2025-03-21T20:17:32.6403173Z Current runner version: '2.322.0'
2025-03-21T20:17:32.6415948Z Runner name: 'i-006e5c3ac20210fad'
2025-03-21T20:17:32.6417745Z Runner group name: 'Default'
2025-03-21T20:17:32.6419593Z Machine name: 'ip-10-0-41-19'
2025-03-21T20:17:32.6425535Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:32.6430240Z Contents: read
2025-03-21T20:17:32.6431568Z Metadata: read
2025-03-21T20:17:32.6432624Z ##[endgroup]
2025-03-21T20:17:32.6438138Z Secret source: Actions
2025-03-21T20:17:32.6439828Z Prepare workflow directory
2025-03-21T20:17:33.2016011Z Prepare all required actions
2025-03-21T20:17:33.2080997Z Getting action download info
2025-03-21T20:17:33.4377384Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:33.7265176Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:17:48.3280764Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:17:48.6777256Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:17:48.7882510Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:17:49.2040516Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:17:49.5036130Z Getting action download info
2025-03-21T20:17:49.6740217Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:17:49.6743417Z ##[group] Inputs
2025-03-21T20:17:49.6746093Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:17:49.6749527Z   timeout: 90
2025-03-21T20:17:49.6749924Z   runner: linux.arm64.2xlarge
2025-03-21T20:17:49.6750361Z   upload-artifact: 
2025-03-21T20:17:49.6751244Z   upload-artifact-to-s3: false
2025-03-21T20:17:49.6751703Z   download-artifact: 
2025-03-21T20:17:49.6752073Z   repository: 
2025-03-21T20:17:49.6752471Z   fetch-depth: 1
2025-03-21T20:17:49.6752861Z   submodules: true
2025-03-21T20:17:49.6753334Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:17:49.6753912Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:17:49.6754397Z   test-infra-ref: 
2025-03-21T20:17:49.6754851Z   docker-image: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:49.6755411Z   docker-build-dir: .ci/docker
2025-03-21T20:17:49.6755843Z   gpu-arch-type: cpu
2025-03-21T20:17:49.6756221Z   gpu-arch-version: 
2025-03-21T20:17:49.6756618Z   job-name: linux-job
2025-03-21T20:17:49.6757026Z   continue-on-error: false
2025-03-21T20:17:49.6757450Z   binary-matrix: 
2025-03-21T20:17:49.6757853Z   run-with-docker: true
2025-03-21T20:17:49.6758233Z   secrets-env: 
2025-03-21T20:17:49.6758573Z   no-sudo: false
2025-03-21T20:17:49.6758959Z ##[endgroup]
2025-03-21T20:17:49.6759576Z Complete job name: test-models-linux-aarch64 (emformer_transcribe, portable) / linux-job
2025-03-21T20:17:49.7486529Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:17:49.7653813Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:17:49.7667564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:17:49.7668601Z ##[endgroup]
2025-03-21T20:17:51.2780913Z Runner Type: linux.arm64.2xlarge
2025-03-21T20:17:51.2781561Z Instance Type: t4g.2xlarge
2025-03-21T20:17:51.2781970Z AMI Name: unknown
2025-03-21T20:17:51.2816652Z AMI ID: ami-0eae2a0fc13b15fce
2025-03-21T20:17:59.5017166Z ##[group]Run set -euxo pipefail
2025-03-21T20:17:59.5018249Z set -euxo pipefail
2025-03-21T20:17:59.5018712Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:17:59.5019274Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:17:59.5019835Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:17:59.5020292Z else
2025-03-21T20:17:59.5020702Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:17:59.5021238Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:17:59.5021697Z fi
2025-03-21T20:17:59.5022018Z 
2025-03-21T20:17:59.5022396Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:17:59.5022869Z echo "::endgroup::"
2025-03-21T20:17:59.5035036Z shell: /usr/bin/bash -e {0}
2025-03-21T20:17:59.5035483Z env:
2025-03-21T20:17:59.5035900Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:59.5036493Z   REPOSITORY: pytorch/executorch
2025-03-21T20:17:59.5037027Z   PR_NUMBER: 
2025-03-21T20:17:59.5039544Z   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=emformer_transcribe
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}"

2025-03-21T20:17:59.5042152Z   NO_SUDO: false
2025-03-21T20:17:59.5042494Z ##[endgroup]
2025-03-21T20:17:59.5079972Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:17:59.5102184Z ##[group]Cleanup with-sudo debug output
2025-03-21T20:17:59.5107204Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:17:59.5107946Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
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2025-03-21T20:17:59.7467722Z + echo ::endgroup::
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2025-03-21T20:17:59.8716113Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoCcBot.test.ts'
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2025-03-21T20:17:59.8717362Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoLabelCodevTrunk.test.ts'
2025-03-21T20:17:59.8718073Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts'
2025-03-21T20:17:59.8718718Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/ciflow-push-trigger.test.ts'
2025-03-21T20:17:59.8719318Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/closeCommands.test.ts'
2025-03-21T20:17:59.8719953Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/codevNoWritePermBot.test.ts'
2025-03-21T20:17:59.8720466Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/common.ts'
2025-03-21T20:17:59.8721085Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/disableFlakyBot.test.ts'
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2025-03-21T20:17:59.8722747Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/drciUtils.test.ts'
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2025-03-21T20:17:59.8726494Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/known_labels.json'
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2025-03-21T20:17:59.8736717Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
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2025-03-21T20:17:59.8738316Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.unlabeled.json'
2025-03-21T20:17:59.8738984Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
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2025-03-21T20:17:59.8744092Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/labelCommands.test.ts'
2025-03-21T20:17:59.8744702Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
2025-03-21T20:17:59.8745295Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/metricUtils.test.ts'
2025-03-21T20:17:59.8745827Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/reporter.js'
2025-03-21T20:17:59.8746389Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/retryBot.test.ts'
2025-03-21T20:17:59.8746979Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:17:59.8747483Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:17:59.8748344Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:17:59.8748981Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:17:59.8749775Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:17:59.8750450Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:17:59.8750998Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
2025-03-21T20:17:59.8751501Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.ts'
2025-03-21T20:17:59.8752168Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2025-03-21T20:17:59.8752810Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/wehookToDynamoBot.test.ts'
2025-03-21T20:17:59.8753318Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:17:59.8753836Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
2025-03-21T20:17:59.8754394Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types/next-auth-d.ts'
2025-03-21T20:17:59.8754918Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:17:59.8755393Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:17:59.8755876Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:17:59.8756305Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:17:59.8756726Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:17:59.8757105Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:17:59.8758075Z ##[endgroup]
2025-03-21T20:17:59.8909301Z ##[group]Run actions/checkout@v4
2025-03-21T20:17:59.8909510Z with:
2025-03-21T20:17:59.8909780Z   repository: pytorch/test-infra
2025-03-21T20:17:59.8909941Z   path: test-infra
2025-03-21T20:17:59.8910096Z   submodules: recursive
2025-03-21T20:17:59.8910506Z   token: ***
2025-03-21T20:17:59.8910658Z   ssh-strict: true
2025-03-21T20:17:59.8910804Z   ssh-user: git
2025-03-21T20:17:59.8910970Z   persist-credentials: true
2025-03-21T20:17:59.8911109Z   clean: true
2025-03-21T20:17:59.8911298Z   sparse-checkout-cone-mode: true
2025-03-21T20:17:59.8911444Z   fetch-depth: 1
2025-03-21T20:17:59.8911605Z   fetch-tags: false
2025-03-21T20:17:59.8911760Z   show-progress: true
2025-03-21T20:17:59.8911906Z   lfs: false
2025-03-21T20:17:59.8912076Z   set-safe-directory: true
2025-03-21T20:17:59.8912215Z env:
2025-03-21T20:17:59.8912464Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:59.8912636Z   REPOSITORY: pytorch/executorch
2025-03-21T20:17:59.8912814Z   PR_NUMBER: 
2025-03-21T20:17:59.8915139Z   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=emformer_transcribe
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}"

2025-03-21T20:17:59.8915343Z ##[endgroup]
2025-03-21T20:18:00.0900327Z Syncing repository: pytorch/test-infra
2025-03-21T20:18:00.0901675Z ##[group]Getting Git version info
2025-03-21T20:18:00.0902510Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:00.0904093Z [command]/usr/bin/git version
2025-03-21T20:18:00.0904627Z git version 2.47.1
2025-03-21T20:18:00.0957533Z ##[endgroup]
2025-03-21T20:18:00.1022902Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bf12bb60-cde3-4c52-8e9c-3f37f87369c6' before making global git config changes
2025-03-21T20:18:00.1024328Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:00.1095630Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:00.1219684Z ##[group]Initializing the repository
2025-03-21T20:18:00.1318619Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:00.1487160Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:00.1491751Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:00.1495887Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:00.1499172Z hint:
2025-03-21T20:18:00.1502570Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:00.1582494Z hint:
2025-03-21T20:18:00.1583267Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:00.1584148Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:00.1584801Z hint:
2025-03-21T20:18:00.1585215Z hint: 	git branch -m <name>
2025-03-21T20:18:00.1586052Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:18:00.1588016Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:18:00.1742084Z ##[endgroup]
2025-03-21T20:18:00.1743391Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:00.1821413Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:00.2056233Z ##[endgroup]
2025-03-21T20:18:00.2057185Z ##[group]Setting up auth
2025-03-21T20:18:00.2062553Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:00.2155205Z [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' || :"
2025-03-21T20:18:00.3001944Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:00.3119403Z [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' || :"
2025-03-21T20:18:00.4057681Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:00.4124850Z ##[endgroup]
2025-03-21T20:18:00.4128805Z ##[group]Determining the default branch
2025-03-21T20:18:00.4133113Z Retrieving the default branch name
2025-03-21T20:18:00.6648328Z Default branch 'main'
2025-03-21T20:18:00.6649497Z ##[endgroup]
2025-03-21T20:18:00.6650137Z ##[group]Fetching the repository
2025-03-21T20:18:00.6657467Z [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
2025-03-21T20:18:01.0258586Z From https://github.com/pytorch/test-infra
2025-03-21T20:18:01.0259317Z  * [new branch]      main       -> origin/main
2025-03-21T20:18:01.0293350Z ##[endgroup]
2025-03-21T20:18:01.0293997Z ##[group]Determining the checkout info
2025-03-21T20:18:01.0295502Z ##[endgroup]
2025-03-21T20:18:01.0302490Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:01.0366821Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:01.0420494Z ##[group]Checking out the ref
2025-03-21T20:18:01.0426160Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:18:01.1416273Z Switched to a new branch 'main'
2025-03-21T20:18:01.1416857Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:18:01.1427425Z ##[endgroup]
2025-03-21T20:18:01.1428267Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:01.1435623Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:01.1512351Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:01.1580114Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:01.1641352Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:01.1692748Z ##[endgroup]
2025-03-21T20:18:01.1693380Z ##[group]Fetching submodules
2025-03-21T20:18:01.1699308Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:18:01.2152170Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:18:01.2572133Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:18:01.2969604Z ##[endgroup]
2025-03-21T20:18:01.2970312Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:01.2978272Z [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' || :"
2025-03-21T20:18:01.3374972Z [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"
2025-03-21T20:18:01.3765997Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:01.4141451Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:01.4506740Z ##[endgroup]
2025-03-21T20:18:01.4568546Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:01.4610248Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:01.4912489Z Prepare all required actions
2025-03-21T20:18:01.4913454Z Getting action download info
2025-03-21T20:18:01.6087820Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:03.1692711Z Getting action download info
2025-03-21T20:18:03.2595858Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:03.4367943Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:03.4368456Z env:
2025-03-21T20:18:03.4368878Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.4369417Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.4369833Z   PR_NUMBER: 
2025-03-21T20:18:03.4372458Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:03.4374961Z ##[endgroup]
2025-03-21T20:18:03.4505303Z ##[group]Run set -euo pipefail
2025-03-21T20:18:03.4505832Z set -euo pipefail
2025-03-21T20:18:03.4506266Z function get_ec2_metadata() {
2025-03-21T20:18:03.4506805Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:03.4507700Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:03.4508494Z   category=$1
2025-03-21T20:18:03.4509715Z   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}"
2025-03-21T20:18:03.4511431Z }
2025-03-21T20:18:03.4511817Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:03.4512418Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:03.4513087Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:03.4513681Z echo "system info $(uname -a)"
2025-03-21T20:18:03.4521349Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.4521885Z env:
2025-03-21T20:18:03.4522292Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.4522839Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.4523247Z   PR_NUMBER: 
2025-03-21T20:18:03.4525646Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:03.4528141Z ##[endgroup]
2025-03-21T20:18:03.4698941Z ami-id: ami-0eae2a0fc13b15fce
2025-03-21T20:18:03.4901697Z instance-id: i-006e5c3ac20210fad
2025-03-21T20:18:03.5032691Z instance-type: t4g.2xlarge
2025-03-21T20:18:03.5049890Z system info Linux ip-10-0-41-19.ec2.internal 6.1.129-138.220.amzn2023.aarch64 #1 SMP Tue Feb 25 22:18:13 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux
2025-03-21T20:18:03.5101399Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:03.5102721Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:03.5111251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.5111836Z env:
2025-03-21T20:18:03.5112671Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.5113267Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.5113690Z   PR_NUMBER: 
2025-03-21T20:18:03.5116078Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:03.5118730Z ##[endgroup]
2025-03-21T20:18:03.5229633Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:03.5230345Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:03.5230956Z     echo "Docker daemon is running...";
2025-03-21T20:18:03.5231467Z else
2025-03-21T20:18:03.5232000Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:03.5232610Z fi
2025-03-21T20:18:03.5240630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.5241175Z env:
2025-03-21T20:18:03.5241576Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.5242121Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.5242543Z   PR_NUMBER: 
2025-03-21T20:18:03.5244928Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:03.5247908Z ##[endgroup]
2025-03-21T20:18:03.5343765Z Docker daemon is running...
2025-03-21T20:18:03.5384926Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:03.5385856Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:03.5386587Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:03.5387450Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:03.5388461Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:03.5396431Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.5396986Z env:
2025-03-21T20:18:03.5397403Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.5397953Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.5398369Z   PR_NUMBER: 
2025-03-21T20:18:03.5400784Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:03.5403296Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:03.5403696Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:03.5404425Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:03.5404843Z ##[endgroup]
2025-03-21T20:18:04.9725339Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:04.9726238Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:04.9727076Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:04.9727643Z 
2025-03-21T20:18:04.9727799Z Login Succeeded
2025-03-21T20:18:04.9789065Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:04.9790045Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:04.9790804Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:04.9799206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.9799750Z env:
2025-03-21T20:18:04.9800168Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.9800724Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.9801141Z   PR_NUMBER: 
2025-03-21T20:18:04.9803570Z   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=emformer_transcribe
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}"

2025-03-21T20:18:04.9806473Z ##[endgroup]
2025-03-21T20:18:04.9915304Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:04.9915991Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:04.9916566Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:04.9917077Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:04.9917708Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:04.9918318Z 
2025-03-21T20:18:04.9918754Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:04.9919436Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:04.9919974Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:04.9920660Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:04.9921688Z 
2025-03-21T20:18:04.9922078Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:04.9922581Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:04.9923056Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:04.9923637Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:04.9931993Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.9932540Z env:
2025-03-21T20:18:04.9932945Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:04.9933483Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.9933893Z   PR_NUMBER: 
2025-03-21T20:18:04.9936292Z   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=emformer_transcribe
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}"

2025-03-21T20:18:04.9938800Z ##[endgroup]
2025-03-21T20:18:05.1867139Z ##[group]Run needs=0
2025-03-21T20:18:05.1867572Z needs=0
2025-03-21T20:18:05.1868114Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:05.1868751Z   needs=1
2025-03-21T20:18:05.1869111Z fi
2025-03-21T20:18:05.1869495Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:05.1877523Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.1878059Z env:
2025-03-21T20:18:05.1878451Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.1878990Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.1879395Z   PR_NUMBER: 
2025-03-21T20:18:05.1882418Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
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}"

2025-03-21T20:18:05.1885169Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.1886005Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.1886784Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.1887334Z ##[endgroup]
2025-03-21T20:18:05.2218206Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:05.2219042Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:05.2219661Z # shellcheck disable=SC2046
2025-03-21T20:18:05.2220149Z docker stop $(docker ps -q) || true
2025-03-21T20:18:05.2220674Z # Prune all of the docker images
2025-03-21T20:18:05.2221169Z docker system prune -af
2025-03-21T20:18:05.2230774Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.2231309Z env:
2025-03-21T20:18:05.2231699Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.2232229Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.2232636Z   PR_NUMBER: 
2025-03-21T20:18:05.2235018Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
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}"

2025-03-21T20:18:05.2237695Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.2239006Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.2239792Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.2240343Z ##[endgroup]
2025-03-21T20:18:05.2527963Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:05.2528541Z See 'docker stop --help'.
2025-03-21T20:18:05.2528802Z 
2025-03-21T20:18:05.2529035Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:05.2529425Z 
2025-03-21T20:18:05.2529591Z Stop one or more running containers
2025-03-21T20:18:05.2704746Z Total reclaimed space: 0B
2025-03-21T20:18:05.2850074Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:05.2850807Z with:
2025-03-21T20:18:05.2851486Z   github-secret: ***
2025-03-21T20:18:05.2852465Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:05.2853550Z   activate-with-label: false
2025-03-21T20:18:05.2853959Z   label: with-ssh
2025-03-21T20:18:05.2854344Z   remove-existing-keys: true
2025-03-21T20:18:05.2854765Z   fail-silently: true
2025-03-21T20:18:05.2855114Z env:
2025-03-21T20:18:05.2855509Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.2856052Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.2856464Z   PR_NUMBER: 
2025-03-21T20:18:05.2858899Z   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=emformer_transcribe
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}"

2025-03-21T20:18:05.2861565Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.2862506Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.2863556Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.2864226Z ##[endgroup]
2025-03-21T20:18:05.4321079Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:05.4322800Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:05.4496600Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:05.4497097Z with:
2025-03-21T20:18:05.4497442Z   repository: pytorch/executorch
2025-03-21T20:18:05.4497915Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:05.4498405Z   path: pytorch/executorch
2025-03-21T20:18:05.4498794Z   fetch-depth: 1
2025-03-21T20:18:05.4499135Z   submodules: true
2025-03-21T20:18:05.4499717Z   token: ***
2025-03-21T20:18:05.4500057Z   ssh-strict: true
2025-03-21T20:18:05.4500397Z   ssh-user: git
2025-03-21T20:18:05.4500778Z   persist-credentials: true
2025-03-21T20:18:05.4501168Z   clean: true
2025-03-21T20:18:05.4501519Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:05.4501954Z   fetch-tags: false
2025-03-21T20:18:05.4502310Z   show-progress: true
2025-03-21T20:18:05.4502666Z   lfs: false
2025-03-21T20:18:05.4503006Z   set-safe-directory: true
2025-03-21T20:18:05.4503378Z env:
2025-03-21T20:18:05.4504123Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:05.4504751Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.4505162Z   PR_NUMBER: 
2025-03-21T20:18:05.4507545Z   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=emformer_transcribe
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}"

