.1897537Z             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
2025-03-21T20:23:38.1900276Z             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
2025-03-21T20:23:38.1902705Z             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
2025-03-21T20:23:38.1903739Z             
2025-03-21T20:23:38.1904981Z              # 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)
2025-03-21T20:23:38.1906894Z             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
2025-03-21T20:23:38.1907877Z             
2025-03-21T20:23:38.1909033Z              # 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)
2025-03-21T20:23:38.1910882Z             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
2025-03-21T20:23:38.1912753Z             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
2025-03-21T20:23:38.1915339Z             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
2025-03-21T20:23:38.1917681Z             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
2025-03-21T20:23:38.1918727Z             
2025-03-21T20:23:38.1919995Z              # 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)
2025-03-21T20:23:38.1922097Z             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
2025-03-21T20:23:38.1923383Z             
2025-03-21T20:23:38.1924636Z              # 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
2025-03-21T20:23:38.1926992Z             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
2025-03-21T20:23:38.1929701Z             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
2025-03-21T20:23:38.1931051Z             
2025-03-21T20:23:38.1932453Z              # 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)
2025-03-21T20:23:38.1934156Z             aten_view_copy_default_468: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_174, [8, 128])
2025-03-21T20:23:38.1935975Z             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
2025-03-21T20:23:38.1938716Z             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
2025-03-21T20:23:38.1941144Z             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
2025-03-21T20:23:38.1942180Z             
2025-03-21T20:23:38.1943419Z              # 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)
2025-03-21T20:23:38.1945318Z             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
2025-03-21T20:23:38.1946303Z             
2025-03-21T20:23:38.1947456Z              # 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)
2025-03-21T20:23:38.1949402Z             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
2025-03-21T20:23:38.1951285Z             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
2025-03-21T20:23:38.1953930Z             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
2025-03-21T20:23:38.1956279Z             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
2025-03-21T20:23:38.1957326Z             
2025-03-21T20:23:38.1958810Z              # 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)
2025-03-21T20:23:38.1961030Z             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
2025-03-21T20:23:38.1962195Z             
2025-03-21T20:23:38.1963475Z              # 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
2025-03-21T20:23:38.1965738Z             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
2025-03-21T20:23:38.1968164Z             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
2025-03-21T20:23:38.1969605Z             
2025-03-21T20:23:38.1970789Z              # 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)
2025-03-21T20:23:38.1972498Z             aten_view_copy_default_472: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_176, [8, 128])
2025-03-21T20:23:38.1974296Z             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
2025-03-21T20:23:38.1977038Z             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
2025-03-21T20:23:38.1979478Z             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
2025-03-21T20:23:38.1980526Z             
2025-03-21T20:23:38.1981763Z              # 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)
2025-03-21T20:23:38.1983667Z             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
2025-03-21T20:23:38.1984656Z             
2025-03-21T20:23:38.1985803Z              # 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)
2025-03-21T20:23:38.1987665Z             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
2025-03-21T20:23:38.1989546Z             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
2025-03-21T20:23:38.1992127Z             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
2025-03-21T20:23:38.1994624Z             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
2025-03-21T20:23:38.1995670Z             
2025-03-21T20:23:38.1997024Z              # 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)
2025-03-21T20:23:38.1999265Z             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
2025-03-21T20:23:38.2000447Z             
2025-03-21T20:23:38.2001625Z              # 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
2025-03-21T20:23:38.2003967Z             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
2025-03-21T20:23:38.2006253Z             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
2025-03-21T20:23:38.2007590Z             
2025-03-21T20:23:38.2008765Z              # 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)
2025-03-21T20:23:38.2010578Z             aten_view_copy_default_476: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_178, [8, 128])
2025-03-21T20:23:38.2012343Z             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
2025-03-21T20:23:38.2014981Z             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
2025-03-21T20:23:38.2017348Z             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
2025-03-21T20:23:38.2018384Z             
2025-03-21T20:23:38.2019615Z              # 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)
2025-03-21T20:23:38.2021509Z             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
2025-03-21T20:23:38.2022488Z             
2025-03-21T20:23:38.2023678Z              # 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)
2025-03-21T20:23:38.2025557Z             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
2025-03-21T20:23:38.2027386Z             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
2025-03-21T20:23:38.2030373Z             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
2025-03-21T20:23:38.2032857Z             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
2025-03-21T20:23:38.2034085Z             
2025-03-21T20:23:38.2035394Z              # 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)
2025-03-21T20:23:38.2037532Z             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
2025-03-21T20:23:38.2038842Z             
2025-03-21T20:23:38.2040028Z              # 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
2025-03-21T20:23:38.2042219Z             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
2025-03-21T20:23:38.2044414Z             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
2025-03-21T20:23:38.2045696Z             
2025-03-21T20:23:38.2046876Z              # 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)
2025-03-21T20:23:38.2048720Z             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
2025-03-21T20:23:38.2050748Z             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
2025-03-21T20:23:38.2053501Z             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
2025-03-21T20:23:38.2055930Z             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
2025-03-21T20:23:38.2056965Z             
2025-03-21T20:23:38.2058130Z              # 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)
2025-03-21T20:23:38.2059970Z             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
2025-03-21T20:23:38.2060968Z             
2025-03-21T20:23:38.2062234Z              # 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)
2025-03-21T20:23:38.2064291Z             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
2025-03-21T20:23:38.2065612Z             
2025-03-21T20:23:38.2066775Z              # 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
2025-03-21T20:23:38.2069190Z             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
2025-03-21T20:23:38.2071669Z             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
2025-03-21T20:23:38.2073077Z             
2025-03-21T20:23:38.2074229Z              # 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)
2025-03-21T20:23:38.2076031Z             aten_view_copy_default_482: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:23:38.2077819Z             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
2025-03-21T20:23:38.2080524Z             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
2025-03-21T20:23:38.2082930Z             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
2025-03-21T20:23:38.2083975Z             
2025-03-21T20:23:38.2085152Z              # 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
2025-03-21T20:23:38.2087527Z             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
2025-03-21T20:23:38.2090115Z             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
2025-03-21T20:23:38.2091511Z             
2025-03-21T20:23:38.2092660Z              # 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)
2025-03-21T20:23:38.2094348Z             aten_view_copy_default_484: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:23:38.2096184Z             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
2025-03-21T20:23:38.2098993Z             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
2025-03-21T20:23:38.2101604Z             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
2025-03-21T20:23:38.2102654Z             
2025-03-21T20:23:38.2103926Z              # 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
2025-03-21T20:23:38.2106502Z             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
2025-03-21T20:23:38.2109115Z             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
2025-03-21T20:23:38.2110667Z             
2025-03-21T20:23:38.2111842Z              # 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)
2025-03-21T20:23:38.2113553Z             aten_view_copy_default_486: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_184, [8, 128])
2025-03-21T20:23:38.2115303Z             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
2025-03-21T20:23:38.2117946Z             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
2025-03-21T20:23:38.2120329Z             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
2025-03-21T20:23:38.2121365Z             
2025-03-21T20:23:38.2122505Z              # 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)
2025-03-21T20:23:38.2124314Z             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
2025-03-21T20:23:38.2126166Z             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
2025-03-21T20:23:38.2128768Z             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
2025-03-21T20:23:38.2131539Z             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
2025-03-21T20:23:38.2132578Z             
2025-03-21T20:23:38.2133747Z              # 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)
2025-03-21T20:23:38.2135452Z             aten_view_copy_default_490: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:23:38.2137445Z             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
2025-03-21T20:23:38.2140257Z             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
2025-03-21T20:23:38.2142687Z             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
2025-03-21T20:23:38.2143733Z             
2025-03-21T20:23:38.2144895Z              # 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)
2025-03-21T20:23:38.2146962Z             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
2025-03-21T20:23:38.2148050Z             
2025-03-21T20:23:38.2149211Z              # 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)
2025-03-21T20:23:38.2151177Z             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
2025-03-21T20:23:38.2152289Z             
2025-03-21T20:23:38.2153414Z              # 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)
2025-03-21T20:23:38.2155307Z             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
2025-03-21T20:23:38.2156383Z             
2025-03-21T20:23:38.2157532Z              # 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)
2025-03-21T20:23:38.2159494Z             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
2025-03-21T20:23:38.2160618Z             
2025-03-21T20:23:38.2161748Z              # 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)
2025-03-21T20:23:38.2163641Z             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
2025-03-21T20:23:38.2164715Z             
2025-03-21T20:23:38.2165869Z              # 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)
2025-03-21T20:23:38.2167827Z             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
2025-03-21T20:23:38.2168939Z             
2025-03-21T20:23:38.2170374Z              # 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))
2025-03-21T20:23:38.2172720Z             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
2025-03-21T20:23:38.2174676Z             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
2025-03-21T20:23:38.2176569Z             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
2025-03-21T20:23:38.2178388Z             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
2025-03-21T20:23:38.2180189Z             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
2025-03-21T20:23:38.2182213Z             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
2025-03-21T20:23:38.2184048Z             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
2025-03-21T20:23:38.2185067Z             
2025-03-21T20:23:38.2186398Z              # 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)
2025-03-21T20:23:38.2188621Z             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
2025-03-21T20:23:38.2189834Z             
2025-03-21T20:23:38.2191044Z              # 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
2025-03-21T20:23:38.2192891Z             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
2025-03-21T20:23:38.2193844Z             
2025-03-21T20:23:38.2195131Z              # 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)
2025-03-21T20:23:38.2197103Z             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
2025-03-21T20:23:38.2198095Z             
2025-03-21T20:23:38.2199288Z              # 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)
2025-03-21T20:23:38.2201131Z             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
2025-03-21T20:23:38.2202093Z             
2025-03-21T20:23:38.2203343Z              # 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)
2025-03-21T20:23:38.2205325Z             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
2025-03-21T20:23:38.2207169Z             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
2025-03-21T20:23:38.2209105Z             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
2025-03-21T20:23:38.2211099Z             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
2025-03-21T20:23:38.2213018Z             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
2025-03-21T20:23:38.2214843Z             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
2025-03-21T20:23:38.2215949Z             
2025-03-21T20:23:38.2217233Z              # 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()
2025-03-21T20:23:38.2219311Z             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
2025-03-21T20:23:38.2221269Z             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
2025-03-21T20:23:38.2222508Z             
2025-03-21T20:23:38.2223777Z              # 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)
2025-03-21T20:23:38.2225756Z             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
2025-03-21T20:23:38.2226804Z             
2025-03-21T20:23:38.2227966Z              # 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)
2025-03-21T20:23:38.2230197Z             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
2025-03-21T20:23:38.2232179Z             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
2025-03-21T20:23:38.2234908Z             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
2025-03-21T20:23:38.2237314Z             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
2025-03-21T20:23:38.2238347Z             
2025-03-21T20:23:38.2239444Z              # 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)
2025-03-21T20:23:38.2240311Z             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
2025-03-21T20:23:38.2240707Z             
2025-03-21T20:23:38.2241843Z              # 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
2025-03-21T20:23:38.2243123Z             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
2025-03-21T20:23:38.2244266Z             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
2025-03-21T20:23:38.2244394Z             
2025-03-21T20:23:38.2245378Z              # 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)
2025-03-21T20:23:38.2246106Z             aten_view_copy_default_504: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_187, [8, 128])
2025-03-21T20:23:38.2247180Z             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
2025-03-21T20:23:38.2248696Z             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
2025-03-21T20:23:38.2249564Z             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
2025-03-21T20:23:38.2249699Z             
2025-03-21T20:23:38.2250763Z              # 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)
2025-03-21T20:23:38.2251463Z             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
2025-03-21T20:23:38.2251589Z             
2025-03-21T20:23:38.2252565Z              # 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)
2025-03-21T20:23:38.2253290Z             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
2025-03-21T20:23:38.2254298Z             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
2025-03-21T20:23:38.2255733Z             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
2025-03-21T20:23:38.2256498Z             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
2025-03-21T20:23:38.2256630Z             
2025-03-21T20:23:38.2257837Z              # 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)
2025-03-21T20:23:38.2258784Z             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
2025-03-21T20:23:38.2258936Z             
2025-03-21T20:23:38.2259990Z              # 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
2025-03-21T20:23:38.2261113Z             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
2025-03-21T20:23:38.2262183Z             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
2025-03-21T20:23:38.2262391Z             
2025-03-21T20:23:38.2263385Z              # 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)
2025-03-21T20:23:38.2263971Z             aten_view_copy_default_508: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_189, [8, 128])
2025-03-21T20:23:38.2265030Z             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
2025-03-21T20:23:38.2266550Z             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
2025-03-21T20:23:38.2267313Z             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
2025-03-21T20:23:38.2267446Z             
2025-03-21T20:23:38.2268494Z              # 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)
2025-03-21T20:23:38.2269194Z             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
2025-03-21T20:23:38.2269323Z             
2025-03-21T20:23:38.2270295Z              # 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)
2025-03-21T20:23:38.2271032Z             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
2025-03-21T20:23:38.2272020Z             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
2025-03-21T20:23:38.2273459Z             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
2025-03-21T20:23:38.2274322Z             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
2025-03-21T20:23:38.2274460Z             
2025-03-21T20:23:38.2275616Z              # 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)
2025-03-21T20:23:38.2276579Z             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
2025-03-21T20:23:38.2276723Z             
2025-03-21T20:23:38.2277745Z              # 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
2025-03-21T20:23:38.2278930Z             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
2025-03-21T20:23:38.2280008Z             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
2025-03-21T20:23:38.2280143Z             
2025-03-21T20:23:38.2281126Z              # 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)
2025-03-21T20:23:38.2281706Z             aten_view_copy_default_512: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_191, [8, 128])
2025-03-21T20:23:38.2282776Z             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
2025-03-21T20:23:38.2284302Z             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
2025-03-21T20:23:38.2285071Z             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
2025-03-21T20:23:38.2285198Z             
2025-03-21T20:23:38.2286260Z              # 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)
2025-03-21T20:23:38.2286969Z             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
2025-03-21T20:23:38.2287107Z             
2025-03-21T20:23:38.2288080Z              # 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)
2025-03-21T20:23:38.2288818Z             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
2025-03-21T20:23:38.2289918Z             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
2025-03-21T20:23:38.2291461Z             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
2025-03-21T20:23:38.2292281Z             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
2025-03-21T20:23:38.2292485Z             
2025-03-21T20:23:38.2293607Z              # 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)
2025-03-21T20:23:38.2294476Z             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
2025-03-21T20:23:38.2294704Z             
2025-03-21T20:23:38.2295713Z              # 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
2025-03-21T20:23:38.2296826Z             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
2025-03-21T20:23:38.2297896Z             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
2025-03-21T20:23:38.2298032Z             
2025-03-21T20:23:38.2299011Z              # 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)
2025-03-21T20:23:38.2299605Z             aten_view_copy_default_516: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_193, [8, 128])
2025-03-21T20:23:38.2300629Z             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
2025-03-21T20:23:38.2302119Z             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
2025-03-21T20:23:38.2302884Z             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
2025-03-21T20:23:38.2303025Z             
2025-03-21T20:23:38.2304081Z              # 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)
2025-03-21T20:23:38.2304793Z             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
2025-03-21T20:23:38.2304923Z             
2025-03-21T20:23:38.2305936Z              # 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)
2025-03-21T20:23:38.2306666Z             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
2025-03-21T20:23:38.2307763Z             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
2025-03-21T20:23:38.2309259Z             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
2025-03-21T20:23:38.2310051Z             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
2025-03-21T20:23:38.2310181Z             
2025-03-21T20:23:38.2311275Z              # 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)
2025-03-21T20:23:38.2312238Z             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
2025-03-21T20:23:38.2312371Z             
2025-03-21T20:23:38.2313384Z              # 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
2025-03-21T20:23:38.2314425Z             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
2025-03-21T20:23:38.2315440Z             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
2025-03-21T20:23:38.2315573Z             
2025-03-21T20:23:38.2316549Z              # 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)
2025-03-21T20:23:38.2317267Z             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
2025-03-21T20:23:38.2318337Z             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
2025-03-21T20:23:38.2319856Z             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
2025-03-21T20:23:38.2320629Z             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
2025-03-21T20:23:38.2320758Z             
2025-03-21T20:23:38.2321753Z              # 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)
2025-03-21T20:23:38.2322463Z             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
2025-03-21T20:23:38.2322600Z             
2025-03-21T20:23:38.2323687Z              # 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)
2025-03-21T20:23:38.2324617Z             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
2025-03-21T20:23:38.2324804Z             
2025-03-21T20:23:38.2325905Z              # 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
2025-03-21T20:23:38.2327086Z             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
2025-03-21T20:23:38.2328229Z             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
2025-03-21T20:23:38.2328435Z             
2025-03-21T20:23:38.2329804Z              # 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)
2025-03-21T20:23:38.2330402Z             aten_view_copy_default_522: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:23:38.2331452Z             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
2025-03-21T20:23:38.2332975Z             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
2025-03-21T20:23:38.2333748Z             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
2025-03-21T20:23:38.2333879Z             
2025-03-21T20:23:38.2334878Z              # 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
2025-03-21T20:23:38.2336115Z             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
2025-03-21T20:23:38.2337247Z             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
2025-03-21T20:23:38.2337386Z             
2025-03-21T20:23:38.2338350Z              # 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)
2025-03-21T20:23:38.2338958Z             aten_view_copy_default_524: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:23:38.2340054Z             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
2025-03-21T20:23:38.2341633Z             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
2025-03-21T20:23:38.2342752Z             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
2025-03-21T20:23:38.2342909Z             
2025-03-21T20:23:38.2344008Z              # 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
2025-03-21T20:23:38.2345323Z             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
2025-03-21T20:23:38.2346656Z             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
2025-03-21T20:23:38.2346801Z             
2025-03-21T20:23:38.2347798Z              # 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)
2025-03-21T20:23:38.2348379Z             aten_view_copy_default_526: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_199, [8, 128])
2025-03-21T20:23:38.2349391Z             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
2025-03-21T20:23:38.2350878Z             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
2025-03-21T20:23:38.2351635Z             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
2025-03-21T20:23:38.2351770Z             
2025-03-21T20:23:38.2352726Z              # 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)
2025-03-21T20:23:38.2353441Z             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
2025-03-21T20:23:38.2354442Z             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
2025-03-21T20:23:38.2355894Z             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
2025-03-21T20:23:38.2356650Z             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
2025-03-21T20:23:38.2356784Z             
2025-03-21T20:23:38.2357771Z              # 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)
2025-03-21T20:23:38.2358477Z             aten_view_copy_default_530: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:23:38.2359555Z             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
2025-03-21T20:23:38.2361158Z             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
2025-03-21T20:23:38.2361930Z             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
2025-03-21T20:23:38.2362209Z             
2025-03-21T20:23:38.2363166Z              # 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)
2025-03-21T20:23:38.2363965Z             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
2025-03-21T20:23:38.2364098Z             
2025-03-21T20:23:38.2365067Z              # 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)
2025-03-21T20:23:38.2365926Z             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
2025-03-21T20:23:38.2366076Z             
2025-03-21T20:23:38.2367049Z              # 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)
2025-03-21T20:23:38.2367872Z             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
2025-03-21T20:23:38.2368015Z             
2025-03-21T20:23:38.2369000Z              # 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)
2025-03-21T20:23:38.2369985Z             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
2025-03-21T20:23:38.2370150Z             
2025-03-21T20:23:38.2371106Z              # 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)
2025-03-21T20:23:38.2371931Z             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
2025-03-21T20:23:38.2372059Z             
2025-03-21T20:23:38.2373038Z              # 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)
2025-03-21T20:23:38.2373870Z             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
2025-03-21T20:23:38.2374116Z             
2025-03-21T20:23:38.2375288Z              # 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))
2025-03-21T20:23:38.2376242Z             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
2025-03-21T20:23:38.2377174Z             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
2025-03-21T20:23:38.2378000Z             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
2025-03-21T20:23:38.2378848Z             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
2025-03-21T20:23:38.2379736Z             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
2025-03-21T20:23:38.2380683Z             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
2025-03-21T20:23:38.2381413Z             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
2025-03-21T20:23:38.2381543Z             
2025-03-21T20:23:38.2382707Z              # 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)
2025-03-21T20:23:38.2383650Z             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
2025-03-21T20:23:38.2383794Z             
2025-03-21T20:23:38.2384828Z              # 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
2025-03-21T20:23:38.2385511Z             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
2025-03-21T20:23:38.2385642Z             
2025-03-21T20:23:38.2386750Z              # 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)
2025-03-21T20:23:38.2387476Z             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
2025-03-21T20:23:38.2387609Z             
2025-03-21T20:23:38.2388636Z              # 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)
2025-03-21T20:23:38.2389320Z             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
2025-03-21T20:23:38.2389464Z             
2025-03-21T20:23:38.2390527Z              # 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)
2025-03-21T20:23:38.2391405Z             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
2025-03-21T20:23:38.2392265Z             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
2025-03-21T20:23:38.2393223Z             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
2025-03-21T20:23:38.2394055Z             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
2025-03-21T20:23:38.2394999Z             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
2025-03-21T20:23:38.2395820Z             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
2025-03-21T20:23:38.2395964Z             
2025-03-21T20:23:38.2397064Z              # 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()
2025-03-21T20:23:38.2397912Z             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
2025-03-21T20:23:38.2398876Z             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
2025-03-21T20:23:38.2399016Z             
2025-03-21T20:23:38.2400085Z              # 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)
2025-03-21T20:23:38.2400842Z             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
2025-03-21T20:23:38.2400978Z             
2025-03-21T20:23:38.2401949Z              # 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)
2025-03-21T20:23:38.2402749Z             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
2025-03-21T20:23:38.2403804Z             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
2025-03-21T20:23:38.2405327Z             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
2025-03-21T20:23:38.2406090Z             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
2025-03-21T20:23:38.2406226Z             
2025-03-21T20:23:38.2407318Z              # 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)
2025-03-21T20:23:38.2408398Z             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
2025-03-21T20:23:38.2408541Z             
2025-03-21T20:23:38.2409713Z              # 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
2025-03-21T20:23:38.2410883Z             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
2025-03-21T20:23:38.2412021Z             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
2025-03-21T20:23:38.2412229Z             
2025-03-21T20:23:38.2413217Z              # 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)