2025-03-21T20:18:05.4510655Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.4511480Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.4512265Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.4512824Z ##[endgroup]
2025-03-21T20:18:05.5810999Z Syncing repository: pytorch/executorch
2025-03-21T20:18:05.5824269Z ##[group]Getting Git version info
2025-03-21T20:18:05.5825114Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:05.5866218Z [command]/usr/bin/git version
2025-03-21T20:18:05.5920830Z git version 2.47.1
2025-03-21T20:18:05.5959918Z ##[endgroup]
2025-03-21T20:18:05.5979857Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/4415de72-4831-4aff-a19f-6e1e714e8089' before making global git config changes
2025-03-21T20:18:05.5981233Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:05.5990273Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:05.6037333Z ##[group]Initializing the repository
2025-03-21T20:18:05.6045871Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:05.6089599Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:05.6090487Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:05.6091369Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:05.6091955Z hint:
2025-03-21T20:18:05.6092355Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:05.6092854Z hint:
2025-03-21T20:18:05.6093334Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:05.6094166Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:05.6094787Z hint:
2025-03-21T20:18:05.6095098Z hint: 	git branch -m <name>
2025-03-21T20:18:05.6095972Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:05.6109814Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:05.6148735Z ##[endgroup]
2025-03-21T20:18:05.6149948Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:05.6158299Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:05.6196521Z ##[endgroup]
2025-03-21T20:18:05.6197141Z ##[group]Setting up auth
2025-03-21T20:18:05.6206766Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:05.6244269Z [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' || :"
2025-03-21T20:18:05.6596637Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:05.6635215Z [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' || :"
2025-03-21T20:18:05.6997484Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:05.7058108Z ##[endgroup]
2025-03-21T20:18:05.7058763Z ##[group]Fetching the repository
2025-03-21T20:18:05.7069397Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:07.4702756Z From https://github.com/pytorch/executorch
2025-03-21T20:18:07.4703514Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:07.4745055Z ##[endgroup]
2025-03-21T20:18:07.4745838Z ##[group]Determining the checkout info
2025-03-21T20:18:07.4747516Z ##[endgroup]
2025-03-21T20:18:07.4754231Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:07.4800342Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:07.4837770Z ##[group]Checking out the ref
2025-03-21T20:18:07.4843498Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:08.0397914Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:08.0398435Z 
2025-03-21T20:18:08.0398978Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:08.0399859Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:08.0400656Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:08.0401117Z 
2025-03-21T20:18:08.0401430Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:08.0402227Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:08.0402645Z 
2025-03-21T20:18:08.0402833Z   git switch -c <new-branch-name>
2025-03-21T20:18:08.0403125Z 
2025-03-21T20:18:08.0403295Z Or undo this operation with:
2025-03-21T20:18:08.0403572Z 
2025-03-21T20:18:08.0403719Z   git switch -
2025-03-21T20:18:08.0404186Z 
2025-03-21T20:18:08.0404568Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:08.0405083Z 
2025-03-21T20:18:08.0405321Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:08.0453753Z ##[endgroup]
2025-03-21T20:18:08.0454610Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:08.0461350Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:08.0528529Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:08.0571524Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:08.0620237Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:08.0658329Z ##[endgroup]
2025-03-21T20:18:08.0659004Z ##[group]Fetching submodules
2025-03-21T20:18:08.0665924Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:08.1061064Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:08.1434832Z 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'
2025-03-21T20:18:08.1437219Z 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'
2025-03-21T20:18:08.1439111Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:08.1440961Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:08.1443559Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:08.1445615Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:08.1447988Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:08.1451221Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:08.1455620Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:08.1457451Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:08.1460200Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:08.1463105Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:08.1467444Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:08.1470806Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:08.1473939Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:08.1478823Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:08.1484291Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:08.1488379Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:08.1492278Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:08.1496040Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:08.1500864Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:08.1504490Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:08.1510150Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:08.1547713Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:08.4080454Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:08.6585861Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:08.8849155Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:09.3155320Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:09.6507013Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:09.8828658Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:10.0723661Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:10.2557010Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:11.0413932Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:11.4041879Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:11.5957651Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:11.9193593Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:12.6550917Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:13.0614029Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:13.4045001Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:13.7387798Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:13.9892663Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:14.1825322Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:14.4950590Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:14.7457940Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:14.9206340Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:15.3652751Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:16.1302379Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:16.1303181Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:16.1440547Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:16.7101392Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:16.7102210Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:16.7236627Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:16.7352691Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:17.5183305Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:17.5184058Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:17.5779286Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:18.1973466Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:18.1974320Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:18.2340125Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:18.6489661Z From https://github.com/zeux/volk
2025-03-21T20:18:18.6490364Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:18.6585643Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:19.0761334Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:19.0762060Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:19.0874867Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:19.5283887Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:19.5284599Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:19.5356146Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:21.2932742Z From https://github.com/google/XNNPACK
2025-03-21T20:18:21.2933435Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:21.9758542Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:22.4567404Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:22.4568145Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:22.5602109Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:22.9770956Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:22.9771706Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:22.9878675Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:23.4894168Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:23.4894902Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:23.5175908Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:25.1752128Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:25.1752851Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:25.3252859Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:25.3475909Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:25.8689002Z From https://github.com/pytorch/ao
2025-03-21T20:18:25.8689686Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:25.9495187Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:26.6124793Z From https://github.com/google/flatbuffers
2025-03-21T20:18:26.6125853Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:26.7324363Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:27.2480431Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:27.2481144Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:27.2773862Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:27.7385218Z From https://github.com/gflags/gflags
2025-03-21T20:18:27.7385905Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:27.7496461Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:28.4581113Z From https://github.com/google/googletest
2025-03-21T20:18:28.4581832Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:28.4982412Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:28.8975399Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:28.8976094Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:28.9070462Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:28.9159139Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:29.6263688Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:29.6264414Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:29.7140907Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:30.2884638Z From https://github.com/pybind/pybind11
2025-03-21T20:18:30.2885349Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:30.3216370Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:30.3237374Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:30.3567750Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.3598607Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.3630302Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.3664523Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.3697503Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.3729669Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.3763275Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.3794732Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.3828860Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.3860562Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.3892843Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:30.3927931Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:30.3959577Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:30.3992435Z Entering 'shim'
2025-03-21T20:18:30.4025077Z Entering 'third-party/ao'
2025-03-21T20:18:30.4056615Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:30.4087756Z Entering 'third-party/flatcc'
2025-03-21T20:18:30.4120177Z Entering 'third-party/gflags'
2025-03-21T20:18:30.4152508Z Entering 'third-party/googletest'
2025-03-21T20:18:30.4184389Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:30.4218387Z Entering 'third-party/pocketfft'
2025-03-21T20:18:30.4251313Z Entering 'third-party/prelude'
2025-03-21T20:18:30.4282454Z Entering 'third-party/pybind11'
2025-03-21T20:18:30.4326759Z ##[endgroup]
2025-03-21T20:18:30.4327585Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:30.4336998Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-03-21T20:18:30.4662369Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.4725457Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.4789314Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.4860222Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.4929301Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.4998334Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.5065255Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.5129138Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.5193031Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.5271390Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.5336017Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:30.5399391Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:30.5463166Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:30.5528177Z Entering 'shim'
2025-03-21T20:18:30.5590534Z Entering 'third-party/ao'
2025-03-21T20:18:30.5656296Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:30.5725643Z Entering 'third-party/flatcc'
2025-03-21T20:18:30.5791321Z Entering 'third-party/gflags'
2025-03-21T20:18:30.5859711Z Entering 'third-party/googletest'
2025-03-21T20:18:30.5922326Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:30.5984589Z Entering 'third-party/pocketfft'
2025-03-21T20:18:30.6045017Z Entering 'third-party/prelude'
2025-03-21T20:18:30.6110367Z Entering 'third-party/pybind11'
2025-03-21T20:18:30.6193424Z [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"
2025-03-21T20:18:30.6517809Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.6578931Z 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
2025-03-21T20:18:30.6580313Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.6640520Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:30.6660760Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.6700410Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:30.6702051Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.6765840Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:30.6767296Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.6829212Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:30.6830598Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.6888893Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:30.6890186Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.6952806Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:30.6954088Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.7012067Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:30.7013432Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.7073201Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:30.7074495Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.7135844Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:30.7137178Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:30.7196182Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:30.7197555Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:30.7257396Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:30.7258653Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:30.7318649Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:30.7319853Z Entering 'shim'
2025-03-21T20:18:30.7378707Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:30.7379715Z Entering 'third-party/ao'
2025-03-21T20:18:30.7439561Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:30.7440761Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:30.7500696Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:30.7502268Z Entering 'third-party/flatcc'
2025-03-21T20:18:30.7562802Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:30.7563933Z Entering 'third-party/gflags'
2025-03-21T20:18:30.7624351Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:30.7625499Z Entering 'third-party/googletest'
2025-03-21T20:18:30.7684483Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:30.7685633Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:30.7744973Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:30.7746101Z Entering 'third-party/pocketfft'
2025-03-21T20:18:30.7806108Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:30.7807298Z Entering 'third-party/prelude'
2025-03-21T20:18:30.7867266Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:30.7868414Z Entering 'third-party/pybind11'
2025-03-21T20:18:30.7927290Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:30.8216780Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:30.8540754Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.8571479Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.8606037Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.8640136Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.8673161Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.8705042Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.8736864Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.8770434Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.8801820Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.8834908Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.8866927Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:30.8899202Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:30.8931935Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:30.8963703Z Entering 'shim'
2025-03-21T20:18:30.8996833Z Entering 'third-party/ao'
2025-03-21T20:18:30.9030569Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:30.9061972Z Entering 'third-party/flatcc'
2025-03-21T20:18:30.9093477Z Entering 'third-party/gflags'
2025-03-21T20:18:30.9127052Z Entering 'third-party/googletest'
2025-03-21T20:18:30.9158633Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:30.9192338Z Entering 'third-party/pocketfft'
2025-03-21T20:18:30.9225265Z Entering 'third-party/prelude'
2025-03-21T20:18:30.9257800Z Entering 'third-party/pybind11'
2025-03-21T20:18:30.9310190Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:30.9654392Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.9685640Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.9719295Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.9754008Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.9787923Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.9822933Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.9856973Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.9889910Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.9921968Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.9955057Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.9995916Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.0046001Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.0075776Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.0113655Z Entering 'shim'
2025-03-21T20:18:31.0151401Z Entering 'third-party/ao'
2025-03-21T20:18:31.0187145Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.0221136Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.0254363Z Entering 'third-party/gflags'
2025-03-21T20:18:31.0287678Z Entering 'third-party/googletest'
2025-03-21T20:18:31.0321031Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.0358194Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.0399822Z Entering 'third-party/prelude'
2025-03-21T20:18:31.0433769Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.0483188Z ##[endgroup]
2025-03-21T20:18:31.0530244Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:31.0559466Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:31.0839356Z Prepare all required actions
2025-03-21T20:18:31.0840556Z Getting action download info
2025-03-21T20:18:31.1776826Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:31.3272257Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:31.3272832Z with:
2025-03-21T20:18:31.3273268Z   docker-image-name: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:31.3273832Z   docker-build-dir: .ci/docker
2025-03-21T20:18:31.3274269Z   working-directory: pytorch/executorch
2025-03-21T20:18:31.3274856Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.3275424Z   force-push: false
2025-03-21T20:18:31.3275763Z env:
2025-03-21T20:18:31.3276164Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:31.3276736Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.3277154Z   PR_NUMBER: 
2025-03-21T20:18:31.3279618Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:31.3282299Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.3283127Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.3283902Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.3284477Z ##[endgroup]
2025-03-21T20:18:31.3321409Z ##[group]Run set -ex
2025-03-21T20:18:31.3321876Z set -ex
2025-03-21T20:18:31.3322233Z 
2025-03-21T20:18:31.3322810Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:31.3323743Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:31.3324545Z # job could then download the pre-built image as usual
2025-03-21T20:18:31.3325265Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:31.3325931Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3326560Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3327140Z 
2025-03-21T20:18:31.3327647Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:31.3328266Z   exit 0
2025-03-21T20:18:31.3328587Z else
2025-03-21T20:18:31.3328971Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3329753Z fi
2025-03-21T20:18:31.3330061Z 
2025-03-21T20:18:31.3330554Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:31.3331736Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:31.3332487Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:31.3333174Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:31.3333894Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3334593Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3335174Z else
2025-03-21T20:18:31.3335627Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:31.3336284Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3337191Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3337995Z fi
2025-03-21T20:18:31.3345972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:31.3346536Z env:
2025-03-21T20:18:31.3346933Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:31.3347457Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.3347868Z   PR_NUMBER: 
2025-03-21T20:18:31.3350260Z   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=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:31.3352941Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.3353784Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.3354570Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.3355140Z   REPO_NAME: executorch
2025-03-21T20:18:31.3355616Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:31.3356160Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:31.3356685Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.3357232Z ##[endgroup]
2025-03-21T20:18:31.3389589Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:31.3390002Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:31.3390403Z + echo skip=false
2025-03-21T20:18:31.3391145Z + [[ 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* ]]
2025-03-21T20:18:31.3398208Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:31.3415983Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.3416647Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.3417868Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.3469655Z ##[group]Run set +e
2025-03-21T20:18:31.3470122Z set +e
2025-03-21T20:18:31.3470462Z set -x
2025-03-21T20:18:31.3470794Z 
2025-03-21T20:18:31.3471097Z login() {
2025-03-21T20:18:31.3471768Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:31.3472498Z }
2025-03-21T20:18:31.3472803Z 
2025-03-21T20:18:31.3473115Z retry () {
2025-03-21T20:18:31.3473493Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:31.3473943Z }
2025-03-21T20:18:31.3474249Z 
2025-03-21T20:18:31.3474592Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:31.3475354Z 
2025-03-21T20:18:31.3475674Z START_TIME=$(date +%s)
2025-03-21T20:18:31.3476117Z # Wait up to 120 minutes
2025-03-21T20:18:31.3476631Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:31.3477318Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:31.3478008Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:31.3478525Z     exit 0
2025-03-21T20:18:31.3478866Z   fi
2025-03-21T20:18:31.3479183Z 
2025-03-21T20:18:31.3479725Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:31.3480659Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:31.3481590Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:31.3482318Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:31.3483133Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:31.3483655Z     break
2025-03-21T20:18:31.3483990Z   else
2025-03-21T20:18:31.3484477Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:31.3485068Z     sleep 300
2025-03-21T20:18:31.3485418Z   fi
2025-03-21T20:18:31.3485739Z done
2025-03-21T20:18:31.3486053Z 
2025-03-21T20:18:31.3486552Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:31.3487357Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:31.3488075Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:31.3488724Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:31.3489303Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:31.3489775Z else
2025-03-21T20:18:31.3490246Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:31.3491052Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:31.3491560Z fi
2025-03-21T20:18:31.3491873Z 
2025-03-21T20:18:31.3492217Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:31.3492729Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3493208Z 
2025-03-21T20:18:31.3493864Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:31.3494651Z   exit 0
2025-03-21T20:18:31.3494982Z fi
2025-03-21T20:18:31.3495300Z 
2025-03-21T20:18:31.3495747Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:31.3496712Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:31.3497548Z   exit 1
2025-03-21T20:18:31.3497887Z fi
2025-03-21T20:18:31.3498202Z 
2025-03-21T20:18:31.3498729Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:31.3499662Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:31.3500498Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:31.3501462Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:31.3502546Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:31.3503206Z fi
2025-03-21T20:18:31.3503518Z 
2025-03-21T20:18:31.3504148Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.3512519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:31.3513055Z env:
2025-03-21T20:18:31.3514033Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.3515133Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.3515556Z   PR_NUMBER: 
2025-03-21T20:18:31.3517937Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
BUILD_TOOL="cmake"
BACKEND=portable

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

2025-03-21T20:18:31.3520600Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.3521432Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.3522530Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.3523138Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:31.3523629Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:31.3524229Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.3524863Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.3525416Z   DOCKER_PUSH: 
2025-03-21T20:18:31.3525747Z ##[endgroup]
2025-03-21T20:18:31.3557272Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.3557910Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.3560059Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:31.3561921Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.0750820Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:32.0751745Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:32.0752580Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:32.0753133Z 
2025-03-21T20:18:32.0753285Z Login Succeeded
2025-03-21T20:18:32.0776497Z ++ date +%s
2025-03-21T20:18:32.0786217Z + START_TIME=1742588312
2025-03-21T20:18:32.0790561Z ++ date +%s
2025-03-21T20:18:32.0801677Z + [[ 1742581112 -lt 1742588312 ]]
2025-03-21T20:18:32.0802861Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.2805496Z {
2025-03-21T20:18:32.2805976Z 	"schemaVersion": 2,
2025-03-21T20:18:32.2806607Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-03-21T20:18:32.2807252Z 	"config": {
2025-03-21T20:18:32.2807732Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-03-21T20:18:32.2808365Z 		"size": 15125,
2025-03-21T20:18:32.2808974Z 		"digest": "sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4"
2025-03-21T20:18:32.2809684Z 	},
2025-03-21T20:18:32.2809988Z 	"layers": [
2025-03-21T20:18:32.2810415Z 		{
2025-03-21T20:18:32.2811136Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2811744Z 			"size": 28397174,
2025-03-21T20:18:32.2812351Z 			"digest": "sha256:9b850f5aae4c6627d2173c368f232b9b1db52bbf636f85f66e885e8611acd964"
2025-03-21T20:18:32.2813015Z 		},
2025-03-21T20:18:32.2813297Z 		{
2025-03-21T20:18:32.2813770Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2814363Z 			"size": 633,
2025-03-21T20:18:32.2814971Z 			"digest": "sha256:badf7cb767d1b45da1f5dabcfb3479e8c3860c7ddfedea2b1848e91ee00faa4a"
2025-03-21T20:18:32.2815659Z 		},
2025-03-21T20:18:32.2815937Z 		{
2025-03-21T20:18:32.2816405Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2817502Z 			"size": 153121650,
2025-03-21T20:18:32.2818100Z 			"digest": "sha256:0f89db74a98d9c3b39c34b6138f0608318e0445f8005542cc5cd957ecd8b5a95"
2025-03-21T20:18:32.2818796Z 		},
2025-03-21T20:18:32.2819087Z 		{
2025-03-21T20:18:32.2819557Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2820147Z 			"size": 622,
2025-03-21T20:18:32.2820704Z 			"digest": "sha256:32a4514e7ff575e6e37522ceb046a4594750562d16d01c2a4495863819f59f56"
2025-03-21T20:18:32.2821352Z 		},
2025-03-21T20:18:32.2821641Z 		{
2025-03-21T20:18:32.2822117Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2822716Z 			"size": 18985061,
2025-03-21T20:18:32.2823307Z 			"digest": "sha256:37c6f550ae9bd5ea67adf6bc3031f5e81601ea2177874639027bb9aaea1d5468"
2025-03-21T20:18:32.2823976Z 		},
2025-03-21T20:18:32.2824315Z 		{
2025-03-21T20:18:32.2825145Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2825756Z 			"size": 737,
2025-03-21T20:18:32.2826364Z 			"digest": "sha256:41326e4613eb7cd7c11da0f4d91f4c2c8377bf26dabf4f1bd1582609a64e5ee0"
2025-03-21T20:18:32.2827043Z 		},
2025-03-21T20:18:32.2827726Z + exit 0
2025-03-21T20:18:32.2828065Z 		{
2025-03-21T20:18:32.2828537Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2829136Z 			"size": 104,
2025-03-21T20:18:32.2829720Z 			"digest": "sha256:c5561e75697a090410df8a63b915edf3477dd7fde71ae2d1b13768144db7def4"
2025-03-21T20:18:32.2853695Z 		},
2025-03-21T20:18:32.2854042Z 		{
2025-03-21T20:18:32.2854554Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2855164Z 			"size": 447,
2025-03-21T20:18:32.2855765Z 			"digest": "sha256:e6a0b1cdd23a737edbabd1d9f6380877e85325bcd96e36c5d1457dd2430d701f"
2025-03-21T20:18:32.2856443Z 		},
2025-03-21T20:18:32.2856741Z 		{
2025-03-21T20:18:32.2857218Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2857814Z 			"size": 2758,
2025-03-21T20:18:32.2858427Z 			"digest": "sha256:55a35e56f796d1f48b8a63c990ede1a75d2f65560b04c7b55672845ae99b461e"
2025-03-21T20:18:32.2859084Z 		},
2025-03-21T20:18:32.2859391Z 		{
2025-03-21T20:18:32.2859870Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2860468Z 			"size": 637,
2025-03-21T20:18:32.2861051Z 			"digest": "sha256:4116b07c7ca15a3a34580b3b8c039d59e042ef72f0f02e2ff121bea0d7878663"
2025-03-21T20:18:32.2861716Z 		},
2025-03-21T20:18:32.2862011Z 		{
2025-03-21T20:18:32.2862486Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2863088Z 			"size": 33668694,
2025-03-21T20:18:32.2863699Z 			"digest": "sha256:cf6a0478ca56cd157e99ad6be8c6390902bc94f1e19512d7e433964e5d5b5d5b"
2025-03-21T20:18:32.2864370Z 		},
2025-03-21T20:18:32.2864678Z 		{
2025-03-21T20:18:32.2865161Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2865756Z 			"size": 318,
2025-03-21T20:18:32.2866336Z 			"digest": "sha256:3b4cd7004f33f8e021fd6e6c068ee019298c34a08b0492e152ac8aa2e013b796"
2025-03-21T20:18:32.2867016Z 		},
2025-03-21T20:18:32.2867308Z 		{
2025-03-21T20:18:32.2867789Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2868394Z 			"size": 244427647,
2025-03-21T20:18:32.2868983Z 			"digest": "sha256:9c1e20dd9a42f63910af9367756b66820493318e0ac1ba6404a968f2e6e3215c"
2025-03-21T20:18:32.2869632Z 		},
2025-03-21T20:18:32.2869930Z 		{
2025-03-21T20:18:32.2870400Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2871002Z 			"size": 475,
2025-03-21T20:18:32.2871580Z 			"digest": "sha256:145833aca2835f9f71580281117cc4c981d0a32e6c14db47ff76b78ca6359311"
2025-03-21T20:18:32.2872241Z 		},
2025-03-21T20:18:32.2872538Z 		{
2025-03-21T20:18:32.2873009Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2873606Z 			"size": 1042,
2025-03-21T20:18:32.2874183Z 			"digest": "sha256:1a18f7e26037f9e4136eceae6a4a22d12c1893dc321385ae24da5c99a83461b1"
2025-03-21T20:18:32.2875179Z 		},
2025-03-21T20:18:32.2875463Z 		{
2025-03-21T20:18:32.2875942Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2876538Z 			"size": 611,
2025-03-21T20:18:32.2877100Z 			"digest": "sha256:82635263661e2b2d13043678fb15fbe49d392d190aef88a0df41d2e54c8c824c"
2025-03-21T20:18:32.2877757Z 		},
2025-03-21T20:18:32.2878047Z 		{
2025-03-21T20:18:32.2878519Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2879115Z 			"size": 108847074,
2025-03-21T20:18:32.2879702Z 			"digest": "sha256:0551c017ae818c6377369d432d4b3f6cb943365a04fde23b2d7dbc166bbca7ca"
2025-03-21T20:18:32.2880361Z 		},
2025-03-21T20:18:32.2880665Z 		{
2025-03-21T20:18:32.2881135Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2881725Z 			"size": 564,
2025-03-21T20:18:32.2882291Z 			"digest": "sha256:c16e35c9661429be66b2fc0d47ee6f87240ce318684467b0567550293cfa387b"
2025-03-21T20:18:32.2882964Z 		},
2025-03-21T20:18:32.2883248Z 		{
2025-03-21T20:18:32.2883717Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2884496Z 			"size": 208,
2025-03-21T20:18:32.2885097Z 			"digest": "sha256:3ad3c7d7d14a2a6c674dc6035399c34569aff598a23ff58493fad46f940ec3f6"
2025-03-21T20:18:32.2885765Z 		},
2025-03-21T20:18:32.2886054Z 		{
2025-03-21T20:18:32.2886523Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2887117Z 			"size": 1189,
2025-03-21T20:18:32.2887691Z 			"digest": "sha256:8830bd728cbd452ee88aa086fc19692143cdeaff3d11106915ae27f97f161901"
2025-03-21T20:18:32.2888363Z 		},
2025-03-21T20:18:32.2888652Z 		{
2025-03-21T20:18:32.2889118Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2889713Z 			"size": 678,
2025-03-21T20:18:32.2890290Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:32.2891082Z 		},
2025-03-21T20:18:32.2891386Z 		{
2025-03-21T20:18:32.2891860Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2892464Z 			"size": 1143915792,
2025-03-21T20:18:32.2893067Z 			"digest": "sha256:0b23b48b8fcec9cd5758b53c5f5a3b1d55b968c7bdcc5c8bb20497e2e4d41445"
2025-03-21T20:18:32.2893751Z 		},
2025-03-21T20:18:32.2894043Z 		{
2025-03-21T20:18:32.2894520Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2895117Z 			"size": 1381,
2025-03-21T20:18:32.2895691Z 			"digest": "sha256:5e7729c8c19f7ee8540f6c8edd615229a3c5e2b8f47c730a7e14d31a8038b40e"
2025-03-21T20:18:32.2896363Z 		},
2025-03-21T20:18:32.2896654Z 		{
2025-03-21T20:18:32.2897130Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2897726Z 			"size": 678,
2025-03-21T20:18:32.2898303Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:32.2898975Z 		},
2025-03-21T20:18:32.2899266Z 		{
2025-03-21T20:18:32.2899739Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2900355Z 			"size": 223543527,
2025-03-21T20:18:32.2900962Z 			"digest": "sha256:02aa2fb4345700525d3b0b3af142e5da83f48ce4be43f59869dde8688a944476"
2025-03-21T20:18:32.2901639Z 		},
2025-03-21T20:18:32.2901930Z 		{
2025-03-21T20:18:32.2902397Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2902987Z 			"size": 828,
2025-03-21T20:18:32.2903548Z 			"digest": "sha256:3464920c9c020a760b7867720e80499c535724beee0e727b768fa9c3c979f703"
2025-03-21T20:18:32.2904532Z 		},
2025-03-21T20:18:32.2904831Z 		{
2025-03-21T20:18:32.2905308Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2905900Z 			"size": 678,
2025-03-21T20:18:32.2906474Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:32.2907144Z 		},
2025-03-21T20:18:32.2907430Z 		{
2025-03-21T20:18:32.2907898Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2908889Z 			"size": 149423004,
2025-03-21T20:18:32.2909485Z 			"digest": "sha256:87684e5c474c8175a082abfc5e630f361841d540383f5e49a87dd16b3b097576"
2025-03-21T20:18:32.2910148Z 		},
2025-03-21T20:18:32.2910439Z 		{
2025-03-21T20:18:32.2910919Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2911514Z 			"size": 530,
2025-03-21T20:18:32.2912088Z 			"digest": "sha256:44b50c5e2ca60efca348edaa62c276e90a060083463edec336c8fb6163b664f7"
2025-03-21T20:18:32.2912766Z 		},
2025-03-21T20:18:32.2913057Z 		{
2025-03-21T20:18:32.2913529Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2914128Z 			"size": 678,
2025-03-21T20:18:32.2914700Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:32.2915370Z 		},
2025-03-21T20:18:32.2915664Z 		{
2025-03-21T20:18:32.2916133Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2916737Z 			"size": 355,
2025-03-21T20:18:32.2917321Z 			"digest": "sha256:224753fce160cefd1c5e83b53d98ec9edeacea0086d67fc96942269103686202"
2025-03-21T20:18:32.2918254Z 		},
2025-03-21T20:18:32.2918571Z 		{
2025-03-21T20:18:32.2919047Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2919638Z 			"size": 32,
2025-03-21T20:18:32.2920215Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:32.2920892Z 		},
2025-03-21T20:18:32.2921187Z 		{
2025-03-21T20:18:32.2921661Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2922265Z 			"size": 165,
2025-03-21T20:18:32.2922832Z 			"digest": "sha256:788b314b21e5388374b608e2da266f0a9b27903af8e2b485c5d9cc9f8a21e2a5"
2025-03-21T20:18:32.2923494Z 		},
2025-03-21T20:18:32.2923792Z 		{
2025-03-21T20:18:32.2924264Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2924857Z 			"size": 1111,
2025-03-21T20:18:32.2925458Z 			"digest": "sha256:33d66e1ce781396ba538169972efe1be2b1b1da3565a86ad7c1e886fa2decbf7"
2025-03-21T20:18:32.2926131Z 		},
2025-03-21T20:18:32.2926434Z 		{
2025-03-21T20:18:32.2926910Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2927505Z 			"size": 32,
2025-03-21T20:18:32.2928087Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:32.2928763Z 		},
2025-03-21T20:18:32.2929056Z 		{
2025-03-21T20:18:32.2929530Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.2930123Z 			"size": 108,
2025-03-21T20:18:32.2930827Z 			"digest": "sha256:84f191ac8f70eea3a0188d79da0086dd490bb90ce1a9ebb3a84a3689d6acc220"
2025-03-21T20:18:32.2931511Z 		}
2025-03-21T20:18:32.2931822Z 	]
2025-03-21T20:18:32.2932107Z }
2025-03-21T20:18:32.2977550Z ##[group]Run set -eux
2025-03-21T20:18:32.2977958Z set -eux
2025-03-21T20:18:32.2979203Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-03-21T20:18:32.2987860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:32.2988407Z env:
2025-03-21T20:18:32.2988820Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2989375Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:32.2989791Z   PR_NUMBER: 
2025-03-21T20:18:32.2992181Z   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=emformer_transcribe
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}"

2025-03-21T20:18:32.2994849Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:32.2995886Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:32.2996675Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:32.2997226Z ##[endgroup]
2025-03-21T20:18:32.3032508Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:32.3035045Z + jq --raw-output .SecretString
2025-03-21T20:18:32.3035668Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:32.3036571Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:33.1052926Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:33.1053793Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:33.1054601Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:33.1055141Z 
2025-03-21T20:18:33.1055335Z Login Succeeded
2025-03-21T20:18:33.1171628Z Prepare all required actions
2025-03-21T20:18:33.1223033Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:33.1223589Z with:
2025-03-21T20:18:33.1224563Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.1225772Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.1226330Z env:
2025-03-21T20:18:33.1226719Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:33.1227258Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:33.1227673Z   PR_NUMBER: 
2025-03-21T20:18:33.1230145Z   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=emformer_transcribe
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}"

2025-03-21T20:18:33.1232862Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:33.1233700Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:33.1234478Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:33.1235033Z ##[endgroup]
2025-03-21T20:18:33.1264788Z ##[group]Run set -x
2025-03-21T20:18:33.1265214Z set -x
2025-03-21T20:18:33.1265566Z set +e
2025-03-21T20:18:33.1265890Z 
2025-03-21T20:18:33.1266199Z login() {
2025-03-21T20:18:33.1266875Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:33.1267604Z }
2025-03-21T20:18:33.1267914Z 
2025-03-21T20:18:33.1268225Z retry () {
2025-03-21T20:18:33.1268631Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:33.1269124Z }
2025-03-21T20:18:33.1269443Z 
2025-03-21T20:18:33.1269793Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:33.1270237Z 
2025-03-21T20:18:33.1270546Z set -e
2025-03-21T20:18:33.1271034Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:33.1271736Z # only pull docker image if it's not available locally
2025-03-21T20:18:33.1272508Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:33.1273214Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:33.1273678Z fi
2025-03-21T20:18:33.1281278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:33.1281820Z env:
2025-03-21T20:18:33.1282800Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.1284259Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:33.1284677Z   PR_NUMBER: 
2025-03-21T20:18:33.1287062Z   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=emformer_transcribe
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}"