2025-03-21T20:23:38.2413797Z             aten_view_copy_default_544: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_202, [8, 128])
2025-03-21T20:23:38.2414875Z             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
2025-03-21T20:23:38.2416401Z             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
2025-03-21T20:23:38.2417185Z             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
2025-03-21T20:23:38.2417318Z             
2025-03-21T20:23:38.2418384Z              # 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)
2025-03-21T20:23:38.2419084Z             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
2025-03-21T20:23:38.2419219Z             
2025-03-21T20:23:38.2420206Z              # 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)
2025-03-21T20:23:38.2420939Z             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
2025-03-21T20:23:38.2421944Z             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
2025-03-21T20:23:38.2423593Z             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
2025-03-21T20:23:38.2424492Z             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
2025-03-21T20:23:38.2424623Z             
2025-03-21T20:23:38.2425802Z              # 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)
2025-03-21T20:23:38.2426787Z             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
2025-03-21T20:23:38.2426942Z             
2025-03-21T20:23:38.2427942Z              # 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
2025-03-21T20:23:38.2429117Z             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
2025-03-21T20:23:38.2430426Z             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
2025-03-21T20:23:38.2430575Z             
2025-03-21T20:23:38.2431545Z              # 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)
2025-03-21T20:23:38.2432131Z             aten_view_copy_default_548: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_204, [8, 128])
2025-03-21T20:23:38.2433200Z             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
2025-03-21T20:23:38.2434741Z             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
2025-03-21T20:23:38.2435506Z             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
2025-03-21T20:23:38.2435640Z             
2025-03-21T20:23:38.2436693Z              # 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)
2025-03-21T20:23:38.2437401Z             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
2025-03-21T20:23:38.2437528Z             
2025-03-21T20:23:38.2438495Z              # 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)
2025-03-21T20:23:38.2439232Z             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
2025-03-21T20:23:38.2440225Z             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
2025-03-21T20:23:38.2442032Z             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
2025-03-21T20:23:38.2442925Z             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
2025-03-21T20:23:38.2443226Z             
2025-03-21T20:23:38.2444330Z              # 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)
2025-03-21T20:23:38.2445199Z             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
2025-03-21T20:23:38.2445453Z             
2025-03-21T20:23:38.2446457Z              # 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
2025-03-21T20:23:38.2447552Z             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
2025-03-21T20:23:38.2448617Z             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
2025-03-21T20:23:38.2448742Z             
2025-03-21T20:23:38.2449798Z              # 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)
2025-03-21T20:23:38.2450384Z             aten_view_copy_default_552: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_206, [8, 128])
2025-03-21T20:23:38.2451457Z             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
2025-03-21T20:23:38.2452978Z             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
2025-03-21T20:23:38.2453751Z             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
2025-03-21T20:23:38.2453881Z             
2025-03-21T20:23:38.2454940Z              # 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)
2025-03-21T20:23:38.2455641Z             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
2025-03-21T20:23:38.2455776Z             
2025-03-21T20:23:38.2456742Z              # 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)
2025-03-21T20:23:38.2457475Z             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
2025-03-21T20:23:38.2458569Z             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
2025-03-21T20:23:38.2460114Z             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
2025-03-21T20:23:38.2460908Z             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
2025-03-21T20:23:38.2461051Z             
2025-03-21T20:23:38.2462167Z              # 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)
2025-03-21T20:23:38.2463118Z             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
2025-03-21T20:23:38.2463264Z             
2025-03-21T20:23:38.2464262Z              # 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
2025-03-21T20:23:38.2465384Z             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
2025-03-21T20:23:38.2466441Z             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
2025-03-21T20:23:38.2466584Z             
2025-03-21T20:23:38.2467558Z              # 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)
2025-03-21T20:23:38.2468144Z             aten_view_copy_default_556: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_208, [8, 128])
2025-03-21T20:23:38.2469160Z             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
2025-03-21T20:23:38.2470637Z             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
2025-03-21T20:23:38.2471404Z             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
2025-03-21T20:23:38.2471539Z             
2025-03-21T20:23:38.2472589Z              # 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)
2025-03-21T20:23:38.2473291Z             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
2025-03-21T20:23:38.2473420Z             
2025-03-21T20:23:38.2474432Z              # 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)
2025-03-21T20:23:38.2475249Z             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
2025-03-21T20:23:38.2476341Z             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
2025-03-21T20:23:38.2477763Z             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
2025-03-21T20:23:38.2478536Z             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
2025-03-21T20:23:38.2478755Z             
2025-03-21T20:23:38.2479873Z              # 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)
2025-03-21T20:23:38.2480759Z             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
2025-03-21T20:23:38.2480890Z             
2025-03-21T20:23:38.2481893Z              # 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
2025-03-21T20:23:38.2482947Z             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
2025-03-21T20:23:38.2483978Z             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
2025-03-21T20:23:38.2484115Z             
2025-03-21T20:23:38.2485105Z              # 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)
2025-03-21T20:23:38.2485823Z             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
2025-03-21T20:23:38.2486900Z             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
2025-03-21T20:23:38.2488442Z             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
2025-03-21T20:23:38.2489213Z             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
2025-03-21T20:23:38.2489456Z             
2025-03-21T20:23:38.2490465Z              # 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)
2025-03-21T20:23:38.2491179Z             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
2025-03-21T20:23:38.2491448Z             
2025-03-21T20:23:38.2492665Z              # 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)
2025-03-21T20:23:38.2493590Z             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
2025-03-21T20:23:38.2493740Z             
2025-03-21T20:23:38.2494763Z              # 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
2025-03-21T20:23:38.2495928Z             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
2025-03-21T20:23:38.2497195Z             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
2025-03-21T20:23:38.2497326Z             
2025-03-21T20:23:38.2498296Z              # 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)
2025-03-21T20:23:38.2498882Z             aten_view_copy_default_562: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:23:38.2499933Z             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
2025-03-21T20:23:38.2501464Z             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
2025-03-21T20:23:38.2502238Z             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
2025-03-21T20:23:38.2502370Z             
2025-03-21T20:23:38.2503362Z              # 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
2025-03-21T20:23:38.2504600Z             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
2025-03-21T20:23:38.2505729Z             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
2025-03-21T20:23:38.2505870Z             
2025-03-21T20:23:38.2506829Z              # 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)
2025-03-21T20:23:38.2507411Z             aten_view_copy_default_564: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:23:38.2508597Z             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
2025-03-21T20:23:38.2510255Z             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
2025-03-21T20:23:38.2511033Z             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
2025-03-21T20:23:38.2511171Z             
2025-03-21T20:23:38.2512168Z              # 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
2025-03-21T20:23:38.2513562Z             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
2025-03-21T20:23:38.2514740Z             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
2025-03-21T20:23:38.2514879Z             
2025-03-21T20:23:38.2515870Z              # 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)
2025-03-21T20:23:38.2516455Z             aten_view_copy_default_566: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_214, [8, 128])
2025-03-21T20:23:38.2517483Z             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
2025-03-21T20:23:38.2518978Z             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
2025-03-21T20:23:38.2519745Z             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
2025-03-21T20:23:38.2519880Z             
2025-03-21T20:23:38.2520835Z              # 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)
2025-03-21T20:23:38.2521566Z             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
2025-03-21T20:23:38.2522570Z             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
2025-03-21T20:23:38.2524034Z             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
2025-03-21T20:23:38.2524901Z             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
2025-03-21T20:23:38.2525042Z             
2025-03-21T20:23:38.2526092Z              # 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)
2025-03-21T20:23:38.2526746Z             aten_view_copy_default_570: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:23:38.2527793Z             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
2025-03-21T20:23:38.2529623Z             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
2025-03-21T20:23:38.2530627Z             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
2025-03-21T20:23:38.2530771Z             
2025-03-21T20:23:38.2531731Z              # 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)
2025-03-21T20:23:38.2532530Z             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
2025-03-21T20:23:38.2532668Z             
2025-03-21T20:23:38.2533676Z              # 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)
2025-03-21T20:23:38.2534537Z             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
2025-03-21T20:23:38.2534667Z             
2025-03-21T20:23:38.2535623Z              # 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)
2025-03-21T20:23:38.2536424Z             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
2025-03-21T20:23:38.2536568Z             
2025-03-21T20:23:38.2537548Z              # 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)
2025-03-21T20:23:38.2538409Z             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
2025-03-21T20:23:38.2538544Z             
2025-03-21T20:23:38.2539508Z              # 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)
2025-03-21T20:23:38.2540308Z             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
2025-03-21T20:23:38.2540437Z             
2025-03-21T20:23:38.2541413Z              # 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)
2025-03-21T20:23:38.2542415Z             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
2025-03-21T20:23:38.2542557Z             
2025-03-21T20:23:38.2543916Z              # 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))
2025-03-21T20:23:38.2544828Z             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
2025-03-21T20:23:38.2545681Z             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
2025-03-21T20:23:38.2546566Z             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
2025-03-21T20:23:38.2547420Z             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
2025-03-21T20:23:38.2548228Z             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
2025-03-21T20:23:38.2549167Z             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
2025-03-21T20:23:38.2549899Z             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
2025-03-21T20:23:38.2550037Z             
2025-03-21T20:23:38.2551204Z              # 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)
2025-03-21T20:23:38.2552144Z             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
2025-03-21T20:23:38.2552278Z             
2025-03-21T20:23:38.2553310Z              # 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
2025-03-21T20:23:38.2553991Z             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
2025-03-21T20:23:38.2554125Z             
2025-03-21T20:23:38.2555235Z              # 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)
2025-03-21T20:23:38.2555966Z             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
2025-03-21T20:23:38.2556094Z             
2025-03-21T20:23:38.2557115Z              # 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)
2025-03-21T20:23:38.2557799Z             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
2025-03-21T20:23:38.2558076Z             
2025-03-21T20:23:38.2559154Z              # 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)
2025-03-21T20:23:38.2560041Z             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
2025-03-21T20:23:38.2560852Z             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
2025-03-21T20:23:38.2561708Z             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
2025-03-21T20:23:38.2562567Z             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
2025-03-21T20:23:38.2563521Z             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
2025-03-21T20:23:38.2564254Z             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
2025-03-21T20:23:38.2564390Z             
2025-03-21T20:23:38.2565477Z              # 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()
2025-03-21T20:23:38.2566324Z             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
2025-03-21T20:23:38.2567290Z             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
2025-03-21T20:23:38.2567429Z             
2025-03-21T20:23:38.2568499Z              # 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)
2025-03-21T20:23:38.2569258Z             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
2025-03-21T20:23:38.2569517Z             
2025-03-21T20:23:38.2570502Z              # 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)
2025-03-21T20:23:38.2571295Z             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
2025-03-21T20:23:38.2572344Z             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
2025-03-21T20:23:38.2573854Z             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
2025-03-21T20:23:38.2574702Z             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
2025-03-21T20:23:38.2574838Z             
2025-03-21T20:23:38.2576139Z              # 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)
2025-03-21T20:23:38.2577111Z             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
2025-03-21T20:23:38.2577252Z             
2025-03-21T20:23:38.2578258Z              # 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
2025-03-21T20:23:38.2579423Z             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
2025-03-21T20:23:38.2580689Z             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
2025-03-21T20:23:38.2580821Z             
2025-03-21T20:23:38.2581800Z              # 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)
2025-03-21T20:23:38.2582373Z             aten_view_copy_default_584: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_217, [8, 128])
2025-03-21T20:23:38.2583445Z             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
2025-03-21T20:23:38.2584970Z             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
2025-03-21T20:23:38.2585735Z             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
2025-03-21T20:23:38.2585863Z             
2025-03-21T20:23:38.2586920Z              # 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)
2025-03-21T20:23:38.2587625Z             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
2025-03-21T20:23:38.2587753Z             
2025-03-21T20:23:38.2588743Z              # 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)
2025-03-21T20:23:38.2589478Z             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
2025-03-21T20:23:38.2590474Z             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
2025-03-21T20:23:38.2592019Z             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
2025-03-21T20:23:38.2592850Z             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
2025-03-21T20:23:38.2593058Z             
2025-03-21T20:23:38.2594168Z              # 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)
2025-03-21T20:23:38.2595035Z             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
2025-03-21T20:23:38.2595244Z             
2025-03-21T20:23:38.2596241Z              # 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
2025-03-21T20:23:38.2597342Z             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
2025-03-21T20:23:38.2598400Z             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
2025-03-21T20:23:38.2598538Z             
2025-03-21T20:23:38.2599507Z              # 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)
2025-03-21T20:23:38.2600098Z             aten_view_copy_default_588: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_219, [8, 128])
2025-03-21T20:23:38.2601161Z             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
2025-03-21T20:23:38.2602684Z             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
2025-03-21T20:23:38.2603441Z             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
2025-03-21T20:23:38.2603579Z             
2025-03-21T20:23:38.2604626Z              # 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)
2025-03-21T20:23:38.2605337Z             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
2025-03-21T20:23:38.2605464Z             
2025-03-21T20:23:38.2606437Z              # 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)
2025-03-21T20:23:38.2607165Z             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
2025-03-21T20:23:38.2608242Z             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
2025-03-21T20:23:38.2609922Z             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
2025-03-21T20:23:38.2610728Z             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
2025-03-21T20:23:38.2610855Z             
2025-03-21T20:23:38.2611957Z              # 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)
2025-03-21T20:23:38.2612958Z             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
2025-03-21T20:23:38.2613092Z             
2025-03-21T20:23:38.2614100Z              # 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
2025-03-21T20:23:38.2615189Z             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
2025-03-21T20:23:38.2616276Z             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
2025-03-21T20:23:38.2616410Z             
2025-03-21T20:23:38.2617391Z              # 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)
2025-03-21T20:23:38.2617968Z             aten_view_copy_default_592: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_221, [8, 128])
2025-03-21T20:23:38.2619175Z             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
2025-03-21T20:23:38.2620740Z             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
2025-03-21T20:23:38.2621811Z             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
2025-03-21T20:23:38.2633020Z             
2025-03-21T20:23:38.2634206Z              # 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)
2025-03-21T20:23:38.2634917Z             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
2025-03-21T20:23:38.2635044Z             
2025-03-21T20:23:38.2636025Z              # 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)
2025-03-21T20:23:38.2637099Z             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
2025-03-21T20:23:38.2638291Z             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
2025-03-21T20:23:38.2639755Z             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
2025-03-21T20:23:38.2640522Z             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
2025-03-21T20:23:38.2640788Z             
2025-03-21T20:23:38.2641914Z              # 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)
2025-03-21T20:23:38.2642783Z             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
2025-03-21T20:23:38.2642921Z             
2025-03-21T20:23:38.2643914Z              # 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
2025-03-21T20:23:38.2645004Z             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
2025-03-21T20:23:38.2646084Z             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
2025-03-21T20:23:38.2646214Z             
2025-03-21T20:23:38.2647197Z              # 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)
2025-03-21T20:23:38.2647774Z             aten_view_copy_default_596: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_223, [8, 128])
2025-03-21T20:23:38.2648788Z             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
2025-03-21T20:23:38.2650408Z             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
2025-03-21T20:23:38.2651184Z             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
2025-03-21T20:23:38.2651310Z             
2025-03-21T20:23:38.2652369Z              # 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)
2025-03-21T20:23:38.2653186Z             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
2025-03-21T20:23:38.2653332Z             
2025-03-21T20:23:38.2654405Z              # 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)
2025-03-21T20:23:38.2655214Z             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
2025-03-21T20:23:38.2656188Z             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
2025-03-21T20:23:38.2657585Z             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
2025-03-21T20:23:38.2658424Z             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
2025-03-21T20:23:38.2658564Z             
2025-03-21T20:23:38.2659667Z              # 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)
2025-03-21T20:23:38.2660542Z             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
2025-03-21T20:23:38.2660670Z             
2025-03-21T20:23:38.2661673Z              # 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
2025-03-21T20:23:38.2662726Z             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
2025-03-21T20:23:38.2663754Z             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
2025-03-21T20:23:38.2663885Z             
2025-03-21T20:23:38.2664858Z              # 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)
2025-03-21T20:23:38.2665578Z             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
2025-03-21T20:23:38.2666656Z             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
2025-03-21T20:23:38.2668194Z             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
2025-03-21T20:23:38.2668954Z             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
2025-03-21T20:23:38.2669183Z             
2025-03-21T20:23:38.2670174Z              # 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)
2025-03-21T20:23:38.2670955Z             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
2025-03-21T20:23:38.2671094Z             
2025-03-21T20:23:38.2672256Z              # 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)
2025-03-21T20:23:38.2673107Z             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
2025-03-21T20:23:38.2673245Z             
2025-03-21T20:23:38.2674257Z              # 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
2025-03-21T20:23:38.2675537Z             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
2025-03-21T20:23:38.2676682Z             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
2025-03-21T20:23:38.2676819Z             
2025-03-21T20:23:38.2677793Z              # 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)
2025-03-21T20:23:38.2678382Z             aten_view_copy_default_602: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:23:38.2679435Z             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
2025-03-21T20:23:38.2680959Z             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
2025-03-21T20:23:38.2681719Z             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
2025-03-21T20:23:38.2681863Z             
2025-03-21T20:23:38.2682857Z              # 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
2025-03-21T20:23:38.2684106Z             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
2025-03-21T20:23:38.2685231Z             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
2025-03-21T20:23:38.2685367Z             
2025-03-21T20:23:38.2686325Z              # 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)
2025-03-21T20:23:38.2686999Z             aten_view_copy_default_604: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:23:38.2688163Z             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
2025-03-21T20:23:38.2689976Z             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
2025-03-21T20:23:38.2690773Z             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
2025-03-21T20:23:38.2690991Z             
2025-03-21T20:23:38.2692011Z              # 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
2025-03-21T20:23:38.2693297Z             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
2025-03-21T20:23:38.2694459Z             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
2025-03-21T20:23:38.2694594Z             
2025-03-21T20:23:38.2695581Z              # 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)
2025-03-21T20:23:38.2696155Z             aten_view_copy_default_606: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_229, [8, 128])
2025-03-21T20:23:38.2697185Z             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
2025-03-21T20:23:38.2698659Z             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
2025-03-21T20:23:38.2699425Z             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
2025-03-21T20:23:38.2699555Z             
2025-03-21T20:23:38.2700516Z              # 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)
2025-03-21T20:23:38.2701229Z             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
2025-03-21T20:23:38.2702228Z             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
2025-03-21T20:23:38.2703673Z             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
2025-03-21T20:23:38.2704663Z             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
2025-03-21T20:23:38.2704806Z             
2025-03-21T20:23:38.2705859Z              # 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)
2025-03-21T20:23:38.2706463Z             aten_view_copy_default_610: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:23:38.2707500Z             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
2025-03-21T20:23:38.2709088Z             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
2025-03-21T20:23:38.2709858Z             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
2025-03-21T20:23:38.2709991Z             
2025-03-21T20:23:38.2710951Z              # 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)
2025-03-21T20:23:38.2711752Z             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
2025-03-21T20:23:38.2711891Z             
2025-03-21T20:23:38.2712866Z              # 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)
2025-03-21T20:23:38.2713715Z             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
2025-03-21T20:23:38.2713845Z             
2025-03-21T20:23:38.2714789Z              # 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)
2025-03-21T20:23:38.2715593Z             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
2025-03-21T20:23:38.2715730Z             
2025-03-21T20:23:38.2716711Z              # 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)
2025-03-21T20:23:38.2717550Z             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
2025-03-21T20:23:38.2717689Z             
2025-03-21T20:23:38.2718632Z              # 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)
2025-03-21T20:23:38.2719431Z             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
2025-03-21T20:23:38.2719662Z             
2025-03-21T20:23:38.2720642Z              # 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)
2025-03-21T20:23:38.2721570Z             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
2025-03-21T20:23:38.2721727Z             
2025-03-21T20:23:38.2722898Z              # 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))
2025-03-21T20:23:38.2723779Z             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
2025-03-21T20:23:38.2724737Z             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
2025-03-21T20:23:38.2725547Z             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
2025-03-21T20:23:38.2726402Z             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
2025-03-21T20:23:38.2727206Z             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
2025-03-21T20:23:38.2728153Z             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
2025-03-21T20:23:38.2728891Z             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
2025-03-21T20:23:38.2729023Z             
2025-03-21T20:23:38.2730592Z              # 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)
2025-03-21T20:23:38.2731540Z             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
2025-03-21T20:23:38.2731673Z             
2025-03-21T20:23:38.2732716Z              # 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
2025-03-21T20:23:38.2733388Z             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
2025-03-21T20:23:38.2733525Z             
2025-03-21T20:23:38.2734635Z              # 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)
2025-03-21T20:23:38.2735352Z             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
2025-03-21T20:23:38.2735478Z             
2025-03-21T20:23:38.2736741Z              # 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)
2025-03-21T20:23:38.2737534Z             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
2025-03-21T20:23:38.2737679Z             
2025-03-21T20:23:38.2738849Z              # 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)
2025-03-21T20:23:38.2739641Z             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
2025-03-21T20:23:38.2740447Z             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
2025-03-21T20:23:38.2741494Z             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
2025-03-21T20:23:38.2742303Z             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
2025-03-21T20:23:38.2743248Z             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
2025-03-21T20:23:38.2743986Z             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
2025-03-21T20:23:38.2744122Z             
2025-03-21T20:23:38.2745214Z              # 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()
2025-03-21T20:23:38.2746050Z             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
2025-03-21T20:23:38.2747017Z             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
2025-03-21T20:23:38.2747144Z             
2025-03-21T20:23:38.2748213Z              # 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)
2025-03-21T20:23:38.2748971Z             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
2025-03-21T20:23:38.2749109Z             
2025-03-21T20:23:38.2750087Z              # 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)
2025-03-21T20:23:38.2750882Z             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
2025-03-21T20:23:38.2751925Z             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
2025-03-21T20:23:38.2753438Z             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
2025-03-21T20:23:38.2754388Z             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
2025-03-21T20:23:38.2754541Z             
2025-03-21T20:23:38.2755734Z              # 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)
2025-03-21T20:23:38.2756636Z             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
2025-03-21T20:23:38.2756875Z             
2025-03-21T20:23:38.2757888Z              # 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
2025-03-21T20:23:38.2759061Z             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