2025-03-21T20:18:33.1289747Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:33.1290585Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:33.1291507Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:33.1292219Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.1293083Z ##[endgroup]
2025-03-21T20:18:33.1325150Z + set +e
2025-03-21T20:18:33.1325622Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.1326236Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.1329217Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:33.1330209Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.8375863Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:33.8377582Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:33.8378401Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:33.8378946Z 
2025-03-21T20:18:33.8379104Z Login Succeeded
2025-03-21T20:18:33.8392778Z + set -e
2025-03-21T20:18:33.8393939Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.8532138Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.8533924Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.0676367Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:34.0677827Z 9b850f5aae4c: Pulling fs layer
2025-03-21T20:18:34.0678259Z badf7cb767d1: Pulling fs layer
2025-03-21T20:18:34.0678687Z 0f89db74a98d: Pulling fs layer
2025-03-21T20:18:34.0679176Z 32a4514e7ff5: Pulling fs layer
2025-03-21T20:18:34.0679596Z 37c6f550ae9b: Pulling fs layer
2025-03-21T20:18:34.0680068Z 41326e4613eb: Pulling fs layer
2025-03-21T20:18:34.0680475Z c5561e75697a: Pulling fs layer
2025-03-21T20:18:34.0680883Z e6a0b1cdd23a: Pulling fs layer
2025-03-21T20:18:34.0681328Z 55a35e56f796: Pulling fs layer
2025-03-21T20:18:34.0681753Z 4116b07c7ca1: Pulling fs layer
2025-03-21T20:18:34.0682166Z cf6a0478ca56: Pulling fs layer
2025-03-21T20:18:34.0682575Z 3b4cd7004f33: Pulling fs layer
2025-03-21T20:18:34.0682989Z 9c1e20dd9a42: Pulling fs layer
2025-03-21T20:18:34.0683396Z 145833aca283: Pulling fs layer
2025-03-21T20:18:34.0683796Z 1a18f7e26037: Pulling fs layer
2025-03-21T20:18:34.0684198Z 82635263661e: Pulling fs layer
2025-03-21T20:18:34.0684602Z 0551c017ae81: Pulling fs layer
2025-03-21T20:18:34.0685012Z c16e35c96614: Pulling fs layer
2025-03-21T20:18:34.0685414Z 3ad3c7d7d14a: Pulling fs layer
2025-03-21T20:18:34.0685817Z 8830bd728cbd: Pulling fs layer
2025-03-21T20:18:34.0686224Z a9de9234777c: Pulling fs layer
2025-03-21T20:18:34.0687263Z 0b23b48b8fce: Pulling fs layer
2025-03-21T20:18:34.0687676Z 5e7729c8c19f: Pulling fs layer
2025-03-21T20:18:34.0688085Z 02aa2fb43457: Pulling fs layer
2025-03-21T20:18:34.0688480Z 3464920c9c02: Pulling fs layer
2025-03-21T20:18:34.0688879Z 37c6f550ae9b: Waiting
2025-03-21T20:18:34.0689831Z 1a18f7e26037: Waiting
2025-03-21T20:18:34.0690272Z 87684e5c474c: Pulling fs layer
2025-03-21T20:18:34.0690773Z 82635263661e: Waiting
2025-03-21T20:18:34.0691225Z 44b50c5e2ca6: Pulling fs layer
2025-03-21T20:18:34.0691631Z 41326e4613eb: Waiting
2025-03-21T20:18:34.0691989Z c5561e75697a: Waiting
2025-03-21T20:18:34.0692415Z e6a0b1cdd23a: Waiting
2025-03-21T20:18:34.0692815Z 224753fce160: Pulling fs layer
2025-03-21T20:18:34.0693412Z 0551c017ae81: Waiting
2025-03-21T20:18:34.0694064Z 55a35e56f796: Waiting
2025-03-21T20:18:34.0694563Z c16e35c96614: Waiting
2025-03-21T20:18:34.0694950Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:34.0695432Z 3ad3c7d7d14a: Waiting
2025-03-21T20:18:34.0695883Z 788b314b21e5: Pulling fs layer
2025-03-21T20:18:34.0696286Z 9c1e20dd9a42: Waiting
2025-03-21T20:18:34.0696658Z 4116b07c7ca1: Waiting
2025-03-21T20:18:34.0697104Z 33d66e1ce781: Pulling fs layer
2025-03-21T20:18:34.0697769Z 145833aca283: Waiting
2025-03-21T20:18:34.0698737Z 32a4514e7ff5: Waiting
2025-03-21T20:18:34.0699406Z 84f191ac8f70: Pulling fs layer
2025-03-21T20:18:34.0699832Z cf6a0478ca56: Waiting
2025-03-21T20:18:34.0700472Z 8830bd728cbd: Waiting
2025-03-21T20:18:34.0700994Z 3b4cd7004f33: Waiting
2025-03-21T20:18:34.0701356Z a9de9234777c: Waiting
2025-03-21T20:18:34.0701786Z 87684e5c474c: Waiting
2025-03-21T20:18:34.0702259Z 02aa2fb43457: Waiting
2025-03-21T20:18:34.0702607Z 0b23b48b8fce: Waiting
2025-03-21T20:18:34.0702966Z 44b50c5e2ca6: Waiting
2025-03-21T20:18:34.0703316Z 3464920c9c02: Waiting
2025-03-21T20:18:34.0703669Z 5e7729c8c19f: Waiting
2025-03-21T20:18:34.0704279Z 224753fce160: Waiting
2025-03-21T20:18:34.0704628Z 4f4fb700ef54: Waiting
2025-03-21T20:18:34.0704976Z 84f191ac8f70: Waiting
2025-03-21T20:18:34.0705325Z 33d66e1ce781: Waiting
2025-03-21T20:18:34.0705676Z 788b314b21e5: Waiting
2025-03-21T20:18:34.1657315Z badf7cb767d1: Verifying Checksum
2025-03-21T20:18:34.1657846Z badf7cb767d1: Download complete
2025-03-21T20:18:34.2551284Z 32a4514e7ff5: Verifying Checksum
2025-03-21T20:18:34.2551817Z 32a4514e7ff5: Download complete
2025-03-21T20:18:34.4337431Z 9b850f5aae4c: Verifying Checksum
2025-03-21T20:18:34.4337963Z 9b850f5aae4c: Download complete
2025-03-21T20:18:34.5086393Z 41326e4613eb: Verifying Checksum
2025-03-21T20:18:34.5086903Z 41326e4613eb: Download complete
2025-03-21T20:18:34.5115727Z 37c6f550ae9b: Verifying Checksum
2025-03-21T20:18:34.5116235Z 37c6f550ae9b: Download complete
2025-03-21T20:18:34.5788181Z c5561e75697a: Verifying Checksum
2025-03-21T20:18:34.5788692Z c5561e75697a: Download complete
2025-03-21T20:18:34.5858574Z e6a0b1cdd23a: Verifying Checksum
2025-03-21T20:18:34.5859096Z e6a0b1cdd23a: Download complete
2025-03-21T20:18:34.6506678Z 55a35e56f796: Verifying Checksum
2025-03-21T20:18:34.6507211Z 55a35e56f796: Download complete
2025-03-21T20:18:34.6681118Z 4116b07c7ca1: Verifying Checksum
2025-03-21T20:18:34.6681983Z 4116b07c7ca1: Download complete
2025-03-21T20:18:34.7596036Z 3b4cd7004f33: Verifying Checksum
2025-03-21T20:18:34.7596911Z 3b4cd7004f33: Download complete
2025-03-21T20:18:35.0425354Z cf6a0478ca56: Verifying Checksum
2025-03-21T20:18:35.0425893Z cf6a0478ca56: Download complete
2025-03-21T20:18:35.1168486Z 145833aca283: Download complete
2025-03-21T20:18:35.1926926Z 1a18f7e26037: Verifying Checksum
2025-03-21T20:18:35.1927455Z 1a18f7e26037: Download complete
2025-03-21T20:18:35.2665526Z 82635263661e: Verifying Checksum
2025-03-21T20:18:35.2666040Z 82635263661e: Download complete
2025-03-21T20:18:35.5766782Z 9b850f5aae4c: Pull complete
2025-03-21T20:18:35.5994906Z badf7cb767d1: Pull complete
2025-03-21T20:18:35.6590980Z 0f89db74a98d: Verifying Checksum
2025-03-21T20:18:35.6591509Z 0f89db74a98d: Download complete
2025-03-21T20:18:35.7305064Z c16e35c96614: Verifying Checksum
2025-03-21T20:18:35.7305671Z c16e35c96614: Download complete
2025-03-21T20:18:35.8115045Z 3ad3c7d7d14a: Verifying Checksum
2025-03-21T20:18:35.8115587Z 3ad3c7d7d14a: Download complete
2025-03-21T20:18:35.8817377Z 8830bd728cbd: Verifying Checksum
2025-03-21T20:18:35.8817949Z 8830bd728cbd: Download complete
2025-03-21T20:18:35.9517272Z a9de9234777c: Download complete
2025-03-21T20:18:36.4280162Z 0551c017ae81: Verifying Checksum
2025-03-21T20:18:36.4280687Z 0551c017ae81: Download complete
2025-03-21T20:18:36.5022352Z 5e7729c8c19f: Verifying Checksum
2025-03-21T20:18:36.5024589Z 5e7729c8c19f: Download complete
2025-03-21T20:18:37.2485125Z 9c1e20dd9a42: Verifying Checksum
2025-03-21T20:18:37.2485659Z 9c1e20dd9a42: Download complete
2025-03-21T20:18:37.3422283Z 3464920c9c02: Verifying Checksum
2025-03-21T20:18:37.3422799Z 3464920c9c02: Download complete
2025-03-21T20:18:38.7861975Z 02aa2fb43457: Verifying Checksum
2025-03-21T20:18:38.7862506Z 02aa2fb43457: Download complete
2025-03-21T20:18:38.8575183Z 44b50c5e2ca6: Verifying Checksum
2025-03-21T20:18:38.8575917Z 44b50c5e2ca6: Download complete
2025-03-21T20:18:38.8821199Z 87684e5c474c: Verifying Checksum
2025-03-21T20:18:38.8821714Z 87684e5c474c: Download complete
2025-03-21T20:18:38.8904617Z 4f4fb700ef54: Download complete
2025-03-21T20:18:38.9221536Z 224753fce160: Verifying Checksum
2025-03-21T20:18:38.9222060Z 224753fce160: Download complete
2025-03-21T20:18:38.9488253Z 788b314b21e5: Verifying Checksum
2025-03-21T20:18:38.9488948Z 788b314b21e5: Download complete
2025-03-21T20:18:39.0159705Z 84f191ac8f70: Verifying Checksum
2025-03-21T20:18:39.0257922Z 33d66e1ce781: Verifying Checksum
2025-03-21T20:18:39.0258464Z 33d66e1ce781: Download complete
2025-03-21T20:18:40.0387987Z 0f89db74a98d: Pull complete
2025-03-21T20:18:40.0772482Z 32a4514e7ff5: Pull complete
2025-03-21T20:18:40.3089397Z 37c6f550ae9b: Pull complete
2025-03-21T20:18:40.3319345Z 41326e4613eb: Pull complete
2025-03-21T20:18:40.3544075Z c5561e75697a: Pull complete
2025-03-21T20:18:40.3766297Z e6a0b1cdd23a: Pull complete
2025-03-21T20:18:40.4045606Z 55a35e56f796: Pull complete
2025-03-21T20:18:40.4264626Z 4116b07c7ca1: Pull complete
2025-03-21T20:18:40.8732306Z cf6a0478ca56: Pull complete
2025-03-21T20:18:40.9005293Z 3b4cd7004f33: Pull complete
2025-03-21T20:18:46.7751430Z 9c1e20dd9a42: Pull complete
2025-03-21T20:18:46.7985413Z 145833aca283: Pull complete
2025-03-21T20:18:46.8231823Z 1a18f7e26037: Pull complete
2025-03-21T20:18:46.8459493Z 82635263661e: Pull complete
2025-03-21T20:18:47.4442410Z 0b23b48b8fce: Verifying Checksum
2025-03-21T20:18:47.4442939Z 0b23b48b8fce: Download complete
2025-03-21T20:18:48.9677290Z 0551c017ae81: Pull complete
2025-03-21T20:18:48.9905870Z c16e35c96614: Pull complete
2025-03-21T20:18:49.0138077Z 3ad3c7d7d14a: Pull complete
2025-03-21T20:18:49.0366011Z 8830bd728cbd: Pull complete
2025-03-21T20:18:49.0585844Z a9de9234777c: Pull complete
2025-03-21T20:19:21.4159170Z 0b23b48b8fce: Pull complete
2025-03-21T20:19:21.4394130Z 5e7729c8c19f: Pull complete
2025-03-21T20:19:28.1843615Z 02aa2fb43457: Pull complete
2025-03-21T20:19:28.2575810Z 3464920c9c02: Pull complete
2025-03-21T20:19:35.5544151Z 87684e5c474c: Pull complete
2025-03-21T20:19:35.6641716Z 44b50c5e2ca6: Pull complete
2025-03-21T20:19:35.9640741Z 224753fce160: Pull complete
2025-03-21T20:19:36.0467553Z 4f4fb700ef54: Pull complete
2025-03-21T20:19:36.1229672Z 788b314b21e5: Pull complete
2025-03-21T20:19:36.2023252Z 33d66e1ce781: Pull complete
2025-03-21T20:19:36.4597095Z 84f191ac8f70: Pull complete
2025-03-21T20:19:36.5811340Z Digest: sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:19:36.6229085Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:36.6413377Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:36.6499833Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:36.6501231Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:36.6511453Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:19:36.6512005Z env:
2025-03-21T20:19:36.6512400Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:19:36.6512938Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:36.6513346Z   PR_NUMBER: 
2025-03-21T20:19:36.6515781Z   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=emformer_transcribe
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}"

2025-03-21T20:19:36.6518468Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:36.6519291Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:36.6520081Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:36.6520645Z ##[endgroup]
2025-03-21T20:19:36.6755287Z ##[group]Run set -ex
2025-03-21T20:19:36.6755757Z set -ex
2025-03-21T20:19:36.6756085Z {
2025-03-21T20:19:36.6756418Z   echo "#!/usr/bin/env bash";
2025-03-21T20:19:36.6756894Z   echo "set -eou pipefail";
2025-03-21T20:19:36.6757356Z   # shellcheck disable=SC2016
2025-03-21T20:19:36.6757851Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:19:36.6758691Z   echo "set -x";
2025-03-21T20:19:36.6759085Z   echo "${SCRIPT}";
2025-03-21T20:19:36.6759503Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:36.6760001Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:36.6761034Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:19:36.6769328Z shell: /usr/bin/bash -e {0}
2025-03-21T20:19:36.6769761Z env:
2025-03-21T20:19:36.6770880Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:36.6772002Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:36.6772411Z   PR_NUMBER: 
2025-03-21T20:19:36.6774785Z   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=emformer_transcribe
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}"