2025-03-21T20:23:38.2760187Z             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
2025-03-21T20:23:38.2760325Z             
2025-03-21T20:23:38.2761296Z              # 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)
2025-03-21T20:23:38.2761889Z             aten_view_copy_default_624: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_232, [8, 128])
2025-03-21T20:23:38.2762960Z             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
2025-03-21T20:23:38.2764496Z             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
2025-03-21T20:23:38.2765258Z             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
2025-03-21T20:23:38.2765402Z             
2025-03-21T20:23:38.2766458Z              # 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)
2025-03-21T20:23:38.2767168Z             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
2025-03-21T20:23:38.2767298Z             
2025-03-21T20:23:38.2768282Z              # 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)
2025-03-21T20:23:38.2769012Z             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
2025-03-21T20:23:38.2770260Z             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
2025-03-21T20:23:38.2771838Z             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
2025-03-21T20:23:38.2772645Z             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
2025-03-21T20:23:38.2772781Z             
2025-03-21T20:23:38.2773894Z              # 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)
2025-03-21T20:23:38.2774839Z             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
2025-03-21T20:23:38.2774981Z             
2025-03-21T20:23:38.2775974Z              # 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
2025-03-21T20:23:38.2777072Z             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
2025-03-21T20:23:38.2778134Z             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
2025-03-21T20:23:38.2778276Z             
2025-03-21T20:23:38.2779247Z              # 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)
2025-03-21T20:23:38.2779827Z             aten_view_copy_default_628: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_234, [8, 128])
2025-03-21T20:23:38.2780898Z             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
2025-03-21T20:23:38.2782417Z             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
2025-03-21T20:23:38.2783190Z             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
2025-03-21T20:23:38.2783320Z             
2025-03-21T20:23:38.2784378Z              # 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)
2025-03-21T20:23:38.2785074Z             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
2025-03-21T20:23:38.2785210Z             
2025-03-21T20:23:38.2786179Z              # 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)
2025-03-21T20:23:38.2787027Z             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
2025-03-21T20:23:38.2788150Z             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
2025-03-21T20:23:38.2789631Z             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
2025-03-21T20:23:38.2790391Z             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
2025-03-21T20:23:38.2790602Z             
2025-03-21T20:23:38.2791719Z              # 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)
2025-03-21T20:23:38.2792605Z             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
2025-03-21T20:23:38.2792742Z             
2025-03-21T20:23:38.2793745Z              # 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
2025-03-21T20:23:38.2794831Z             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
2025-03-21T20:23:38.2795910Z             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
2025-03-21T20:23:38.2796037Z             
2025-03-21T20:23:38.2797013Z              # 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)
2025-03-21T20:23:38.2797587Z             aten_view_copy_default_632: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_236, [8, 128])
2025-03-21T20:23:38.2798644Z             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
2025-03-21T20:23:38.2800174Z             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
2025-03-21T20:23:38.2800942Z             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
2025-03-21T20:23:38.2801067Z             
2025-03-21T20:23:38.2802117Z              # 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)
2025-03-21T20:23:38.2802928Z             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
2025-03-21T20:23:38.2803061Z             
2025-03-21T20:23:38.2804098Z              # 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)
2025-03-21T20:23:38.2804943Z             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
2025-03-21T20:23:38.2805965Z             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
2025-03-21T20:23:38.2807401Z             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
2025-03-21T20:23:38.2808247Z             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
2025-03-21T20:23:38.2808376Z             
2025-03-21T20:23:38.2809586Z              # 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)
2025-03-21T20:23:38.2810460Z             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
2025-03-21T20:23:38.2810597Z             
2025-03-21T20:23:38.2811594Z              # 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
2025-03-21T20:23:38.2812692Z             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
2025-03-21T20:23:38.2813755Z             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
2025-03-21T20:23:38.2813892Z             
2025-03-21T20:23:38.2814864Z              # 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)
2025-03-21T20:23:38.2815452Z             aten_view_copy_default_636: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_238, [8, 128])
2025-03-21T20:23:38.2816461Z             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
2025-03-21T20:23:38.2817945Z             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
2025-03-21T20:23:38.2818703Z             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
2025-03-21T20:23:38.2818956Z             
2025-03-21T20:23:38.2820015Z              # 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)
2025-03-21T20:23:38.2820770Z             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
2025-03-21T20:23:38.2820927Z             
2025-03-21T20:23:38.2822011Z              # 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)
2025-03-21T20:23:38.2822770Z             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
2025-03-21T20:23:38.2823717Z             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
2025-03-21T20:23:38.2825229Z             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
2025-03-21T20:23:38.2825993Z             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
2025-03-21T20:23:38.2826129Z             
2025-03-21T20:23:38.2827230Z              # 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)
2025-03-21T20:23:38.2828109Z             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
2025-03-21T20:23:38.2828245Z             
2025-03-21T20:23:38.2829581Z              # 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
2025-03-21T20:23:38.2830650Z             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
2025-03-21T20:23:38.2831670Z             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
2025-03-21T20:23:38.2831804Z             
2025-03-21T20:23:38.2832792Z              # 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)
2025-03-21T20:23:38.2833507Z             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
2025-03-21T20:23:38.2834580Z             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
2025-03-21T20:23:38.2836115Z             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
2025-03-21T20:23:38.2837162Z             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
2025-03-21T20:23:38.2837290Z             
2025-03-21T20:23:38.2838382Z              # 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)
2025-03-21T20:23:38.2839264Z             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
2025-03-21T20:23:38.2839404Z             
2025-03-21T20:23:38.2840504Z              # 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)
2025-03-21T20:23:38.2841472Z             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
2025-03-21T20:23:38.2841612Z             
2025-03-21T20:23:38.2842610Z              # 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
2025-03-21T20:23:38.2843791Z             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
2025-03-21T20:23:38.2844933Z             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
2025-03-21T20:23:38.2845076Z             
2025-03-21T20:23:38.2846035Z              # 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)
2025-03-21T20:23:38.2846623Z             aten_view_copy_default_642: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:23:38.2847676Z             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
2025-03-21T20:23:38.2849208Z             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
2025-03-21T20:23:38.2850076Z             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
2025-03-21T20:23:38.2850216Z             
2025-03-21T20:23:38.2851224Z              # 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
2025-03-21T20:23:38.2852466Z             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
2025-03-21T20:23:38.2853587Z             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
2025-03-21T20:23:38.2853870Z             
2025-03-21T20:23:38.2854897Z              # 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)
2025-03-21T20:23:38.2855582Z             aten_view_copy_default_644: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:23:38.2856696Z             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
2025-03-21T20:23:38.2858268Z             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
2025-03-21T20:23:38.2859146Z             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
2025-03-21T20:23:38.2859282Z             
2025-03-21T20:23:38.2860279Z              # 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
2025-03-21T20:23:38.2861564Z             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
2025-03-21T20:23:38.2862739Z             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
2025-03-21T20:23:38.2862875Z             
2025-03-21T20:23:38.2863862Z              # 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)
2025-03-21T20:23:38.2864442Z             aten_view_copy_default_646: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_244, [8, 128])
2025-03-21T20:23:38.2865467Z             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
2025-03-21T20:23:38.2866953Z             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
2025-03-21T20:23:38.2867728Z             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
2025-03-21T20:23:38.2867856Z             
2025-03-21T20:23:38.2868824Z              # 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)
2025-03-21T20:23:38.2869534Z             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
2025-03-21T20:23:38.2870661Z             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
2025-03-21T20:23:38.2872183Z             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
2025-03-21T20:23:38.2873027Z             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
2025-03-21T20:23:38.2873175Z             
2025-03-21T20:23:38.2874190Z              # 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)
2025-03-21T20:23:38.2874882Z             aten_view_copy_default_650: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:23:38.2875911Z             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
2025-03-21T20:23:38.2877391Z             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
2025-03-21T20:23:38.2878150Z             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
2025-03-21T20:23:38.2878284Z             
2025-03-21T20:23:38.2879243Z              # 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)
2025-03-21T20:23:38.2880038Z             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
2025-03-21T20:23:38.2880172Z             
2025-03-21T20:23:38.2881147Z              # 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)
2025-03-21T20:23:38.2881988Z             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
2025-03-21T20:23:38.2882117Z             
2025-03-21T20:23:38.2883070Z              # 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)
2025-03-21T20:23:38.2883864Z             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
2025-03-21T20:23:38.2883990Z             
2025-03-21T20:23:38.2884964Z              # 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)
2025-03-21T20:23:38.2885799Z             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
2025-03-21T20:23:38.2885936Z             
2025-03-21T20:23:38.2886971Z              # 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)
2025-03-21T20:23:38.2887836Z             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
2025-03-21T20:23:38.2887978Z             
2025-03-21T20:23:38.2889069Z              # 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)
2025-03-21T20:23:38.2890033Z             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
2025-03-21T20:23:38.2890175Z             
2025-03-21T20:23:38.2891332Z              # 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))
2025-03-21T20:23:38.2892291Z             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
2025-03-21T20:23:38.2893138Z             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
2025-03-21T20:23:38.2893943Z             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
2025-03-21T20:23:38.2894783Z             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
2025-03-21T20:23:38.2895608Z             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
2025-03-21T20:23:38.2896543Z             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
2025-03-21T20:23:38.2897278Z             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
2025-03-21T20:23:38.2897406Z             
2025-03-21T20:23:38.2898551Z              # 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)
2025-03-21T20:23:38.2899497Z             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
2025-03-21T20:23:38.2899622Z             
2025-03-21T20:23:38.2900662Z              # 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
2025-03-21T20:23:38.2901332Z             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
2025-03-21T20:23:38.2901463Z             
2025-03-21T20:23:38.2902594Z              # 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)
2025-03-21T20:23:38.2903398Z             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
2025-03-21T20:23:38.2903532Z             
2025-03-21T20:23:38.2904628Z              # 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)
2025-03-21T20:23:38.2905417Z             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
2025-03-21T20:23:38.2905562Z             
2025-03-21T20:23:38.2906623Z              # 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)
2025-03-21T20:23:38.2907401Z             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
2025-03-21T20:23:38.2908299Z             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
2025-03-21T20:23:38.2909157Z             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
2025-03-21T20:23:38.2909955Z             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
2025-03-21T20:23:38.2910898Z             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
2025-03-21T20:23:38.2911637Z             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
2025-03-21T20:23:38.2911774Z             
2025-03-21T20:23:38.2912860Z              # 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()
2025-03-21T20:23:38.2913703Z             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
2025-03-21T20:23:38.2914659Z             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
2025-03-21T20:23:38.2914799Z             
2025-03-21T20:23:38.2915866Z              # 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)
2025-03-21T20:23:38.2916628Z             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
2025-03-21T20:23:38.2916759Z             
2025-03-21T20:23:38.2917741Z              # 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)
2025-03-21T20:23:38.2918523Z             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
2025-03-21T20:23:38.2919683Z             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
2025-03-21T20:23:38.2921291Z             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
2025-03-21T20:23:38.2922063Z             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
2025-03-21T20:23:38.2922189Z             
2025-03-21T20:23:38.2923286Z              # 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)
2025-03-21T20:23:38.2924268Z             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
2025-03-21T20:23:38.2924400Z             
2025-03-21T20:23:38.2925403Z              # 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
2025-03-21T20:23:38.2926553Z             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
2025-03-21T20:23:38.2927676Z             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
2025-03-21T20:23:38.2927809Z             
2025-03-21T20:23:38.2928784Z              # 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)
2025-03-21T20:23:38.2929762Z             aten_view_copy_default_664: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_247, [8, 128])
2025-03-21T20:23:38.2930848Z             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
2025-03-21T20:23:38.2932365Z             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
2025-03-21T20:23:38.2933141Z             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
2025-03-21T20:23:38.2933264Z             
2025-03-21T20:23:38.2934321Z              # 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)
2025-03-21T20:23:38.2935017Z             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
2025-03-21T20:23:38.2935148Z             
2025-03-21T20:23:38.2936113Z              # 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)
2025-03-21T20:23:38.2937094Z             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
2025-03-21T20:23:38.2938334Z             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
2025-03-21T20:23:38.2939813Z             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
2025-03-21T20:23:38.2940578Z             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
2025-03-21T20:23:38.2940836Z             
2025-03-21T20:23:38.2941955Z              # 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)
2025-03-21T20:23:38.2942830Z             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
2025-03-21T20:23:38.2942956Z             
2025-03-21T20:23:38.2943958Z              # 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
2025-03-21T20:23:38.2945050Z             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
2025-03-21T20:23:38.2946125Z             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
2025-03-21T20:23:38.2946253Z             
2025-03-21T20:23:38.2947226Z              # 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)
2025-03-21T20:23:38.2947807Z             aten_view_copy_default_668: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_249, [8, 128])
2025-03-21T20:23:38.2948869Z             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
2025-03-21T20:23:38.2950399Z             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
2025-03-21T20:23:38.2951157Z             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
2025-03-21T20:23:38.2951292Z             
2025-03-21T20:23:38.2952335Z              # 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)
2025-03-21T20:23:38.2953122Z             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
2025-03-21T20:23:38.2953250Z             
2025-03-21T20:23:38.2954278Z              # 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)
2025-03-21T20:23:38.2955077Z             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
2025-03-21T20:23:38.2956090Z             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
2025-03-21T20:23:38.2957514Z             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
2025-03-21T20:23:38.2958373Z             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
2025-03-21T20:23:38.2958501Z             
2025-03-21T20:23:38.2959600Z              # 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)
2025-03-21T20:23:38.2960467Z             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
2025-03-21T20:23:38.2960602Z             
2025-03-21T20:23:38.2961602Z              # 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
2025-03-21T20:23:38.2962711Z             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
2025-03-21T20:23:38.2963774Z             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
2025-03-21T20:23:38.2963913Z             
2025-03-21T20:23:38.2964881Z              # 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)
2025-03-21T20:23:38.2965463Z             aten_view_copy_default_672: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_251, [8, 128])
2025-03-21T20:23:38.2966536Z             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
2025-03-21T20:23:38.2968061Z             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
2025-03-21T20:23:38.2968820Z             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
2025-03-21T20:23:38.2969060Z             
2025-03-21T20:23:38.2970239Z              # 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)
2025-03-21T20:23:38.2971020Z             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
2025-03-21T20:23:38.2971163Z             
2025-03-21T20:23:38.2972196Z              # 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)
2025-03-21T20:23:38.2972955Z             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
2025-03-21T20:23:38.2973962Z             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
2025-03-21T20:23:38.2975508Z             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
2025-03-21T20:23:38.2976280Z             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
2025-03-21T20:23:38.2976421Z             
2025-03-21T20:23:38.2977530Z              # 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)
2025-03-21T20:23:38.2978416Z             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
2025-03-21T20:23:38.2978547Z             
2025-03-21T20:23:38.2979552Z              # 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
2025-03-21T20:23:38.2980652Z             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
2025-03-21T20:23:38.2981729Z             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
2025-03-21T20:23:38.2981865Z             
2025-03-21T20:23:38.2982848Z              # 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)
2025-03-21T20:23:38.2983432Z             aten_view_copy_default_676: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_253, [8, 128])
2025-03-21T20:23:38.2984456Z             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
2025-03-21T20:23:38.2985937Z             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
2025-03-21T20:23:38.2986806Z             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
2025-03-21T20:23:38.2986936Z             
2025-03-21T20:23:38.2988078Z              # 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)
2025-03-21T20:23:38.2988817Z             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
2025-03-21T20:23:38.2988949Z             
2025-03-21T20:23:38.2989967Z              # 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)
2025-03-21T20:23:38.2990765Z             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
2025-03-21T20:23:38.2991725Z             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
2025-03-21T20:23:38.2993118Z             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
2025-03-21T20:23:38.2993886Z             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
2025-03-21T20:23:38.2994022Z             
2025-03-21T20:23:38.2995119Z              # 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)
2025-03-21T20:23:38.2995987Z             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
2025-03-21T20:23:38.2996122Z             
2025-03-21T20:23:38.2997118Z              # 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
2025-03-21T20:23:38.2998171Z             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
2025-03-21T20:23:38.2999188Z             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
2025-03-21T20:23:38.2999329Z             
2025-03-21T20:23:38.3000304Z              # 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)
2025-03-21T20:23:38.3001028Z             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
2025-03-21T20:23:38.3002109Z             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
2025-03-21T20:23:38.3003834Z             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
2025-03-21T20:23:38.3004723Z             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
2025-03-21T20:23:38.3004871Z             
2025-03-21T20:23:38.3005861Z              # 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)
2025-03-21T20:23:38.3006585Z             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
2025-03-21T20:23:38.3006816Z             
2025-03-21T20:23:38.3007905Z              # 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)
2025-03-21T20:23:38.3008734Z             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
2025-03-21T20:23:38.3008866Z             
2025-03-21T20:23:38.3009977Z              # 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
2025-03-21T20:23:38.3011147Z             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
2025-03-21T20:23:38.3012300Z             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
2025-03-21T20:23:38.3012428Z             
2025-03-21T20:23:38.3013393Z              # 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)
2025-03-21T20:23:38.3013966Z             aten_view_copy_default_682: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:23:38.3015017Z             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
2025-03-21T20:23:38.3016531Z             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
2025-03-21T20:23:38.3017297Z             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
2025-03-21T20:23:38.3017423Z             
2025-03-21T20:23:38.3018421Z              # 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
2025-03-21T20:23:38.3019646Z             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
2025-03-21T20:23:38.3020933Z             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
2025-03-21T20:23:38.3021071Z             
2025-03-21T20:23:38.3022098Z              # 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)
2025-03-21T20:23:38.3022707Z             aten_view_copy_default_684: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:23:38.3023818Z             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
2025-03-21T20:23:38.3025473Z             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
2025-03-21T20:23:38.3026250Z             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
2025-03-21T20:23:38.3026378Z             
2025-03-21T20:23:38.3027384Z              # 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
2025-03-21T20:23:38.3028662Z             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
2025-03-21T20:23:38.3030215Z             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
2025-03-21T20:23:38.3030350Z             
2025-03-21T20:23:38.3031339Z              # 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)
2025-03-21T20:23:38.3031920Z             aten_view_copy_default_686: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_259, [8, 128])
2025-03-21T20:23:38.3032944Z             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
2025-03-21T20:23:38.3034430Z             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
2025-03-21T20:23:38.3035193Z             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
2025-03-21T20:23:38.3035317Z             
2025-03-21T20:23:38.3036266Z              # 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)
2025-03-21T20:23:38.3037209Z             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
2025-03-21T20:23:38.3038379Z             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
2025-03-21T20:23:38.3039976Z             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
2025-03-21T20:23:38.3040770Z             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
2025-03-21T20:23:38.3041061Z             
2025-03-21T20:23:38.3042066Z              # 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)
2025-03-21T20:23:38.3042657Z             aten_view_copy_default_690: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:23:38.3043683Z             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
2025-03-21T20:23:38.3045172Z             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
2025-03-21T20:23:38.3045941Z             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
2025-03-21T20:23:38.3046075Z             
2025-03-21T20:23:38.3047030Z              # 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)
2025-03-21T20:23:38.3047839Z             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
2025-03-21T20:23:38.3047967Z             
2025-03-21T20:23:38.3048945Z              # 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)
2025-03-21T20:23:38.3049912Z             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
2025-03-21T20:23:38.3050053Z             
2025-03-21T20:23:38.3051007Z              # 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)
2025-03-21T20:23:38.3051820Z             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
2025-03-21T20:23:38.3051960Z             
2025-03-21T20:23:38.3052929Z              # 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)
2025-03-21T20:23:38.3053869Z             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
2025-03-21T20:23:38.3053995Z             
2025-03-21T20:23:38.3055008Z              # 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)
2025-03-21T20:23:38.3055890Z             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
2025-03-21T20:23:38.3056048Z             
2025-03-21T20:23:38.3057037Z              # 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)
2025-03-21T20:23:38.3057881Z             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
2025-03-21T20:23:38.3058082Z             
2025-03-21T20:23:38.3059253Z              # 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))
2025-03-21T20:23:38.3060128Z             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
2025-03-21T20:23:38.3060985Z             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
2025-03-21T20:23:38.3061781Z             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
2025-03-21T20:23:38.3062647Z             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
2025-03-21T20:23:38.3063448Z             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
2025-03-21T20:23:38.3064390Z             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
2025-03-21T20:23:38.3065115Z             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
2025-03-21T20:23:38.3065250Z             
2025-03-21T20:23:38.3066410Z              # 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)
2025-03-21T20:23:38.3067346Z             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
2025-03-21T20:23:38.3067483Z             
2025-03-21T20:23:38.3068513Z              # 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
2025-03-21T20:23:38.3069199Z             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
2025-03-21T20:23:38.3069438Z             
2025-03-21T20:23:38.3070553Z              # 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)
2025-03-21T20:23:38.3071325Z             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
2025-03-21T20:23:38.3071526Z             
2025-03-21T20:23:38.3072570Z              # 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)
2025-03-21T20:23:38.3073265Z             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
2025-03-21T20:23:38.3073408Z             
2025-03-21T20:23:38.3074573Z              # 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)
2025-03-21T20:23:38.3075363Z             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
2025-03-21T20:23:38.3076156Z             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
2025-03-21T20:23:38.3077012Z             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
2025-03-21T20:23:38.3077804Z             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
2025-03-21T20:23:38.3078756Z             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
2025-03-21T20:23:38.3079484Z             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
2025-03-21T20:23:38.3079614Z             
2025-03-21T20:23:38.3080695Z              # 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()
2025-03-21T20:23:38.3081533Z             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
2025-03-21T20:23:38.3082496Z             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
2025-03-21T20:23:38.3082628Z             
2025-03-21T20:23:38.3083694Z              # 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)
2025-03-21T20:23:38.3084453Z             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
2025-03-21T20:23:38.3084580Z             
2025-03-21T20:23:38.3085556Z              # 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)
2025-03-21T20:23:38.3086420Z             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
2025-03-21T20:23:38.3087551Z             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
2025-03-21T20:23:38.3089137Z             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
2025-03-21T20:23:38.3090026Z             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
2025-03-21T20:23:38.3090246Z             
2025-03-21T20:23:38.3091362Z              # 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)
2025-03-21T20:23:38.3092233Z             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
2025-03-21T20:23:38.3092370Z             