2025-03-21T20:19:36.6777449Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:36.6778267Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:36.6779063Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:36.6780056Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:19:36.6780523Z ##[endgroup]
2025-03-21T20:19:36.6813146Z + echo '#!/usr/bin/env bash'
2025-03-21T20:19:36.6813635Z + echo 'set -eou pipefail'
2025-03-21T20:19:36.6814070Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:19:36.6814517Z + echo 'set -x'
2025-03-21T20:19:36.6815086Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:19:36.6815841Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:19:36.6816380Z conda activate "${CONDA_ENV}"
2025-03-21T20:19:36.6816639Z 
2025-03-21T20:19:36.6816807Z MODEL_NAME=emformer_transcribe
2025-03-21T20:19:36.6817201Z BUILD_TOOL="cmake"
2025-03-21T20:19:36.6817542Z BACKEND=portable
2025-03-21T20:19:36.6817757Z 
2025-03-21T20:19:36.6818165Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:19:36.6819328Z # Build and test ExecuTorch
2025-03-21T20:19:36.6820175Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
2025-03-21T20:19:36.6820934Z '
2025-03-21T20:19:36.6821375Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:19:36.6826533Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:20:02.3687089Z Running command: 
2025-03-21T20:20:02.3697468Z         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_f1f7a173-5c7f-490f-8fec-54ccb5208da9":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f1f7a173-5c7f-490f-8fec-54ccb5208da9"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:20:02.3705760Z         
2025-03-21T20:20:02.3706244Z c676c696c23e8ca4c04796b746356e1a1f1fd5ddc424802224ead5ec724d4fc8
2025-03-21T20:20:02.3707198Z Running command: docker exec -t c676c696c23e8ca4c04796b746356e1a1f1fd5ddc424802224ead5ec724d4fc8 /exec
2025-03-21T20:20:02.3708004Z ++ conda env list --json
2025-03-21T20:20:02.3708374Z ++ local cmd=env
2025-03-21T20:20:02.3708705Z ++ case "$cmd" in
2025-03-21T20:20:02.3709045Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:20:02.3709426Z ++ __conda_exe env list --json
2025-03-21T20:20:02.3709860Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:20:02.3710338Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:20:02.3710800Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:20:02.3711258Z + local cmd=activate
2025-03-21T20:20:02.3711600Z + case "$cmd" in
2025-03-21T20:20:02.3712011Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:20:02.3712517Z + '[' -n '' ']'
2025-03-21T20:20:02.3712849Z + local ask_conda
2025-03-21T20:20:02.3713189Z ++ PS1='(base) '
2025-03-21T20:20:02.3713633Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:20:02.3714330Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:20:02.3714941Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:20:02.3716159Z 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'\''
2025-03-21T20:20:02.3717446Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:20:02.3717946Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:20:02.3718381Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:20:02.3718890Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:20:02.3719410Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:20:02.3719914Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:20:02.3720769Z export _CE_M='\'''\''
2025-03-21T20:20:02.3721146Z export _CE_CONDA='\'''\''
2025-03-21T20:20:02.3721612Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:20:02.3722140Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:20:02.3723325Z 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'\''
2025-03-21T20:20:02.3724615Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:20:02.3725116Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:20:02.3725538Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:20:02.3726044Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:20:02.3726555Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:20:02.3727050Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:20:02.3727508Z export _CE_M='\'''\''
2025-03-21T20:20:02.3727875Z export _CE_CONDA='\'''\''
2025-03-21T20:20:02.3728346Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:20:02.3729140Z ++ PS1='(py_3.10) '
2025-03-21T20:20:02.3730285Z ++ 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
2025-03-21T20:20:02.3732328Z ++ 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
2025-03-21T20:20:02.3733546Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:20:02.3734055Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:20:02.3734511Z ++ export CONDA_SHLVL=2
2025-03-21T20:20:02.3734879Z ++ CONDA_SHLVL=2
2025-03-21T20:20:02.3735243Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:20:02.3735698Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:20:02.3736150Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:20:02.3736683Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:20:02.3737148Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:20:02.3737590Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:20:02.3738028Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:20:02.3738499Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:20:02.3738922Z ++ export _CE_M=
2025-03-21T20:20:02.3739258Z ++ _CE_M=
2025-03-21T20:20:02.3739573Z ++ export _CE_CONDA=
2025-03-21T20:20:02.3739924Z ++ _CE_CONDA=
2025-03-21T20:20:02.3740313Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:20:02.3740835Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:20:02.3741286Z + __conda_hashr
2025-03-21T20:20:02.3741617Z + '[' -n '' ']'
2025-03-21T20:20:02.3741943Z + '[' -n '' ']'
2025-03-21T20:20:02.3742269Z + hash -r
2025-03-21T20:20:02.3742615Z + MODEL_NAME=emformer_transcribe
2025-03-21T20:20:02.3743036Z + BUILD_TOOL=cmake
2025-03-21T20:20:02.3743379Z + BACKEND=portable
2025-03-21T20:20:02.3743752Z + PYTHON_EXECUTABLE=python
2025-03-21T20:20:02.3744246Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:20:02.3744794Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:20:02.3745252Z + source .ci/scripts/utils.sh
2025-03-21T20:20:02.3745697Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:20:02.3746178Z ++ parse_args --build-tool cmake
2025-03-21T20:20:02.3746612Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:20:02.3747021Z ++ local args
2025-03-21T20:20:02.3747335Z ++ local i
2025-03-21T20:20:02.3747650Z ++ local BUILD_TOOL=
2025-03-21T20:20:02.3748006Z ++ local BUILD_MODE=
2025-03-21T20:20:02.3748363Z ++ local EDITABLE=
2025-03-21T20:20:02.3748709Z ++ (( i=0 ))
2025-03-21T20:20:02.3749051Z ++ (( i<2 ))
2025-03-21T20:20:02.3749387Z ++ case "${args[$i]}" in
2025-03-21T20:20:02.3749765Z ++ BUILD_TOOL=cmake
2025-03-21T20:20:02.3750104Z ++ i=1
2025-03-21T20:20:02.3750411Z ++ (( i++ ))
2025-03-21T20:20:02.3750720Z ++ (( i<2 ))
2025-03-21T20:20:02.3751048Z ++ '[' -z cmake ']'
2025-03-21T20:20:02.3751409Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:20:02.3752091Z ++ BUILD_MODE=Release
2025-03-21T20:20:02.3752480Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:20:02.3752940Z ++ EDITABLE=false
2025-03-21T20:20:02.3753298Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:20:02.3753724Z ++ echo 'cmake Release false'
2025-03-21T20:20:02.3754137Z + [[ false == \t\r\u\e ]]
2025-03-21T20:20:02.3754561Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:20:02.3755056Z + which pip
2025-03-21T20:20:02.3755439Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:20:02.3756070Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:20:02.3756869Z 2025-03-21 20:20:01,097 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:20:02.3757786Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:20:02.3758930Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:20:02.3760402Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:20:02.3761711Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:20:02.3762728Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:20:02.3763435Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:20:02.3764697Z 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)
2025-03-21T20:20:02.3766415Z 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)
2025-03-21T20:20:02.3767643Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:20:02.3768545Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (6.3 kB)
2025-03-21T20:20:02.3769891Z 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)
2025-03-21T20:20:02.3771579Z 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)
2025-03-21T20:20:02.3773193Z 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)
2025-03-21T20:20:02.3774804Z 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)
2025-03-21T20:20:02.3776353Z 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)
2025-03-21T20:20:02.3777908Z 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)
2025-03-21T20:20:02.3779655Z 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)
2025-03-21T20:20:02.3781492Z 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)
2025-03-21T20:20:02.3783339Z 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)
2025-03-21T20:20:02.3785217Z 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)
2025-03-21T20:20:20.7466398Z 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)
2025-03-21T20:20:20.7469124Z 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)
2025-03-21T20:20:20.7471051Z 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)
2025-03-21T20:20:20.7472991Z 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)
2025-03-21T20:20:20.7474909Z 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)
2025-03-21T20:20:20.7476570Z 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)
2025-03-21T20:20:20.7478231Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:20:20.7479550Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:20:20.7480829Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:20:20.7482091Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:20:20.7483439Z 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)
2025-03-21T20:20:20.7484864Z 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)
2025-03-21T20:20:20.7486305Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:20:20.7488113Z 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)
2025-03-21T20:20:20.7490171Z 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)
2025-03-21T20:20:20.7492263Z 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)
2025-03-21T20:20:20.7494307Z 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)
2025-03-21T20:20:20.7495628Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:20:20.7497175Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-03-21T20:20:20.7498173Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 104.2 MB/s eta 0:00:00
2025-03-21T20:20:20.7499245Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (27.2 MB)
2025-03-21T20:20:20.7500332Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.2 MB ? eta -:--:--
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2025-03-21T20:20:20.7502064Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:20:20.7502578Z   Attempting uninstall: timm
2025-03-21T20:20:20.7503027Z     Found existing installation: timm 0.6.13
2025-03-21T20:20:20.7503506Z     Uninstalling timm-0.6.13:
2025-03-21T20:20:20.7504237Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:20:20.7505179Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:20:20.7505698Z Processing ./third-party/ao
2025-03-21T20:20:20.7506307Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-21T20:20:20.7506986Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:20:20.7507771Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - done
2025-03-21T20:20:20.7509309Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=6fa2f55e96d3a76e4a16b9291b13ce65c6db007d707e78ce74efb9c9315dec8f
2025-03-21T20:20:20.7510977Z   Stored in directory: /tmp/pip-ephem-wheel-cache-rtp65v98/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:20:20.7511930Z Successfully built torchao
2025-03-21T20:20:20.7512355Z Installing collected packages: torchao
2025-03-21T20:20:20.7512878Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:20:20.7513647Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-03-21T20:20:20.7515406Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:20:20.7516211Z Processing /pytorch/executorch
2025-03-21T20:20:20.7516706Z   Running command Preparing metadata (pyproject.toml)
2025-03-21T20:20:20.7517223Z   running dist_info
2025-03-21T20:20:20.7517732Z   creating /tmp/pip-modern-metadata-rt5izplr/executorch.egg-info
2025-03-21T20:20:20.7518533Z   writing /tmp/pip-modern-metadata-rt5izplr/executorch.egg-info/PKG-INFO
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2025-03-21T20:20:20.7524949Z   reading manifest file '/tmp/pip-modern-metadata-rt5izplr/executorch.egg-info/SOURCES.txt'
2025-03-21T20:20:20.7525706Z   adding license file 'LICENSE'
2025-03-21T20:20:20.7526405Z   writing manifest file '/tmp/pip-modern-metadata-rt5izplr/executorch.egg-info/SOURCES.txt'
2025-03-21T20:20:20.7527423Z   creating '/tmp/pip-modern-metadata-rt5izplr/executorch-0.6.0a0+be92d7d.dist-info'
2025-03-21T20:20:20.7528416Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
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2025-03-21T20:20:20.7532474Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-03-21T20:20:20.7534283Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
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2025-03-21T20:20:20.7546094Z Collecting pytest-xdist (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:20.7547731Z   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
2025-03-21T20:20:20.7549418Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
2025-03-21T20:20:20.7550183Z Collecting pytest-rerunfailures (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:20.7552188Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/89/37/54e5ffc7c0cebee7cf30a3ac5915faa7e7abf8bdfdf3228c277f7c192489/pytest_rerunfailures-15.0-py3-none-any.whl.metadata
2025-03-21T20:20:20.7554101Z   Downloading pytest_rerunfailures-15.0-py3-none-any.whl.metadata (19 kB)
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2025-03-21T20:20:35.6807591Z   Obtaining dependency information for tabulate from https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl.metadata
2025-03-21T20:20:35.6809297Z   Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
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2025-03-21T20:20:35.6828408Z Collecting pytest (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:35.6829952Z   Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl.metadata
2025-03-21T20:20:35.6831687Z   Downloading pytest-8.3.5-py3-none-any.whl.metadata (7.6 kB)
2025-03-21T20:20:35.6832441Z Collecting execnet>=2.1 (from pytest-xdist->executorch==0.6.0a0+be92d7d)
2025-03-21T20:20:35.6834123Z   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
2025-03-21T20:20:35.6835806Z   Downloading execnet-2.1.1-py3-none-any.whl.metadata (2.9 kB)
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2025-03-21T20:20:35.6844316Z Building wheels for collected packages: executorch
2025-03-21T20:20:35.6844974Z   Running command Building wheel for executorch (pyproject.toml)
2025-03-21T20:20:35.6845555Z   running bdist_wheel
2025-03-21T20:20:35.6845903Z   running build
2025-03-21T20:20:35.6846275Z   command options for 'CustomBuild':
2025-03-21T20:20:35.6846750Z     build_base = pip-out
2025-03-21T20:20:35.6847168Z     build_purelib = pip-out/lib
2025-03-21T20:20:35.6847673Z     build_platlib = pip-out/lib.linux-aarch64-cpython-310
2025-03-21T20:20:35.6848272Z     build_lib = pip-out/lib.linux-aarch64-cpython-310
2025-03-21T20:20:35.6848821Z     build_scripts = pip-out/scripts-3.10
2025-03-21T20:20:35.6849365Z     build_temp = pip-out/temp.linux-aarch64-cpython-310
2025-03-21T20:20:35.6849889Z     plat_name = linux-aarch64
2025-03-21T20:20:35.6850306Z     compiler = None
2025-03-21T20:20:35.6850774Z     parallel = 7
2025-03-21T20:20:35.6851128Z     debug = None
2025-03-21T20:20:35.6851464Z     force = None
2025-03-21T20:20:35.6851874Z     executable = /opt/conda/envs/py_3.10/bin/python
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2025-03-21T20:20:35.6869920Z   Call Stack (most recent call first):
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2025-03-21T20:20:36.4081410Z   /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’:
2025-03-21T20:20:36.4084805Z   /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]
2025-03-21T20:20:36.4087365Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:36.4088726Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.4089414Z         |                                                                  |
2025-03-21T20:20:36.4090132Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:36.4092196Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.4095289Z   /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 *’
2025-03-21T20:20:36.4096914Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.4097434Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.4099973Z   /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]
2025-03-21T20:20:36.4102379Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:36.4103197Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.4104181Z         |                                                                |
2025-03-21T20:20:36.4105789Z         |                                                                const xnn_float16 *
2025-03-21T20:20:36.4107141Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.4109747Z   /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 *’
2025-03-21T20:20:36.4111157Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.4111735Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.4114018Z   /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]
2025-03-21T20:20:36.4116439Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:36.5486607Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5487283Z         |                                                                |
2025-03-21T20:20:36.5487808Z         |                                                                const xnn_float16 *
2025-03-21T20:20:36.5488977Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5491328Z   /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 *’
2025-03-21T20:20:36.5492521Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.5492992Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.5494909Z   /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]
2025-03-21T20:20:36.5496873Z     300 |           vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:36.5497687Z         |                         ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5498129Z         |                         |
2025-03-21T20:20:36.5498589Z         |                         uint16_t * {aka short unsigned int *}
2025-03-21T20:20:36.5500248Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5502256Z   /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 *’}
2025-03-21T20:20:36.5503540Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:36.5504315Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:36.5505450Z   [  8%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c.o
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2025-03-21T20:20:36.5521380Z   /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]
2025-03-21T20:20:36.5523249Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:36.5524009Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5524533Z         |                                                                  |
2025-03-21T20:20:36.5525055Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:36.5526189Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5528207Z   /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 *’
2025-03-21T20:20:36.5529395Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.5529864Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.5531791Z   /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]
2025-03-21T20:20:36.5533612Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:36.5534336Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5556435Z         |                                                                |
2025-03-21T20:20:36.5558390Z         |                                                                const xnn_float16 *
2025-03-21T20:20:36.5559548Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5561867Z   /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 *’
2025-03-21T20:20:36.5563065Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.5563538Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.5565388Z   /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]
2025-03-21T20:20:36.5567287Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:36.5568627Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5569174Z         |                                                                |
2025-03-21T20:20:36.5569702Z         |                                                                const xnn_float16 *
2025-03-21T20:20:36.5570938Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5573090Z   /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 *’
2025-03-21T20:20:36.5574267Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:36.5574738Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:36.5576596Z   /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]
2025-03-21T20:20:36.5578544Z     165 |         vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:36.5579333Z         |                       ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5579774Z         |                       |
2025-03-21T20:20:36.5580224Z         |                       uint16_t * {aka short unsigned int *}
2025-03-21T20:20:36.5581338Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:36.5583326Z   /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 *’}
2025-03-21T20:20:36.5584599Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:36.5585199Z         |                ~~~~~~~~~~^~~
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2025-03-21T20:20:36.5589723Z   /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’:
2025-03-21T20:20:36.5592669Z   /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]
2025-03-21T20:20:36.5594567Z      53 |   const float16x4_t vmax = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.max));
2025-03-21T20:20:36.5595530Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:36.5596050Z         |                                                              |
2025-03-21T20:20:36.5596568Z         |                                                              const xnn_float16 *
2025-03-21T20:20:37.2716668Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
2025-03-21T20:20:37.2719032Z   /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 *’
2025-03-21T20:20:37.2720220Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:37.2720681Z         |               ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:37.2723023Z   /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]
2025-03-21T20:20:37.2724989Z      54 |   const float16x4_t vmin = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.min));
2025-03-21T20:20:37.2725708Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:37.2726220Z         |                                                              |
2025-03-21T20:20:37.2726736Z         |                                                              const xnn_float16 *
2025-03-21T20:20:37.2727946Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
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2025-03-21T20:20:37.2731302Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:37.2731789Z         |               ~~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:38.0990061Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o
2025-03-21T20:20:38.0991079Z   [ 65%] Building CXX object CMakeFiles/flatc.dir/src/flatc.cpp.o
2025-03-21T20:20:38.0992371Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c.o
2025-03-21T20:20:38.0994902Z   /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’:
2025-03-21T20:20:38.0997715Z   /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]
2025-03-21T20:20:38.0999674Z      28 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:38.1000466Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.1001000Z         |                                                                       |
2025-03-21T20:20:38.1001542Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.1002695Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.1005110Z   /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 *’
2025-03-21T20:20:38.1006306Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.1006772Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.1009107Z   /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]
2025-03-21T20:20:38.1988698Z      29 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:38.1989576Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.1990099Z         |                                                                       |
2025-03-21T20:20:38.1990631Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.1991782Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.1994399Z   /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 *’
2025-03-21T20:20:38.1995636Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.1996102Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.1997207Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c.o
2025-03-21T20:20:38.1999495Z   /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’:
2025-03-21T20:20:38.2002311Z   /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]
2025-03-21T20:20:38.2004493Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:38.2005308Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.2005829Z         |                                                                       |
2025-03-21T20:20:38.2006360Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.2007518Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2009550Z   /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 *’
2025-03-21T20:20:38.2010833Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2011302Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.2013186Z   /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]
2025-03-21T20:20:38.2015885Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:38.2016694Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.2017220Z         |                                                                       |
2025-03-21T20:20:38.2017770Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.2018923Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2021291Z   /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 *’
2025-03-21T20:20:38.2022925Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2023476Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.2025375Z   /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]
2025-03-21T20:20:38.2027801Z     239 |       const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:38.2028806Z         |                                                                           ^~~~~~~~~~
2025-03-21T20:20:38.2029339Z         |                                                                           |
2025-03-21T20:20:38.2029876Z         |                                                                           const xnn_float16 *
2025-03-21T20:20:38.2031316Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2033378Z   /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 *’
2025-03-21T20:20:38.2034562Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2035029Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.2036129Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-scalar-imagic-u4.c.o
2025-03-21T20:20:38.2037832Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o
2025-03-21T20:20:38.2039999Z   /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’:
2025-03-21T20:20:38.2042804Z   /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]
2025-03-21T20:20:38.2044742Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:38.2045544Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.2046079Z         |                                                                       |
2025-03-21T20:20:38.2046619Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.2047772Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2049781Z   /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 *’
2025-03-21T20:20:38.2051092Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2051561Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.2053410Z   /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]
2025-03-21T20:20:38.2055301Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:38.2056075Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.2056599Z         |                                                                       |
2025-03-21T20:20:38.2057131Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:38.2058549Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2060554Z   /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 *’
2025-03-21T20:20:38.2061735Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2062201Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.2064034Z   /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]
2025-03-21T20:20:38.2066408Z     106 |     const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:38.2067580Z         |                                                                         ^~~~~~~~~~
2025-03-21T20:20:38.2068138Z         |                                                                         |
2025-03-21T20:20:38.2068690Z         |                                                                         const xnn_float16 *
2025-03-21T20:20:38.2069858Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:38.2071898Z   /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 *’
2025-03-21T20:20:38.2073077Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.2073555Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.9875757Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c.o
2025-03-21T20:20:38.9877906Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-neonfp16arith-u32-acc4.c.o
2025-03-21T20:20:38.9880251Z   /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’:
2025-03-21T20:20:38.9882916Z   /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]
2025-03-21T20:20:38.9884874Z      32 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:38.9885628Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.9886138Z         |                                                                  |
2025-03-21T20:20:38.9886702Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:38.9887811Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c:12:
2025-03-21T20:20:38.9889773Z   /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 *’
2025-03-21T20:20:38.9891065Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:38.9891544Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:38.9892605Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-scalar-u2-acc2.c.o
2025-03-21T20:20:38.9894087Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o
2025-03-21T20:20:38.9895571Z   [ 68%] Building CXX object CMakeFiles/flatc.dir/src/flatc_main.cpp.o
2025-03-21T20:20:38.9896344Z   [ 71%] Building CXX object CMakeFiles/flatc.dir/src/binary_annotator.cpp.o
2025-03-21T20:20:38.9897192Z   [ 73%] Building CXX object CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o
2025-03-21T20:20:38.9898560Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rminmax-neonfp16arith-u32-acc4.c.o
2025-03-21T20:20:38.9900137Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o
2025-03-21T20:20:38.9902499Z   /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’:
2025-03-21T20:20:38.9906187Z   /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]
2025-03-21T20:20:38.9908129Z     189 |   vst1_lane_u16(sum, vreinterpret_u16_f16(vacc_lo), 0);
2025-03-21T20:20:38.9908660Z         |                 ^~~
2025-03-21T20:20:38.9909037Z         |                 |
2025-03-21T20:20:38.9909426Z         |                 xnn_float16 *
2025-03-21T20:20:38.9910703Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c:12:
2025-03-21T20:20:38.9912815Z   /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 *’
2025-03-21T20:20:38.9914007Z   26591 | vst1_lane_u16 (uint16_t *__a, uint16x4_t __b, const int __lane)
2025-03-21T20:20:38.9914590Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:38.9915683Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rminmax-scalar-u2-acc2.c.o
2025-03-21T20:20:38.9917210Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o
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2025-03-21T20:20:45.1060968Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-03-21T20:20:45.1062348Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c.o
2025-03-21T20:20:45.1063857Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:20:45.1065242Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c.o
2025-03-21T20:20:45.1066698Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_arange.cpp.o
2025-03-21T20:20:45.1068145Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c.o
2025-03-21T20:20:45.1069684Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:45.1070932Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:45.1072033Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:20:45.1073406Z                    from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:20:45.1076252Z   /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>)’:
2025-03-21T20:20:45.1080049Z   /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
2025-03-21T20:20:45.1082100Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:45.1082734Z         |                                                             ^
2025-03-21T20:20:45.1083981Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vadd-neon-u8.c.o
2025-03-21T20:20:45.1086250Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_argmax.cpp.o
2025-03-21T20:20:45.1087663Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vadd-scalar-u8.c.o
2025-03-21T20:20:45.1089169Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_argmin.cpp.o
2025-03-21T20:20:45.1090350Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:20:45.1091648Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:20:45.1092980Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vaddc-neon-u8.c.o
2025-03-21T20:20:45.1094345Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:20:45.1095711Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vaddc-scalar-u8.c.o
2025-03-21T20:20:45.1097177Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_as_strided_copy.cpp.o
2025-03-21T20:20:45.1098679Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vdiv-aarch64-neon-u8.c.o
2025-03-21T20:20:45.1100197Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_asin.cpp.o
2025-03-21T20:20:45.1101425Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:20:45.1102710Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:45.1106843Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:45.1108112Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:20:45.1109311Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:20:45.1110459Z                    from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:20:45.1149202Z   /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>)’:
2025-03-21T20:20:45.1155991Z   /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
2025-03-21T20:20:45.1158857Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:45.1159507Z         |                                                             ^
2025-03-21T20:20:45.1160294Z   [ 46%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_neg.cpp.o
2025-03-21T20:20:45.1162954Z   [ 46%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vdiv-scalar-u2.c.o
2025-03-21T20:20:45.1164401Z   [ 46%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_asinh.cpp.o
2025-03-21T20:20:45.1167711Z   [ 47%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-vbinary/gen/f32-vdivc-aarch64-neon-u8.c.o
2025-03-21T20:20:45.1169254Z   [ 47%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_sigmoid.cpp.o
2025-03-21T20:20:45.1171843Z   [ 47%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_sub.cpp.o
2025-03-21T20:20:45.1172929Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:45.1178676Z   /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]’:
2025-03-21T20:20:45.1217352Z   /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>]’
2025-03-21T20:20:45.1221304Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1223412Z   /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
2025-03-21T20:20:45.1224919Z     170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:45.1225513Z         | ^~~~~~~~~~~~~~
2025-03-21T20:20:45.1228429Z   /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]’:
2025-03-21T20:20:45.1234536Z   /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>]’
2025-03-21T20:20:45.1238673Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1240752Z   /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
2025-03-21T20:20:45.1244777Z   /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]’:
2025-03-21T20:20:45.1250161Z   /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]’
2025-03-21T20:20:45.1256956Z   /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>]’
2025-03-21T20:20:45.1260611Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1262694Z   /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
2025-03-21T20:20:45.1264238Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:45.1264827Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:45.1267896Z   /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]’:
2025-03-21T20:20:45.1272968Z   /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]’
2025-03-21T20:20:45.1278909Z   /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>]’
2025-03-21T20:20:45.1282543Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1284883Z   /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
2025-03-21T20:20:45.1286366Z   In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:20:45.1287011Z                    from /usr/include/c++/11/array:38,
2025-03-21T20:20:45.1287755Z                    from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:20:45.1288692Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:20:45.1289610Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:20:45.1290657Z                    from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:20:45.1294642Z   /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]’:
2025-03-21T20:20:45.1300309Z   /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]’
2025-03-21T20:20:45.1643345Z   /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]’
2025-03-21T20:20:45.1649517Z   /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>]’
2025-03-21T20:20:45.1654746Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1656733Z   /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
2025-03-21T20:20:45.1657955Z     567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:20:45.1658419Z         |     ^~~~~~~~~
2025-03-21T20:20:45.1661896Z   /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]’:
2025-03-21T20:20:45.1668288Z   /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]’
2025-03-21T20:20:45.1673412Z   /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]’
2025-03-21T20:20:45.1679567Z   /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>]’
2025-03-21T20:20:45.1683262Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:45.1696874Z   /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
2025-03-21T20:20:45.1700711Z   /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]’:
2025-03-21T20:20:45.1713364Z   /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
2025-03-21T20:20:45.1715084Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:45.1715691Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:45.1718986Z   /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]’:
2025-03-21T20:20:45.1722934Z   /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
2025-03-21T20:20:45.1724562Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:45.1727396Z   /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]’:
2025-03-21T20:20:45.1730832Z   /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
2025-03-21T20:20:45.1732862Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:45.1733443Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:45.1737427Z   /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&)’:
2025-03-21T20:20:45.1742279Z   /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
2025-03-21T20:20:45.1743789Z     114 | std::tuple<Tensor&, Tensor&, Tensor&> opt_native_layer_norm_out(
2025-03-21T20:20:45.1744442Z         |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:45.1746130Z   /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
2025-03-21T20:20:45.1748636Z   /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
2025-03-21T20:20:45.1751185Z   /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
2025-03-21T20:20:45.1752661Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:45.1753241Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:45.1754865Z   /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
2025-03-21T20:20:45.1756320Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:45.1756907Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
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2025-03-21T20:20:55.4942019Z   /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]
2025-03-21T20:20:55.4943741Z      29 |   const int16x8_t vinput_zero_point = vld1q_dup_s16(&params->scalar.input_zero_point);
2025-03-21T20:20:55.4944480Z         |                                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:55.4945000Z         |                                                     |
2025-03-21T20:20:55.4945538Z         |                                                     const int32_t * {aka const int *}
2025-03-21T20:20:55.4946571Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:55.4948462Z   /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 *’}
2025-03-21T20:20:55.4949658Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:55.4950127Z         |                ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:55.4951813Z   /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]
2025-03-21T20:20:55.4953543Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:55.4954335Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:55.4954858Z         |                                                      |
2025-03-21T20:20:55.4955380Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:55.4956409Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:56.3883159Z   /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 *’}
2025-03-21T20:20:56.3884598Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:56.3885215Z         |                ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:56.7491305Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c: In function ‘xnn_qu8_vlrelu_ukernel__neon_u32’:
2025-03-21T20:20:56.7493730Z   /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]
2025-03-21T20:20:56.7495476Z      29 |   const uint16x8_t vinput_zero_point = vld1q_dup_u16(&params->scalar.input_zero_point);
2025-03-21T20:20:56.7496219Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:56.7496960Z         |                                                      |
2025-03-21T20:20:56.7497569Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:56.7498616Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:56.7500611Z   /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 *’}
2025-03-21T20:20:56.7501861Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:56.7502733Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:56.7504649Z   /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]
2025-03-21T20:20:56.7506390Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:56.7507165Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:56.7507676Z         |                                                      |
2025-03-21T20:20:56.7508204Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:56.7509239Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:56.7511466Z   /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 *’}
2025-03-21T20:20:56.7512709Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:56.7513179Z         |                ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:56.7514236Z   [ 91%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/s8-ibilinear/gen/s8-ibilinear-neon-c16.c.o
2025-03-21T20:20:56.7515901Z   [ 91%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/s8-ibilinear/gen/s8-ibilinear-neon-c8.c.o
2025-03-21T20:20:56.7517570Z   [ 91%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c1.c.o
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2025-03-21T20:20:56.7531427Z   /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’:
2025-03-21T20:20:56.7533976Z   /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]
2025-03-21T20:20:56.7535654Z      28 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:56.7536284Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:56.7536779Z         |                                              |
2025-03-21T20:20:56.7537324Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:56.7538418Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:56.7540738Z   /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 *’}
2025-03-21T20:20:56.7541926Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:56.7542378Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:56.7544150Z   /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]
2025-03-21T20:20:56.7545993Z      29 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:56.7546662Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:56.7547157Z         |                                              |
2025-03-21T20:20:56.7547666Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:56.7548944Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:56.7550932Z   /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 *’}
2025-03-21T20:20:56.7552129Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:56.7552576Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:56.7575059Z   [ 92%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/u8-lut32norm/u8-lut32norm-scalar.c.o
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2025-03-21T20:20:56.7579036Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c: In function ‘xnn_s8_vclamp_ukernel__neon_u64’:
2025-03-21T20:20:56.7581390Z   /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]
2025-03-21T20:20:56.7582974Z      24 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:56.7583603Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:56.7584095Z         |                                              |
2025-03-21T20:20:56.7584594Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:56.7585576Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:57.0693211Z   /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 *’}
2025-03-21T20:20:57.0694564Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:57.0695058Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:57.0696722Z   /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]
2025-03-21T20:20:57.0698311Z      25 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:57.0698935Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:57.0699425Z         |                                              |
2025-03-21T20:20:57.0699938Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:57.0700920Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:57.0702780Z   /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 *’}
2025-03-21T20:20:57.0704551Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:57.0705004Z         |               ~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:57.0716499Z   /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’:
2025-03-21T20:20:57.0719037Z   /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]
2025-03-21T20:20:57.0720696Z      31 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:57.0721321Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:57.0721808Z         |                                               |
2025-03-21T20:20:57.0722358Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:57.0723460Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:57.0725476Z   /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 *’}
2025-03-21T20:20:57.0726721Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:57.0727182Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:57.0728930Z   /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]
2025-03-21T20:20:57.0730710Z      32 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:57.0731596Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:57.0732100Z         |                                               |
2025-03-21T20:20:57.0732638Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:57.0733745Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:57.0735785Z   /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 *’}
2025-03-21T20:20:57.0737052Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:57.0737508Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:57.0744550Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c: In function ‘xnn_u8_vclamp_ukernel__neon_u64’:
2025-03-21T20:20:57.0746842Z   /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]
2025-03-21T20:20:57.0748422Z      24 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:57.0749051Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:57.0749544Z         |                                               |
2025-03-21T20:20:57.0750087Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:57.0751080Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:57.0752988Z   /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 *’}
2025-03-21T20:20:57.0754232Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:57.0754685Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:57.0756288Z   /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]
2025-03-21T20:20:57.0757852Z      25 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:57.0758508Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:57.0758997Z         |                                               |
2025-03-21T20:20:57.0759528Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:57.0760518Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:57.0762415Z   /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 *’}
2025-03-21T20:20:57.0763654Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:57.0764102Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:21:11.3462339Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3464208Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3466918Z   /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]’:
2025-03-21T20:21:11.3473295Z   /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]’
2025-03-21T20:21:11.3475727Z   /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:70:3:   required from here
2025-03-21T20:21:11.3492623Z   /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:
2025-03-21T20:21:11.3495710Z     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];
2025-03-21T20:21:11.3496684Z         |              ~~~~~~~^~~~
2025-03-21T20:21:11.3497714Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3499056Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3500643Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3502640Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3505919Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3507667Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3509417Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3511393Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3512844Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3513424Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3515002Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3517299Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3519849Z   /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)
2025-03-21T20:21:11.3521895Z     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];
2025-03-21T20:21:11.3522932Z         |              ~~~~~~~^~~~
2025-03-21T20:21:11.3525425Z   /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:
2025-03-21T20:21:11.3528101Z     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];
2025-03-21T20:21:11.3528877Z         |              ~~~~~~~^~~~
2025-03-21T20:21:11.3529767Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3531344Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3532660Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3534433Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3535663Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3537497Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3538970Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3540994Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3542810Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3543479Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3544777Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3546661Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3549218Z   /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)
2025-03-21T20:21:11.3551831Z     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];
2025-03-21T20:21:11.3552620Z         |              ~~~~~~~^~~~
2025-03-21T20:21:11.3554832Z   /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:
2025-03-21T20:21:11.3558103Z     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];
2025-03-21T20:21:11.3559281Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3560041Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3561626Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3563115Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3564885Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3566731Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3568595Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3570178Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3572740Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:11.3574201Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:11.3574938Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3576494Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3578360Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3581117Z   /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)
2025-03-21T20:21:11.3583447Z     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];
2025-03-21T20:21:11.3584385Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3586886Z   /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:
2025-03-21T20:21:11.3589480Z     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];
2025-03-21T20:21:11.3590661Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3591385Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3619185Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3620541Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3622239Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3623703Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3625552Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3627240Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3629082Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:11.3630569Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:11.3631139Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3632545Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3634129Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3636979Z   /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)
2025-03-21T20:21:11.3645007Z     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];
2025-03-21T20:21:11.3646096Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3647929Z   /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:
2025-03-21T20:21:11.3650402Z     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];
2025-03-21T20:21:11.3651620Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3652371Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3653543Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3655149Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3656468Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3657932Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3659552Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3660846Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3662987Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:11.3664133Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:11.3664696Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3666073Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3667732Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3669870Z   /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)
2025-03-21T20:21:11.3672411Z     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];
2025-03-21T20:21:11.3673481Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3675298Z   /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:
2025-03-21T20:21:11.3677960Z     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];
2025-03-21T20:21:11.3679062Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3679786Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3680945Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3682620Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3684363Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3685588Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3687212Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3688545Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3690674Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3692144Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3692723Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3693832Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3695493Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3697892Z   /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)
2025-03-21T20:21:11.3700067Z     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];
2025-03-21T20:21:11.3700862Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3702912Z   /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:
2025-03-21T20:21:11.3705244Z     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];
2025-03-21T20:21:11.3706806Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3707556Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3708723Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3710327Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3711651Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3713206Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3714554Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3788241Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3790586Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3792163Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3792753Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3793865Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3795609Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3797985Z   /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)
2025-03-21T20:21:11.3800187Z     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];
2025-03-21T20:21:11.3800973Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3803035Z   /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:
2025-03-21T20:21:11.3806348Z     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];
2025-03-21T20:21:11.3807170Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3808474Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3809671Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3811364Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3812689Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3813890Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3815554Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3817090Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3819718Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:11.3820899Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:11.3821459Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3822894Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3824318Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3826713Z   /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)
2025-03-21T20:21:11.3829263Z     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];
2025-03-21T20:21:11.3830098Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3832246Z   /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:
2025-03-21T20:21:11.3834730Z     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];
2025-03-21T20:21:11.3835518Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3836237Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3837735Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3839056Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3840665Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3841872Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3843517Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3844805Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3846853Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3848463Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3849065Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3850178Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3851992Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:11.3854386Z   /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)
2025-03-21T20:21:11.3856301Z     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];
2025-03-21T20:21:11.3857649Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3859710Z   /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:
2025-03-21T20:21:11.3861894Z     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];
2025-03-21T20:21:11.3862926Z         |               ~~~~~~~^~~~
2025-03-21T20:21:11.3863664Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:11.3865052Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:11.3866755Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:11.3868106Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:11.3869593Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:11.3870932Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:11.3872484Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:11.3874519Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:11.3875872Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:11.3876444Z         |                              ^~~~~~~~
2025-03-21T20:21:11.3877885Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:11.3879292Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:13.1989567Z   /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)
2025-03-21T20:21:13.1991503Z     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];
2025-03-21T20:21:13.1992347Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.1994151Z   /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:
2025-03-21T20:21:13.1996299Z     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];
2025-03-21T20:21:13.1997072Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.1997805Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:13.1998971Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:13.2000742Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:13.2002057Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:13.2003268Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:13.2004856Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:13.2006129Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:13.2009566Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:13.2010899Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:13.2011824Z         |                              ^~~~~~~~
2025-03-21T20:21:13.2012948Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:13.2014338Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:13.2016460Z   /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)
2025-03-21T20:21:13.2018322Z     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];
2025-03-21T20:21:13.2019104Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.2020919Z   /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:
2025-03-21T20:21:13.2023053Z     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];
2025-03-21T20:21:13.2023816Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.2024533Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:13.2025686Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:13.2027002Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:13.2028328Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:13.2029519Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:13.2030854Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:13.2032123Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:13.2033772Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:13.2034930Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:13.2035829Z         |                              ^~~~~~~~
2025-03-21T20:21:13.2036946Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:13.2038341Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:13.2040420Z   /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)
2025-03-21T20:21:13.2042267Z     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];
2025-03-21T20:21:13.2043033Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.2044974Z   /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:
2025-03-21T20:21:13.2047153Z     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];
2025-03-21T20:21:13.2047925Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.2048650Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:13.2049822Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:13.2051244Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:13.2052609Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:13.2053820Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:13.2055163Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:13.2056571Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:13.2058259Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:13.2059413Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:13.2059991Z         |                              ^~~~~~~~
2025-03-21T20:21:13.2061130Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:13.2062521Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:13.2064603Z   /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)
2025-03-21T20:21:13.2066498Z     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];
2025-03-21T20:21:13.2067276Z         |               ~~~~~~~^~~~
2025-03-21T20:21:13.2067777Z   [100%] Linking CXX shared library libcustom_ops_aot_lib.so
2025-03-21T20:21:13.2068596Z   [100%] Built target custom_ops_aot_lib
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2025-03-21T20:21:13.2070399Z   [  4%] Built target cpuinfo
2025-03-21T20:21:22.5869335Z   [  5%] Built target flatcc
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2025-03-21T20:21:22.5911200Z   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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2025-03-21T20:21:22.6108696Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:21:22.6110077Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:21:22.6111397Z   copying backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:21:22.6113057Z   copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:21:22.6114446Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:22.6115753Z   copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:22.6117711Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:22.6119069Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:22.6120382Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:22.6122021Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:22.6123410Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:22.6124916Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:22.6126369Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:22.6128030Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:22.6129471Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6130802Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6132373Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6133966Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6135513Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6137089Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6138700Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6140311Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6141950Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6143560Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6145180Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6146781Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6148314Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6149901Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6151477Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6152999Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6154538Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6156092Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6157829Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6159377Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6160905Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:22.6162173Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:22.6163419Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:22.6164977Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:22.6259467Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:22.6261323Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:22.6263122Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:22.6264483Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6265641Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6267083Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6268597Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6270109Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6271570Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6273040Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6274507Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:22.6275709Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:22.6276898Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:22.6278340Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:22.6279535Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6280639Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6282086Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6283635Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6285059Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6286708Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6308088Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6309868Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6311345Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6312848Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6314334Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6315763Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6317159Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6318813Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6320246Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6321660Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6323086Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6324502Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6325946Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6327378Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6328791Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6330199Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6331797Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6333269Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6334740Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6336240Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6337676Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6339148Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6340614Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6342001Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6343433Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6344878Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6346490Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6347887Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6349221Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6350626Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6352065Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6353526Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6355159Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:22.6356484Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6357735Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6359323Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6360966Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6362561Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6364425Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6366106Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6367865Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6369484Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6371219Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:22.6452115Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6453325Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6454808Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6456340Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6457669Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6459000Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6460340Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6461657Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6463023Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6464900Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6466225Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6467559Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6468965Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6470609Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6471935Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6473238Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6474793Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6476134Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6477466Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6478799Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6480101Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6481401Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6482700Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6484072Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6485462Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6486842Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6488189Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6489542Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6491043Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6492449Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6493842Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6495218Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6496576Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6497942Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6499307Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6500637Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6501962Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6503467Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6504970Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6506313Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6507717Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6509142Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6510600Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6512267Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6513651Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6515023Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:22.6516169Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6517293Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6518654Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6520101Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6521800Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6523334Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:22.6524528Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:22.6525560Z   copying backends/arm/test/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:22.6526775Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:22.6528022Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:22.6529277Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:22.6530321Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:22.6531540Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:22.6532685Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6533915Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6535391Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6536858Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6538327Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6539802Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6541578Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6543096Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6544712Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6652003Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:22.6653287Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6654526Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6656336Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6657792Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6659226Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6660724Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6662250Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6663746Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6665265Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6666758Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:22.6667930Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6669047Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6670344Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6671655Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6672970Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6674283Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6675652Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6677043Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6678420Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6679747Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6681051Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6682373Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6683710Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6685385Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6686780Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6688131Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6689502Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6691039Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6692423Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6693847Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6695168Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6696494Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6697837Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6699153Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6700593Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6701894Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6703263Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6704811Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6706198Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6707576Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6708904Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6710222Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6711546Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6712902Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6714277Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6715619Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6716943Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6718299Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6719659Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6721014Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6722583Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6723883Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6725216Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6726601Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6727960Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6729299Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6730910Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6732296Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6733651Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6735018Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6736386Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6737785Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6739210Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6740614Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6741972Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6743325Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6822375Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6823801Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6825117Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6826431Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6827815Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6829188Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6830639Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6832047Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6833365Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:22.6834512Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6835759Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6837664Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6839195Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6840746Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6842345Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6843952Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6845559Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6847414Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6849237Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6851024Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:22.6852464Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:22.6853797Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:22.6855192Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:22.6856622Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:22.6858135Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:22.6859755Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:22.6861209Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:22.6862431Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:22.6863639Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:22.6864944Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:22.6866464Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:22.6868110Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:22.6869986Z   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
2025-03-21T20:21:22.6872379Z   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
2025-03-21T20:21:22.6874269Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:22.6876234Z   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
2025-03-21T20:21:22.6878826Z   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
2025-03-21T20:21:22.6881219Z   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
2025-03-21T20:21:22.6883659Z   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
2025-03-21T20:21:22.6885993Z   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
2025-03-21T20:21:22.6888420Z   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
2025-03-21T20:21:22.6890831Z   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
2025-03-21T20:21:22.6893063Z   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
2025-03-21T20:21:22.6895265Z   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
2025-03-21T20:21:22.6897622Z   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
2025-03-21T20:21:22.6900005Z   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
2025-03-21T20:21:22.6902289Z   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
2025-03-21T20:21:22.6904710Z   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
2025-03-21T20:21:22.6906927Z   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
2025-03-21T20:21:22.6909124Z   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
2025-03-21T20:21:22.6911416Z   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
2025-03-21T20:21:22.6913699Z   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
2025-03-21T20:21:22.6916005Z   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
2025-03-21T20:21:22.6918337Z   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
2025-03-21T20:21:22.6999978Z   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
2025-03-21T20:21:22.7002704Z   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
2025-03-21T20:21:22.7005204Z   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
2025-03-21T20:21:22.7007513Z   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
2025-03-21T20:21:22.7009818Z   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
2025-03-21T20:21:22.7012397Z   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
2025-03-21T20:21:22.7014700Z   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
2025-03-21T20:21:22.7016948Z   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
2025-03-21T20:21:22.7019195Z   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
2025-03-21T20:21:22.7021431Z   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
2025-03-21T20:21:22.7023741Z   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
2025-03-21T20:21:22.7026140Z   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
2025-03-21T20:21:22.7028451Z   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
2025-03-21T20:21:22.7030726Z   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
2025-03-21T20:21:22.7032982Z   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
2025-03-21T20:21:22.7034748Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:22.7036567Z   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
2025-03-21T20:21:22.7038425Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:21:22.7040314Z   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
2025-03-21T20:21:22.7041932Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7043005Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7044523Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7045867Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7047237Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7048568Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7049889Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7051388Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7052802Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7054359Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7055745Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7057033Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7058392Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7059763Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7061088Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7062424Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7063774Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7065072Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:22.7066174Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:22.7067344Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:22.7068754Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:22.7070175Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:22.7071565Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:22.7072733Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:22.7073893Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:22.7075259Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:22.7076675Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:22.7077913Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:22.7079234Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:22.7080833Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:22.7082589Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:22.7084169Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:22.7085422Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7086711Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7088301Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7089865Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7091636Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7093241Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7094856Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7163028Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7165285Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:22.7166614Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:22.7167892Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:22.7169207Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:22.7170759Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:22.7172564Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:22.7174027Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:22.7175473Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:22.7177297Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:22.7179134Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:22.7180578Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:22.7181936Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:22.7183349Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:22.7184901Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:22.7186436Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:22.7188319Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:22.7190185Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:22.7192071Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:22.7193979Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:22.7195607Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:22.7197370Z   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
2025-03-21T20:21:22.7199767Z   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
2025-03-21T20:21:22.7201971Z   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
2025-03-21T20:21:22.7203708Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:22.7205633Z   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
2025-03-21T20:21:22.7207820Z   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
2025-03-21T20:21:22.7210004Z   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
2025-03-21T20:21:22.7212251Z   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
2025-03-21T20:21:22.7214007Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:22.7215797Z   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
2025-03-21T20:21:22.7218031Z   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
2025-03-21T20:21:22.7220271Z   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
2025-03-21T20:21:22.7222507Z   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
2025-03-21T20:21:22.7224258Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:22.7225943Z   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
2025-03-21T20:21:22.7228025Z   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
2025-03-21T20:21:22.7229718Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:22.7231648Z   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
2025-03-21T20:21:22.7233786Z   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
2025-03-21T20:21:22.7235549Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:22.7237306Z   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
2025-03-21T20:21:22.7239515Z   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
2025-03-21T20:21:22.7241881Z   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
2025-03-21T20:21:22.7244067Z   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
2025-03-21T20:21:22.7246257Z   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
2025-03-21T20:21:22.7248434Z   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
2025-03-21T20:21:22.7250707Z   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
2025-03-21T20:21:22.7252429Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:22.7254055Z   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
2025-03-21T20:21:22.7256145Z   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
2025-03-21T20:21:22.7258264Z   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
2025-03-21T20:21:22.7260379Z   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
2025-03-21T20:21:22.7327254Z   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
2025-03-21T20:21:22.7329468Z   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
2025-03-21T20:21:22.7331617Z   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
2025-03-21T20:21:22.7333661Z   copying backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:22.7335688Z   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
2025-03-21T20:21:22.7337671Z   copying backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:22.7340086Z   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
2025-03-21T20:21:22.7342184Z   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
2025-03-21T20:21:22.7344267Z   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
2025-03-21T20:21:22.7346315Z   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
2025-03-21T20:21:22.7348345Z   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
2025-03-21T20:21:22.7350201Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:22.7351911Z   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
2025-03-21T20:21:22.7354059Z   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
2025-03-21T20:21:22.7355709Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7357143Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7358837Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7360474Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7362157Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7363959Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7365617Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7367269Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7368905Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7370620Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7372255Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:22.7373568Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:22.7374759Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:22.7376347Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:22.7377731Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:22.7379152Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:22.7380638Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:22.7382364Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:22.7383987Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:22.7385227Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7386405Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7387875Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7389567Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7391096Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7392583Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7394112Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7395754Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7397386Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7398899Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7400403Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7401987Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7403548Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7405332Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7406869Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7408404Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7409949Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7411524Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7413050Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7414629Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7416264Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7417839Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7419618Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7421158Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7504656Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7506544Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7508106Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7509613Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7511373Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:22.7512575Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7513781Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7515253Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7516724Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7518241Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7519778Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7521222Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7522691Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7524164Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7525671Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7527132Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7528561Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7530012Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7531722Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7533186Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7534629Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7536127Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7537662Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7539428Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7540890Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7542485Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7543931Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7545390Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7546857Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7548315Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7549931Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7551425Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7552879Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7554352Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7555874Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7557372Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7558870Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7560334Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7561845Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7563363Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7564817Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7566251Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7567694Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7569175Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7570785Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7572426Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7573869Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7575311Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7576771Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7578453Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7579899Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7581333Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7582751Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7584168Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7585587Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7587010Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7588549Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7590003Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7591468Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7592929Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7594380Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7595849Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7597347Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7698300Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7699889Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7701401Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7702879Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7704464Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7705971Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7707525Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7709040Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7710615Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7712124Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7713606Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7715059Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7716893Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7718380Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7719811Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7721242Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7722721Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7724231Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7726033Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7727680Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7729223Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7730828Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7732325Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:22.7733533Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:22.7734742Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:22.7735975Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:22.7737269Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:22.7738841Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:22.7740381Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:22.7741614Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:22.7742890Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:22.7744487Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:22.7746078Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:22.7747592Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:22.7748884Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:22.7750215Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:22.7751893Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:22.7753237Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:22.7754405Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:22.7756050Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:22.7757463Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:22.7758623Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:22.7759819Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:22.7761215Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:22.7762469Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:22.7764054Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:22.7765679Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:22.7767082Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:22.7768847Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:22.7770551Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:22.7771782Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7772916Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7774342Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7775869Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7777372Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7778871Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7780412Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7781929Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7783443Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:22.7784694Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:22.7786015Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:22.7787318Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:22.7788571Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:22.7789812Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:22.7791009Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:22.7922242Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:22.7924111Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:22.7925813Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:22.7927589Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:22.7928908Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:22.7930072Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:22.7931573Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:22.7933302Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:22.7934591Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:22.7935840Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:22.7937422Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:22.7939138Z   copying backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:22.7940558Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:22.7941943Z   copying backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:22.7943671Z   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
2025-03-21T20:21:22.7945428Z   copying backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:22.7947212Z   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
2025-03-21T20:21:22.7948995Z   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
2025-03-21T20:21:22.7950723Z   copying backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:22.7952099Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:22.7953463Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:22.7954926Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:22.7956704Z   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
2025-03-21T20:21:22.7958909Z   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
2025-03-21T20:21:22.7961084Z   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
2025-03-21T20:21:22.7963251Z   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
2025-03-21T20:21:22.7965553Z   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
2025-03-21T20:21:22.7967621Z   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
2025-03-21T20:21:22.7969758Z   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
2025-03-21T20:21:22.7971692Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:22.7973731Z   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
2025-03-21T20:21:22.7975718Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:22.7977909Z   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
2025-03-21T20:21:22.7979785Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7980957Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7982490Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7984127Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7985653Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7987134Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7988694Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7990259Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7991769Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7993332Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7994900Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7996410Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7997926Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.7999415Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:22.8000628Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8001853Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8003505Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8005198Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8006636Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8008084Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8009592Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8011172Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8012618Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8014339Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8015839Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8017306Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8102144Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8103945Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8105622Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8107337Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8108801Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8110306Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8111825Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8113339Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8114837Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8116428Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8118022Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8119535Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8121108Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8122624Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8124116Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8125634Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8127556Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8129045Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8130619Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8132138Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8133638Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8135093Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8136773Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8138269Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8139760Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8141256Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8142755Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8144248Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8145753Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8147281Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8148843Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8150507Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8152073Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8153528Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8155021Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:22.8156621Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:22.8157887Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:22.8159462Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:22.8160774Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:22.8162080Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:22.8163715Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:22.8165074Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:22.8166710Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:22.8168483Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:22.8169829Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:22.8171115Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:22.8172620Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:22.8173891Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:22.8175281Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:22.8176769Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:22.8177939Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:22.8179325Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:22.8180700Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:22.8182123Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:22.8183413Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8184785Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8186484Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8188263Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8190044Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8191818Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8193604Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:22.8195024Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:22.8196452Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:22.8282479Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:22.8283895Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8285166Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8286674Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8288205Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8290174Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8291963Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8293558Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8295151Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8296718Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8298273Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8300034Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8301630Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8303232Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8304918Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:22.8306132Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8307355Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8308786Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8310282Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8311809Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8313293Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8314726Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8316173Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8317702Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8319254Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8320738Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8322218Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8323671Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8325109Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8326559Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8328051Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8329827Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8331426Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8332921Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8334383Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8335850Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8337337Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8339031Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8340589Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8342090Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8343584Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8345085Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8346579Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8348051Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8349525Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8351077Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8352615Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8354072Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8380306Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8382026Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8383606Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8385123Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8386593Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8388058Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8389599Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8391160Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:22.8392380Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8394020Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8395717Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8397458Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8399201Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8400874Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8471694Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8473891Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:22.8475289Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:22.8476706Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:22.8478470Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:22.8480233Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:22.8481667Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:22.8483171Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:22.8484998Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:22.8486385Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:22.8487619Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:22.8489111Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:22.8490417Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:22.8492014Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:22.8493417Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:22.8494811Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:22.8496215Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:22.8497653Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:22.8499117Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:22.8500645Z   copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:22.8502529Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:22.8504369Z   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
2025-03-21T20:21:22.8506322Z   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
2025-03-21T20:21:22.8508246Z   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
2025-03-21T20:21:22.8509836Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:21:22.8511448Z   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
2025-03-21T20:21:22.8513253Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:22.8514882Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:22.8516908Z   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
2025-03-21T20:21:22.8519043Z   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
2025-03-21T20:21:22.8521158Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:22.8522755Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:22.8524427Z   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
2025-03-21T20:21:22.8526537Z   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
2025-03-21T20:21:22.8528646Z   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
2025-03-21T20:21:22.8530921Z   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
2025-03-21T20:21:22.8533119Z   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
2025-03-21T20:21:22.8535301Z   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
2025-03-21T20:21:22.8537405Z   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
2025-03-21T20:21:22.8539509Z   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
2025-03-21T20:21:22.8541648Z   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
2025-03-21T20:21:22.8543738Z   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
2025-03-21T20:21:22.8546073Z   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
2025-03-21T20:21:22.8548180Z   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
2025-03-21T20:21:22.8550339Z   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
2025-03-21T20:21:22.8552543Z   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
2025-03-21T20:21:22.8554749Z   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
2025-03-21T20:21:22.8556962Z   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
2025-03-21T20:21:22.8559049Z   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
2025-03-21T20:21:22.8561093Z   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
2025-03-21T20:21:22.8563148Z   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
2025-03-21T20:21:22.8565234Z   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
2025-03-21T20:21:22.8567420Z   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
2025-03-21T20:21:22.9028628Z   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
2025-03-21T20:21:22.9030850Z   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
2025-03-21T20:21:22.9032828Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:22.9034798Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:22.9036813Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:22.9038717Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:22.9040288Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
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2025-03-21T20:21:22.9044107Z   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
2025-03-21T20:21:22.9046266Z   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
2025-03-21T20:21:22.9048355Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
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2025-03-21T20:21:22.9051509Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen
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2025-03-21T20:21:22.9053233Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9054181Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9055305Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9056662Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9057810Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9059017Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9060227Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9061348Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:22.9062342Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:22.9063458Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:22.9064793Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:22.9066178Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:22.9067628Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:22.9068859Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9070097Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9071651Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9073171Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9074815Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9076278Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:22.9077507Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9078709Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9080175Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9081707Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9083190Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9084843Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:22.9086022Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:22.9087020Z   copying examples/models/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:22.9088207Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:22.9089419Z   copying examples/models/model_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:22.9090749Z   copying examples/models/model_factory.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:22.9091871Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:22.9093191Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:22.9094632Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:22.9095788Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:22.9096870Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
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2025-03-21T20:21:22.9099262Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:22.9100531Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:22.9102016Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:22.9103276Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:22.9104746Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:22.9106232Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:22.9107471Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:22.9108697Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:22.9110157Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:22.9111368Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:22.9112608Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:22.9114068Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:22.9115245Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9116344Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9117668Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9119018Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9120373Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9213647Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9215117Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9216516Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9217972Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9218573Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9219227Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9220151Z   copying examples/models/llama/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9220784Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9221348Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9221920Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9222562Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:22.9223012Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:22.9223699Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:22.9224079Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:22.9224678Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:22.9225298Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:22.9225904Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:22.9226477Z   copying examples/models/llava/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:22.9226858Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:22.9227412Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:22.9227974Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:22.9228397Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:22.9229049Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:22.9229699Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:22.9230114Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:22.9230781Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:22.9231438Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:22.9231866Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:22.9232877Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:22.9233548Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:22.9233987Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:22.9234719Z   copying examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:22.9235137Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9235770Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9236398Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9237205Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9237864Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9238533Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:22.9238953Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:22.9239576Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:22.9240273Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:22.9240665Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:22.9241269Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:22.9241918Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:22.9242309Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:22.9242893Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:22.9243512Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:22.9243883Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:22.9244433Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:22.9245041Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:22.9245479Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:22.9246179Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:22.9246873Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:22.9247288Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:22.9247898Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:22.9248517Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:22.9249056Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:22.9249707Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:22.9250348Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:22.9251025Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:22.9252036Z   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
2025-03-21T20:21:22.9253002Z   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
2025-03-21T20:21:22.9254143Z   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
2025-03-21T20:21:22.9255166Z   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
2025-03-21T20:21:22.9256074Z   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
2025-03-21T20:21:22.9257061Z   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
2025-03-21T20:21:22.9257502Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:22.9368855Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:22.9369708Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:22.9370183Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:22.9371055Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:22.9371856Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:22.9372656Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:22.9373470Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:22.9373911Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:22.9374581Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:22.9375295Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:22.9375966Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:22.9376487Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9377354Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9378292Z   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
2025-03-21T20:21:22.9379553Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9380471Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9381333Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9382264Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9383169Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9384246Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9385204Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9386073Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9386932Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9387784Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9388692Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9389630Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9390591Z   copying examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9391595Z   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