2025-03-21T20:23:38.3093362Z              # 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
2025-03-21T20:23:38.3094517Z             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
2025-03-21T20:23:38.3095653Z             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
2025-03-21T20:23:38.3095779Z             
2025-03-21T20:23:38.3096760Z              # 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)
2025-03-21T20:23:38.3097340Z             aten_view_copy_default_704: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_262, [8, 128])
2025-03-21T20:23:38.3098412Z             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
2025-03-21T20:23:38.3099940Z             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
2025-03-21T20:23:38.3100711Z             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
2025-03-21T20:23:38.3100836Z             
2025-03-21T20:23:38.3101893Z              # 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)
2025-03-21T20:23:38.3102668Z             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
2025-03-21T20:23:38.3102808Z             
2025-03-21T20:23:38.3103918Z              # 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)
2025-03-21T20:23:38.3104722Z             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
2025-03-21T20:23:38.3105724Z             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
2025-03-21T20:23:38.3107161Z             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
2025-03-21T20:23:38.3108001Z             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
2025-03-21T20:23:38.3108142Z             
2025-03-21T20:23:38.3109239Z              # 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)
2025-03-21T20:23:38.3110111Z             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
2025-03-21T20:23:38.3110237Z             
2025-03-21T20:23:38.3111238Z              # 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
2025-03-21T20:23:38.3112332Z             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
2025-03-21T20:23:38.3113402Z             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
2025-03-21T20:23:38.3113529Z             
2025-03-21T20:23:38.3114505Z              # 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)
2025-03-21T20:23:38.3115092Z             aten_view_copy_default_708: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_264, [8, 128])
2025-03-21T20:23:38.3116157Z             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
2025-03-21T20:23:38.3117692Z             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
2025-03-21T20:23:38.3118450Z             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
2025-03-21T20:23:38.3118705Z             
2025-03-21T20:23:38.3119760Z              # 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)
2025-03-21T20:23:38.3120523Z             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
2025-03-21T20:23:38.3120661Z             
2025-03-21T20:23:38.3121735Z              # 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)
2025-03-21T20:23:38.3122506Z             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
2025-03-21T20:23:38.3123549Z             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
2025-03-21T20:23:38.3125110Z             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
2025-03-21T20:23:38.3125885Z             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
2025-03-21T20:23:38.3126010Z             
2025-03-21T20:23:38.3127112Z              # 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)
2025-03-21T20:23:38.3127983Z             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
2025-03-21T20:23:38.3128114Z             
2025-03-21T20:23:38.3129110Z              # 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
2025-03-21T20:23:38.3130626Z             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
2025-03-21T20:23:38.3131694Z             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
2025-03-21T20:23:38.3131834Z             
2025-03-21T20:23:38.3132810Z              # 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)
2025-03-21T20:23:38.3133393Z             aten_view_copy_default_712: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_266, [8, 128])
2025-03-21T20:23:38.3134467Z             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
2025-03-21T20:23:38.3136004Z             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
2025-03-21T20:23:38.3137034Z             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
2025-03-21T20:23:38.3137164Z             
2025-03-21T20:23:38.3138433Z              # 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)
2025-03-21T20:23:38.3139161Z             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
2025-03-21T20:23:38.3139300Z             
2025-03-21T20:23:38.3140277Z              # 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)
2025-03-21T20:23:38.3141144Z             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
2025-03-21T20:23:38.3142141Z             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
2025-03-21T20:23:38.3143585Z             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
2025-03-21T20:23:38.3144347Z             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
2025-03-21T20:23:38.3144489Z             
2025-03-21T20:23:38.3145582Z              # 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)
2025-03-21T20:23:38.3146457Z             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
2025-03-21T20:23:38.3146588Z             
2025-03-21T20:23:38.3147588Z              # 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
2025-03-21T20:23:38.3148679Z             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
2025-03-21T20:23:38.3149752Z             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
2025-03-21T20:23:38.3149885Z             
2025-03-21T20:23:38.3150864Z              # 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)
2025-03-21T20:23:38.3151439Z             aten_view_copy_default_716: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_268, [8, 128])
2025-03-21T20:23:38.3152455Z             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
2025-03-21T20:23:38.3154124Z             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
2025-03-21T20:23:38.3155013Z             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
2025-03-21T20:23:38.3155159Z             
2025-03-21T20:23:38.3156217Z              # 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)
2025-03-21T20:23:38.3156926Z             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
2025-03-21T20:23:38.3157143Z             
2025-03-21T20:23:38.3158164Z              # 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)
2025-03-21T20:23:38.3158897Z             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
2025-03-21T20:23:38.3159852Z             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
2025-03-21T20:23:38.3161248Z             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
2025-03-21T20:23:38.3162025Z             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
2025-03-21T20:23:38.3162157Z             
2025-03-21T20:23:38.3163266Z              # 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)
2025-03-21T20:23:38.3164137Z             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
2025-03-21T20:23:38.3164274Z             
2025-03-21T20:23:38.3165272Z              # 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
2025-03-21T20:23:38.3166330Z             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
2025-03-21T20:23:38.3167347Z             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
2025-03-21T20:23:38.3167484Z             
2025-03-21T20:23:38.3168458Z              # 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)
2025-03-21T20:23:38.3169181Z             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
2025-03-21T20:23:38.3170433Z             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
2025-03-21T20:23:38.3172056Z             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
2025-03-21T20:23:38.3172830Z             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
2025-03-21T20:23:38.3172962Z             
2025-03-21T20:23:38.3173947Z              # 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)
2025-03-21T20:23:38.3174769Z             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
2025-03-21T20:23:38.3174900Z             
2025-03-21T20:23:38.3175997Z              # 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)
2025-03-21T20:23:38.3176824Z             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
2025-03-21T20:23:38.3176949Z             
2025-03-21T20:23:38.3177945Z              # 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
2025-03-21T20:23:38.3179117Z             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
2025-03-21T20:23:38.3180287Z             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
2025-03-21T20:23:38.3180411Z             
2025-03-21T20:23:38.3181375Z              # 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)
2025-03-21T20:23:38.3181952Z             aten_view_copy_default_722: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:23:38.3183012Z             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
2025-03-21T20:23:38.3184528Z             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
2025-03-21T20:23:38.3185292Z             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
2025-03-21T20:23:38.3185417Z             
2025-03-21T20:23:38.3186420Z              # 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
2025-03-21T20:23:38.3187803Z             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
2025-03-21T20:23:38.3189070Z             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
2025-03-21T20:23:38.3189218Z             
2025-03-21T20:23:38.3190188Z              # 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)
2025-03-21T20:23:38.3190843Z             aten_view_copy_default_724: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:23:38.3191950Z             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
2025-03-21T20:23:38.3193507Z             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
2025-03-21T20:23:38.3194269Z             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
2025-03-21T20:23:38.3194400Z             
2025-03-21T20:23:38.3195402Z              # 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
2025-03-21T20:23:38.3196682Z             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
2025-03-21T20:23:38.3197858Z             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
2025-03-21T20:23:38.3197984Z             
2025-03-21T20:23:38.3198975Z              # 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)
2025-03-21T20:23:38.3199556Z             aten_view_copy_default_726: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_274, [8, 128])
2025-03-21T20:23:38.3200575Z             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
2025-03-21T20:23:38.3202062Z             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
2025-03-21T20:23:38.3202824Z             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
2025-03-21T20:23:38.3203060Z             
2025-03-21T20:23:38.3204020Z              # 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)
2025-03-21T20:23:38.3204840Z             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
2025-03-21T20:23:38.3205850Z             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
2025-03-21T20:23:38.3207310Z             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
2025-03-21T20:23:38.3208176Z             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
2025-03-21T20:23:38.3208310Z             
2025-03-21T20:23:38.3209408Z              # 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)
2025-03-21T20:23:38.3209998Z             aten_view_copy_default_730: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:23:38.3211012Z             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
2025-03-21T20:23:38.3212524Z             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
2025-03-21T20:23:38.3213319Z             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
2025-03-21T20:23:38.3213469Z             
2025-03-21T20:23:38.3214431Z              # 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)
2025-03-21T20:23:38.3215266Z             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
2025-03-21T20:23:38.3215422Z             
2025-03-21T20:23:38.3216411Z              # 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)
2025-03-21T20:23:38.3217266Z             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
2025-03-21T20:23:38.3217399Z             
2025-03-21T20:23:38.3218339Z              # 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)
2025-03-21T20:23:38.3219139Z             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
2025-03-21T20:23:38.3219382Z             
2025-03-21T20:23:38.3220353Z              # 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)
2025-03-21T20:23:38.3221254Z             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
2025-03-21T20:23:38.3221463Z             
2025-03-21T20:23:38.3222438Z              # 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)
2025-03-21T20:23:38.3223231Z             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
2025-03-21T20:23:38.3223440Z             
2025-03-21T20:23:38.3224417Z              # 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)
2025-03-21T20:23:38.3225266Z             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
2025-03-21T20:23:38.3225391Z             
2025-03-21T20:23:38.3226551Z              # 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))
2025-03-21T20:23:38.3227419Z             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
2025-03-21T20:23:38.3228273Z             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
2025-03-21T20:23:38.3229074Z             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
2025-03-21T20:23:38.3230269Z             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
2025-03-21T20:23:38.3231074Z             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
2025-03-21T20:23:38.3232014Z             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
2025-03-21T20:23:38.3232744Z             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
2025-03-21T20:23:38.3232881Z             
2025-03-21T20:23:38.3234032Z              # 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)
2025-03-21T20:23:38.3234960Z             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
2025-03-21T20:23:38.3235093Z             
2025-03-21T20:23:38.3236117Z              # 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
2025-03-21T20:23:38.3237027Z             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
2025-03-21T20:23:38.3237260Z             
2025-03-21T20:23:38.3238534Z              # 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)
2025-03-21T20:23:38.3239265Z             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
2025-03-21T20:23:38.3239396Z             
2025-03-21T20:23:38.3240409Z              # 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)
2025-03-21T20:23:38.3241243Z             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
2025-03-21T20:23:38.3241372Z             
2025-03-21T20:23:38.3242433Z              # 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)
2025-03-21T20:23:38.3243210Z             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
2025-03-21T20:23:38.3244000Z             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
2025-03-21T20:23:38.3244850Z             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
2025-03-21T20:23:38.3245651Z             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
2025-03-21T20:23:38.3246598Z             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
2025-03-21T20:23:38.3247326Z             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
2025-03-21T20:23:38.3247463Z             
2025-03-21T20:23:38.3248540Z              # 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()
2025-03-21T20:23:38.3249490Z             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
2025-03-21T20:23:38.3250471Z             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
2025-03-21T20:23:38.3250614Z             
2025-03-21T20:23:38.3251684Z              # 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)
2025-03-21T20:23:38.3252449Z             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
2025-03-21T20:23:38.3252677Z             
2025-03-21T20:23:38.3253753Z              # 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)
2025-03-21T20:23:38.3254685Z             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
2025-03-21T20:23:38.3255758Z             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
2025-03-21T20:23:38.3257270Z             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
2025-03-21T20:23:38.3258140Z             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
2025-03-21T20:23:38.3258271Z             
2025-03-21T20:23:38.3259378Z              # 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)
2025-03-21T20:23:38.3260244Z             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
2025-03-21T20:23:38.3260381Z             
2025-03-21T20:23:38.3261376Z              # 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
2025-03-21T20:23:38.3262542Z             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
2025-03-21T20:23:38.3263681Z             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
2025-03-21T20:23:38.3263811Z             
2025-03-21T20:23:38.3264793Z              # 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)
2025-03-21T20:23:38.3265378Z             aten_view_copy_default_744: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_277, [8, 128])
2025-03-21T20:23:38.3266453Z             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
2025-03-21T20:23:38.3267973Z             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
2025-03-21T20:23:38.3268742Z             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
2025-03-21T20:23:38.3268956Z             
2025-03-21T20:23:38.3270018Z              # 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)
2025-03-21T20:23:38.3270778Z             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
2025-03-21T20:23:38.3270921Z             
2025-03-21T20:23:38.3271973Z              # 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)
2025-03-21T20:23:38.3272733Z             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
2025-03-21T20:23:38.3273731Z             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
2025-03-21T20:23:38.3275259Z             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
2025-03-21T20:23:38.3276033Z             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
2025-03-21T20:23:38.3276168Z             
2025-03-21T20:23:38.3277267Z              # 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)
2025-03-21T20:23:38.3278147Z             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
2025-03-21T20:23:38.3278276Z             
2025-03-21T20:23:38.3279284Z              # 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
2025-03-21T20:23:38.3280379Z             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
2025-03-21T20:23:38.3281447Z             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
2025-03-21T20:23:38.3281582Z             
2025-03-21T20:23:38.3282554Z              # 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)
2025-03-21T20:23:38.3283148Z             aten_view_copy_default_748: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_279, [8, 128])
2025-03-21T20:23:38.3284222Z             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
2025-03-21T20:23:38.3285755Z             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
2025-03-21T20:23:38.3286618Z             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
2025-03-21T20:23:38.3286747Z             
2025-03-21T20:23:38.3287880Z              # 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)
2025-03-21T20:23:38.3288616Z             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
2025-03-21T20:23:38.3288746Z             
2025-03-21T20:23:38.3289844Z              # 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)
2025-03-21T20:23:38.3290659Z             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
2025-03-21T20:23:38.3291660Z             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
2025-03-21T20:23:38.3293101Z             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
2025-03-21T20:23:38.3293864Z             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
2025-03-21T20:23:38.3293995Z             
2025-03-21T20:23:38.3295089Z              # 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)
2025-03-21T20:23:38.3295958Z             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
2025-03-21T20:23:38.3296094Z             
2025-03-21T20:23:38.3297087Z              # 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
2025-03-21T20:23:38.3298184Z             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
2025-03-21T20:23:38.3299245Z             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
2025-03-21T20:23:38.3299387Z             
2025-03-21T20:23:38.3300361Z              # 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)
2025-03-21T20:23:38.3300945Z             aten_view_copy_default_752: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_281, [8, 128])
2025-03-21T20:23:38.3302006Z             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
2025-03-21T20:23:38.3303732Z             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
2025-03-21T20:23:38.3304599Z             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
2025-03-21T20:23:38.3304748Z             
2025-03-21T20:23:38.3305796Z              # 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)
2025-03-21T20:23:38.3306491Z             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
2025-03-21T20:23:38.3306725Z             
2025-03-21T20:23:38.3307700Z              # 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)
2025-03-21T20:23:38.3308434Z             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
2025-03-21T20:23:38.3309430Z             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
2025-03-21T20:23:38.3310872Z             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
2025-03-21T20:23:38.3311636Z             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
2025-03-21T20:23:38.3311772Z             
2025-03-21T20:23:38.3312864Z              # 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)
2025-03-21T20:23:38.3313736Z             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
2025-03-21T20:23:38.3313860Z             
2025-03-21T20:23:38.3314859Z              # 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
2025-03-21T20:23:38.3315969Z             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
2025-03-21T20:23:38.3317047Z             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
2025-03-21T20:23:38.3317179Z             
2025-03-21T20:23:38.3318153Z              # 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)
2025-03-21T20:23:38.3318728Z             aten_view_copy_default_756: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_283, [8, 128])
2025-03-21T20:23:38.3319890Z             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
2025-03-21T20:23:38.3321448Z             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
2025-03-21T20:23:38.3322248Z             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
2025-03-21T20:23:38.3322380Z             
2025-03-21T20:23:38.3323451Z              # 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)
2025-03-21T20:23:38.3324241Z             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
2025-03-21T20:23:38.3324376Z             
2025-03-21T20:23:38.3325399Z              # 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)
2025-03-21T20:23:38.3326132Z             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
2025-03-21T20:23:38.3327089Z             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
2025-03-21T20:23:38.3328498Z             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
2025-03-21T20:23:38.3329718Z             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
2025-03-21T20:23:38.3329864Z             
2025-03-21T20:23:38.3330981Z              # 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)
2025-03-21T20:23:38.3331851Z             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
2025-03-21T20:23:38.3331995Z             
2025-03-21T20:23:38.3332996Z              # 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
2025-03-21T20:23:38.3334053Z             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
2025-03-21T20:23:38.3335071Z             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
2025-03-21T20:23:38.3335209Z             
2025-03-21T20:23:38.3336190Z              # 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)
2025-03-21T20:23:38.3337128Z             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
2025-03-21T20:23:38.3338340Z             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
2025-03-21T20:23:38.3339901Z             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
2025-03-21T20:23:38.3340669Z             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
2025-03-21T20:23:38.3340923Z             
2025-03-21T20:23:38.3341931Z              # 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)
2025-03-21T20:23:38.3342650Z             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
2025-03-21T20:23:38.3342777Z             
2025-03-21T20:23:38.3343861Z              # 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)
2025-03-21T20:23:38.3344684Z             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
2025-03-21T20:23:38.3344815Z             
2025-03-21T20:23:38.3345811Z              # 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
2025-03-21T20:23:38.3346973Z             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
2025-03-21T20:23:38.3348111Z             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
2025-03-21T20:23:38.3348241Z             
2025-03-21T20:23:38.3349210Z              # 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)
2025-03-21T20:23:38.3349785Z             aten_view_copy_default_762: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:23:38.3350835Z             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
2025-03-21T20:23:38.3352341Z             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
2025-03-21T20:23:38.3353198Z             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
2025-03-21T20:23:38.3353330Z             
2025-03-21T20:23:38.3354419Z              # 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
2025-03-21T20:23:38.3355781Z             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
2025-03-21T20:23:38.3356932Z             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
2025-03-21T20:23:38.3357173Z             
2025-03-21T20:23:38.3358144Z              # 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)
2025-03-21T20:23:38.3358723Z             aten_view_copy_default_764: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:23:38.3359824Z             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
2025-03-21T20:23:38.3361386Z             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
2025-03-21T20:23:38.3362151Z             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
2025-03-21T20:23:38.3362276Z             
2025-03-21T20:23:38.3363278Z              # 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
2025-03-21T20:23:38.3364555Z             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
2025-03-21T20:23:38.3365730Z             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
2025-03-21T20:23:38.3365862Z             
2025-03-21T20:23:38.3366857Z              # 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)
2025-03-21T20:23:38.3367435Z             aten_view_copy_default_766: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_289, [8, 128])
2025-03-21T20:23:38.3368448Z             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
2025-03-21T20:23:38.3370059Z             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
2025-03-21T20:23:38.3371033Z             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
2025-03-21T20:23:38.3371173Z             
2025-03-21T20:23:38.3372186Z              # 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)
2025-03-21T20:23:38.3372940Z             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
2025-03-21T20:23:38.3373947Z             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
2025-03-21T20:23:38.3375537Z             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
2025-03-21T20:23:38.3376302Z             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
2025-03-21T20:23:38.3376440Z             
2025-03-21T20:23:38.3377435Z              # 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)
2025-03-21T20:23:38.3378019Z             aten_view_copy_default_770: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:23:38.3379051Z             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
2025-03-21T20:23:38.3380539Z             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
2025-03-21T20:23:38.3381296Z             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
2025-03-21T20:23:38.3381438Z             
2025-03-21T20:23:38.3382387Z              # 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)
2025-03-21T20:23:38.3383198Z             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
2025-03-21T20:23:38.3383326Z             
2025-03-21T20:23:38.3384307Z              # 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)
2025-03-21T20:23:38.3385141Z             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
2025-03-21T20:23:38.3385277Z             
2025-03-21T20:23:38.3386219Z              # 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)
2025-03-21T20:23:38.3387121Z             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
2025-03-21T20:23:38.3387354Z             
2025-03-21T20:23:38.3388402Z              # 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)
2025-03-21T20:23:38.3389274Z             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
2025-03-21T20:23:38.3389405Z             
2025-03-21T20:23:38.3390365Z              # 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)
2025-03-21T20:23:38.3391229Z             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
2025-03-21T20:23:38.3391372Z             
2025-03-21T20:23:38.3392348Z              # 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)
2025-03-21T20:23:38.3393197Z             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
2025-03-21T20:23:38.3393327Z             
2025-03-21T20:23:38.3394489Z              # 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))
2025-03-21T20:23:38.3395364Z             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
2025-03-21T20:23:38.3396224Z             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
2025-03-21T20:23:38.3397025Z             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
2025-03-21T20:23:38.3397885Z             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
2025-03-21T20:23:38.3398682Z             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
2025-03-21T20:23:38.3399632Z             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
2025-03-21T20:23:38.3400362Z             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
2025-03-21T20:23:38.3400499Z             
2025-03-21T20:23:38.3401654Z              # 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)
2025-03-21T20:23:38.3402587Z             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
2025-03-21T20:23:38.3402813Z             
2025-03-21T20:23:38.3403912Z              # 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
2025-03-21T20:23:38.3404672Z             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
2025-03-21T20:23:38.3404820Z             
2025-03-21T20:23:38.3405956Z              # 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)
2025-03-21T20:23:38.3406674Z             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
2025-03-21T20:23:38.3406886Z             
2025-03-21T20:23:38.3407914Z              # 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)
2025-03-21T20:23:38.3408608Z             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
2025-03-21T20:23:38.3408741Z             
2025-03-21T20:23:38.3409924Z              # 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)
2025-03-21T20:23:38.3410702Z             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
2025-03-21T20:23:38.3411508Z             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
2025-03-21T20:23:38.3412360Z             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
2025-03-21T20:23:38.3413160Z             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
2025-03-21T20:23:38.3414104Z             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
2025-03-21T20:23:38.3414838Z             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
2025-03-21T20:23:38.3414973Z             
2025-03-21T20:23:38.3416065Z              # 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()
2025-03-21T20:23:38.3416913Z             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
2025-03-21T20:23:38.3417873Z             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
2025-03-21T20:23:38.3418005Z             
2025-03-21T20:23:38.3419170Z              # 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)
2025-03-21T20:23:38.3419989Z             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
2025-03-21T20:23:38.3420127Z             
2025-03-21T20:23:38.3421186Z              # 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)
2025-03-21T20:23:38.3422003Z             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
2025-03-21T20:23:38.3423078Z             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
2025-03-21T20:23:38.3424683Z             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
2025-03-21T20:23:38.3425454Z             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
2025-03-21T20:23:38.3425586Z             