2025-03-21T20:21:22.9392496Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:22.9392910Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:22.9393743Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:22.9394451Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:22.9395194Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:22.9395637Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:22.9396375Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:22.9396901Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:22.9397852Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:22.9398773Z   copying examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:22.9399602Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:22.9400498Z   copying examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:22.9400980Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:22.9401757Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:22.9402699Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:22.9403536Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:22.9404469Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:22.9405001Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:21:22.9405851Z   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
2025-03-21T20:21:22.9406389Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:22.9407281Z   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
2025-03-21T20:21:22.9408149Z   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
2025-03-21T20:21:22.9408707Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:22.9409607Z   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
2025-03-21T20:21:22.9410662Z   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
2025-03-21T20:21:22.9411243Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:22.9412204Z   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
2025-03-21T20:21:22.9602526Z   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
2025-03-21T20:21:22.9603032Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:22.9603721Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:22.9604567Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:22.9604988Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:22.9606117Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:22.9606415Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9606783Z   copying exir/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9607165Z   copying exir/_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9607536Z   copying exir/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9607930Z   copying exir/control_flow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9608308Z   copying exir/delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9608725Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9609124Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9609713Z   copying exir/error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:22.9610591Z   copying exir/graph_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9611055Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9611428Z   copying exir/memory.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9611859Z   copying exir/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9612245Z   copying exir/pass_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:22.9613204Z   copying exir/print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9613616Z   copying exir/scalar_type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:22.9614361Z   copying exir/sym_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9614725Z   copying exir/tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9615085Z   copying exir/tracer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:22.9615815Z   copying exir/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9616180Z   copying exir/wrap.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:22.9616526Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:22.9617032Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:21:22.9619084Z   copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:21:22.9620092Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:22.9620801Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:22.9621294Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:22.9621630Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9622116Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9622636Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9623168Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9623690Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9624197Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9624802Z   copying exir/backend/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:22.9625159Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:22.9625612Z   copying exir/capture/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:22.9626087Z   copying exir/capture/_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:22.9626541Z   copying exir/capture/_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:22.9627000Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:22.9627336Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:22.9627798Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:22.9628264Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:22.9628580Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:22.9628999Z   copying exir/emit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:22.9629449Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:22.9629880Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:22.9630214Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:22.9630711Z   copying exir/operator/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:22.9631184Z   copying exir/operator/manip.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:22.9631638Z   copying exir/operator/util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:22.9631985Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9632428Z   copying exir/passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9633044Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9633550Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9634080Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9634654Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9635198Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9635745Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9636506Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9637067Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9637574Z   copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9638186Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9638727Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9639261Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9639829Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9640542Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9641051Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9641613Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9642122Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9844187Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9845640Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9847001Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9848542Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9849904Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9851401Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9852847Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9854136Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9855426Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9856696Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9857894Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9859056Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9860220Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9861429Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:22.9862457Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:22.9863392Z   copying exir/program/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:22.9864493Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:22.9865596Z   copying exir/program/_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:22.9867004Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9867893Z   copying exir/serde/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9868970Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9870047Z   copying exir/serde/schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9871105Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9872178Z   copying exir/serde/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9873211Z   copying exir/serde/union.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9874226Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:22.9875350Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9876291Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9877703Z   copying exir/tests/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9878893Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9880136Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9881278Z   copying exir/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9882541Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9883744Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9884994Z   copying exir/tests/test_common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9886188Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9887393Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9888777Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9890005Z   copying exir/tests/test_error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9891195Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9892508Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9894234Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9896040Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9897454Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9898838Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9900121Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9901345Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9902556Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9904056Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9905820Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9907184Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9908526Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9909880Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9911162Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9912269Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9913335Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9914529Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9915937Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9917181Z   copying exir/tests/transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:22.9918173Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:22.9919340Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:22.9920597Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:22.9921845Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:22.9923107Z   copying exir/verification/verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:22.9924241Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9925490Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9926996Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9928463Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9929946Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9931532Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:22.9932798Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:22.9934332Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:22.9936302Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:22.9938222Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:22.9940155Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:22.9941643Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0068913Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0070512Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0072453Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0073858Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0075219Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0076540Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0077937Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0079316Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0080854Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0082244Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0083600Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0084955Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0086330Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0087726Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0089125Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0090662Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0091979Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0093229Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:23.0094321Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:23.0095570Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:23.0097095Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:23.0098352Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:23.0099745Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:23.0101494Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:23.0103105Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:23.0104471Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:23.0105568Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:23.0106636Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:23.0107669Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:23.0108992Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:23.0110135Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:23.0111317Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:23.0112587Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:23.0113817Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:23.0114926Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:23.0116229Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:23.0117353Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:23.0118726Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:23.0120171Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:23.0121585Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:23.0122716Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:23.0123794Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:23.0125110Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:23.0126270Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:23.0127408Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:23.0128750Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:23.0129883Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:23.0131177Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:23.0132620Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:23.0133837Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:23.0135058Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:23.0136205Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:23.0137211Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:23.0138230Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:23.0139330Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:23.0140426Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:23.0141467Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:23.0142743Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:23.0144104Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:23.0145215Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:23.0146580Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:23.0147747Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:23.0148885Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:23.0150012Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:23.0151108Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:23.0152382Z   copying extension/export_util/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:23.0153472Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:23.0154561Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:23.0155777Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:23.0156906Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:23.0158189Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:23.0159452Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:23.0160528Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:23.0306027Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:23.0307372Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:23.0308474Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:23.0309502Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:23.0310562Z   copying extension/training/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:23.0311692Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:23.0312978Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:23.0314582Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:23.0316218Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:23.0317520Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:23.0318780Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:23.0320046Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:23.0321377Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:23.0322674Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0323833Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0325222Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0326677Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0328585Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0330094Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0331778Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0333344Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0334847Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:23.0336032Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0337333Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0338627Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0339949Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0341329Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0342702Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0344083Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:23.0345235Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:23.0346347Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:23.0347706Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:23.0349107Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:23.0350439Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:23.0351557Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:23.0352695Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:23.0354077Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:23.0355506Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:23.0356885Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:23.0358035Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:23.0359207Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:23.0360442Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:23.0361911Z   copying extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:23.0363484Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:23.0365376Z   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
2025-03-21T20:21:23.0367454Z   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
2025-03-21T20:21:23.0368955Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:23.0370157Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:23.0371750Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:23.0373281Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:23.0375000Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:23.0376334Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:23.0377627Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:23.0379015Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:23.0380554Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:23.0382465Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:23.0384397Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:23.0386322Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:23.0387983Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:23.0389800Z   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
2025-03-21T20:21:23.0392073Z   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
2025-03-21T20:21:23.0393781Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:23.0395249Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:23.0396637Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:23.0397861Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:23.0399406Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:23.0516873Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:23.0518211Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:23.0519325Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:23.0520889Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:23.0522232Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:23.0523578Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:23.0524950Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:23.0526587Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:23.0527938Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:23.0529396Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:23.0531338Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:23.0532756Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:23.0534021Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:23.0535143Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:23.0536207Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:23.0537409Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:23.0538918Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:23.0540109Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:23.0540980Z   copying devtools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:23.0541925Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:23.0543042Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:23.0544413Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:23.0545608Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:23.0546781Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:23.0548135Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:23.0549519Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:23.0550708Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:23.0551884Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:23.0553229Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:23.0554331Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:23.0555412Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:23.0556676Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:23.0557751Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:23.0559057Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:23.0560291Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:23.0561423Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:23.0562500Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:23.0563813Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:23.0565180Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:23.0566528Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:23.0567713Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:23.0569173Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:23.0570905Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:23.0572247Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:23.0573425Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:23.0574910Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:23.0576491Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:23.0577821Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:23.0579192Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:23.0580575Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:23.0581918Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:23.0583590Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:23.0585076Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:23.0586437Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:23.0587832Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:23.0589185Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:23.0590821Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:23.0592414Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:23.0593732Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:23.0595076Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:23.0596437Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:23.0598180Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:23.0599648Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:23.0601205Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:23.0602606Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:23.0604018Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:23.0605229Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:23.0606444Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:23.0607908Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:23.0609216Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:23.0610830Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:23.0612383Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:24.0814370Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:24.0815840Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:24.0817220Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:24.0818760Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.0820410Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.0822104Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:24.0823714Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:24.0825299Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:24.0826861Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:24.0828435Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:24.0830064Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:24.0831860Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:24.0833181Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:24.0834028Z   copying runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:24.0835029Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:24.0836030Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:24.0837411Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:24.0838346Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:24.0839376Z   copying util/collect_env.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:24.0840333Z   copying util/python_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:24.0841060Z   running egg_info
2025-03-21T20:21:24.0841438Z   creating executorch.egg-info
2025-03-21T20:21:24.0841893Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:21:24.0842537Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:21:24.0843298Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:21:24.0844204Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:21:24.0844979Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:21:24.0845935Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:24.0846623Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:24.0847174Z   adding license file 'LICENSE'
2025-03-21T20:21:24.0847678Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:24.0848769Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:21:24.0850354Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:24.0852137Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:24.0853805Z   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
2025-03-21T20:21:24.0855508Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:24.0856910Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:24.0858334Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:24.0859896Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:24.0861218Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:24.0862384Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:24.0863850Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:24.0865210Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0866745Z   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
2025-03-21T20:21:24.0868697Z   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
2025-03-21T20:21:24.0870655Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0872517Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0874343Z   copying backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0876424Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0878276Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0880256Z   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
2025-03-21T20:21:24.0882267Z   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
2025-03-21T20:21:24.0884158Z   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
2025-03-21T20:21:24.0886156Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0887987Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0889794Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0891711Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0893632Z   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
2025-03-21T20:21:24.0895619Z   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
2025-03-21T20:21:24.0897709Z   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
2025-03-21T20:21:24.0899721Z   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
2025-03-21T20:21:24.0901635Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0903513Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0905819Z   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
2025-03-21T20:21:24.0907926Z   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
2025-03-21T20:21:24.0909831Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0969460Z   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
2025-03-21T20:21:24.0971607Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0984295Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0986629Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0988468Z   copying backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0990393Z   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
2025-03-21T20:21:24.0992270Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.0994302Z   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
2025-03-21T20:21:24.0996578Z   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
2025-03-21T20:21:24.0998813Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1000859Z   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
2025-03-21T20:21:24.1002885Z   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
2025-03-21T20:21:24.1005208Z   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
2025-03-21T20:21:24.1007082Z   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
2025-03-21T20:21:24.1009073Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1011118Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1013405Z   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
2025-03-21T20:21:24.1015378Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1017469Z   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
2025-03-21T20:21:24.1019298Z   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
2025-03-21T20:21:24.1021490Z   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
2025-03-21T20:21:24.1023591Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1025625Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1027687Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1029789Z   copying backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1032272Z   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
2025-03-21T20:21:24.1034559Z   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
2025-03-21T20:21:24.1036486Z   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
2025-03-21T20:21:24.1038481Z   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
2025-03-21T20:21:24.1040492Z   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
2025-03-21T20:21:24.1042641Z   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
2025-03-21T20:21:24.1044688Z   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
2025-03-21T20:21:24.1046823Z   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
2025-03-21T20:21:24.1049056Z   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
2025-03-21T20:21:24.1051335Z   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
2025-03-21T20:21:24.1053597Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1055602Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1057608Z   copying backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1059751Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.1061438Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:24.1062708Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:24.1064332Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1065864Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1067687Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1069513Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1071267Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1073108Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1075011Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:24.1077147Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:24.1079058Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:24.1080830Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:24.1082725Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:24.1084405Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:24.1119357Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:24.1121606Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:24.1123678Z   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
2025-03-21T20:21:24.1125807Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:24.1127423Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1145589Z   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
2025-03-21T20:21:24.1147666Z   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
2025-03-21T20:21:24.1149669Z   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
2025-03-21T20:21:24.1151712Z   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
2025-03-21T20:21:24.1153792Z   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
2025-03-21T20:21:24.1155845Z   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
2025-03-21T20:21:24.1157827Z   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
2025-03-21T20:21:24.1159816Z   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
2025-03-21T20:21:24.1161805Z   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
2025-03-21T20:21:24.1163800Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1165777Z   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
2025-03-21T20:21:24.1167854Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1170245Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1172252Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1174156Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1176071Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1178006Z   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
2025-03-21T20:21:24.1180212Z   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
2025-03-21T20:21:24.1182255Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1184218Z   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
2025-03-21T20:21:24.1186180Z   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
2025-03-21T20:21:24.1188173Z   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
2025-03-21T20:21:24.1190202Z   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
2025-03-21T20:21:24.1192216Z   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
2025-03-21T20:21:24.1194171Z   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
2025-03-21T20:21:24.1196089Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1198051Z   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
2025-03-21T20:21:24.1200067Z   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
2025-03-21T20:21:24.1202058Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1204236Z   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
2025-03-21T20:21:24.1206226Z   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
2025-03-21T20:21:24.1208150Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1210113Z   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
2025-03-21T20:21:24.1212462Z   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
2025-03-21T20:21:24.1214512Z   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
2025-03-21T20:21:24.1216542Z   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
2025-03-21T20:21:24.1218521Z   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
2025-03-21T20:21:24.1220527Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1222750Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1224826Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1226841Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1228721Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1230601Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1232526Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1266874Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1268888Z   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
2025-03-21T20:21:24.1270910Z   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
2025-03-21T20:21:24.1272983Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1275063Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1277105Z   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
2025-03-21T20:21:24.1279189Z   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
2025-03-21T20:21:24.1281267Z   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
2025-03-21T20:21:24.1283354Z   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
2025-03-21T20:21:24.1285720Z   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
2025-03-21T20:21:24.1287804Z   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
2025-03-21T20:21:24.1289886Z   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
2025-03-21T20:21:24.1292084Z   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
2025-03-21T20:21:24.1294189Z   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
2025-03-21T20:21:24.1296430Z   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
2025-03-21T20:21:24.1298555Z   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
2025-03-21T20:21:24.1300676Z   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
2025-03-21T20:21:24.1302774Z   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
2025-03-21T20:21:24.1304929Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1306910Z   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
2025-03-21T20:21:24.1308981Z   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
2025-03-21T20:21:24.1311034Z   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
2025-03-21T20:21:24.1313096Z   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
2025-03-21T20:21:24.1315081Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1316986Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1318914Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1320868Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1322977Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1324883Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1326738Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:24.1329066Z   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
2025-03-21T20:21:24.1331261Z   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
2025-03-21T20:21:24.1333362Z   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
2025-03-21T20:21:24.1335530Z   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
2025-03-21T20:21:24.1337716Z   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
2025-03-21T20:21:24.1340120Z   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
2025-03-21T20:21:24.1342232Z   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
2025-03-21T20:21:24.1344321Z   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
2025-03-21T20:21:24.1346436Z   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
2025-03-21T20:21:24.1348523Z   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
2025-03-21T20:21:24.1350571Z   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
2025-03-21T20:21:24.1352680Z   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
2025-03-21T20:21:24.1354832Z   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
2025-03-21T20:21:24.1357037Z   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
2025-03-21T20:21:24.1359240Z   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
2025-03-21T20:21:24.1361329Z   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
2025-03-21T20:21:24.1363376Z   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
2025-03-21T20:21:24.2287760Z   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
2025-03-21T20:21:24.2289929Z   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
2025-03-21T20:21:24.2292390Z   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
2025-03-21T20:21:24.2294977Z   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
2025-03-21T20:21:24.2297182Z   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
2025-03-21T20:21:24.2299290Z   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
2025-03-21T20:21:24.2301349Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:24.2303432Z   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
2025-03-21T20:21:24.2306000Z   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
2025-03-21T20:21:24.2308165Z   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
2025-03-21T20:21:24.2310207Z   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
2025-03-21T20:21:24.2312166Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:24.2313748Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:24.2315289Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:24.2316841Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:24.2318074Z   copying exir/delegate.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:24.2319155Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:24.2320456Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:24.2321955Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:24.2323578Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:24.2325210Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:24.2326663Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:24.2328101Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:24.2329266Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:24.2330114Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:24.2331164Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:24.2332324Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:24.2333883Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:24.2335370Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.2337044Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.2338718Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.2340392Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.2341637Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:24.2342748Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:24.2344108Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:24.2345207Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:24.2346636Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:24.2348364Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:24.2349593Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake
2025-03-21T20:21:24.2350823Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:21:24.2352158Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2353340Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2354675Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2356002Z   copying runtime/core/defines.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2357298Z   copying runtime/core/error.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2358587Z   copying runtime/core/evalue.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2359914Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2361320Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2362808Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2364283Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2365744Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2367208Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2368599Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2369937Z   copying runtime/core/result.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2371329Z   copying runtime/core/span.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2372800Z   copying runtime/core/tag.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2374126Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2375559Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:24.2376881Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:24.2378259Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:24.2379716Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:24.2381501Z   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
2025-03-21T20:21:24.2432320Z   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
2025-03-21T20:21:24.2433979Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:24.2435480Z   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
2025-03-21T20:21:24.2437251Z   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
2025-03-21T20:21:24.2439066Z   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
2025-03-21T20:21:24.2440961Z   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
2025-03-21T20:21:24.2442746Z   copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:24.2444221Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2445676Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2447387Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2449113Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2451218Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2452916Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2454576Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2456253Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2457960Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2459656Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2461802Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2463536Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2465232Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2466934Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2468683Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:24.2470292Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:24.2472273Z   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
2025-03-21T20:21:24.2474373Z   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
2025-03-21T20:21:24.2476112Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:24.2477885Z   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
2025-03-21T20:21:24.2479960Z   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
2025-03-21T20:21:24.2482039Z   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
2025-03-21T20:21:24.2484058Z   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
2025-03-21T20:21:24.2486058Z   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
2025-03-21T20:21:24.2488136Z   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
2025-03-21T20:21:24.2490226Z   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
2025-03-21T20:21:24.2492428Z   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
2025-03-21T20:21:24.2494521Z   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
2025-03-21T20:21:24.2496059Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.2497325Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.2498841Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.2500368Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.2502078Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.2503431Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:24.2504920Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:24.2506224Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2507477Z   copying runtime/platform/abort.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2508884Z   copying runtime/platform/assert.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2510287Z   copying runtime/platform/clock.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2511956Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2513450Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2514859Z   copying runtime/platform/log.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2516267Z   copying runtime/platform/platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2517715Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
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2025-03-21T20:21:24.2520574Z   copying runtime/platform/system.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2521995Z   copying runtime/platform/types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.2523282Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:24.2524674Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:24.2526065Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:24.3126135Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:24.3127946Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:24.3129592Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:24.3131000Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.3132263Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.3133742Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.3135221Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.3136699Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.3138023Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:24.3139801Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:24.3141402Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:24.3143028Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:24.3144072Z   running build_ext
2025-03-21T20:21:24.3144696Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:24.3145714Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:24.3146980Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:21:24.3149100Z   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
2025-03-21T20:21:24.3151597Z   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
2025-03-21T20:21:24.3154219Z   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
2025-03-21T20:21:24.3156644Z   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
2025-03-21T20:21:24.3158074Z   installing to pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:24.3158561Z   running install
2025-03-21T20:21:24.3158912Z   running install_lib
2025-03-21T20:21:24.3159325Z   creating pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:24.3159889Z   creating pip-out/bdist.linux-aarch64/wheel/executorch
2025-03-21T20:21:24.3160553Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends
2025-03-21T20:21:24.3161291Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm
2025-03-21T20:21:24.3162534Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3164234Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3165954Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3167761Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3169562Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3171423Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3173160Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3174918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3176691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3178789Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3180553Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:24.3181830Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/_passes
2025-03-21T20:21:24.3183219Z   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
2025-03-21T20:21:24.3185265Z   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
2025-03-21T20:21:24.3187413Z   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
2025-03-21T20:21:24.3189540Z   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
2025-03-21T20:21:24.3191493Z   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
2025-03-21T20:21:24.3193426Z   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
2025-03-21T20:21:24.3195399Z   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
2025-03-21T20:21:24.3197469Z   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
2025-03-21T20:21:24.3199592Z   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
2025-03-21T20:21:24.3201677Z   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
2025-03-21T20:21:24.3203710Z   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
2025-03-21T20:21:24.3205915Z   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
2025-03-21T20:21:24.3207938Z   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
2025-03-21T20:21:24.3209945Z   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
2025-03-21T20:21:24.3212079Z   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
2025-03-21T20:21:24.3214098Z   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
2025-03-21T20:21:24.3216125Z   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
2025-03-21T20:21:24.3218165Z   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
2025-03-21T20:21:24.3220490Z   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
2025-03-21T20:21:24.3223524Z   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
2025-03-21T20:21:24.3225537Z   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
2025-03-21T20:21:24.3227626Z   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
2025-03-21T20:21:24.3229693Z   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
2025-03-21T20:21:24.3231987Z   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
2025-03-21T20:21:24.3234140Z   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
2025-03-21T20:21:24.3236155Z   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
2025-03-21T20:21:24.3238227Z   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
2025-03-21T20:21:24.3240295Z   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
2025-03-21T20:21:24.3242283Z   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
2025-03-21T20:21:24.3244309Z   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
2025-03-21T20:21:24.3246349Z   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
2025-03-21T20:21:24.3248384Z   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
2025-03-21T20:21:24.3250379Z   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
2025-03-21T20:21:24.3252428Z   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
2025-03-21T20:21:24.3254433Z   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
2025-03-21T20:21:24.3256471Z   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
2025-03-21T20:21:24.3258527Z   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
2025-03-21T20:21:24.3260674Z   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
2025-03-21T20:21:24.3262419Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operator_support
2025-03-21T20:21:24.3263961Z   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
2025-03-21T20:21:24.3266153Z   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
2025-03-21T20:21:24.3268401Z   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
2025-03-21T20:21:24.3270619Z   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
2025-03-21T20:21:24.3272955Z   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
2025-03-21T20:21:24.3275217Z   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
2025-03-21T20:21:24.3277465Z   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
2025-03-21T20:21:24.3279675Z   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
2025-03-21T20:21:24.3281936Z   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
2025-03-21T20:21:24.3283532Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operators
2025-03-21T20:21:24.3284939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:24.3286910Z   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
2025-03-21T20:21:24.3288873Z   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
2025-03-21T20:21:24.3290879Z   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
2025-03-21T20:21:24.3292827Z   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
2025-03-21T20:21:24.3294761Z   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
2025-03-21T20:21:24.3296683Z   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
2025-03-21T20:21:24.3298643Z   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
2025-03-21T20:21:24.3300596Z   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
2025-03-21T20:21:24.3302678Z   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
2025-03-21T20:21:24.3304747Z   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
2025-03-21T20:21:24.3306766Z   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
2025-03-21T20:21:24.3308784Z   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
2025-03-21T20:21:24.3310731Z   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
2025-03-21T20:21:24.3312851Z   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
2025-03-21T20:21:24.3314818Z   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
2025-03-21T20:21:24.3316747Z   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
2025-03-21T20:21:24.3325678Z   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
2025-03-21T20:21:24.3327675Z   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
2025-03-21T20:21:24.3329578Z   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
2025-03-21T20:21:24.3331582Z   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
2025-03-21T20:21:24.3333505Z   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
2025-03-21T20:21:24.3335457Z   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
2025-03-21T20:21:24.3337446Z   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
2025-03-21T20:21:24.3339426Z   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
2025-03-21T20:21:24.3341390Z   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
2025-03-21T20:21:24.3343348Z   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
2025-03-21T20:21:24.3345353Z   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
2025-03-21T20:21:24.3347354Z   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
2025-03-21T20:21:24.3349325Z   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
2025-03-21T20:21:24.3351676Z   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
2025-03-21T20:21:24.3353634Z   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
2025-03-21T20:21:24.3355588Z   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
2025-03-21T20:21:24.3357549Z   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
2025-03-21T20:21:24.3359478Z   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
2025-03-21T20:21:24.3361525Z   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
2025-03-21T20:21:24.3363479Z   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
2025-03-21T20:21:24.3365421Z   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
2025-03-21T20:21:24.3367356Z   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
2025-03-21T20:21:24.3369368Z   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
2025-03-21T20:21:24.3371508Z   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
2025-03-21T20:21:24.3373581Z   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
2025-03-21T20:21:24.3375609Z   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
2025-03-21T20:21:24.3377591Z   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
2025-03-21T20:21:24.3379561Z   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
2025-03-21T20:21:24.3380976Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/quantizer
2025-03-21T20:21:24.3382401Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:24.3384387Z   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
2025-03-21T20:21:24.3386443Z   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
2025-03-21T20:21:24.3388570Z   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
2025-03-21T20:21:24.3390727Z   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
2025-03-21T20:21:24.3392360Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test
2025-03-21T20:21:24.3393677Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:24.3395505Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:24.3397369Z   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
2025-03-21T20:21:24.3399232Z   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
2025-03-21T20:21:24.3400593Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:21:24.3402211Z   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
2025-03-21T20:21:24.3404519Z   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
2025-03-21T20:21:24.3406592Z   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
2025-03-21T20:21:24.3408670Z   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
2025-03-21T20:21:24.3410820Z   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
2025-03-21T20:21:24.3412967Z   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
2025-03-21T20:21:24.3415106Z   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
2025-03-21T20:21:24.3417327Z   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
2025-03-21T20:21:24.3419499Z   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
2025-03-21T20:21:24.3420960Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/models
2025-03-21T20:21:24.3423029Z   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
2025-03-21T20:21:24.3425160Z   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
2025-03-21T20:21:24.3427199Z   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
2025-03-21T20:21:24.3429250Z   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
2025-03-21T20:21:24.3431359Z   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
2025-03-21T20:21:24.3433511Z   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
2025-03-21T20:21:24.3435929Z   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
2025-03-21T20:21:24.3438051Z   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
2025-03-21T20:21:24.3440147Z   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
2025-03-21T20:21:24.3441596Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/ops
2025-03-21T20:21:24.3442997Z   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
2025-03-21T20:21:24.3445096Z   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
2025-03-21T20:21:24.3447043Z   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
2025-03-21T20:21:24.3448973Z   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
2025-03-21T20:21:24.3451001Z   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
2025-03-21T20:21:24.3452985Z   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
2025-03-21T20:21:24.3455015Z   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
2025-03-21T20:21:24.3457015Z   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
2025-03-21T20:21:24.3458976Z   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
2025-03-21T20:21:24.3460909Z   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
2025-03-21T20:21:24.3462851Z   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
2025-03-21T20:21:24.3464821Z   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
2025-03-21T20:21:24.3466842Z   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
2025-03-21T20:21:24.3468862Z   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
2025-03-21T20:21:24.3470843Z   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
2025-03-21T20:21:24.3472847Z   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
2025-03-21T20:21:24.3474907Z   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
2025-03-21T20:21:24.3477067Z   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
2025-03-21T20:21:24.3478994Z   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
2025-03-21T20:21:24.3480919Z   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
2025-03-21T20:21:24.3482867Z   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
2025-03-21T20:21:24.3484841Z   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
2025-03-21T20:21:24.3486946Z   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
2025-03-21T20:21:24.3488884Z   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
2025-03-21T20:21:24.3490872Z   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
2025-03-21T20:21:24.3492848Z   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
2025-03-21T20:21:24.3494874Z   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
2025-03-21T20:21:24.3496891Z   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
2025-03-21T20:21:24.3498891Z   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
2025-03-21T20:21:24.3500848Z   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
2025-03-21T20:21:24.3502776Z   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
2025-03-21T20:21:24.3504884Z   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
2025-03-21T20:21:24.3506857Z   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
2025-03-21T20:21:24.3508859Z   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
2025-03-21T20:21:24.3510817Z   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
2025-03-21T20:21:24.3512760Z   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
2025-03-21T20:21:24.3514737Z   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
2025-03-21T20:21:24.3516728Z   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
2025-03-21T20:21:24.3530768Z   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
2025-03-21T20:21:24.3532778Z   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
2025-03-21T20:21:24.3534704Z   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
2025-03-21T20:21:24.3536657Z   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
2025-03-21T20:21:24.3538945Z   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
2025-03-21T20:21:24.3540973Z   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
2025-03-21T20:21:24.3542928Z   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
2025-03-21T20:21:24.3544901Z   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
2025-03-21T20:21:24.3546859Z   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
2025-03-21T20:21:24.3548826Z   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
2025-03-21T20:21:24.3550810Z   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
2025-03-21T20:21:24.3552795Z   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
2025-03-21T20:21:24.3554794Z   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
2025-03-21T20:21:24.3556840Z   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
2025-03-21T20:21:24.3558841Z   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
2025-03-21T20:21:24.3560827Z   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
2025-03-21T20:21:24.3562803Z   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
2025-03-21T20:21:24.3564780Z   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
2025-03-21T20:21:24.3566739Z   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
2025-03-21T20:21:24.3568662Z   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
2025-03-21T20:21:24.3570898Z   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
2025-03-21T20:21:24.3572862Z   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
2025-03-21T20:21:24.3574835Z   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
2025-03-21T20:21:24.3576898Z   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
2025-03-21T20:21:24.3578913Z   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
2025-03-21T20:21:24.3580963Z   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
2025-03-21T20:21:24.3582404Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/passes
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2025-03-21T20:21:24.3586096Z   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
2025-03-21T20:21:24.3588228Z   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
2025-03-21T20:21:24.3590382Z   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
2025-03-21T20:21:24.3592587Z   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
2025-03-21T20:21:24.3594795Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:24.3597003Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:24.3599235Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:24.3601427Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:24.3603638Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:24.3605528Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/quantizer
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2025-03-21T20:21:24.3608723Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/tester
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2025-03-21T20:21:24.3612589Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:21:24.3614693Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:21:24.3616749Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:21:24.3618248Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/tosautil
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2025-03-21T20:21:24.3621156Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/util
2025-03-21T20:21:24.3622731Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/util
2025-03-21T20:21:24.3624178Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party
2025-03-21T20:21:24.3625198Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:24.3627033Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:24.3628867Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/python
2025-03-21T20:21:24.3630186Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:24.3632337Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:24.3635327Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:24.3637493Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3639728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3642704Z   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
2025-03-21T20:21:24.3645554Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3648431Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3651411Z   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
2025-03-21T20:21:24.3654305Z   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
2025-03-21T20:21:24.3657381Z   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
2025-03-21T20:21:24.3660189Z   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
2025-03-21T20:21:24.3662988Z   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
2025-03-21T20:21:24.3666022Z   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
2025-03-21T20:21:24.3669011Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3671885Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3674754Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3677558Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3680328Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3683182Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3686044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3688949Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3691960Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3694868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3697729Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3700785Z   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
2025-03-21T20:21:24.3703663Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3706698Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3709739Z   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
2025-03-21T20:21:24.3712600Z   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
2025-03-21T20:21:24.3715425Z   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
2025-03-21T20:21:24.3718248Z   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
2025-03-21T20:21:24.3721066Z   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
2025-03-21T20:21:24.3723943Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3726959Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3729838Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3732777Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3735614Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:24.3737581Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/test
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2025-03-21T20:21:24.3740936Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:24.3743419Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
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2025-03-21T20:21:24.3747661Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:24.3749575Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:24.3751274Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example
2025-03-21T20:21:24.3752627Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:24.3754691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:24.3756651Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:24.3758591Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:24.3760179Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example/example_backend_delegate_passes
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2025-03-21T20:21:24.3764884Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:24.3766796Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example/example_operators
2025-03-21T20:21:24.3768525Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3770903Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3773137Z   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
2025-03-21T20:21:24.3775406Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3777678Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3779937Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3782189Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:24.3784424Z   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
2025-03-21T20:21:24.3786800Z   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
2025-03-21T20:21:24.3789021Z   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
2025-03-21T20:21:24.3790541Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek
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2025-03-21T20:21:24.3793710Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
2025-03-21T20:21:24.3795717Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
2025-03-21T20:21:24.3797126Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek/_passes
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2025-03-21T20:21:24.3800737Z   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
2025-03-21T20:21:24.3802378Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek/quantizer
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2025-03-21T20:21:24.3807571Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:24.3809705Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:24.3811918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:24.3813406Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm
2025-03-21T20:21:24.3814777Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm
2025-03-21T20:21:24.3816243Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/_passes
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2025-03-21T20:21:24.3819777Z   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
2025-03-21T20:21:24.3821933Z   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
2025-03-21T20:21:24.3824092Z   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
2025-03-21T20:21:24.3826181Z   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
2025-03-21T20:21:24.3828723Z   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
2025-03-21T20:21:24.3830969Z   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
2025-03-21T20:21:24.3833190Z   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
2025-03-21T20:21:24.3835278Z   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
2025-03-21T20:21:24.3837375Z   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
2025-03-21T20:21:24.3839719Z   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
2025-03-21T20:21:24.3841908Z   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
2025-03-21T20:21:24.3844091Z   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
2025-03-21T20:21:24.3846219Z   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
2025-03-21T20:21:24.3848337Z   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
2025-03-21T20:21:24.3850577Z   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
2025-03-21T20:21:24.3852673Z   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
2025-03-21T20:21:24.3854785Z   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
2025-03-21T20:21:24.3856957Z   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
2025-03-21T20:21:24.3859192Z   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
2025-03-21T20:21:24.3861357Z   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
2025-03-21T20:21:24.3863464Z   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
2025-03-21T20:21:24.3865593Z   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
2025-03-21T20:21:24.3867721Z   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
2025-03-21T20:21:24.3870046Z   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
2025-03-21T20:21:24.3872197Z   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
2025-03-21T20:21:24.3874300Z   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
2025-03-21T20:21:24.3876318Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:24.3877761Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/builders
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2025-03-21T20:21:24.3881444Z   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
2025-03-21T20:21:24.3883524Z   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
2025-03-21T20:21:24.3885649Z   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
2025-03-21T20:21:24.3887781Z   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
2025-03-21T20:21:24.3889837Z   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
2025-03-21T20:21:24.3892024Z   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
2025-03-21T20:21:24.3894133Z   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
2025-03-21T20:21:24.3896258Z   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
2025-03-21T20:21:24.3898341Z   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
2025-03-21T20:21:24.3900392Z   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
2025-03-21T20:21:24.3902450Z   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
2025-03-21T20:21:24.3904680Z   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
2025-03-21T20:21:24.3906766Z   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
2025-03-21T20:21:24.3908826Z   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
2025-03-21T20:21:24.3910918Z   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
2025-03-21T20:21:24.3913309Z   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
2025-03-21T20:21:24.3915387Z   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
2025-03-21T20:21:24.3917462Z   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
2025-03-21T20:21:24.3919586Z   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
2025-03-21T20:21:24.3921824Z   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
2025-03-21T20:21:24.3923932Z   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
2025-03-21T20:21:24.3926002Z   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
2025-03-21T20:21:24.3928062Z   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
2025-03-21T20:21:24.3930093Z   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
2025-03-21T20:21:24.3932285Z   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
2025-03-21T20:21:24.3934363Z   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
2025-03-21T20:21:24.3936436Z   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
2025-03-21T20:21:24.3938559Z   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
2025-03-21T20:21:24.3940661Z   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
2025-03-21T20:21:24.3942743Z   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
2025-03-21T20:21:24.3944832Z   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
2025-03-21T20:21:24.3946955Z   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
2025-03-21T20:21:24.3949084Z   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
2025-03-21T20:21:24.3951150Z   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
2025-03-21T20:21:24.3953206Z   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
2025-03-21T20:21:24.3955419Z   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
2025-03-21T20:21:24.3957492Z   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
2025-03-21T20:21:24.3959626Z   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
2025-03-21T20:21:24.3961706Z   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
2025-03-21T20:21:24.3963893Z   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
2025-03-21T20:21:24.3965973Z   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
2025-03-21T20:21:24.3968039Z   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
2025-03-21T20:21:24.3970131Z   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
2025-03-21T20:21:24.3972278Z   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
2025-03-21T20:21:24.3974327Z   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
2025-03-21T20:21:24.3976370Z   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
2025-03-21T20:21:24.3978395Z   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
2025-03-21T20:21:24.3980422Z   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
2025-03-21T20:21:24.3982446Z   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
2025-03-21T20:21:24.3984488Z   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
2025-03-21T20:21:24.3986547Z   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
2025-03-21T20:21:24.3988630Z   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
2025-03-21T20:21:24.3990711Z   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
2025-03-21T20:21:24.3992784Z   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
2025-03-21T20:21:24.3994885Z   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
2025-03-21T20:21:24.3997139Z   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
2025-03-21T20:21:24.3999215Z   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
2025-03-21T20:21:24.4001315Z   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
2025-03-21T20:21:24.4003430Z   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
2025-03-21T20:21:24.4005880Z   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
2025-03-21T20:21:24.4007973Z   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
2025-03-21T20:21:24.4010081Z   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
2025-03-21T20:21:24.4012259Z   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
2025-03-21T20:21:24.4014376Z   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
2025-03-21T20:21:24.4016592Z   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
2025-03-21T20:21:24.4018711Z   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
2025-03-21T20:21:24.4020778Z   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
2025-03-21T20:21:24.4022839Z   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
2025-03-21T20:21:24.4024908Z   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
2025-03-21T20:21:24.4027008Z   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
2025-03-21T20:21:24.4029040Z   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
2025-03-21T20:21:24.4031073Z   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
2025-03-21T20:21:24.4033153Z   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
2025-03-21T20:21:24.4035265Z   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
2025-03-21T20:21:24.4037684Z   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
2025-03-21T20:21:24.4039912Z   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
2025-03-21T20:21:24.4042052Z   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
2025-03-21T20:21:24.4044150Z   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
2025-03-21T20:21:24.4046233Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:24.4047823Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/debugger
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2025-03-21T20:21:24.4050919Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/partition
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2025-03-21T20:21:24.4054676Z   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
2025-03-21T20:21:24.4056825Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
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2025-03-21T20:21:24.4059913Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:24.4062115Z   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
2025-03-21T20:21:24.4064291Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:24.4066429Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:24.4068045Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/quantizer/observers
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2025-03-21T20:21:24.4071761Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/serialization
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2025-03-21T20:21:24.4075717Z   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
2025-03-21T20:21:24.4078044Z   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
2025-03-21T20:21:24.4079798Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/tests
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2025-03-21T20:21:24.4083263Z   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
2025-03-21T20:21:24.4085280Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
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2025-03-21T20:21:24.4088154Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:24.4090276Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:24.4091803Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/aot
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2025-03-21T20:21:24.4095543Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms
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2025-03-21T20:21:24.4098830Z   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
2025-03-21T20:21:24.4100850Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4102853Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4105118Z   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
2025-03-21T20:21:24.4107230Z   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
2025-03-21T20:21:24.4109277Z   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
2025-03-21T20:21:24.4111307Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_dequant_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4113343Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4115294Z   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
2025-03-21T20:21:24.4160698Z   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
2025-03-21T20:21:24.4162736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4165136Z   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
2025-03-21T20:21:24.4167122Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:24.4169119Z   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
2025-03-21T20:21:24.4170737Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms/test
2025-03-21T20:21:24.4172396Z   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
2025-03-21T20:21:24.4174982Z   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
2025-03-21T20:21:24.4177221Z   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
2025-03-21T20:21:24.4178683Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan
2025-03-21T20:21:24.4179952Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:24.4181745Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:24.4183575Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:24.4185370Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:24.4187200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:24.4188598Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/_passes
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2025-03-21T20:21:24.4192017Z   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
2025-03-21T20:21:24.4194151Z   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
2025-03-21T20:21:24.4196243Z   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
2025-03-21T20:21:24.4198349Z   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
2025-03-21T20:21:24.4200486Z   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
2025-03-21T20:21:24.4202607Z   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
2025-03-21T20:21:24.4205074Z   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
2025-03-21T20:21:24.4206582Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/partitioner
2025-03-21T20:21:24.4208189Z   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
2025-03-21T20:21:24.4209765Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/quantizer
2025-03-21T20:21:24.4211576Z   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
2025-03-21T20:21:24.4213112Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime
2025-03-21T20:21:24.4214793Z   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
2025-03-21T20:21:24.4216340Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph
2025-03-21T20:21:24.4217335Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-03-21T20:21:24.4218401Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:24.4222810Z   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
2025-03-21T20:21:24.4225386Z   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
2025-03-21T20:21:24.4227861Z   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
2025-03-21T20:21:24.4230299Z   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
2025-03-21T20:21:24.4232754Z   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
2025-03-21T20:21:24.4235210Z   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
2025-03-21T20:21:24.4237798Z   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
2025-03-21T20:21:24.4240433Z   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
2025-03-21T20:21:24.4242936Z   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
2025-03-21T20:21:24.4245383Z   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
2025-03-21T20:21:24.4248020Z   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
2025-03-21T20:21:24.4250519Z   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
2025-03-21T20:21:24.4252972Z   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
2025-03-21T20:21:24.4255543Z   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
2025-03-21T20:21:24.4258250Z   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
2025-03-21T20:21:24.4260882Z   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
2025-03-21T20:21:24.4263477Z   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
2025-03-21T20:21:24.4266005Z   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
2025-03-21T20:21:24.4268494Z   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
2025-03-21T20:21:24.4271134Z   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
2025-03-21T20:21:24.4273776Z   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
2025-03-21T20:21:24.4276286Z   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
2025-03-21T20:21:24.4278809Z   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
2025-03-21T20:21:24.4281352Z   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
2025-03-21T20:21:24.4283783Z   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
2025-03-21T20:21:24.4286177Z   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
2025-03-21T20:21:24.4288612Z   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
2025-03-21T20:21:24.4291173Z   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
2025-03-21T20:21:24.4293802Z   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
2025-03-21T20:21:24.4296333Z   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
2025-03-21T20:21:24.4298865Z   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
2025-03-21T20:21:24.4301429Z   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
2025-03-21T20:21:24.4304119Z   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
2025-03-21T20:21:24.4306756Z   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
2025-03-21T20:21:24.4309370Z   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
2025-03-21T20:21:24.4311853Z   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
2025-03-21T20:21:24.4314289Z   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
2025-03-21T20:21:24.4316714Z   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
2025-03-21T20:21:24.4319207Z   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
2025-03-21T20:21:24.4321685Z   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
2025-03-21T20:21:24.4324123Z   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
2025-03-21T20:21:24.4326561Z   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
2025-03-21T20:21:24.4329042Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.4331623Z   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
2025-03-21T20:21:24.4334105Z   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
2025-03-21T20:21:24.4336944Z   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
2025-03-21T20:21:24.4339493Z   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
2025-03-21T20:21:24.4342092Z   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
2025-03-21T20:21:24.4344662Z   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
2025-03-21T20:21:24.4347381Z   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
2025-03-21T20:21:24.4349976Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.4352610Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.4355242Z   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
2025-03-21T20:21:24.4357763Z   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
2025-03-21T20:21:24.4360270Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.4362780Z   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
2025-03-21T20:21:24.4365312Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:24.4367807Z   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
2025-03-21T20:21:24.4370244Z   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
2025-03-21T20:21:24.4372849Z   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
2025-03-21T20:21:24.4375326Z   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
2025-03-21T20:21:24.4377008Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/serialization
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2025-03-21T20:21:24.4381123Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/serialization
2025-03-21T20:21:24.4383440Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/serialization
2025-03-21T20:21:24.4385691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/serialization
2025-03-21T20:21:24.4387198Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/test
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2025-03-21T20:21:24.4390793Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test
2025-03-21T20:21:24.4392902Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test
2025-03-21T20:21:24.4394440Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/test/op_tests
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2025-03-21T20:21:24.4398135Z   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
2025-03-21T20:21:24.4400459Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:24.4402157Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:24.4403980Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:24.4406310Z   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
2025-03-21T20:21:24.4408670Z   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
2025-03-21T20:21:24.4411151Z   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
2025-03-21T20:21:24.4413554Z   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
2025-03-21T20:21:24.4415890Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/test/op_tests/utils
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2025-03-21T20:21:24.4521560Z   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
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2025-03-21T20:21:24.4536281Z   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
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2025-03-21T20:21:24.4540684Z   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
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2025-03-21T20:21:24.4544840Z   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
2025-03-21T20:21:24.4547230Z   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
2025-03-21T20:21:24.4549403Z   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
2025-03-21T20:21:24.4551498Z   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
2025-03-21T20:21:24.4553668Z   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
2025-03-21T20:21:24.4555838Z   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
2025-03-21T20:21:24.4558034Z   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
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2025-03-21T20:21:24.4566429Z   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
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2025-03-21T20:21:24.4570716Z   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
2025-03-21T20:21:24.4572816Z   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
2025-03-21T20:21:24.4574929Z   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
2025-03-21T20:21:24.4577045Z   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
2025-03-21T20:21:24.4579117Z   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
2025-03-21T20:21:24.4581189Z   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
2025-03-21T20:21:24.4583270Z   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
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2025-03-21T20:21:24.4589747Z   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
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2025-03-21T20:21:24.4596028Z   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
2025-03-21T20:21:24.4598280Z   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
2025-03-21T20:21:24.4600548Z   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
2025-03-21T20:21:24.4602701Z   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
2025-03-21T20:21:24.4604994Z   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
2025-03-21T20:21:24.4607105Z   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
2025-03-21T20:21:24.4608633Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition
2025-03-21T20:21:24.4610157Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:21:24.4611281Z   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
2025-03-21T20:21:24.4611728Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:24.4612776Z   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
2025-03-21T20:21:24.4613876Z   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
2025-03-21T20:21:24.4615025Z   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
2025-03-21T20:21:24.4616119Z   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
2025-03-21T20:21:24.4617254Z   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
2025-03-21T20:21:24.4618364Z   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
2025-03-21T20:21:24.4618801Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:24.4620128Z   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
2025-03-21T20:21:24.4621184Z   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
2025-03-21T20:21:24.4621578Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:24.4622607Z   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
2025-03-21T20:21:24.4623683Z   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
2025-03-21T20:21:24.4624096Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:21:24.4625353Z   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
2025-03-21T20:21:24.4626491Z   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
2025-03-21T20:21:24.4627620Z   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
2025-03-21T20:21:24.4628649Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:24.4629012Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:21:24.4629985Z   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
2025-03-21T20:21:24.4630991Z   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
2025-03-21T20:21:24.4631391Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:21:24.4632398Z   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
2025-03-21T20:21:24.4633378Z   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
2025-03-21T20:21:24.4634412Z   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
2025-03-21T20:21:24.4635449Z   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
2025-03-21T20:21:24.4636476Z   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
2025-03-21T20:21:24.4637526Z   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
2025-03-21T20:21:24.4638548Z   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
2025-03-21T20:21:24.4639759Z   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
2025-03-21T20:21:24.4640790Z   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
2025-03-21T20:21:24.4641788Z   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
2025-03-21T20:21:24.4642835Z   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
2025-03-21T20:21:24.4643866Z   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
2025-03-21T20:21:24.4644939Z   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
2025-03-21T20:21:24.4645334Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:24.4646279Z   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
2025-03-21T20:21:24.4647228Z   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
2025-03-21T20:21:24.4648209Z   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
2025-03-21T20:21:24.4649212Z   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
2025-03-21T20:21:24.4650164Z   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
2025-03-21T20:21:24.4651205Z   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
2025-03-21T20:21:24.4652162Z   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
2025-03-21T20:21:24.4653203Z   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
2025-03-21T20:21:24.4654172Z   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
2025-03-21T20:21:24.4655152Z   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
2025-03-21T20:21:24.4656111Z   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
2025-03-21T20:21:24.4657062Z   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
2025-03-21T20:21:24.4658002Z   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
2025-03-21T20:21:24.4658965Z   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
2025-03-21T20:21:24.4660078Z   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
2025-03-21T20:21:24.4661057Z   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
2025-03-21T20:21:24.4662043Z   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
2025-03-21T20:21:24.4663007Z   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
2025-03-21T20:21:24.4664085Z   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
2025-03-21T20:21:24.4665062Z   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
2025-03-21T20:21:24.4666040Z   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
2025-03-21T20:21:24.4667027Z   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
2025-03-21T20:21:24.4668003Z   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
2025-03-21T20:21:24.4668985Z   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
2025-03-21T20:21:24.4669973Z   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
2025-03-21T20:21:24.4670935Z   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
2025-03-21T20:21:24.4671911Z   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
2025-03-21T20:21:24.4691748Z   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
2025-03-21T20:21:24.4692750Z   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
2025-03-21T20:21:24.4693801Z   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
2025-03-21T20:21:24.4694792Z   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
2025-03-21T20:21:24.4695750Z   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
2025-03-21T20:21:24.4696710Z   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
2025-03-21T20:21:24.4697687Z   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
2025-03-21T20:21:24.4698870Z   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
2025-03-21T20:21:24.4699841Z   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
2025-03-21T20:21:24.4700798Z   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
2025-03-21T20:21:24.4701764Z   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
2025-03-21T20:21:24.4702902Z   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
2025-03-21T20:21:24.4704020Z   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
2025-03-21T20:21:24.4704441Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:24.4705522Z   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
2025-03-21T20:21:24.4706598Z   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
2025-03-21T20:21:24.4707739Z   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
2025-03-21T20:21:24.4708819Z   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
2025-03-21T20:21:24.4709894Z   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
2025-03-21T20:21:24.4710975Z   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
2025-03-21T20:21:24.4712056Z   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
2025-03-21T20:21:24.4712493Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/quantizer
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2025-03-21T20:21:24.4829895Z   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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2025-03-21T20:21:24.5112836Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:24.5115019Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:24.5117257Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:24.5119493Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:24.5121736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:24.5123969Z   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
2025-03-21T20:21:24.5126212Z   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
2025-03-21T20:21:24.5128431Z   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
2025-03-21T20:21:24.5130922Z   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
2025-03-21T20:21:24.5133125Z   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
2025-03-21T20:21:24.5135303Z   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
2025-03-21T20:21:24.5137434Z   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
2025-03-21T20:21:24.5139593Z   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
2025-03-21T20:21:24.5141951Z   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
2025-03-21T20:21:24.5144120Z   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
2025-03-21T20:21:24.5146281Z   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
2025-03-21T20:21:24.5148432Z   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
2025-03-21T20:21:24.5149988Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/partition
2025-03-21T20:21:24.5151547Z   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
2025-03-21T20:21:24.5153713Z   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
2025-03-21T20:21:24.5155324Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:21:24.5156994Z   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
2025-03-21T20:21:24.5159340Z   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
2025-03-21T20:21:24.5161642Z   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
2025-03-21T20:21:24.5163216Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:21:24.5164657Z   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
2025-03-21T20:21:24.5166698Z   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
2025-03-21T20:21:24.5168820Z   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
2025-03-21T20:21:24.5171005Z   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
2025-03-21T20:21:24.5173300Z   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
2025-03-21T20:21:24.5175384Z   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
2025-03-21T20:21:24.5177452Z   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
2025-03-21T20:21:24.5178920Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:21:24.5180393Z   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
2025-03-21T20:21:24.5182529Z   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
2025-03-21T20:21:24.5184004Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml
2025-03-21T20:21:24.5184923Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/compiler
2025-03-21T20:21:24.5186494Z   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
2025-03-21T20:21:24.5188718Z   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
2025-03-21T20:21:24.5190365Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/partition
2025-03-21T20:21:24.5191957Z   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
2025-03-21T20:21:24.5194228Z   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
2025-03-21T20:21:24.5195890Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:24.5197474Z   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
2025-03-21T20:21:24.5199715Z   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
2025-03-21T20:21:24.5201329Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/test
2025-03-21T20:21:24.5202932Z   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
2025-03-21T20:21:24.5205375Z   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
2025-03-21T20:21:24.5206972Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime
2025-03-21T20:21:24.5208015Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:24.5209789Z   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
2025-03-21T20:21:24.5211613Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:24.5213748Z   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
2025-03-21T20:21:24.5216044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml
2025-03-21T20:21:24.5217509Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence
2025-03-21T20:21:24.5218337Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot
2025-03-21T20:21:24.5219706Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:24.5221606Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:24.5223762Z   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
2025-03-21T20:21:24.5225775Z   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
2025-03-21T20:21:24.5227714Z   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
2025-03-21T20:21:24.5229644Z   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
2025-03-21T20:21:24.5231660Z   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
2025-03-21T20:21:24.5233693Z   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
2025-03-21T20:21:24.5235700Z   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
2025-03-21T20:21:24.5237678Z   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
2025-03-21T20:21:24.5239590Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:24.5241553Z   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
2025-03-21T20:21:24.5243547Z   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
2025-03-21T20:21:24.5245489Z   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
2025-03-21T20:21:24.5247440Z   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
2025-03-21T20:21:24.5249402Z   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
2025-03-21T20:21:24.5251416Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:24.5252843Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:24.5254616Z   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
2025-03-21T20:21:24.5256849Z   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
2025-03-21T20:21:24.5259086Z   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
2025-03-21T20:21:24.5261291Z   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
2025-03-21T20:21:24.5262835Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/tests
2025-03-21T20:21:24.5264517Z   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
2025-03-21T20:21:24.5266748Z   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
2025-03-21T20:21:24.5268932Z   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
2025-03-21T20:21:24.5271161Z   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
2025-03-21T20:21:24.5273341Z   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
2025-03-21T20:21:24.5275576Z   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
2025-03-21T20:21:24.5277801Z   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
2025-03-21T20:21:24.5280036Z   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
2025-03-21T20:21:24.5282138Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:24.5284158Z   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
2025-03-21T20:21:24.5286224Z   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
2025-03-21T20:21:24.5287680Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/runtime
2025-03-21T20:21:24.5289119Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:24.5291237Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:24.5293281Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:24.5295288Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:24.5296868Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils
2025-03-21T20:21:24.5298309Z   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
2025-03-21T20:21:24.5300289Z   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
2025-03-21T20:21:24.5302314Z   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
2025-03-21T20:21:24.5303986Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO
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2025-03-21T20:21:24.5311608Z   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
2025-03-21T20:21:24.5313351Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/examples
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2025-03-21T20:21:24.5317529Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:24.5319971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:24.5321692Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto
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2025-03-21T20:21:24.5325050Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen
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2025-03-21T20:21:24.5333727Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:24.5336492Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:24.5338763Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
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2025-03-21T20:21:24.5343590Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:24.5346375Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:24.5349242Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:24.5351299Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
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2025-03-21T20:21:24.5356179Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:24.5359000Z   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
2025-03-21T20:21:24.5361826Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:24.5363856Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
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2025-03-21T20:21:24.5368795Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:24.5370958Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
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2025-03-21T20:21:24.5376184Z   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
2025-03-21T20:21:24.5378414Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:24.5383563Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:24.5389724Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:24.5392631Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:24.5395772Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:24.5398712Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:24.5405533Z   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
2025-03-21T20:21:24.5408246Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
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2025-03-21T20:21:24.5421973Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
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2025-03-21T20:21:24.5436383Z   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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2025-03-21T20:21:24.5442053Z   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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2025-03-21T20:21:24.5447738Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:24.5450626Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:24.5453509Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:24.5456287Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:24.5458150Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/codegen
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2025-03-21T20:21:24.5464012Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/gen_all_oplist.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools
2025-03-21T20:21:24.5465899Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/gen_oplist.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools
2025-03-21T20:21:24.5467846Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools
2025-03-21T20:21:24.5469774Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools
2025-03-21T20:21:24.5471830Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools
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2025-03-21T20:21:24.5478967Z   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
2025-03-21T20:21:24.5481146Z   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
2025-03-21T20:21:24.5483317Z   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
2025-03-21T20:21:24.5484935Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples
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2025-03-21T20:21:24.5492148Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/apple/coreml/llama
2025-03-21T20:21:24.5494477Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama/run.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/apple/coreml/llama
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2025-03-21T20:21:24.5498870Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/apple/coreml/llama
2025-03-21T20:21:24.5500565Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/llm_pte_finetuning
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2025-03-21T20:21:24.5504586Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/llm_pte_finetuning
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2025-03-21T20:21:24.5740069Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/text_decoder
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2025-03-21T20:21:24.5743713Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test
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2025-03-21T20:21:24.5748252Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:24.5750200Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder
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2025-03-21T20:21:24.5754506Z   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
2025-03-21T20:21:24.5756371Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test
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2025-03-21T20:21:24.5761160Z   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
2025-03-21T20:21:24.5762977Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava
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2025-03-21T20:21:24.5766321Z   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
2025-03-21T20:21:24.5768404Z   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
2025-03-21T20:21:24.5770385Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:24.5771888Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava/test
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2025-03-21T20:21:24.5775498Z   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
2025-03-21T20:21:24.5776965Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/lstm
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2025-03-21T20:21:24.5780238Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/lstm
2025-03-21T20:21:24.5781647Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilebert
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2025-03-21T20:21:24.5785188Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilebert
2025-03-21T20:21:24.5786701Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v2
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2025-03-21T20:21:24.5790322Z   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
2025-03-21T20:21:24.5791848Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v3
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2025-03-21T20:21:24.5800481Z   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
2025-03-21T20:21:24.5802072Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini-lora
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2025-03-21T20:21:24.5805655Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini
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2025-03-21T20:21:24.5809135Z   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
2025-03-21T20:21:24.5811379Z   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
2025-03-21T20:21:24.5813749Z   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
2025-03-21T20:21:24.5815893Z   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
2025-03-21T20:21:24.5817436Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-4-mini
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2025-03-21T20:21:24.5820999Z   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
2025-03-21T20:21:24.5822516Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/qwen2_5
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2025-03-21T20:21:24.5825954Z   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
2025-03-21T20:21:24.5827420Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/resnet
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2025-03-21T20:21:24.5830775Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/resnet
2025-03-21T20:21:24.5832179Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/test
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2025-03-21T20:21:24.5835486Z   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
2025-03-21T20:21:24.5836964Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/torchvision_vit
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2025-03-21T20:21:24.5840701Z   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
2025-03-21T20:21:24.5842233Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/toy_model
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2025-03-21T20:21:24.5845913Z   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
2025-03-21T20:21:24.5847363Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/wav2letter
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2025-03-21T20:21:24.5852455Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/moshi
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2025-03-21T20:21:24.5855020Z   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
2025-03-21T20:21:24.5856396Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir
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2025-03-21T20:21:24.5858901Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5860367Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5861852Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5863360Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5864885Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5866421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5867910Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5869354Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5870837Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5872434Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5873990Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5875495Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5877019Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5878518Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5879225Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5879907Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5880726Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5881382Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5882032Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5882689Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5883330Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5883991Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5884734Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.5885074Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize
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2025-03-21T20:21:24.5911057Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5911913Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5912728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5913592Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5914391Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5915189Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5916034Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5916819Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5917174Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize/test
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2025-03-21T20:21:24.5918887Z   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
2025-03-21T20:21:24.5919781Z   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
2025-03-21T20:21:24.5920715Z   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
2025-03-21T20:21:24.5921589Z   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
2025-03-21T20:21:24.5922757Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5923566Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:24.5923873Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend
2025-03-21T20:21:24.5924673Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5925490Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5926336Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5927374Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5928214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5928971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:24.5929430Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:24.5930669Z   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
2025-03-21T20:21:24.5931878Z   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
2025-03-21T20:21:24.5933074Z   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
2025-03-21T20:21:24.5934242Z   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
2025-03-21T20:21:24.5934575Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test
2025-03-21T20:21:24.5935532Z   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
2025-03-21T20:21:24.5936526Z   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
2025-03-21T20:21:24.5937485Z   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
2025-03-21T20:21:24.5938403Z   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
2025-03-21T20:21:24.5939305Z   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
2025-03-21T20:21:24.5940191Z   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
2025-03-21T20:21:24.5941158Z   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
2025-03-21T20:21:24.5942191Z   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
2025-03-21T20:21:24.5943107Z   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
2025-03-21T20:21:24.5944032Z   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
2025-03-21T20:21:24.5944945Z   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
2025-03-21T20:21:24.5945863Z   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
2025-03-21T20:21:24.5946897Z   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
2025-03-21T20:21:24.5947831Z   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
2025-03-21T20:21:24.5948790Z   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
2025-03-21T20:21:24.5949693Z   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
2025-03-21T20:21:24.5950553Z   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
2025-03-21T20:21:24.5951418Z   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
2025-03-21T20:21:24.5951793Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:21:24.5952815Z   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
2025-03-21T20:21:24.5953812Z   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
2025-03-21T20:21:24.5954220Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:24.6044128Z   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
2025-03-21T20:21:24.6045372Z   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
2025-03-21T20:21:24.6046353Z   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
2025-03-21T20:21:24.6046664Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/capture
2025-03-21T20:21:24.6047422Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:24.6048192Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:24.6048946Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:24.6050051Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:24.6050372Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects
2025-03-21T20:21:24.6051314Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:24.6052076Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:24.6052435Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend
2025-03-21T20:21:24.6053306Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/backend