2025-03-21T20:23:38.3426689Z              # 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)
2025-03-21T20:23:38.3427561Z             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
2025-03-21T20:23:38.3427702Z             
2025-03-21T20:23:38.3428694Z              # 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
2025-03-21T20:23:38.3430283Z             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
2025-03-21T20:23:38.3431434Z             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
2025-03-21T20:23:38.3431603Z             
2025-03-21T20:23:38.3432588Z              # 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)
2025-03-21T20:23:38.3433166Z             aten_view_copy_default_784: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_292, [8, 128])
2025-03-21T20:23:38.3434241Z             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
2025-03-21T20:23:38.3435778Z             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
2025-03-21T20:23:38.3436824Z             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
2025-03-21T20:23:38.3436965Z             
2025-03-21T20:23:38.3438223Z              # 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)
2025-03-21T20:23:38.3438951Z             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
2025-03-21T20:23:38.3439088Z             
2025-03-21T20:23:38.3440065Z              # 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)
2025-03-21T20:23:38.3440961Z             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
2025-03-21T20:23:38.3441956Z             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
2025-03-21T20:23:38.3443403Z             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
2025-03-21T20:23:38.3444164Z             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
2025-03-21T20:23:38.3444309Z             
2025-03-21T20:23:38.3445402Z              # 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)
2025-03-21T20:23:38.3446336Z             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
2025-03-21T20:23:38.3446467Z             
2025-03-21T20:23:38.3447469Z              # 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
2025-03-21T20:23:38.3448560Z             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
2025-03-21T20:23:38.3449746Z             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
2025-03-21T20:23:38.3449888Z             
2025-03-21T20:23:38.3450875Z              # 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)
2025-03-21T20:23:38.3451450Z             aten_view_copy_default_788: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_294, [8, 128])
2025-03-21T20:23:38.3452509Z             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
2025-03-21T20:23:38.3454219Z             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
2025-03-21T20:23:38.3455096Z             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
2025-03-21T20:23:38.3455241Z             
2025-03-21T20:23:38.3456297Z              # 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)
2025-03-21T20:23:38.3457027Z             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
2025-03-21T20:23:38.3457237Z             
2025-03-21T20:23:38.3458230Z              # 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)
2025-03-21T20:23:38.3458966Z             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
2025-03-21T20:23:38.3459972Z             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
2025-03-21T20:23:38.3461423Z             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
2025-03-21T20:23:38.3462199Z             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
2025-03-21T20:23:38.3462333Z             
2025-03-21T20:23:38.3463446Z              # 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)
2025-03-21T20:23:38.3464322Z             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
2025-03-21T20:23:38.3464463Z             
2025-03-21T20:23:38.3465465Z              # 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
2025-03-21T20:23:38.3466586Z             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
2025-03-21T20:23:38.3467657Z             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
2025-03-21T20:23:38.3467796Z             
2025-03-21T20:23:38.3468776Z              # 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)
2025-03-21T20:23:38.3469362Z             aten_view_copy_default_792: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_296, [8, 128])
2025-03-21T20:23:38.3470511Z             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
2025-03-21T20:23:38.3472128Z             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
2025-03-21T20:23:38.3472920Z             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
2025-03-21T20:23:38.3473056Z             
2025-03-21T20:23:38.3474119Z              # 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)
2025-03-21T20:23:38.3474888Z             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
2025-03-21T20:23:38.3475023Z             
2025-03-21T20:23:38.3476009Z              # 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)
2025-03-21T20:23:38.3476750Z             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
2025-03-21T20:23:38.3477747Z             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
2025-03-21T20:23:38.3479207Z             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
2025-03-21T20:23:38.3479974Z             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
2025-03-21T20:23:38.3480110Z             
2025-03-21T20:23:38.3481202Z              # 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)
2025-03-21T20:23:38.3482087Z             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
2025-03-21T20:23:38.3482226Z             
2025-03-21T20:23:38.3483231Z              # 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
2025-03-21T20:23:38.3484330Z             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
2025-03-21T20:23:38.3485397Z             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
2025-03-21T20:23:38.3485523Z             
2025-03-21T20:23:38.3486590Z              # 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)
2025-03-21T20:23:38.3487223Z             aten_view_copy_default_796: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_298, [8, 128])
2025-03-21T20:23:38.3488321Z             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
2025-03-21T20:23:38.3489921Z             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
2025-03-21T20:23:38.3490694Z             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
2025-03-21T20:23:38.3490918Z             
2025-03-21T20:23:38.3491989Z              # 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)
2025-03-21T20:23:38.3492686Z             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
2025-03-21T20:23:38.3492811Z             
2025-03-21T20:23:38.3493816Z              # 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)
2025-03-21T20:23:38.3494540Z             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
2025-03-21T20:23:38.3495495Z             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
2025-03-21T20:23:38.3496889Z             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
2025-03-21T20:23:38.3497655Z             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
2025-03-21T20:23:38.3497782Z             
2025-03-21T20:23:38.3498877Z              # 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)
2025-03-21T20:23:38.3499770Z             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
2025-03-21T20:23:38.3499905Z             
2025-03-21T20:23:38.3500902Z              # 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
2025-03-21T20:23:38.3501949Z             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
2025-03-21T20:23:38.3502955Z             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
2025-03-21T20:23:38.3503201Z             
2025-03-21T20:23:38.3504250Z              # 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)
2025-03-21T20:23:38.3505071Z             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
2025-03-21T20:23:38.3506151Z             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
2025-03-21T20:23:38.3507688Z             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
2025-03-21T20:23:38.3508556Z             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
2025-03-21T20:23:38.3508701Z             
2025-03-21T20:23:38.3509691Z              # 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)
2025-03-21T20:23:38.3510410Z             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
2025-03-21T20:23:38.3510540Z             
2025-03-21T20:23:38.3511631Z              # 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)
2025-03-21T20:23:38.3512462Z             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
2025-03-21T20:23:38.3512590Z             
2025-03-21T20:23:38.3513581Z              # 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
2025-03-21T20:23:38.3514742Z             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
2025-03-21T20:23:38.3515886Z             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
2025-03-21T20:23:38.3516018Z             
2025-03-21T20:23:38.3516982Z              # 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)
2025-03-21T20:23:38.3517561Z             aten_view_copy_default_802: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:23:38.3518614Z             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
2025-03-21T20:23:38.3520126Z             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
2025-03-21T20:23:38.3521147Z             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
2025-03-21T20:23:38.3521288Z             
2025-03-21T20:23:38.3522359Z              # 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
2025-03-21T20:23:38.3523613Z             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
2025-03-21T20:23:38.3524840Z             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
2025-03-21T20:23:38.3524975Z             
2025-03-21T20:23:38.3525950Z              # 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)
2025-03-21T20:23:38.3526529Z             aten_view_copy_default_804: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:23:38.3527631Z             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
2025-03-21T20:23:38.3529201Z             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
2025-03-21T20:23:38.3530312Z             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
2025-03-21T20:23:38.3530448Z             
2025-03-21T20:23:38.3531451Z              # 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
2025-03-21T20:23:38.3532734Z             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
2025-03-21T20:23:38.3533939Z             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
2025-03-21T20:23:38.3534077Z             
2025-03-21T20:23:38.3535071Z              # 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)
2025-03-21T20:23:38.3535646Z             aten_view_copy_default_806: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_304, [8, 128])
2025-03-21T20:23:38.3536701Z             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
2025-03-21T20:23:38.3538677Z             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
2025-03-21T20:23:38.3539633Z             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
2025-03-21T20:23:38.3539780Z             
2025-03-21T20:23:38.3540738Z              # 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)
2025-03-21T20:23:38.3541468Z             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
2025-03-21T20:23:38.3542599Z             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
2025-03-21T20:23:38.3544065Z             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
2025-03-21T20:23:38.3544828Z             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
2025-03-21T20:23:38.3544966Z             
2025-03-21T20:23:38.3545967Z              # 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)
2025-03-21T20:23:38.3546559Z             aten_view_copy_default_810: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:23:38.3547585Z             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
2025-03-21T20:23:38.3549082Z             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
2025-03-21T20:23:38.3549850Z             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
2025-03-21T20:23:38.3549991Z             
2025-03-21T20:23:38.3550947Z              # 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)
2025-03-21T20:23:38.3551757Z             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
2025-03-21T20:23:38.3551887Z             
2025-03-21T20:23:38.3552866Z              # 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)
2025-03-21T20:23:38.3553702Z             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
2025-03-21T20:23:38.3553934Z             
2025-03-21T20:23:38.3554945Z              # 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)
2025-03-21T20:23:38.3555867Z             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
2025-03-21T20:23:38.3556013Z             
2025-03-21T20:23:38.3556994Z              # 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)
2025-03-21T20:23:38.3557837Z             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
2025-03-21T20:23:38.3558060Z             
2025-03-21T20:23:38.3559019Z              # 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)
2025-03-21T20:23:38.3559816Z             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
2025-03-21T20:23:38.3559956Z             
2025-03-21T20:23:38.3560932Z              # 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)
2025-03-21T20:23:38.3561776Z             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
2025-03-21T20:23:38.3561911Z             
2025-03-21T20:23:38.3563077Z              # 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))
2025-03-21T20:23:38.3563958Z             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
2025-03-21T20:23:38.3564812Z             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
2025-03-21T20:23:38.3565609Z             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
2025-03-21T20:23:38.3566474Z             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
2025-03-21T20:23:38.3567273Z             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
2025-03-21T20:23:38.3568220Z             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
2025-03-21T20:23:38.3568945Z             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
2025-03-21T20:23:38.3569080Z             
2025-03-21T20:23:38.3570491Z              # 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)
2025-03-21T20:23:38.3571513Z             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
2025-03-21T20:23:38.3571658Z             
2025-03-21T20:23:38.3572754Z              # 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
2025-03-21T20:23:38.3573445Z             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
2025-03-21T20:23:38.3573573Z             
2025-03-21T20:23:38.3574696Z              # 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)
2025-03-21T20:23:38.3575480Z             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
2025-03-21T20:23:38.3575617Z             
2025-03-21T20:23:38.3576633Z              # 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)
2025-03-21T20:23:38.3577323Z             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
2025-03-21T20:23:38.3577451Z             
2025-03-21T20:23:38.3578519Z              # 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)
2025-03-21T20:23:38.3579301Z             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
2025-03-21T20:23:38.3580106Z             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
2025-03-21T20:23:38.3580949Z             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
2025-03-21T20:23:38.3581752Z             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
2025-03-21T20:23:38.3582697Z             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
2025-03-21T20:23:38.3583435Z             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
2025-03-21T20:23:38.3583564Z             
2025-03-21T20:23:38.3584650Z              # 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()
2025-03-21T20:23:38.3585490Z             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
2025-03-21T20:23:38.3586533Z             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
2025-03-21T20:23:38.3586670Z             
2025-03-21T20:23:38.3587814Z              # 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)
2025-03-21T20:23:38.3588654Z             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
2025-03-21T20:23:38.3588791Z             
2025-03-21T20:23:38.3589772Z              # 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)
2025-03-21T20:23:38.3590564Z             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
2025-03-21T20:23:38.3591727Z             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
2025-03-21T20:23:38.3593235Z             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
2025-03-21T20:23:38.3594001Z             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
2025-03-21T20:23:38.3594134Z             
2025-03-21T20:23:38.3595232Z              # 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)
2025-03-21T20:23:38.3596094Z             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
2025-03-21T20:23:38.3596227Z             
2025-03-21T20:23:38.3597215Z              # 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
2025-03-21T20:23:38.3598370Z             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
2025-03-21T20:23:38.3599499Z             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
2025-03-21T20:23:38.3599634Z             
2025-03-21T20:23:38.3600606Z              # 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)
2025-03-21T20:23:38.3601183Z             aten_view_copy_default_824: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_307, [8, 128])
2025-03-21T20:23:38.3602248Z             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
2025-03-21T20:23:38.3603908Z             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
2025-03-21T20:23:38.3604752Z             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
2025-03-21T20:23:38.3604901Z             
2025-03-21T20:23:38.3605980Z              # 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)
2025-03-21T20:23:38.3606679Z             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
2025-03-21T20:23:38.3606883Z             
2025-03-21T20:23:38.3607867Z              # 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)
2025-03-21T20:23:38.3608609Z             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
2025-03-21T20:23:38.3609726Z             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
2025-03-21T20:23:38.3611176Z             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
2025-03-21T20:23:38.3611951Z             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
2025-03-21T20:23:38.3612092Z             
2025-03-21T20:23:38.3613194Z              # 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)
2025-03-21T20:23:38.3614068Z             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
2025-03-21T20:23:38.3614197Z             
2025-03-21T20:23:38.3615197Z              # 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
2025-03-21T20:23:38.3616300Z             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
2025-03-21T20:23:38.3617370Z             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
2025-03-21T20:23:38.3617503Z             
2025-03-21T20:23:38.3618484Z              # 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)
2025-03-21T20:23:38.3619061Z             aten_view_copy_default_828: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_309, [8, 128])
2025-03-21T20:23:38.3620219Z             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
2025-03-21T20:23:38.3621857Z             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
2025-03-21T20:23:38.3622657Z             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
2025-03-21T20:23:38.3622785Z             
2025-03-21T20:23:38.3623838Z              # 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)
2025-03-21T20:23:38.3624708Z             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
2025-03-21T20:23:38.3624842Z             
2025-03-21T20:23:38.3625838Z              # 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)
2025-03-21T20:23:38.3626566Z             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
2025-03-21T20:23:38.3627564Z             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
2025-03-21T20:23:38.3629013Z             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
2025-03-21T20:23:38.3630104Z             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
2025-03-21T20:23:38.3630243Z             
2025-03-21T20:23:38.3631340Z              # 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)
2025-03-21T20:23:38.3632205Z             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
2025-03-21T20:23:38.3632345Z             
2025-03-21T20:23:38.3633338Z              # 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
2025-03-21T20:23:38.3634438Z             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
2025-03-21T20:23:38.3635493Z             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
2025-03-21T20:23:38.3635624Z             
2025-03-21T20:23:38.3636834Z              # 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)
2025-03-21T20:23:38.3637531Z             aten_view_copy_default_832: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_311, [8, 128])
2025-03-21T20:23:38.3638772Z             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
2025-03-21T20:23:38.3640319Z             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
2025-03-21T20:23:38.3641274Z             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
2025-03-21T20:23:38.3641418Z             
2025-03-21T20:23:38.3642480Z              # 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)
2025-03-21T20:23:38.3643189Z             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
2025-03-21T20:23:38.3643319Z             
2025-03-21T20:23:38.3644288Z              # 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)
2025-03-21T20:23:38.3645024Z             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
2025-03-21T20:23:38.3646024Z             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
2025-03-21T20:23:38.3647462Z             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
2025-03-21T20:23:38.3648227Z             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
2025-03-21T20:23:38.3648361Z             
2025-03-21T20:23:38.3649572Z              # 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)
2025-03-21T20:23:38.3650460Z             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
2025-03-21T20:23:38.3650591Z             
2025-03-21T20:23:38.3651596Z              # 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
2025-03-21T20:23:38.3652692Z             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
2025-03-21T20:23:38.3653869Z             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
2025-03-21T20:23:38.3654005Z             
2025-03-21T20:23:38.3655054Z              # 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)
2025-03-21T20:23:38.3655711Z             aten_view_copy_default_836: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_313, [8, 128])
2025-03-21T20:23:38.3656754Z             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
2025-03-21T20:23:38.3658226Z             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
2025-03-21T20:23:38.3659091Z             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
2025-03-21T20:23:38.3659223Z             
2025-03-21T20:23:38.3660289Z              # 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)
2025-03-21T20:23:38.3660987Z             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
2025-03-21T20:23:38.3661118Z             
2025-03-21T20:23:38.3662130Z              # 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)
2025-03-21T20:23:38.3662866Z             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
2025-03-21T20:23:38.3663820Z             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
2025-03-21T20:23:38.3665211Z             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
2025-03-21T20:23:38.3665980Z             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
2025-03-21T20:23:38.3666113Z             
2025-03-21T20:23:38.3667215Z              # 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)
2025-03-21T20:23:38.3668087Z             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
2025-03-21T20:23:38.3668222Z             
2025-03-21T20:23:38.3669213Z              # 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
2025-03-21T20:23:38.3670393Z             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
2025-03-21T20:23:38.3671501Z             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
2025-03-21T20:23:38.3671651Z             
2025-03-21T20:23:38.3672680Z              # 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)
2025-03-21T20:23:38.3673423Z             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
2025-03-21T20:23:38.3674493Z             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
2025-03-21T20:23:38.3676113Z             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
2025-03-21T20:23:38.3676868Z             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
2025-03-21T20:23:38.3677001Z             
2025-03-21T20:23:38.3677985Z              # 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)
2025-03-21T20:23:38.3678707Z             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
2025-03-21T20:23:38.3678835Z             
2025-03-21T20:23:38.3679924Z              # 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)
2025-03-21T20:23:38.3680754Z             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
2025-03-21T20:23:38.3680881Z             
2025-03-21T20:23:38.3681880Z              # 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
2025-03-21T20:23:38.3683045Z             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
2025-03-21T20:23:38.3684192Z             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
2025-03-21T20:23:38.3684321Z             
2025-03-21T20:23:38.3685280Z              # 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)
2025-03-21T20:23:38.3685848Z             aten_view_copy_default_842: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:23:38.3687021Z             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
2025-03-21T20:23:38.3688668Z             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
2025-03-21T20:23:38.3689589Z             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
2025-03-21T20:23:38.3689725Z             
2025-03-21T20:23:38.3690738Z              # 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
2025-03-21T20:23:38.3692074Z             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
2025-03-21T20:23:38.3693206Z             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
2025-03-21T20:23:38.3693339Z             
2025-03-21T20:23:38.3694309Z              # 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)
2025-03-21T20:23:38.3694886Z             aten_view_copy_default_844: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:23:38.3695993Z             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
2025-03-21T20:23:38.3697561Z             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
2025-03-21T20:23:38.3698331Z             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
2025-03-21T20:23:38.3698462Z             
2025-03-21T20:23:38.3699466Z              # 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
2025-03-21T20:23:38.3700746Z             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
2025-03-21T20:23:38.3701928Z             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
2025-03-21T20:23:38.3702059Z             
2025-03-21T20:23:38.3703050Z              # 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)
2025-03-21T20:23:38.3703722Z             aten_view_copy_default_846: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_319, [8, 128])
2025-03-21T20:23:38.3704819Z             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
2025-03-21T20:23:38.3706401Z             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
2025-03-21T20:23:38.3707183Z             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
2025-03-21T20:23:38.3707377Z             
2025-03-21T20:23:38.3708333Z              # 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)
2025-03-21T20:23:38.3709059Z             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
2025-03-21T20:23:38.3710063Z             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
2025-03-21T20:23:38.3711524Z             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
2025-03-21T20:23:38.3712297Z             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
2025-03-21T20:23:38.3712427Z             
2025-03-21T20:23:38.3713418Z              # 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)
2025-03-21T20:23:38.3714003Z             aten_view_copy_default_850: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:23:38.3715022Z             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
2025-03-21T20:23:38.3716508Z             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
2025-03-21T20:23:38.3717278Z             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
2025-03-21T20:23:38.3717415Z             
2025-03-21T20:23:38.3718368Z              # 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)
2025-03-21T20:23:38.3719173Z             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
2025-03-21T20:23:38.3719382Z             
2025-03-21T20:23:38.3720370Z              # 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)
2025-03-21T20:23:38.3721261Z             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
2025-03-21T20:23:38.3721415Z             
2025-03-21T20:23:38.3722496Z              # 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)
2025-03-21T20:23:38.3723340Z             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
2025-03-21T20:23:38.3723470Z             
2025-03-21T20:23:38.3724451Z              # 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)
2025-03-21T20:23:38.3725395Z             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
2025-03-21T20:23:38.3725528Z             
2025-03-21T20:23:38.3726491Z              # 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)
2025-03-21T20:23:38.3727282Z             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
2025-03-21T20:23:38.3727415Z             
2025-03-21T20:23:38.3728383Z              # 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)
2025-03-21T20:23:38.3729234Z             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
2025-03-21T20:23:38.3729746Z             
2025-03-21T20:23:38.3730944Z              # 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))
2025-03-21T20:23:38.3731825Z             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
2025-03-21T20:23:38.3732681Z             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
2025-03-21T20:23:38.3733490Z             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
2025-03-21T20:23:38.3734365Z             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
2025-03-21T20:23:38.3735188Z             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
2025-03-21T20:23:38.3736138Z             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
2025-03-21T20:23:38.3737100Z             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
2025-03-21T20:23:38.3737239Z             
2025-03-21T20:23:38.3738496Z              # 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)
2025-03-21T20:23:38.3739596Z             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
2025-03-21T20:23:38.3739842Z             
2025-03-21T20:23:38.3740948Z              # 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
2025-03-21T20:23:38.3741800Z             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
2025-03-21T20:23:38.3750806Z             
2025-03-21T20:23:38.3752049Z              # 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)
2025-03-21T20:23:38.3752791Z             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
2025-03-21T20:23:38.3752923Z             
2025-03-21T20:23:38.3753944Z              # 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)
2025-03-21T20:23:38.3754636Z             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
2025-03-21T20:23:38.3754773Z             
2025-03-21T20:23:38.3755846Z              # 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)
2025-03-21T20:23:38.3756618Z             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
2025-03-21T20:23:38.3757418Z             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
2025-03-21T20:23:38.3758262Z             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
2025-03-21T20:23:38.3759073Z             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
2025-03-21T20:23:38.3760016Z             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
2025-03-21T20:23:38.3760754Z             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
2025-03-21T20:23:38.3760881Z             
2025-03-21T20:23:38.3761965Z              # 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()
2025-03-21T20:23:38.3763063Z             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
2025-03-21T20:23:38.3764147Z             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
2025-03-21T20:23:38.3764371Z             
2025-03-21T20:23:38.3765459Z              # 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)
2025-03-21T20:23:38.3766211Z             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
2025-03-21T20:23:38.3766469Z             
2025-03-21T20:23:38.3767443Z              # 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)
2025-03-21T20:23:38.3768242Z             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
2025-03-21T20:23:38.3769286Z             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
2025-03-21T20:23:38.3770969Z             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
2025-03-21T20:23:38.3771737Z             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
2025-03-21T20:23:38.3771873Z             
2025-03-21T20:23:38.3772976Z              # 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)
2025-03-21T20:23:38.3773854Z             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
2025-03-21T20:23:38.3773979Z             
2025-03-21T20:23:38.3774979Z              # 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
2025-03-21T20:23:38.3776153Z             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
2025-03-21T20:23:38.3777288Z             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
2025-03-21T20:23:38.3777423Z             
2025-03-21T20:23:38.3778397Z              # 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)
2025-03-21T20:23:38.3778983Z             aten_view_copy_default_864: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_322, [8, 128])
2025-03-21T20:23:38.3780163Z             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
2025-03-21T20:23:38.3781814Z             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
2025-03-21T20:23:38.3782605Z             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
2025-03-21T20:23:38.3782743Z             
2025-03-21T20:23:38.3783800Z              # 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)
2025-03-21T20:23:38.3784603Z             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
2025-03-21T20:23:38.3784737Z             
2025-03-21T20:23:38.3785730Z              # 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)
2025-03-21T20:23:38.3786458Z             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
2025-03-21T20:23:38.3787469Z             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
2025-03-21T20:23:38.3788910Z             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
2025-03-21T20:23:38.3789686Z             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
2025-03-21T20:23:38.3789824Z             
2025-03-21T20:23:38.3790937Z              # 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)
2025-03-21T20:23:38.3791836Z             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
2025-03-21T20:23:38.3791989Z             
2025-03-21T20:23:38.3793002Z              # 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
2025-03-21T20:23:38.3794102Z             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
2025-03-21T20:23:38.3795162Z             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
2025-03-21T20:23:38.3795297Z             
2025-03-21T20:23:38.3796353Z              # 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)
2025-03-21T20:23:38.3796996Z             aten_view_copy_default_868: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_324, [8, 128])
2025-03-21T20:23:38.3798163Z             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
2025-03-21T20:23:38.3799709Z             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
2025-03-21T20:23:38.3800476Z             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
2025-03-21T20:23:38.3800689Z             
2025-03-21T20:23:38.3801748Z              # 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)
2025-03-21T20:23:38.3802451Z             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
2025-03-21T20:23:38.3802585Z             
2025-03-21T20:23:38.3803557Z              # 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)
2025-03-21T20:23:38.3804292Z             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
2025-03-21T20:23:38.3805297Z             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
2025-03-21T20:23:38.3806745Z             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
2025-03-21T20:23:38.3807508Z             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
2025-03-21T20:23:38.3807644Z             
2025-03-21T20:23:38.3808743Z              # 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)
2025-03-21T20:23:38.3809727Z             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
2025-03-21T20:23:38.3809861Z             
2025-03-21T20:23:38.3810864Z              # 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
2025-03-21T20:23:38.3811950Z             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
2025-03-21T20:23:38.3813115Z             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
2025-03-21T20:23:38.3813248Z             
2025-03-21T20:23:38.3814279Z              # 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)
2025-03-21T20:23:38.3814985Z             aten_view_copy_default_872: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_326, [8, 128])
2025-03-21T20:23:38.3816078Z             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
2025-03-21T20:23:38.3817609Z             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
2025-03-21T20:23:38.3818471Z             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
2025-03-21T20:23:38.3818601Z             
2025-03-21T20:23:38.3819671Z              # 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)
2025-03-21T20:23:38.3820371Z             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
2025-03-21T20:23:38.3820505Z             
2025-03-21T20:23:38.3821485Z              # 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)
2025-03-21T20:23:38.3822214Z             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
2025-03-21T20:23:38.3823214Z             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
2025-03-21T20:23:38.3824649Z             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
2025-03-21T20:23:38.3825417Z             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
2025-03-21T20:23:38.3825551Z             
2025-03-21T20:23:38.3826657Z              # 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)
2025-03-21T20:23:38.3827524Z             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
2025-03-21T20:23:38.3827662Z             
2025-03-21T20:23:38.3828655Z              # 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
2025-03-21T20:23:38.3830269Z             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
2025-03-21T20:23:38.3831534Z             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
2025-03-21T20:23:38.3831801Z             
2025-03-21T20:23:38.3832804Z              # 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)
2025-03-21T20:23:38.3833393Z             aten_view_copy_default_876: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_328, [8, 128])
2025-03-21T20:23:38.3834412Z             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
2025-03-21T20:23:38.3836029Z             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
2025-03-21T20:23:38.3836806Z             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
2025-03-21T20:23:38.3836941Z             
2025-03-21T20:23:38.3837995Z              # 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)
2025-03-21T20:23:38.3838713Z             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
2025-03-21T20:23:38.3838840Z             
2025-03-21T20:23:38.3839849Z              # 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)
2025-03-21T20:23:38.3840592Z             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
2025-03-21T20:23:38.3841546Z             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
2025-03-21T20:23:38.3842950Z             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
2025-03-21T20:23:38.3843721Z             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
2025-03-21T20:23:38.3843860Z             
2025-03-21T20:23:38.3844958Z              # 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)
2025-03-21T20:23:38.3845832Z             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
2025-03-21T20:23:38.3846100Z             
2025-03-21T20:23:38.3847096Z              # 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
2025-03-21T20:23:38.3848196Z             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
2025-03-21T20:23:38.3849281Z             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
2025-03-21T20:23:38.3849529Z             
2025-03-21T20:23:38.3850509Z              # 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)
2025-03-21T20:23:38.3851375Z             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
2025-03-21T20:23:38.3852450Z             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
2025-03-21T20:23:38.3853978Z             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
2025-03-21T20:23:38.3854745Z             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
2025-03-21T20:23:38.3854880Z             
2025-03-21T20:23:38.3855874Z              # 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)
2025-03-21T20:23:38.3856589Z             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
2025-03-21T20:23:38.3856735Z             
2025-03-21T20:23:38.3857825Z              # 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)
2025-03-21T20:23:38.3858656Z             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
2025-03-21T20:23:38.3858790Z             
2025-03-21T20:23:38.3859782Z              # 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
2025-03-21T20:23:38.3860961Z             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
2025-03-21T20:23:38.3862107Z             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
2025-03-21T20:23:38.3862242Z             
2025-03-21T20:23:38.3863380Z              # 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)
2025-03-21T20:23:38.3864323Z             aten_view_copy_default_882: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:23:38.3865442Z             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
2025-03-21T20:23:38.3867062Z             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
2025-03-21T20:23:38.3867849Z             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
2025-03-21T20:23:38.3868158Z             
2025-03-21T20:23:38.3869178Z              # 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
2025-03-21T20:23:38.3870416Z             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
2025-03-21T20:23:38.3871539Z             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
2025-03-21T20:23:38.3871672Z             
2025-03-21T20:23:38.3872638Z              # 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)
2025-03-21T20:23:38.3873228Z             aten_view_copy_default_884: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:23:38.3874331Z             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
2025-03-21T20:23:38.3875905Z             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
2025-03-21T20:23:38.3876673Z             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
2025-03-21T20:23:38.3876808Z             
2025-03-21T20:23:38.3877809Z              # 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
2025-03-21T20:23:38.3879094Z             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
2025-03-21T20:23:38.3880265Z             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
2025-03-21T20:23:38.3880505Z             
2025-03-21T20:23:38.3881502Z              # 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)
2025-03-21T20:23:38.3882223Z             aten_view_copy_default_886: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_334, [8, 128])
2025-03-21T20:23:38.3883312Z             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
2025-03-21T20:23:38.3884816Z             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
2025-03-21T20:23:38.3885650Z             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
2025-03-21T20:23:38.3885791Z             
2025-03-21T20:23:38.3886747Z              # 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)
2025-03-21T20:23:38.3887460Z             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
2025-03-21T20:23:38.3888465Z             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
2025-03-21T20:23:38.3890036Z             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
2025-03-21T20:23:38.3890805Z             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
2025-03-21T20:23:38.3890934Z             
2025-03-21T20:23:38.3891926Z              # 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)
2025-03-21T20:23:38.3892499Z             aten_view_copy_default_890: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:23:38.3893525Z             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
2025-03-21T20:23:38.3895007Z             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
2025-03-21T20:23:38.3895777Z             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
2025-03-21T20:23:38.3895903Z             
2025-03-21T20:23:38.3896852Z              # 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)
2025-03-21T20:23:38.3897754Z             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
2025-03-21T20:23:38.3897890Z             
2025-03-21T20:23:38.3899086Z              # 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)
2025-03-21T20:23:38.3900057Z             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
2025-03-21T20:23:38.3900202Z             
2025-03-21T20:23:38.3901168Z              # 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)
2025-03-21T20:23:38.3902038Z             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
2025-03-21T20:23:38.3902175Z             
2025-03-21T20:23:38.3903156Z              # 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)
2025-03-21T20:23:38.3904096Z             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
2025-03-21T20:23:38.3904238Z             
2025-03-21T20:23:38.3905184Z              # 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)
2025-03-21T20:23:38.3905988Z             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
2025-03-21T20:23:38.3906119Z             
2025-03-21T20:23:38.3907102Z              # 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)
2025-03-21T20:23:38.3907945Z             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
2025-03-21T20:23:38.3908081Z             
2025-03-21T20:23:38.3909231Z              # 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))
2025-03-21T20:23:38.3910114Z             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
2025-03-21T20:23:38.3910965Z             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
2025-03-21T20:23:38.3911771Z             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
2025-03-21T20:23:38.3912616Z             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
2025-03-21T20:23:38.3913418Z             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
2025-03-21T20:23:38.3914456Z             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
2025-03-21T20:23:38.3915277Z             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
2025-03-21T20:23:38.3915486Z             
2025-03-21T20:23:38.3916657Z              # 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)
2025-03-21T20:23:38.3917591Z             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
2025-03-21T20:23:38.3917825Z             
2025-03-21T20:23:38.3918866Z              # 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
2025-03-21T20:23:38.3919543Z             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
2025-03-21T20:23:38.3919681Z             
2025-03-21T20:23:38.3920793Z              # 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)
2025-03-21T20:23:38.3921635Z             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
2025-03-21T20:23:38.3921984Z             
2025-03-21T20:23:38.3923186Z              # 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)
2025-03-21T20:23:38.3923920Z             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
2025-03-21T20:23:38.3924056Z             
2025-03-21T20:23:38.3925124Z              # 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)
2025-03-21T20:23:38.3925906Z             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
2025-03-21T20:23:38.3926705Z             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
2025-03-21T20:23:38.3927567Z             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
2025-03-21T20:23:38.3928370Z             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
2025-03-21T20:23:38.3929672Z             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
2025-03-21T20:23:38.3930419Z             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
2025-03-21T20:23:38.3930844Z             
2025-03-21T20:23:38.3931942Z              # 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()
2025-03-21T20:23:38.3932938Z             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
2025-03-21T20:23:38.3933936Z             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
2025-03-21T20:23:38.3934063Z             
2025-03-21T20:23:38.3935189Z              # 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)
2025-03-21T20:23:38.3936059Z             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
2025-03-21T20:23:38.3936194Z             
2025-03-21T20:23:38.3937174Z              # 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)
2025-03-21T20:23:38.3938054Z             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
2025-03-21T20:23:38.3939254Z             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
2025-03-21T20:23:38.3940922Z             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
2025-03-21T20:23:38.3941682Z             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
2025-03-21T20:23:38.3941821Z             
2025-03-21T20:23:38.3942916Z              # 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)
2025-03-21T20:23:38.3943791Z             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
2025-03-21T20:23:38.3943925Z             
2025-03-21T20:23:38.3944928Z              # 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
2025-03-21T20:23:38.3946091Z             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
2025-03-21T20:23:38.3947369Z             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
2025-03-21T20:23:38.3947499Z             
2025-03-21T20:23:38.3948701Z              # 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)
2025-03-21T20:23:38.3949364Z             aten_view_copy_default_904: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_337, [8, 128])
2025-03-21T20:23:38.3950538Z             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
2025-03-21T20:23:38.3952091Z             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
2025-03-21T20:23:38.3952870Z             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
2025-03-21T20:23:38.3953064Z             
2025-03-21T20:23:38.3954216Z              # 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)
2025-03-21T20:23:38.3954935Z             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
2025-03-21T20:23:38.3955067Z             
2025-03-21T20:23:38.3956064Z              # 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)
2025-03-21T20:23:38.3956980Z             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
2025-03-21T20:23:38.3958215Z             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
2025-03-21T20:23:38.3959677Z             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
2025-03-21T20:23:38.3960506Z             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
2025-03-21T20:23:38.3960636Z             
2025-03-21T20:23:38.3961839Z              # 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)
2025-03-21T20:23:38.3962775Z             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
2025-03-21T20:23:38.3962918Z             
2025-03-21T20:23:38.3964116Z              # 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
2025-03-21T20:23:38.3965381Z             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
2025-03-21T20:23:38.3966732Z             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
2025-03-21T20:23:38.3966882Z             
2025-03-21T20:23:38.3967943Z              # 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)
2025-03-21T20:23:38.3968719Z             aten_view_copy_default_908: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_339, [8, 128])
2025-03-21T20:23:38.3969938Z             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
2025-03-21T20:23:38.3971606Z             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
2025-03-21T20:23:38.3972762Z             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
2025-03-21T20:23:38.3972981Z             
2025-03-21T20:23:38.3974107Z              # 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)
2025-03-21T20:23:38.3974832Z             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
2025-03-21T20:23:38.3974967Z             
2025-03-21T20:23:38.3975965Z              # 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)
2025-03-21T20:23:38.3976851Z             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
2025-03-21T20:23:38.3977934Z             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
2025-03-21T20:23:38.3979520Z             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
2025-03-21T20:23:38.3980353Z             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
2025-03-21T20:23:38.3980602Z             
2025-03-21T20:23:38.3981813Z              # 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)
2025-03-21T20:23:38.3982803Z             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
2025-03-21T20:23:38.3983008Z             
2025-03-21T20:23:38.3984132Z              # 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
2025-03-21T20:23:38.3985486Z             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
2025-03-21T20:23:38.3986664Z             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
2025-03-21T20:23:38.3986868Z             
2025-03-21T20:23:38.3987880Z              # 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)
2025-03-21T20:23:38.3988458Z             aten_view_copy_default_912: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_341, [8, 128])
2025-03-21T20:23:38.3989534Z             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
2025-03-21T20:23:38.3991230Z             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
2025-03-21T20:23:38.3992002Z             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
2025-03-21T20:23:38.3992132Z             
2025-03-21T20:23:38.3993195Z              # 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)
2025-03-21T20:23:38.3993900Z             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
2025-03-21T20:23:38.3994028Z             
2025-03-21T20:23:38.3995012Z              # 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)
2025-03-21T20:23:38.3995742Z             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
2025-03-21T20:23:38.3996867Z             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
2025-03-21T20:23:38.3998510Z             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
2025-03-21T20:23:38.3999453Z             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
2025-03-21T20:23:38.3999705Z             
2025-03-21T20:23:38.4000827Z              # 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)
2025-03-21T20:23:38.4001809Z             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
2025-03-21T20:23:38.4002057Z             
2025-03-21T20:23:38.4003051Z              # 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
2025-03-21T20:23:38.4004274Z             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
2025-03-21T20:23:38.4005344Z             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
2025-03-21T20:23:38.4005480Z             
2025-03-21T20:23:38.4006457Z              # 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)
2025-03-21T20:23:38.4007179Z             aten_view_copy_default_916: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_343, [8, 128])
2025-03-21T20:23:38.4008192Z             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
2025-03-21T20:23:38.4009784Z             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
2025-03-21T20:23:38.4010551Z             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
2025-03-21T20:23:38.4010696Z             
2025-03-21T20:23:38.4011747Z              # 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)
2025-03-21T20:23:38.4012452Z             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
2025-03-21T20:23:38.4012584Z             
2025-03-21T20:23:38.4013585Z              # 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)
2025-03-21T20:23:38.4014323Z             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
2025-03-21T20:23:38.4015273Z             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
2025-03-21T20:23:38.4016679Z             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
2025-03-21T20:23:38.4017445Z             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
2025-03-21T20:23:38.4017576Z             
2025-03-21T20:23:38.4018802Z              # 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)
2025-03-21T20:23:38.4019916Z             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
2025-03-21T20:23:38.4020104Z             
2025-03-21T20:23:38.4021266Z              # 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
2025-03-21T20:23:38.4022515Z             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
2025-03-21T20:23:38.4023716Z             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
2025-03-21T20:23:38.4024095Z             
2025-03-21T20:23:38.4025074Z              # 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)
2025-03-21T20:23:38.4025790Z             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
2025-03-21T20:23:38.4026862Z             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
2025-03-21T20:23:38.4028380Z             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
2025-03-21T20:23:38.4029173Z             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
2025-03-21T20:23:38.4029653Z             
2025-03-21T20:23:38.4030660Z              # 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)
2025-03-21T20:23:38.4031383Z             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
2025-03-21T20:23:38.4031514Z             
2025-03-21T20:23:38.4032608Z              # 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)
2025-03-21T20:23:38.4033443Z             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
2025-03-21T20:23:38.4033579Z             
2025-03-21T20:23:38.4034583Z              # 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
2025-03-21T20:23:38.4035745Z             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
2025-03-21T20:23:38.4036885Z             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
2025-03-21T20:23:38.4037244Z             
2025-03-21T20:23:38.4038315Z              # 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)
2025-03-21T20:23:38.4039005Z             aten_view_copy_default_922: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:23:38.4040074Z             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
2025-03-21T20:23:38.4041580Z             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
2025-03-21T20:23:38.4042501Z             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
2025-03-21T20:23:38.4042634Z             
2025-03-21T20:23:38.4043641Z              # 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
2025-03-21T20:23:38.4044872Z             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
2025-03-21T20:23:38.4046008Z             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
2025-03-21T20:23:38.4046140Z             
2025-03-21T20:23:38.4047112Z              # 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)
2025-03-21T20:23:38.4047694Z             aten_view_copy_default_924: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:23:38.4048805Z             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
2025-03-21T20:23:38.4050456Z             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
2025-03-21T20:23:38.4051232Z             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
2025-03-21T20:23:38.4051363Z             
2025-03-21T20:23:38.4052367Z              # 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
2025-03-21T20:23:38.4053631Z             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
2025-03-21T20:23:38.4054903Z             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
2025-03-21T20:23:38.4055094Z             
2025-03-21T20:23:38.4056164Z              # 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)
2025-03-21T20:23:38.4056755Z             aten_view_copy_default_926: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_349, [8, 128])
2025-03-21T20:23:38.4057788Z             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
2025-03-21T20:23:38.4059352Z             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
2025-03-21T20:23:38.4060122Z             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
2025-03-21T20:23:38.4060250Z             
2025-03-21T20:23:38.4061203Z              # 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)
2025-03-21T20:23:38.4061918Z             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
2025-03-21T20:23:38.4062925Z             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
2025-03-21T20:23:38.4064395Z             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
2025-03-21T20:23:38.4065159Z             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
2025-03-21T20:23:38.4065284Z             
2025-03-21T20:23:38.4066273Z              # 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)
2025-03-21T20:23:38.4066860Z             aten_view_copy_default_930: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:23:38.4067878Z             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
2025-03-21T20:23:38.4069365Z             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
2025-03-21T20:23:38.4070123Z             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
2025-03-21T20:23:38.4070366Z             
2025-03-21T20:23:38.4071314Z              # 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)
2025-03-21T20:23:38.4072242Z             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
2025-03-21T20:23:38.4072382Z             
2025-03-21T20:23:38.4073366Z              # 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)
2025-03-21T20:23:38.4074206Z             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
2025-03-21T20:23:38.4074406Z             
2025-03-21T20:23:38.4075350Z              # 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)
2025-03-21T20:23:38.4076149Z             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
2025-03-21T20:23:38.4076279Z             
2025-03-21T20:23:38.4077245Z              # 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)
2025-03-21T20:23:38.4078084Z             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
2025-03-21T20:23:38.4078217Z             
2025-03-21T20:23:38.4079158Z              # 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)
2025-03-21T20:23:38.4079950Z             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
2025-03-21T20:23:38.4080081Z             
2025-03-21T20:23:38.4081053Z              # 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)
2025-03-21T20:23:38.4081894Z             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
2025-03-21T20:23:38.4082021Z             
2025-03-21T20:23:38.4083177Z              # 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))
2025-03-21T20:23:38.4084044Z             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
2025-03-21T20:23:38.4084894Z             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
2025-03-21T20:23:38.4085687Z             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
2025-03-21T20:23:38.4086536Z             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
2025-03-21T20:23:38.4087463Z             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
2025-03-21T20:23:38.4088484Z             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
2025-03-21T20:23:38.4089222Z             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
2025-03-21T20:23:38.4089462Z             
2025-03-21T20:23:38.4090619Z              # 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)
2025-03-21T20:23:38.4091630Z             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
2025-03-21T20:23:38.4091759Z             
2025-03-21T20:23:38.4092793Z              # 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
2025-03-21T20:23:38.4093543Z             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
2025-03-21T20:23:38.4093669Z             
2025-03-21T20:23:38.4094777Z              # 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)
2025-03-21T20:23:38.4095494Z             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
2025-03-21T20:23:38.4095630Z             
2025-03-21T20:23:38.4096643Z              # 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)
2025-03-21T20:23:38.4097324Z             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
2025-03-21T20:23:38.4097449Z             
2025-03-21T20:23:38.4098510Z              # 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)
2025-03-21T20:23:38.4099279Z             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
2025-03-21T20:23:38.4100072Z             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
2025-03-21T20:23:38.4100917Z             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
2025-03-21T20:23:38.4101721Z             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
2025-03-21T20:23:38.4102654Z             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
2025-03-21T20:23:38.4103535Z             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
2025-03-21T20:23:38.4103676Z             
2025-03-21T20:23:38.4104843Z              # 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()
2025-03-21T20:23:38.4105715Z             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
2025-03-21T20:23:38.4106675Z             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
2025-03-21T20:23:38.4106884Z             
2025-03-21T20:23:38.4107977Z              # 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)
2025-03-21T20:23:38.4108754Z             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
2025-03-21T20:23:38.4108888Z             
2025-03-21T20:23:38.4109873Z              # 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)
2025-03-21T20:23:38.4110665Z             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
2025-03-21T20:23:38.4111730Z             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
2025-03-21T20:23:38.4113258Z             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
2025-03-21T20:23:38.4114031Z             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
2025-03-21T20:23:38.4114159Z             
2025-03-21T20:23:38.4115268Z              # 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)
2025-03-21T20:23:38.4116146Z             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
2025-03-21T20:23:38.4116284Z             
2025-03-21T20:23:38.4117279Z              # 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
2025-03-21T20:23:38.4118446Z             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
2025-03-21T20:23:38.4119678Z             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
2025-03-21T20:23:38.4119826Z             
2025-03-21T20:23:38.4120865Z              # 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)
2025-03-21T20:23:38.4121518Z             aten_view_copy_default_944: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_352, [8, 128])
2025-03-21T20:23:38.4122624Z             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
2025-03-21T20:23:38.4124162Z             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
2025-03-21T20:23:38.4125019Z             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
2025-03-21T20:23:38.4125153Z             
2025-03-21T20:23:38.4126214Z              # 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)
2025-03-21T20:23:38.4126912Z             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
2025-03-21T20:23:38.4127051Z             
2025-03-21T20:23:38.4128027Z              # 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)
2025-03-21T20:23:38.4128769Z             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
2025-03-21T20:23:38.4130252Z             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
2025-03-21T20:23:38.4131706Z             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
2025-03-21T20:23:38.4132474Z             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
2025-03-21T20:23:38.4132608Z             
2025-03-21T20:23:38.4133705Z              # 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)
2025-03-21T20:23:38.4134586Z             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
2025-03-21T20:23:38.4134711Z             
2025-03-21T20:23:38.4135711Z              # 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
2025-03-21T20:23:38.4137044Z             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
2025-03-21T20:23:38.4138417Z             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
2025-03-21T20:23:38.4138564Z             
2025-03-21T20:23:38.4139560Z              # 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)
2025-03-21T20:23:38.4140144Z             aten_view_copy_default_948: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_354, [8, 128])
2025-03-21T20:23:38.4141222Z             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
2025-03-21T20:23:38.4142913Z             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
2025-03-21T20:23:38.4143690Z             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
2025-03-21T20:23:38.4143819Z             
2025-03-21T20:23:38.4144870Z              # 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)
2025-03-21T20:23:38.4145577Z             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
2025-03-21T20:23:38.4145702Z             
2025-03-21T20:23:38.4146685Z              # 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)
2025-03-21T20:23:38.4147416Z             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
2025-03-21T20:23:38.4148408Z             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
2025-03-21T20:23:38.4149847Z             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
2025-03-21T20:23:38.4150616Z             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
2025-03-21T20:23:38.4150744Z             
2025-03-21T20:23:38.4151842Z              # 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)
2025-03-21T20:23:38.4152704Z             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
2025-03-21T20:23:38.4152960Z             
2025-03-21T20:23:38.4153954Z              # 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
2025-03-21T20:23:38.4155164Z             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
2025-03-21T20:23:38.4156239Z             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
2025-03-21T20:23:38.4156372Z             
2025-03-21T20:23:38.4157341Z              # 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)
2025-03-21T20:23:38.4157989Z             aten_view_copy_default_952: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_356, [8, 128])
2025-03-21T20:23:38.4159053Z             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
2025-03-21T20:23:38.4160581Z             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
2025-03-21T20:23:38.4161340Z             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
2025-03-21T20:23:38.4161478Z             
2025-03-21T20:23:38.4162533Z              # 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)
2025-03-21T20:23:38.4163240Z             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
2025-03-21T20:23:38.4163367Z             
2025-03-21T20:23:38.4164343Z              # 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)
2025-03-21T20:23:38.4165077Z             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
2025-03-21T20:23:38.4166071Z             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
2025-03-21T20:23:38.4167517Z             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
2025-03-21T20:23:38.4168273Z             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
2025-03-21T20:23:38.4168414Z             
2025-03-21T20:23:38.4169629Z              # 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)
2025-03-21T20:23:38.4170600Z             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
2025-03-21T20:23:38.4170825Z             
2025-03-21T20:23:38.4171906Z              # 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
2025-03-21T20:23:38.4173013Z             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
2025-03-21T20:23:38.4174081Z             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
2025-03-21T20:23:38.4174289Z             
2025-03-21T20:23:38.4175277Z              # 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)
2025-03-21T20:23:38.4175858Z             aten_view_copy_default_956: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_358, [8, 128])
2025-03-21T20:23:38.4176876Z             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
2025-03-21T20:23:38.4178351Z             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
2025-03-21T20:23:38.4179126Z             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
2025-03-21T20:23:38.4179258Z             
2025-03-21T20:23:38.4180318Z              # 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)
2025-03-21T20:23:38.4181012Z             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
2025-03-21T20:23:38.4181143Z             
2025-03-21T20:23:38.4182149Z              # 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)
2025-03-21T20:23:38.4182880Z             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
2025-03-21T20:23:38.4183837Z             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
2025-03-21T20:23:38.4185231Z             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
2025-03-21T20:23:38.4185993Z             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
2025-03-21T20:23:38.4186218Z             
2025-03-21T20:23:38.4187415Z              # 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)
2025-03-21T20:23:38.4188353Z             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
2025-03-21T20:23:38.4188500Z             
2025-03-21T20:23:38.4189488Z              # 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
2025-03-21T20:23:38.4190532Z             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
2025-03-21T20:23:38.4191611Z             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
2025-03-21T20:23:38.4191748Z             
2025-03-21T20:23:38.4192721Z              # 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)
2025-03-21T20:23:38.4193441Z             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
2025-03-21T20:23:38.4194498Z             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
2025-03-21T20:23:38.4196030Z             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
2025-03-21T20:23:38.4196787Z             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
2025-03-21T20:23:38.4196922Z             
2025-03-21T20:23:38.4197903Z              # 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)
2025-03-21T20:23:38.4198614Z             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
2025-03-21T20:23:38.4198746Z             
2025-03-21T20:23:38.4199840Z              # 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)
2025-03-21T20:23:38.4200661Z             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
2025-03-21T20:23:38.4200788Z             
2025-03-21T20:23:38.4201783Z              # 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
2025-03-21T20:23:38.4202940Z             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
2025-03-21T20:23:38.4204286Z             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
2025-03-21T20:23:38.4204431Z             
2025-03-21T20:23:38.4205467Z              # 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]
2025-03-21T20:23:38.4206019Z             aten_select_copy_int: "f32[1, 512]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_add_tensor_362, 1, 0)
2025-03-21T20:23:38.4206247Z             return (aten_add_tensor_362, aten_select_copy_int)
2025-03-21T20:23:38.4206381Z             
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arg=TensorArgument(name='aten_select_copy_int'), target=None)])
2025-03-21T20:24:55.3535459Z Range constraints: {}
2025-03-21T20:24:55.3535806Z 
2025-03-21T20:24:55.3536184Z [INFO 2025-03-21 20:24:46,731 utils.py:141] Saved exported program to ./mobilebert.pte
2025-03-21T20:24:55.3536851Z + run_portable_executor_runner
2025-03-21T20:24:55.3537304Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:24:55.3537721Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:24:55.3538124Z + build_cmake_executor_runner
2025-03-21T20:24:55.3538589Z + echo 'Building executor_runner'
2025-03-21T20:24:55.3539027Z Building executor_runner
2025-03-21T20:24:55.3539416Z + rm -rf cmake-out
2025-03-21T20:24:55.3540197Z + cmake -DCMAKE_BUILD_TYPE=Debug -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:24:55.3541107Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:24:55.3541657Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:24:55.3542168Z -- Detecting C compiler ABI info
2025-03-21T20:24:55.3542619Z -- Detecting C compiler ABI info - done
2025-03-21T20:24:55.3543182Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:24:55.3543741Z -- Detecting C compile features
2025-03-21T20:24:55.3544178Z -- Detecting C compile features - done
2025-03-21T20:24:55.3544652Z -- Detecting CXX compiler ABI info
2025-03-21T20:24:55.3545475Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:24:55.3546076Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:24:55.3546651Z -- Detecting CXX compile features
2025-03-21T20:24:55.3547108Z -- Detecting CXX compile features - done
2025-03-21T20:24:55.3548538Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:55.3549588Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:55.3550197Z   CMake.
2025-03-21T20:24:55.3550513Z 
2025-03-21T20:24:55.3550862Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:55.3551659Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:55.3552350Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:55.3552726Z 
2025-03-21T20:24:55.3552921Z 
2025-03-21T20:24:55.3553814Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:55.3555032Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:55.3555633Z   CMake.
2025-03-21T20:24:55.3555801Z 
2025-03-21T20:24:55.3556133Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:55.3556922Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:55.3557620Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:55.3557996Z 
2025-03-21T20:24:55.3558183Z 
2025-03-21T20:24:55.3558528Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:24:55.3559069Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:24:55.3559568Z -- Found Threads: TRUE
2025-03-21T20:24:55.3560532Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:55.3561610Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:55.3562219Z   CMake.
2025-03-21T20:24:55.3562389Z 
2025-03-21T20:24:55.3562723Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:55.3563524Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:55.3564215Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:55.3564588Z 
2025-03-21T20:24:55.3564768Z 
2025-03-21T20:24:55.3565096Z -- Using python executable 'python'
2025-03-21T20:24:55.3566063Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:24:55.3567024Z -- Killing buck2 daemon
2025-03-21T20:24:55.3567862Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:24:55.3568789Z -- executorch: Generating source lists
2025-03-21T20:24:55.3569928Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:55.3570937Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:55.3571683Z -- executorch: Using PAL default 'posix'
2025-03-21T20:24:55.3572176Z -- Generating operator lib:
2025-03-21T20:24:55.3572623Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:55.3573263Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:55.3573923Z --   ROOT_OPS: 
2025-03-21T20:24:55.3574295Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:55.3576158Z 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"
2025-03-21T20:24:55.3577750Z -- Generating kernel bindings:
2025-03-21T20:24:55.3578163Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:55.3578744Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:55.3579616Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:55.3580003Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:24:55.3582459Z 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
2025-03-21T20:24:55.3584549Z -- Generating operator lib:
2025-03-21T20:24:55.3584953Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:55.3585466Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:24:55.3585938Z --   DEPS: executorch
2025-03-21T20:24:55.3586688Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:24:55.3587510Z -- Generating operator lib:
2025-03-21T20:24:55.3587922Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:55.3588522Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:24:55.3589253Z --   ROOT_OPS: 
2025-03-21T20:24:55.3589594Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:55.3591360Z 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"
2025-03-21T20:24:55.3592949Z -- Generating kernel bindings:
2025-03-21T20:24:55.3593361Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:55.3594033Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:24:55.3594643Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:55.3595023Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:24:55.3597409Z 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
2025-03-21T20:24:55.3599550Z -- Generating operator lib:
2025-03-21T20:24:55.3599961Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:55.3600383Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:24:55.3600811Z --   DEPS: executorch
2025-03-21T20:24:55.3601185Z -- Merging kernel yaml files:
2025-03-21T20:24:55.3601885Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:24:55.3602899Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:24:55.3603730Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:24:55.3604275Z -- Generating operator lib:
2025-03-21T20:24:55.3604704Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:55.3605366Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:24:55.3605993Z --   ROOT_OPS: 
2025-03-21T20:24:55.3606329Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:55.3608163Z 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"
2025-03-21T20:24:55.3609939Z -- Generating kernel bindings:
2025-03-21T20:24:55.3610385Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:55.3611058Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:24:55.3611706Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:55.3612099Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:24:55.3614631Z 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
2025-03-21T20:24:55.3616886Z -- Generating operator lib:
2025-03-21T20:24:55.3617568Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:55.3618157Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:24:55.3618707Z --   DEPS: executorch
2025-03-21T20:24:55.3619515Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:24:55.3620541Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:55.3621161Z   CMake.
2025-03-21T20:24:55.3621344Z 
2025-03-21T20:24:55.3621750Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:55.3622554Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:55.3623252Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:55.3623618Z 
2025-03-21T20:24:55.3623810Z 
2025-03-21T20:24:55.3624124Z -- Looking for C++ include unistd.h
2025-03-21T20:24:55.3624590Z -- Looking for C++ include unistd.h - found
2025-03-21T20:24:55.3625072Z -- Looking for C++ include stdint.h
2025-03-21T20:24:55.3625646Z -- Looking for C++ include stdint.h - found
2025-03-21T20:24:55.3626134Z -- Looking for C++ include inttypes.h
2025-03-21T20:24:55.3626608Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:24:55.3627101Z -- Looking for C++ include sys/types.h
2025-03-21T20:24:55.3627585Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:24:55.3628078Z -- Looking for C++ include sys/stat.h
2025-03-21T20:24:55.3628552Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:24:55.3629033Z -- Looking for C++ include fnmatch.h
2025-03-21T20:24:55.3629693Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:24:55.3630183Z -- Looking for C++ include stddef.h
2025-03-21T20:24:55.3630648Z -- Looking for C++ include stddef.h - found
2025-03-21T20:24:55.3631122Z -- Check size of uint32_t
2025-03-21T20:24:55.3631513Z -- Check size of uint32_t - done
2025-03-21T20:24:55.3631927Z -- Looking for strtoll
2025-03-21T20:24:55.3632304Z -- Looking for strtoll - found
2025-03-21T20:24:55.3632703Z -- 
2025-03-21T20:24:55.3633004Z -- ******** Summary ********
2025-03-21T20:24:55.3633419Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:24:55.3633889Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:24:55.3634352Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:24:55.3634826Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:24:55.3635738Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:24:55.3636672Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:24:55.3637380Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:24:55.3638107Z --   EXECUTORCH_ENABLE_LOGGING              : ON
2025-03-21T20:24:55.3638636Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON
2025-03-21T20:24:55.3639169Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:24:55.3639695Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:24:57.1041734Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:24:57.1042435Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:24:57.1042960Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:24:57.1043487Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:24:57.1044034Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:24:57.1044569Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:24:57.1045121Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:24:57.1045662Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:24:57.1046186Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:24:57.1046700Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:24:57.1047248Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:24:57.1047789Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:24:57.1048331Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:24:57.1049903Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:24:57.1050427Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:24:57.1050948Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:24:57.1051477Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:24:57.1052176Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:24:57.1052735Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:24:57.1053422Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:24:57.1053989Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:24:57.1054524Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:24:57.1055043Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:24:57.1055577Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:24:57.1056102Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:24:57.1056628Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:24:57.1057321Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:24:57.1057841Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:24:57.1058353Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:24:57.1058845Z -- Configuring done (5.3s)
2025-03-21T20:24:57.1059256Z -- Generating done (0.1s)
2025-03-21T20:24:57.1059795Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:24:57.1060417Z + cmake --build cmake-out -j4 --config Debug
2025-03-21T20:24:57.1061608Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:24:57.1062608Z [  1%] Creating directories for 'flatbuffers'
2025-03-21T20:24:57.1063756Z [  1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
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2025-03-21T20:24:57.1066091Z [  1%] No download step for 'flatbuffers'
2025-03-21T20:24:57.1066711Z [  1%] No update step for 'flatbuffers'
2025-03-21T20:24:57.1067315Z [  1%] No patch step for 'flatbuffers'
2025-03-21T20:24:57.1067997Z [  1%] Performing configure step for 'flatbuffers'
2025-03-21T20:24:57.1068593Z CMake Warning:
2025-03-21T20:24:57.1069040Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:24:57.1069431Z 
2025-03-21T20:24:57.1069618Z 
2025-03-21T20:24:57.1069979Z fatal: No names found, cannot describe anything.
2025-03-21T20:24:57.1070644Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:24:57.1071190Z   git describe failed with exit code: 128
2025-03-21T20:24:57.1071506Z 
2025-03-21T20:24:57.1071770Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:24:57.1072321Z Call Stack (most recent call first):
2025-03-21T20:24:57.1072773Z   CMakeLists.txt:5 (include)
2025-03-21T20:24:57.1073055Z 
2025-03-21T20:24:57.1073223Z 
2025-03-21T20:24:57.1073556Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:24:57.1074046Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:24:57.1075164Z [  1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
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2025-03-21T20:24:57.1083596Z -- Detecting CXX compiler ABI info - done
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2025-03-21T20:24:57.1085763Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:24:57.1086372Z -- Detecting CXX compile features
2025-03-21T20:24:57.1086938Z -- Detecting CXX compile features - done
2025-03-21T20:24:57.1087492Z -- Looking for strtof_l
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2025-03-21T20:24:57.1100233Z -- Looking for strtoull_l - found
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2025-03-21T20:25:04.0405245Z [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_div.cpp.o
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2025-03-21T20:25:04.0408982Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_fft_r2c.cpp.o
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2025-03-21T20:25:04.0411901Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:25:04.0413096Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:25:04.0414538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:25:04.0415467Z                  from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:25:04.0418354Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:25:04.0422324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0424385Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:25:04.0425127Z       |                                                             ^
2025-03-21T20:25:04.0426070Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-03-21T20:25:04.0427374Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:25:04.0428928Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:25:04.0430461Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:25:04.0431739Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:25:04.0432977Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:25:04.0434374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:25:04.0435798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:25:04.0436978Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:25:04.0437971Z                  from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:25:04.0440507Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:25:04.0444245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0446288Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:25:04.0446905Z       |                                                             ^
2025-03-21T20:25:04.0447946Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:25:04.0449382Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_neg.cpp.o
2025-03-21T20:25:04.0450501Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:25:04.0453776Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:25:04.0460886Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.0464575Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.0466609Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0468233Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:25:04.0468776Z       | ^~~~~~~~~~~~~~
2025-03-21T20:25:04.0471629Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:25:04.0477527Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.0481170Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.0483184Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0487294Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:25:04.0492529Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:25:04.0498530Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.0502315Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.0504441Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0506044Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:25:04.0506649Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:25:04.0509685Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:25:04.0514962Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:25:04.0520840Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.0524456Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.0526440Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0527856Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:25:04.0528391Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:25:04.0529026Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:25:04.0530672Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:25:04.0531578Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:25:04.0532502Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:25:04.0536296Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = double; typename std::decay<_Tp2>::type = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = double; typename std::decay<_Tp>::type = double]’:
2025-03-21T20:25:04.0541840Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:25:04.0547465Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:25:04.0553421Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.0557194Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.0558936Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.0560114Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:25:04.0560552Z       |     ^~~~~~~~~
2025-03-21T20:25:04.0563926Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = float; typename std::decay<_Tp2>::type = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = float; typename std::decay<_Tp>::type = float]’:
2025-03-21T20:25:04.0569558Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:25:04.0574618Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:25:04.5250425Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:25:04.5254161Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:25:04.5255900Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5260096Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:25:04.5263953Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5265424Z    83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:25:04.5266013Z       |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:25:04.5269034Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:25:04.5272924Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5276866Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:25:04.5280750Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5282069Z    27 | void layer_norm(
2025-03-21T20:25:04.5282429Z       |      ^~~~~~~~~~
2025-03-21T20:25:04.5285326Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:25:04.5289018Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5290717Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:25:04.5293358Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double]’:
2025-03-21T20:25:04.5296532Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5298004Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:25:04.5298576Z       | ^~~~~~~~~~~~~~
2025-03-21T20:25:04.5300822Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float]’:
2025-03-21T20:25:04.5304264Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5307796Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4]’:
2025-03-21T20:25:04.5311160Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5312777Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:25:04.5313362Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:25:04.5315817Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4]’:
2025-03-21T20:25:04.5319101Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5320500Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:25:04.5321032Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:25:04.5321687Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:25:04.5322542Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:25:04.5323432Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:25:04.5324335Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:25:04.5326624Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double]’:
2025-03-21T20:25:04.5329490Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:25:04.5330660Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:25:04.5331108Z       |     ^~~~~~~~~
2025-03-21T20:25:04.5333075Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float]’:
2025-03-21T20:25:04.5335687Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
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2025-03-21T20:25:28.2281005Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:25:43.2313511Z [ 97%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:25:43.2314774Z [ 98%] Linking CXX static library libportable_kernels.a
2025-03-21T20:25:43.2315620Z [ 98%] Linking CXX static library liboptimized_portable_kernels.a
2025-03-21T20:25:43.2316252Z [ 98%] Built target portable_kernels
2025-03-21T20:25:43.2316964Z [ 98%] Generating selected_operators.yaml for portable_ops_lib
2025-03-21T20:25:43.2317616Z [ 98%] Built target optimized_portable_kernels
2025-03-21T20:25:43.2318191Z [ 98%] Merging kernel yaml files
2025-03-21T20:25:43.2318837Z [ 98%] Generating code for kernel registration
2025-03-21T20:25:43.2319715Z [ 99%] Generating selected_operators.yaml for optimized_native_cpu_ops_lib
2025-03-21T20:25:43.2320581Z [ 99%] Generating code for kernel registration
2025-03-21T20:25:43.2321963Z [ 99%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:25:43.2323291Z [ 99%] Linking CXX static library libportable_ops_lib.a
2025-03-21T20:25:43.2323866Z [ 99%] Built target portable_ops_lib
2025-03-21T20:25:43.2325239Z [ 99%] Building CXX object configurations/CMakeFiles/optimized_native_cpu_ops_lib.dir/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:25:43.2326731Z [ 99%] Linking CXX static library liboptimized_native_cpu_ops_lib.a
2025-03-21T20:25:43.2327398Z [ 99%] Built target optimized_native_cpu_ops_lib
2025-03-21T20:25:43.2328819Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:25:43.2330657Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:25:43.2332145Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:25:43.2333443Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:25:43.2334888Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:25:43.2336310Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:25:43.2337358Z [100%] Linking CXX executable executor_runner
2025-03-21T20:25:43.2337888Z [100%] Built target executor_runner
2025-03-21T20:25:43.2338435Z + ./cmake-out/executor_runner --model_path ./mobilebert.pte
2025-03-21T20:25:43.2339402Z I 00:00:00.000771 executorch:cpuinfo_utils.cpp:62] Reading file /sys/devices/soc0/image_version
2025-03-21T20:25:43.2340429Z I 00:00:00.000814 executorch:cpuinfo_utils.cpp:78] Failed to open midr file /sys/devices/soc0/image_version
2025-03-21T20:25:43.2341609Z I 00:00:00.000826 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu0/regs/identification/midr_el1
2025-03-21T20:25:43.2342884Z I 00:00:00.000881 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu1/regs/identification/midr_el1
2025-03-21T20:25:43.2344148Z I 00:00:00.000906 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu2/regs/identification/midr_el1
2025-03-21T20:25:43.2345414Z I 00:00:00.000929 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu3/regs/identification/midr_el1
2025-03-21T20:25:43.2346670Z I 00:00:00.000952 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu4/regs/identification/midr_el1
2025-03-21T20:25:43.2347951Z I 00:00:00.000976 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu5/regs/identification/midr_el1
2025-03-21T20:25:43.2349221Z I 00:00:00.000997 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu6/regs/identification/midr_el1
2025-03-21T20:25:43.2350482Z I 00:00:00.001031 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu7/regs/identification/midr_el1
2025-03-21T20:25:43.2351604Z I 00:00:00.001055 executorch:executor_runner.cpp:142] Resetting threadpool with num threads = 8
2025-03-21T20:25:43.2352568Z I 00:00:00.038352 executorch:executor_runner.cpp:166] Model file ./mobilebert.pte is loaded.
2025-03-21T20:25:43.2353419Z I 00:00:00.038389 executorch:executor_runner.cpp:175] Using method forward
2025-03-21T20:25:43.2354266Z I 00:00:00.038406 executorch:executor_runner.cpp:226] Setting up planned buffer 0, size 819360.
2025-03-21T20:25:43.2355091Z I 00:00:00.050659 executorch:executor_runner.cpp:251] Method loaded.
2025-03-21T20:25:43.2356008Z I 00:00:03.888046 executorch:executor_runner.cpp:284] Model executed successfully 1 time(s) in 3837.337331 ms.
2025-03-21T20:25:43.2356894Z I 00:00:03.888085 executorch:executor_runner.cpp:293] 2 outputs: 
2025-03-21T20:25:43.2357453Z Output 0: tensor(sizes=[1, 8, 512], [
2025-03-21T20:25:43.2358174Z   -8.04063e+06, 73817.7, 39580.6, 8.44721e+06, 1.16934e+07, 31046., 1.4088e+06, 2.62795e+06, -6686.97, 13327.4, 
2025-03-21T20:25:43.2359208Z   -18270, -21104.8, 1.07667e+07, 1.1471e+07, 9.62158e+06, -4.05892e+06, -1.32446e+07, -3.60584e+06, -3.90556e+06, -5.01417e+06, 
2025-03-21T20:25:43.2360268Z   -3.44065e+06, 5.40373e+06, -4.37349e+06, -859942, 3.69021e+06, -6.16705e+06, -8961.29, 8.34354e+06, 329267, 34204.7, 
2025-03-21T20:25:43.2361321Z   3.34811e+06, 1.03225e+07, -23531.9, -2.13456e+06, 3.60471e+06, -82340.9, -104910., 5.15884e+06, -1.00987e+07, 103797., 
2025-03-21T20:25:43.2362351Z   -16011.8, 7.35191e+06, -228710, 653.252, -1.2329e+07, -7.83827e+06, 1.4845e+07, -14879.1, -1.21568e+07, 5.81313e+06, 
2025-03-21T20:25:43.2363626Z   -1.19826e+07, 4.11037e+06, 9443.78, 1.95942e+06, -1.1759e+07, -3.0025e+06, 419986., -1.66871e+07, 3.57005e+06, 6610.74, 
2025-03-21T20:25:43.2364642Z   7.24055e+06, -1.4843e+06, -2.93926e+06, -3.77938e+06, 3.76986e+06, -27537.4, 71810.1, -30207.7, 319731., 28409.6, 
2025-03-21T20:25:43.2365705Z   -98149.9, 8.08642e+06, -9452.44, -2.07851e+06, 862147., -96925.5, 31065.9, 1.04072e+07, 38882.5, 1893.18, 
2025-03-21T20:25:43.2366780Z   608001, -5.13171e+06, 1.09676e+07, -61438.5, -6.4397e+06, 1.13119e+07, -1.16547e+07, 2.25242e+07, -3.69443e+06, 25833., 
2025-03-21T20:25:43.2367854Z   82340.5, -2.13427e+06, 7.05564e+06, -1.23217e+06, -6.49281e+06, -30372.4, 18572.4, 38821.4, 7.24481e+06, 2.70737e+06, 
2025-03-21T20:25:43.2368574Z   ...,
2025-03-21T20:25:43.2369193Z   -2.04091, -0.0269732, -3.50278, 4.56629, -12.4158, 0.841201, 1.56635, 1.88019, 2.63148, -0.731193, 
2025-03-21T20:25:43.2370191Z   1.35166, -3.29165, 1.35303, -0.371241, 0.123443, -0.0766734, 0.687895, 0.271107, -0.318357, -2.06791, 
2025-03-21T20:25:43.2371165Z   0.719029, -1.43868, 1.39588, -3.63191, 1.55581, -1.07426, 2.68574, -1.24464, 2.62911, 1.30281, 
2025-03-21T20:25:43.2372035Z   0.688327, -2.90324, -1.80347, -0.0139127, -0.427369, -0.626453, -0.204643, 2.60153, -0.151345, -0.489225, 
2025-03-21T20:25:43.2372951Z   -0.156975, 3.47602, -0.194441, -3.69194, 1.54671, -0.578663, -1.38772, -0.982899, -5.51837, 0.0396558, 
2025-03-21T20:25:43.2373842Z   -2.57695, -0.248994, 1.26029, -0.345585, 1.07488, 0.0731829, 0.941989, 0.519355, -3.89253, -0.739479, 
2025-03-21T20:25:43.2374679Z   -1.30038, -3.43775, 2.90029, -0.739319, 2.56891, -2.29797, 1.8846, 1.98491, 1.79544, 3.0327, 
2025-03-21T20:25:43.2375485Z   -1.94264, -0.266469, -1.62219, 1.10759, -1.36499, 2.67002, 1.57253, 1.98985, 2.75614, 2.54758, 
2025-03-21T20:25:43.2376311Z   0.467583, 1.54399, -1.20353, -3.0611, -2.8436, -0.563475, 3.49944, 0.194819, -2.59768, 0.0629089, 
2025-03-21T20:25:43.2377146Z   -1.45235, 0.295453, 1.04722, -3.62876, 2.33653, 1.70569, 6.59787, 0.39912, -1.70395, 2.57921, 
2025-03-21T20:25:43.2377814Z ])
2025-03-21T20:25:43.2378141Z Output 1: tensor(sizes=[1, 512], [
2025-03-21T20:25:43.2378830Z   -8.04063e+06, 73817.7, 39580.6, 8.44721e+06, 1.16934e+07, 31046., 1.4088e+06, 2.62795e+06, -6686.97, 13327.4, 
2025-03-21T20:25:43.2379863Z   -18270, -21104.8, 1.07667e+07, 1.1471e+07, 9.62158e+06, -4.05892e+06, -1.32446e+07, -3.60584e+06, -3.90556e+06, -5.01417e+06, 
2025-03-21T20:25:43.2380932Z   -3.44065e+06, 5.40373e+06, -4.37349e+06, -859942, 3.69021e+06, -6.16705e+06, -8961.29, 8.34354e+06, 329267, 34204.7, 
2025-03-21T20:25:43.2381965Z   3.34811e+06, 1.03225e+07, -23531.9, -2.13456e+06, 3.60471e+06, -82340.9, -104910., 5.15884e+06, -1.00987e+07, 103797., 
2025-03-21T20:25:43.2382989Z   -16011.8, 7.35191e+06, -228710, 653.252, -1.2329e+07, -7.83827e+06, 1.4845e+07, -14879.1, -1.21568e+07, 5.81313e+06, 
2025-03-21T20:25:43.2384018Z   -1.19826e+07, 4.11037e+06, 9443.78, 1.95942e+06, -1.1759e+07, -3.0025e+06, 419986., -1.66871e+07, 3.57005e+06, 6610.74, 
2025-03-21T20:25:43.2385047Z   7.24055e+06, -1.4843e+06, -2.93926e+06, -3.77938e+06, 3.76986e+06, -27537.4, 71810.1, -30207.7, 319731., 28409.6, 
2025-03-21T20:25:43.2386015Z   -98149.9, 8.08642e+06, -9452.44, -2.07851e+06, 862147., -96925.5, 31065.9, 1.04072e+07, 38882.5, 1893.18, 
2025-03-21T20:25:43.2387014Z   608001, -5.13171e+06, 1.09676e+07, -61438.5, -6.4397e+06, 1.13119e+07, -1.16547e+07, 2.25242e+07, -3.69443e+06, 25833., 
2025-03-21T20:25:43.2388060Z   82340.5, -2.13427e+06, 7.05564e+06, -1.23217e+06, -6.49281e+06, -30372.4, 18572.4, 38821.4, 7.24481e+06, 2.70737e+06, 
2025-03-21T20:25:43.2388773Z   ...,
2025-03-21T20:25:43.2389412Z   -1.17079e+07, 3.56635e+06, 512017., -12417.8, 2.59337e+06, -3.50713e+06, 4.91883e+06, 1.0917e+07, -5.25693e+06, -8.2413e+06, 
2025-03-21T20:25:43.2390490Z   -1.21154e+07, 791907., -7.65075e+06, -5.69419e+06, -2.30924e+06, 5252.59, -6.93646e+06, 51504, -1.73419e+06, 6.76876e+06, 
2025-03-21T20:25:43.2391695Z   -492362, 3.90896e+06, 211520., -5.03694e+06, 53832.9, 46086.4, -16586.9, 4.04013e+06, 3.22561e+06, 662422, 
2025-03-21T20:25:43.2392596Z   27975.2, 78358.4, 45529.3, -5984.09, 20866.4, -13112.9, 858638, -71000.5, 144631, 640.135, 
2025-03-21T20:25:43.2393566Z   -106839, 184201, -1.05729e+07, 20964.3, 47561.9, -6.13586e+06, 1.20768e+06, 30882, 5.7133e+06, -6.77475e+06, 
2025-03-21T20:25:43.2394520Z   -21285.1, -185622, -6883.66, 126160, -5.21636e+06, 855192, 47515.5, -113008., -3.79479e+06, -71065.4, 
2025-03-21T20:25:43.2395507Z   56921.2, -1198.15, -8.28056e+06, -1.07964e+07, 384574., -241525., 20206.5, 598121., -16450.6, 2.26074e+07, 
2025-03-21T20:25:43.2424392Z   -4.09321e+06, 4779.5, 3792.68, 241857., 4.40521e+06, 5.03534e+06, 15445.1, 2.68567e+06, -60962.9, 6.69101e+06, 
2025-03-21T20:25:43.2425441Z   -2.13933e+06, -12090.8, 1.23758e+07, 4.77719e+06, -3.44859e+06, 2.52404e+06, -8.40956e+06, -44314.7, 213042, 39743.5, 
2025-03-21T20:25:43.2426438Z   1.17133e+07, 2.50066e+06, -35695.5, -230147., -764586., 5055.62, -3.6949e+06, -642406., 449102., 8555.08, 
2025-03-21T20:25:43.2427397Z ])
2025-03-21T20:25:43.2584955Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:25:43.2585581Z with:
2025-03-21T20:25:43.2586024Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:43.2586583Z   fail-on-empty: false
2025-03-21T20:25:43.2586928Z env:
2025-03-21T20:25:43.2587313Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:43.2587847Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:43.2588256Z   PR_NUMBER: 
2025-03-21T20:25:43.2590588Z   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}"

2025-03-21T20:25:43.2593299Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:43.2594133Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:43.2594905Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:43.2595454Z ##[endgroup]
2025-03-21T20:25:43.3359388Z Prepare all required actions
2025-03-21T20:25:43.3415832Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:25:43.3416366Z with:
2025-03-21T20:25:43.3416869Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:25:43.3417502Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:25:43.3417896Z env:
2025-03-21T20:25:43.3418286Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:43.3418832Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:43.3419236Z   PR_NUMBER: 
2025-03-21T20:25:43.3421667Z   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}"

2025-03-21T20:25:43.3424318Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:43.3425152Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:43.3425920Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:43.3426473Z ##[endgroup]
2025-03-21T20:25:43.3463245Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:43.3464242Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:43.3475735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:43.3476310Z env:
2025-03-21T20:25:43.3476719Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:43.3477267Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:43.3477687Z   PR_NUMBER: 
2025-03-21T20:25:43.3480043Z   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}"

2025-03-21T20:25:43.3482691Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:43.3483522Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:43.3484591Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:43.3485175Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:25:43.3485752Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:25:43.3486360Z ##[endgroup]
2025-03-21T20:25:43.3702978Z Unable to find image 'arm64v8/alpine:latest' locally
2025-03-21T20:25:43.5563644Z latest: Pulling from arm64v8/alpine
2025-03-21T20:25:43.6137242Z 6e771e15690e: Pulling fs layer
2025-03-21T20:25:43.6886391Z 6e771e15690e: Verifying Checksum
2025-03-21T20:25:43.6886915Z 6e771e15690e: Download complete
2025-03-21T20:25:43.8183108Z 6e771e15690e: Pull complete
2025-03-21T20:25:43.8328803Z Digest: sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:25:43.8372293Z Status: Downloaded newer image for arm64v8/alpine:latest
2025-03-21T20:25:46.6828286Z Prepare all required actions
2025-03-21T20:25:46.6869376Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:25:46.6869934Z with:
2025-03-21T20:25:46.6870339Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:25:46.6870865Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:25:46.6871253Z env:
2025-03-21T20:25:46.6871634Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:46.6872168Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:46.6872575Z   PR_NUMBER: 
2025-03-21T20:25:46.6874959Z   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}"

2025-03-21T20:25:46.6877598Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:46.6878450Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:46.6879232Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:46.6879794Z ##[endgroup]
2025-03-21T20:25:46.6910802Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:46.6911803Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:46.6922035Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:46.6922570Z env:
2025-03-21T20:25:46.6922975Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:46.6923523Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:46.6923933Z   PR_NUMBER: 
2025-03-21T20:25:46.6926298Z   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}"

2025-03-21T20:25:46.6929228Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:46.6930761Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:46.6931546Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:46.6932120Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:25:46.6932594Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:25:46.6933092Z ##[endgroup]
2025-03-21T20:25:47.4850143Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:25:47.4851060Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:25:47.4851726Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:25:47.4852931Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:25:47.4853810Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:25:47.4854513Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:25:47.4855120Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:25:47.4855592Z   fi
2025-03-21T20:25:47.4855989Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:25:47.4856626Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:25:47.4857190Z   fi
2025-03-21T20:25:47.4857553Z fi
2025-03-21T20:25:47.4857883Z 
2025-03-21T20:25:47.4858210Z upload_docs=0
2025-03-21T20:25:47.4858797Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:25:47.4859460Z # empty folders do not count
2025-03-21T20:25:47.4860127Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:25:47.4860976Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:25:47.4861683Z   # upload will probably not work correctly
2025-03-21T20:25:47.4862186Z   upload_docs=1
2025-03-21T20:25:47.4862558Z fi
2025-03-21T20:25:47.4863015Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:25:47.4870810Z shell: /usr/bin/bash -e {0}
2025-03-21T20:25:47.4871215Z env:
2025-03-21T20:25:47.4871615Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:47.4872176Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:47.4872590Z   PR_NUMBER: 
2025-03-21T20:25:47.4874931Z   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}"

2025-03-21T20:25:47.4877576Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:47.4878415Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:47.4879192Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:47.4879769Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:25:47.4880142Z ##[endgroup]
2025-03-21T20:25:47.4997292Z Prepare all required actions
2025-03-21T20:25:47.5045748Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:25:47.5046283Z with:
2025-03-21T20:25:47.5046581Z env:
2025-03-21T20:25:47.5046973Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:47.5047508Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:47.5048166Z   PR_NUMBER: 
2025-03-21T20:25:47.5050918Z   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}"

2025-03-21T20:25:47.5053559Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:47.5054450Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:47.5055258Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:47.5055806Z ##[endgroup]
2025-03-21T20:25:47.5111731Z ##[group]Run set -eou pipefail
2025-03-21T20:25:47.5112211Z set -eou pipefail
2025-03-21T20:25:47.5112622Z 
2025-03-21T20:25:47.5113377Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:25:47.5114031Z for _ in $(seq 1440); do
2025-03-21T20:25:47.5114501Z     # Break if no ssh session exists anymore
2025-03-21T20:25:47.5115000Z     if [ "$(who)" = "" ]; then
2025-03-21T20:25:47.5115428Z       break
2025-03-21T20:25:47.5115767Z     fi
2025-03-21T20:25:47.5116091Z     echo "."
2025-03-21T20:25:47.5116448Z     sleep 5
2025-03-21T20:25:47.5116793Z done
2025-03-21T20:25:47.5124509Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:47.5125051Z env:
2025-03-21T20:25:47.5125459Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:47.5126002Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:47.5126416Z   PR_NUMBER: 
2025-03-21T20:25:47.5128749Z   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}"

2025-03-21T20:25:47.5131951Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:47.5132784Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:47.5133564Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:47.5134119Z ##[endgroup]
2025-03-21T20:25:47.5165288Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:25:47.5234476Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:25:47.5235296Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:25:47.5235939Z # shellcheck disable=SC2046
2025-03-21T20:25:47.5236414Z docker stop $(docker ps -q) || true
2025-03-21T20:25:47.5236920Z # Prune all of the docker images
2025-03-21T20:25:47.5237397Z docker system prune -af
2025-03-21T20:25:47.5244978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:47.5245521Z env:
2025-03-21T20:25:47.5245923Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:25:47.5246460Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:47.5246876Z   PR_NUMBER: 
2025-03-21T20:25:47.5249849Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:25:47.5252700Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:47.5253540Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:47.5254324Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:47.5254884Z ##[endgroup]
2025-03-21T20:25:58.1085019Z a3eb64b2fe7b
2025-03-21T20:25:58.3905080Z Deleted Containers:
2025-03-21T20:25:58.3905725Z a3eb64b2fe7b922be4faf5b51f7f665438de04a35ee3f8652324a126ed488eb7
2025-03-21T20:25:58.3906206Z 
2025-03-21T20:26:02.3096546Z Deleted Images:
2025-03-21T20:26:02.3097677Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:26:02.3099557Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64@sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:26:02.3101352Z deleted: sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4
2025-03-21T20:26:02.3102275Z deleted: sha256:09f32a7b4424aa2d53cb6746ad96c97d11402e32508800950db7d805db59fef5
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2025-03-21T20:26:02.3125453Z deleted: sha256:e2d20ee2e6f5b13148c5bc7438ac3b99d0fbe7361983ace57d7f6c9a53ebb4a1
2025-03-21T20:26:02.3126368Z deleted: sha256:8d51221c5d0b80fef480318f9648620d0485d4bdeaa8a4bb71dad958ffa6f790
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2025-03-21T20:26:02.3135893Z untagged: arm64v8/alpine:latest
2025-03-21T20:26:02.3136654Z untagged: arm64v8/alpine@sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:26:02.3137696Z deleted: sha256:8d591b0b7dea080ea3be9e12ae563eebf9869168ffced1cb25b2470a3d9fe15e
2025-03-21T20:26:02.3138612Z deleted: sha256:a16e98724c05975ee8c40d8fe389c3481373d34ab20a1cf52ea2accc43f71f4c
2025-03-21T20:26:02.3139156Z 
2025-03-21T20:26:02.3139325Z Total reclaimed space: 5.688GB
2025-03-21T20:26:02.3186581Z ##[group]Run set +e
2025-03-21T20:26:02.3187056Z set +e
2025-03-21T20:26:02.3187432Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:26:02.3188007Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:26:02.3188524Z else
2025-03-21T20:26:02.3188929Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:26:02.3189413Z fi
2025-03-21T20:26:02.3189727Z set -e
2025-03-21T20:26:02.3198504Z shell: /usr/bin/bash -e {0}
2025-03-21T20:26:02.3198944Z env:
2025-03-21T20:26:02.3199351Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:26:02.3199897Z   REPOSITORY: pytorch/executorch
2025-03-21T20:26:02.3200301Z   PR_NUMBER: 
2025-03-21T20:26:02.3202701Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(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}"

2025-03-21T20:26:02.3205371Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:26:02.3206203Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:26:02.3206979Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:26:02.3207551Z   NO_SUDO: false
2025-03-21T20:26:02.3207875Z ##[endgroup]
2025-03-21T20:26:03.7215815Z Post job cleanup.
2025-03-21T20:26:03.8603426Z Post job cleanup.
2025-03-21T20:26:03.9900192Z [command]/usr/bin/git version
2025-03-21T20:26:03.9961505Z git version 2.47.1
2025-03-21T20:26:04.0031093Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/30d269dd-8741-4f90-b0f2-0c84a99b8502' before making global git config changes
2025-03-21T20:26:04.0032468Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:26:04.0041834Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:26:04.0098985Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:26:04.0162845Z [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' || :"
2025-03-21T20:26:04.0544609Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:26:04.0573592Z http.https://github.com/.extraheader
2025-03-21T20:26:04.0593485Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:26:04.0635706Z [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' || :"
2025-03-21T20:26:04.1117039Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:26:04.1148752Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:26:04.1156007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:26:04.1156578Z ##[endgroup]
2025-03-21T20:26:04.1266034Z [!ALERT!] Swap in detected! [!ALERT!]
2025-03-21T20:26:20.9274022Z [!ALERT!] Swap out detected [!ALERT!]
2025-03-21T20:26:45.6362260Z Cleaning up orphan processes