2025-03-21T20:21:24.6053687Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:21:24.6054904Z   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
2025-03-21T20:21:24.6055256Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge
2025-03-21T20:21:24.6056085Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:24.6056442Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:21:24.6057333Z   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
2025-03-21T20:21:24.6058222Z   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
2025-03-21T20:21:24.6058607Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:24.6059537Z   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
2025-03-21T20:21:24.6060487Z   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
2025-03-21T20:21:24.6061410Z   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
2025-03-21T20:21:24.6061763Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:21:24.6062626Z   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
2025-03-21T20:21:24.6063557Z   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
2025-03-21T20:21:24.6063947Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:24.6064906Z   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
2025-03-21T20:21:24.6065279Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:21:24.6066164Z   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
2025-03-21T20:21:24.6067076Z   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
2025-03-21T20:21:24.6067596Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:21:24.6068543Z   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
2025-03-21T20:21:24.6069498Z   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
2025-03-21T20:21:24.6070338Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:24.6070680Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/test
2025-03-21T20:21:24.6071600Z   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
2025-03-21T20:21:24.6071894Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit
2025-03-21T20:21:24.6072707Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:24.6073475Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:24.6074197Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:24.6074520Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit/test
2025-03-21T20:21:24.6075317Z   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
2025-03-21T20:21:24.6075635Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator
2025-03-21T20:21:24.6076421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:24.6077200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:24.6077964Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:24.6078300Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator/test
2025-03-21T20:21:24.6079190Z   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
2025-03-21T20:21:24.6079492Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/passes
2025-03-21T20:21:24.6080243Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6081146Z   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
2025-03-21T20:21:24.6081953Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6082774Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6083651Z   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
2025-03-21T20:21:24.6084487Z   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
2025-03-21T20:21:24.6085345Z   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
2025-03-21T20:21:24.6086392Z   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
2025-03-21T20:21:24.6087251Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6165485Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6166459Z   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
2025-03-21T20:21:24.6167302Z   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
2025-03-21T20:21:24.6168487Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6169373Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6170271Z   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
2025-03-21T20:21:24.6171147Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6172011Z   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
2025-03-21T20:21:24.6172840Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6173657Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6174524Z   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
2025-03-21T20:21:24.6175399Z   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
2025-03-21T20:21:24.6176210Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6177100Z   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
2025-03-21T20:21:24.6178056Z   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
2025-03-21T20:21:24.6178948Z   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
2025-03-21T20:21:24.6179796Z   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
2025-03-21T20:21:24.6180685Z   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
2025-03-21T20:21:24.6181522Z   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
2025-03-21T20:21:24.6182563Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:24.6183393Z   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
2025-03-21T20:21:24.6184202Z   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
2025-03-21T20:21:24.6185060Z   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
2025-03-21T20:21:24.6185369Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program
2025-03-21T20:21:24.6186129Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:24.6187049Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:24.6187836Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:24.6188179Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program/test
2025-03-21T20:21:24.6189011Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:24.6189909Z   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
2025-03-21T20:21:24.6190790Z   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
2025-03-21T20:21:24.6191098Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/serde
2025-03-21T20:21:24.6191832Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6192643Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6193379Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6194155Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6194911Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6195642Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6196398Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:24.6196703Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/tests
2025-03-21T20:21:24.6197453Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6198198Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6199008Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6199831Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6200684Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6201485Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6202261Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6203012Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6204010Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6204838Z   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
2025-03-21T20:21:24.6205903Z   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
2025-03-21T20:21:24.6206667Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6207457Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6208302Z   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
2025-03-21T20:21:24.6209176Z   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
2025-03-21T20:21:24.6391564Z   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
2025-03-21T20:21:24.6392462Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6393250Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6394044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6394804Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6395614Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6396509Z   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
2025-03-21T20:21:24.6397339Z   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
2025-03-21T20:21:24.6398145Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6398966Z   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
2025-03-21T20:21:24.6399775Z   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
2025-03-21T20:21:24.6400879Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6401631Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6402390Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6403187Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6404093Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6404886Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:24.6405446Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification
2025-03-21T20:21:24.6406349Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:24.6407186Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:24.6408069Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:24.6408917Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:24.6409285Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification/test
2025-03-21T20:21:24.6410234Z   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
2025-03-21T20:21:24.6411015Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:24.6411320Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension
2025-03-21T20:21:24.6411686Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/android_test
2025-03-21T20:21:24.6412600Z   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
2025-03-21T20:21:24.6412959Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/export_util
2025-03-21T20:21:24.6413833Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:24.6414717Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:24.6415084Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor
2025-03-21T20:21:24.6415948Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor
2025-03-21T20:21:24.6416372Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:24.6417365Z   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
2025-03-21T20:21:24.6418433Z   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
2025-03-21T20:21:24.6419647Z   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
2025-03-21T20:21:24.6420687Z   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
2025-03-21T20:21:24.6421720Z   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
2025-03-21T20:21:24.6422113Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/test
2025-03-21T20:21:24.6423092Z   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
2025-03-21T20:21:24.6423452Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util
2025-03-21T20:21:24.6424417Z   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
2025-03-21T20:21:24.6425293Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:24.6426158Z   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
2025-03-21T20:21:24.6426569Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util/converters
2025-03-21T20:21:24.6427614Z   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
2025-03-21T20:21:24.6427970Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings
2025-03-21T20:21:24.6428903Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:24.6429285Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings/test
2025-03-21T20:21:24.6430248Z   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
2025-03-21T20:21:24.6431282Z   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
2025-03-21T20:21:24.6432289Z   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
2025-03-21T20:21:24.6433223Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:24.6434322Z   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
2025-03-21T20:21:24.6434653Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree
2025-03-21T20:21:24.6507939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree
2025-03-21T20:21:24.6508328Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree/test
2025-03-21T20:21:24.6509207Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree/test
2025-03-21T20:21:24.6509558Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training
2025-03-21T20:21:24.6510768Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training
2025-03-21T20:21:24.6511187Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings
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2025-03-21T20:21:24.6512694Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings/test
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2025-03-21T20:21:24.6514999Z   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
2025-03-21T20:21:24.6515420Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples
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2025-03-21T20:21:24.6516911Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/export_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR
2025-03-21T20:21:24.6517936Z   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
2025-03-21T20:21:24.6518395Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:24.6519564Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR/test
2025-03-21T20:21:24.6519894Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm
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2025-03-21T20:21:24.6522118Z   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
2025-03-21T20:21:24.6523069Z   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
2025-03-21T20:21:24.6524019Z   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
2025-03-21T20:21:24.6525032Z   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
2025-03-21T20:21:24.6526053Z   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
2025-03-21T20:21:24.6527052Z   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
2025-03-21T20:21:24.6528021Z   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
2025-03-21T20:21:24.6528471Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:24.6529728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:24.6530268Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party
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2025-03-21T20:21:24.6532207Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:24.6533450Z   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
2025-03-21T20:21:24.6534543Z   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
2025-03-21T20:21:24.6534909Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/export
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2025-03-21T20:21:24.6536667Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:24.6537592Z   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
2025-03-21T20:21:24.6538544Z   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
2025-03-21T20:21:24.6539478Z   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
2025-03-21T20:21:24.6540422Z   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
2025-03-21T20:21:24.6540786Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules
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2025-03-21T20:21:24.6542628Z   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
2025-03-21T20:21:24.6543556Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:24.6544446Z   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
2025-03-21T20:21:24.6544835Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules/test
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2025-03-21T20:21:24.6546785Z   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
2025-03-21T20:21:24.6547767Z   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
2025-03-21T20:21:24.6548959Z   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
2025-03-21T20:21:24.6549325Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizer
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2025-03-21T20:21:24.6551171Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/hf_tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:24.6552116Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:24.6626966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:24.6627461Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizer/test
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2025-03-21T20:21:24.6628901Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers
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2025-03-21T20:21:24.6632753Z   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
2025-03-21T20:21:24.6633929Z   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
2025-03-21T20:21:24.6635119Z   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
2025-03-21T20:21:24.6635667Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools
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2025-03-21T20:21:24.6639036Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:24.6639451Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers/tools
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2025-03-21T20:21:24.6641577Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels
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2025-03-21T20:21:24.6643123Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels/quantized/test
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2025-03-21T20:21:24.6645114Z   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
2025-03-21T20:21:24.6646231Z   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
2025-03-21T20:21:24.6647129Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:24.6648075Z   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
2025-03-21T20:21:24.6648374Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools
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2025-03-21T20:21:24.6649444Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/backend_debug
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2025-03-21T20:21:24.6651394Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/backend_debug
2025-03-21T20:21:24.6651807Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/backend_debug/tests
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2025-03-21T20:21:24.6653222Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program
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2025-03-21T20:21:24.6656212Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.6657309Z   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
2025-03-21T20:21:24.6658418Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.6659454Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:24.6660070Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/serialize
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2025-03-21T20:21:24.6667620Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/test
2025-03-21T20:21:24.6668637Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/test
2025-03-21T20:21:24.6669119Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/util
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2025-03-21T20:21:24.6671077Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:24.6758287Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:24.6759277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
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2025-03-21T20:21:24.6763540Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
2025-03-21T20:21:24.6764021Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etdump/tests
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2025-03-21T20:21:24.6766331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
2025-03-21T20:21:24.6767205Z   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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2025-03-21T20:21:24.6769404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etrecord
2025-03-21T20:21:24.6769842Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etrecord/tests
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2025-03-21T20:21:24.6771696Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/inspector
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2025-03-21T20:21:24.6775323Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
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2025-03-21T20:21:24.6877245Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/core/portable_type
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2025-03-21T20:21:24.6947434Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:24.6948869Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:24.6950297Z   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
2025-03-21T20:21:24.6951696Z   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
2025-03-21T20:21:24.6953063Z   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
2025-03-21T20:21:24.6954520Z   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
2025-03-21T20:21:24.6955918Z   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
2025-03-21T20:21:24.6957373Z   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
2025-03-21T20:21:24.6958755Z   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
2025-03-21T20:21:24.6959189Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:24.6960307Z   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
2025-03-21T20:21:24.6961831Z   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
2025-03-21T20:21:24.6962973Z   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
2025-03-21T20:21:24.6964149Z   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
2025-03-21T20:21:24.6964629Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:24.6965930Z   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
2025-03-21T20:21:24.6966403Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform
2025-03-21T20:21:24.6967488Z   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
2025-03-21T20:21:24.6968575Z   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
2025-03-21T20:21:24.6969654Z   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
2025-03-21T20:21:24.6971002Z   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
2025-03-21T20:21:24.6972129Z   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
2025-03-21T20:21:24.6973190Z   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
2025-03-21T20:21:24.6974301Z   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
2025-03-21T20:21:24.6975402Z   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
2025-03-21T20:21:24.6976522Z   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
2025-03-21T20:21:24.6977612Z   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
2025-03-21T20:21:24.6978697Z   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
2025-03-21T20:21:24.6979187Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:24.6980381Z   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
2025-03-21T20:21:24.6980788Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension
2025-03-21T20:21:24.6981457Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:24.6982728Z   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
2025-03-21T20:21:24.6983916Z   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
2025-03-21T20:21:24.6985047Z   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
2025-03-21T20:21:24.6985505Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:21:24.6986707Z   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
2025-03-21T20:21:24.6987861Z   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
2025-03-21T20:21:24.6988964Z   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
2025-03-21T20:21:24.6990099Z   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
2025-03-21T20:21:24.6990576Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:24.6991771Z   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
2025-03-21T20:21:24.6992939Z   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
2025-03-21T20:21:24.7631574Z   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
2025-03-21T20:21:24.7631953Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data
2025-03-21T20:21:24.7632265Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data/bin
2025-03-21T20:21:24.7632966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:24.7633723Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:24.7633879Z   running install_egg_info
2025-03-21T20:21:24.7634444Z   Copying executorch.egg-info to pip-out/bdist.linux-aarch64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:21:24.7634602Z   running install_scripts
2025-03-21T20:21:24.7635022Z   creating pip-out/bdist.linux-aarch64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:21:24.7635886Z   creating '/tmp/pip-wheel-cjwr3hdy/.tmp-jm8fc4j9/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl' and adding 'pip-out/bdist.linux-aarch64/wheel' to it
2025-03-21T20:21:24.7636054Z   adding 'executorch/version.py'
2025-03-21T20:21:24.7636355Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:21:24.7636645Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:21:24.7637384Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:21:24.7637699Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:21:24.7638065Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:21:24.7638367Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:21:24.7638712Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:21:24.7639050Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:21:24.7639444Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:21:24.7639808Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:21:24.7640150Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:21:24.7640364Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:21:24.7640627Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:21:24.7641136Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:21:24.7641473Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:21:24.7641760Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:21:24.7642040Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:21:24.7642337Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:21:24.7642652Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:21:24.7642957Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:21:24.7643294Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:21:24.7643601Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:21:24.7643930Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:21:24.7644217Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:21:24.7644504Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:21:24.7644828Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:21:24.7645126Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:21:24.7645389Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:21:24.7645690Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:21:24.7645966Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:21:24.7646257Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:21:24.7646536Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:21:24.7646812Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:21:24.7647090Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:21:24.7647418Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:21:24.7647782Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:21:24.7648151Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:21:24.7648449Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:21:24.7648693Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:21:24.7649002Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:21:24.7649326Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:21:24.7649605Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:21:24.7649893Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:21:24.7650192Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:21:24.7650580Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:21:24.7650978Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:21:24.7651250Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:21:24.7651463Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:21:24.7651660Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:21:24.7651885Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:21:24.7652130Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:21:24.7652346Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:21:24.7652554Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:21:24.7652765Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:21:24.7652999Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:21:24.7653223Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:21:24.7653472Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:21:24.7653684Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:21:24.7654053Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:21:24.7654464Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:21:24.7654795Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:21:24.7655077Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:21:24.7655335Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:21:24.7655601Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:21:24.7655902Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:24.7656277Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:21:24.7656625Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:21:24.7656979Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:21:24.7657284Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:21:24.7657591Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:21:24.7657916Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:21:24.7658184Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:21:24.7658514Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:21:24.7658793Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:21:24.7659112Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:21:24.7659415Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:21:24.7659724Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:21:24.7660001Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:21:24.7660328Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:21:24.7660698Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:21:24.7660983Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:21:24.7661371Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:21:24.7661681Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:21:24.7661987Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:21:24.7662349Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:21:24.7662645Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:21:24.7662921Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:21:24.7663276Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:21:24.7663710Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:21:24.7664056Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:21:24.7664310Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:21:24.7664589Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:21:24.7664908Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:21:24.7665219Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:21:24.7665558Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:21:24.7665931Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:21:24.7666211Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:21:24.7666554Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:21:24.7666877Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:21:24.7667299Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:21:24.7667653Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:21:24.7668000Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:21:24.7668340Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:21:24.7668669Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:21:24.7669045Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:21:24.7669294Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:21:24.8074373Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:21:24.8074684Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:21:24.8074926Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:21:24.8075216Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:21:24.8075466Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:21:24.8075696Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:21:24.8075968Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:21:24.8076195Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:21:24.8076424Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:21:24.8076662Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:21:24.8076969Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:21:24.8077217Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:21:24.8077438Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:21:24.8077670Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:21:24.8077903Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:21:24.8078138Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:21:24.8078401Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:21:24.8078628Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:21:24.8078852Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:21:24.8079081Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:21:24.8079306Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:21:24.8079576Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:21:24.8079834Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:21:24.8080087Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:21:24.8080320Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:21:24.8080572Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:21:24.8080841Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:21:24.8081516Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:21:24.8081772Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:21:24.8082025Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:21:24.8082264Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:21:24.8082520Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:21:24.8082758Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:21:24.8082984Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:21:24.8083219Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:21:24.8083456Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-03-21T20:21:24.8083697Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-03-21T20:21:24.8083945Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-03-21T20:21:24.8084263Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-03-21T20:21:24.8084727Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-03-21T20:21:24.8085077Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-03-21T20:21:24.8085322Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-03-21T20:21:24.8085574Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:21:24.8085826Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:21:24.8086065Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-03-21T20:21:24.8086333Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-03-21T20:21:24.8086644Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:21:24.8086973Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:21:24.8087285Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:21:24.8087490Z   adding 'executorch/backends/arm/test/common.py'
2025-03-21T20:21:24.8087718Z   adding 'executorch/backends/arm/test/conftest.py'
2025-03-21T20:21:24.8087958Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-03-21T20:21:24.8088178Z   adding 'executorch/backends/arm/test/test_model.py'
2025-03-21T20:21:24.8088503Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-03-21T20:21:24.8088783Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-03-21T20:21:24.8089103Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-03-21T20:21:24.8089398Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-03-21T20:21:24.8089717Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-03-21T20:21:24.8090049Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-03-21T20:21:24.8090629Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:21:24.8091073Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-03-21T20:21:24.8091371Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-03-21T20:21:24.8091663Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-03-21T20:21:24.8091932Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-03-21T20:21:24.8092197Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-03-21T20:21:24.8092472Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-03-21T20:21:24.8092803Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-03-21T20:21:24.8093113Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-03-21T20:21:24.8093409Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-03-21T20:21:24.8093732Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-03-21T20:21:24.8094002Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-03-21T20:21:24.8094371Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-03-21T20:21:24.8094603Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-03-21T20:21:24.8094844Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:21:24.8095078Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:21:24.8095311Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:21:24.8095578Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-03-21T20:21:24.8095844Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-03-21T20:21:24.8096102Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:21:24.8096328Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:21:24.8096557Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-03-21T20:21:24.8096793Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-03-21T20:21:24.8097043Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-03-21T20:21:24.8097349Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-03-21T20:21:24.8097715Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:21:24.8097983Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:21:24.8098257Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:21:24.8098556Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-03-21T20:21:24.8098781Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-03-21T20:21:24.8099009Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:21:24.8099233Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:21:24.8099481Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:21:24.8099728Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:21:24.8099961Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:21:24.8100191Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:21:24.8100428Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:21:24.8100715Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:21:24.8100975Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:21:24.8101232Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:21:24.8101501Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:21:24.8101724Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:21:24.8101974Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:21:24.8102198Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:21:24.8102457Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:21:24.8102728Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:21:24.8102950Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:21:24.8103219Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:21:24.8103476Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:21:24.8103737Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:21:24.8104216Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:21:24.8104444Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:21:24.8104674Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:21:24.8104929Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:21:24.8105207Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:21:24.8105441Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:21:24.8105702Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:21:24.8105956Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:21:24.8106199Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:21:24.8106725Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:21:24.8106981Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:21:24.8107240Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:21:24.8107525Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:21:24.8107817Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:21:24.8108056Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-03-21T20:21:24.8108305Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-03-21T20:21:24.8108554Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-03-21T20:21:24.8108806Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-03-21T20:21:24.8109038Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
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2025-03-21T20:21:24.8109515Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
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2025-03-21T20:21:24.8111017Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-03-21T20:21:24.8111344Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
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2025-03-21T20:21:24.8552635Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
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2025-03-21T20:21:24.8553662Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
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2025-03-21T20:21:24.8555355Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-03-21T20:21:24.8555828Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-03-21T20:21:24.8556295Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-03-21T20:21:24.8556770Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-03-21T20:21:24.8557746Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-03-21T20:21:24.8558311Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-03-21T20:21:24.8558813Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-03-21T20:21:24.8559394Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-03-21T20:21:24.8560124Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-03-21T20:21:24.8560678Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-03-21T20:21:24.8561310Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-03-21T20:21:24.8561855Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-03-21T20:21:24.8562391Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-03-21T20:21:24.8563258Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-03-21T20:21:24.8563851Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-03-21T20:21:24.8564410Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-03-21T20:21:24.8564986Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:21:24.8565539Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:21:24.8566021Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-03-21T20:21:24.8566467Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-03-21T20:21:24.8566933Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-03-21T20:21:24.8567412Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-03-21T20:21:24.8567880Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-03-21T20:21:24.8568520Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-03-21T20:21:24.8569047Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-03-21T20:21:24.8569561Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-03-21T20:21:24.8570224Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-03-21T20:21:24.8570846Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-03-21T20:21:24.8571514Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-03-21T20:21:24.8572158Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-03-21T20:21:24.8572996Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-03-21T20:21:24.8573670Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-03-21T20:21:24.8574181Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-03-21T20:21:24.8574753Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2025-03-21T20:21:24.8575295Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2025-03-21T20:21:24.8575920Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2025-03-21T20:21:24.8576299Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-03-21T20:21:24.8576608Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-03-21T20:21:24.8577287Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-03-21T20:21:24.8577554Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-03-21T20:21:24.8577879Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-03-21T20:21:24.8578134Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-03-21T20:21:24.8578565Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:21:24.8578985Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-03-21T20:21:24.8579277Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-03-21T20:21:24.8579550Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-03-21T20:21:24.8579986Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-03-21T20:21:24.8580341Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-03-21T20:21:24.8580764Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-03-21T20:21:24.8581075Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
2025-03-21T20:21:24.8581606Z   adding 'executorch/backends/cadence/aot/passes.py'
2025-03-21T20:21:24.8581921Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-03-21T20:21:24.8582296Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-03-21T20:21:24.8582627Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-03-21T20:21:24.8582992Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-03-21T20:21:24.8583303Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-03-21T20:21:24.8583642Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-03-21T20:21:24.8584063Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-03-21T20:21:24.8584476Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-03-21T20:21:24.8585010Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-03-21T20:21:24.8585307Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
2025-03-21T20:21:24.8585749Z   adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py'
2025-03-21T20:21:24.8586248Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
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2025-03-21T20:21:24.8587035Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
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2025-03-21T20:21:24.8589064Z   adding 'executorch/backends/cadence/runtime/__init__.py'
2025-03-21T20:21:24.8589331Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-03-21T20:21:24.8589588Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-03-21T20:21:24.8589920Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-03-21T20:21:24.8590226Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-03-21T20:21:24.8590551Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-03-21T20:21:24.8590953Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2025-03-21T20:21:24.8591224Z   adding 'executorch/backends/cadence/utils/FACTO/setup.py'
2025-03-21T20:21:24.8591582Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py'
2025-03-21T20:21:24.8591910Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-03-21T20:21:24.8592262Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-03-21T20:21:24.8592654Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-03-21T20:21:24.8593064Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
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2025-03-21T20:21:24.8594340Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-03-21T20:21:24.8594904Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-03-21T20:21:24.8595390Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
2025-03-21T20:21:24.8595875Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py'
2025-03-21T20:21:24.8920391Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py'
2025-03-21T20:21:24.8920894Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py'
2025-03-21T20:21:24.8921291Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-03-21T20:21:24.8921701Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-03-21T20:21:24.8922528Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-03-21T20:21:24.8922988Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-03-21T20:21:24.8923539Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-03-21T20:21:24.8923962Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-03-21T20:21:24.8924376Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-03-21T20:21:24.8924759Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-03-21T20:21:24.8925170Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-03-21T20:21:24.8925614Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-03-21T20:21:24.8926040Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-03-21T20:21:24.8926485Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-03-21T20:21:24.8926876Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-03-21T20:21:24.8927292Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-03-21T20:21:24.8927697Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-03-21T20:21:24.8928102Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-03-21T20:21:24.8928507Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-03-21T20:21:24.8928830Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-03-21T20:21:24.8929179Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-03-21T20:21:24.8929518Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-03-21T20:21:24.8929886Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-03-21T20:21:24.8930330Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
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2025-03-21T20:21:24.8932787Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py'
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2025-03-21T20:21:24.8935187Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py'
2025-03-21T20:21:24.8935652Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py'
2025-03-21T20:21:24.8936100Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py'
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2025-03-21T20:21:24.8936965Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py'
2025-03-21T20:21:24.8937213Z   adding 'executorch/backends/example/example_backend.py'
2025-03-21T20:21:24.8937484Z   adding 'executorch/backends/example/example_partitioner.py'
2025-03-21T20:21:24.8937751Z   adding 'executorch/backends/example/example_quantizer.py'
2025-03-21T20:21:24.8938130Z   adding 'executorch/backends/example/test_example_delegate.py'
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2025-03-21T20:21:24.8939108Z   adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py'
2025-03-21T20:21:24.8939493Z   adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py'
2025-03-21T20:21:24.8939772Z   adding 'executorch/backends/example/example_operators/add.py'
2025-03-21T20:21:24.8940070Z   adding 'executorch/backends/example/example_operators/conv2d.py'
2025-03-21T20:21:24.8940392Z   adding 'executorch/backends/example/example_operators/conv_relu.py'
2025-03-21T20:21:24.8940696Z   adding 'executorch/backends/example/example_operators/dropout.py'
2025-03-21T20:21:24.8941004Z   adding 'executorch/backends/example/example_operators/flatten.py'
2025-03-21T20:21:24.8941312Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-03-21T20:21:24.8941627Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-03-21T20:21:24.8941904Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-03-21T20:21:24.8942195Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:21:24.8942410Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:21:24.8942643Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-03-21T20:21:24.8942872Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-03-21T20:21:24.8943120Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:21:24.8943552Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-03-21T20:21:24.8943813Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-03-21T20:21:24.8944085Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:21:24.8944361Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:21:24.8944638Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:21:24.8944891Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:21:24.8945139Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:21:24.8945470Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:21:24.8945797Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:21:24.8946084Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:21:24.8946401Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:21:24.8946724Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:21:24.8947143Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:21:24.8947500Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
2025-03-21T20:21:24.8947946Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-03-21T20:21:24.8948246Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-03-21T20:21:24.8948626Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-03-21T20:21:24.8948916Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-03-21T20:21:24.8949291Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-03-21T20:21:24.8949547Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
2025-03-21T20:21:24.8949915Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py'
2025-03-21T20:21:24.8950198Z   adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py'
2025-03-21T20:21:24.8950505Z   adding 'executorch/backends/qualcomm/_passes/insert_requantize.py'
2025-03-21T20:21:24.8950810Z   adding 'executorch/backends/qualcomm/_passes/layout_transform.py'
2025-03-21T20:21:24.8951192Z   adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py'
2025-03-21T20:21:24.8951634Z   adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py'
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2025-03-21T20:21:24.8952284Z   adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py'
2025-03-21T20:21:24.8952611Z   adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py'
2025-03-21T20:21:24.8952921Z   adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py'
2025-03-21T20:21:24.8953270Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
2025-03-21T20:21:24.8953581Z   adding 'executorch/backends/qualcomm/_passes/replace_inf_buffer.py'
2025-03-21T20:21:24.8953883Z   adding 'executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py'
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2025-03-21T20:21:24.8954353Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2025-03-21T20:21:24.8954627Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2025-03-21T20:21:24.8954909Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-03-21T20:21:24.8955162Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-03-21T20:21:24.8955510Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
2025-03-21T20:21:24.8955756Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2025-03-21T20:21:24.8956027Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-03-21T20:21:24.8956286Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-03-21T20:21:24.8956583Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-03-21T20:21:24.8956870Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-03-21T20:21:24.8957122Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-03-21T20:21:24.8957368Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:21:24.8957632Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-03-21T20:21:24.8957902Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-03-21T20:21:24.8958162Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-03-21T20:21:24.8958416Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-03-21T20:21:24.8958729Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-03-21T20:21:24.8959030Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-03-21T20:21:24.8959276Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:21:24.9388428Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:21:24.9388976Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:21:24.9389452Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:21:24.9390009Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:21:24.9391157Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:21:24.9391660Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:21:24.9392004Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:21:24.9392498Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:21:24.9392879Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:21:24.9393400Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:21:24.9393763Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:21:24.9394195Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:21:24.9394600Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:21:24.9395034Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:21:24.9395356Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:21:24.9395834Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:21:24.9396822Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:21:24.9397129Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:21:24.9397444Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:21:24.9397996Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:21:24.9398377Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:21:24.9398782Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:21:24.9399237Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:21:24.9399637Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:21:24.9399987Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:21:24.9400459Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:21:24.9400872Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:21:24.9401139Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:21:24.9401588Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:21:24.9401946Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:21:24.9402382Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:21:24.9402784Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:21:24.9403173Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:21:24.9403723Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:21:24.9404368Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:21:24.9404835Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:21:24.9405201Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:21:24.9405638Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:21:24.9405946Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:21:24.9406273Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:21:24.9406831Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:21:24.9407282Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:21:24.9407553Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:21:24.9407969Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:21:24.9408429Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:21:24.9408904Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:21:24.9409442Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:21:24.9409950Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:21:24.9411229Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:21:24.9411825Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:21:24.9412434Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:21:24.9412947Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:21:24.9413215Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:21:24.9413619Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:21:24.9414155Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:21:24.9414697Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:21:24.9415124Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:21:24.9415604Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:21:24.9416141Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:21:24.9416571Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:21:24.9417486Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:21:24.9417950Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:21:24.9418274Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:21:24.9418711Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:21:24.9419127Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:21:24.9419625Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:21:24.9420024Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:21:24.9420502Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:21:24.9420968Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:21:24.9421334Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:21:24.9422103Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:21:24.9422802Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:21:24.9423282Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:21:24.9423869Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:21:24.9424367Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:21:24.9424807Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:21:24.9425038Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:21:24.9425452Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:21:24.9425843Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:21:24.9426262Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:21:24.9426774Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:21:24.9427376Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:21:24.9427914Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:21:24.9428357Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:24.9428844Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:24.9429252Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:21:24.9429708Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:21:24.9430017Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:21:24.9430438Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:21:24.9430833Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:21:24.9431223Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:21:24.9431708Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:21:24.9432670Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:21:24.9433263Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:21:24.9434024Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:21:24.9434621Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:24.9435140Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:21:24.9435434Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:21:24.9435808Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:21:24.9436179Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:21:24.9436555Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:21:24.9436995Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:21:24.9437335Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:21:24.9437906Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:21:24.9438884Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:21:24.9439301Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:21:24.9439813Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:21:24.9440257Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:21:24.9440685Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:21:24.9441169Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:21:24.9441699Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:21:24.9442163Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:21:24.9442610Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:21:24.9443149Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:21:24.9443856Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:21:24.9444579Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:21:24.9445009Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:21:24.9445393Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:21:24.9445939Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:21:24.9446486Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:21:24.9447391Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:21:24.9447965Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:21:24.9448581Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:21:24.9449262Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:21:24.9781378Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:21:24.9782319Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:21:24.9783167Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:21:24.9784107Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:21:24.9785157Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:21:24.9786238Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:21:24.9787290Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:21:24.9788241Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:21:24.9789512Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:21:24.9790606Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:21:24.9791698Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:21:24.9792642Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:21:24.9793591Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:21:24.9794542Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:21:24.9795381Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:21:24.9796177Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:21:24.9797011Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:21:24.9808217Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:21:24.9809487Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:21:24.9810557Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:21:24.9811545Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:21:24.9812459Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:21:24.9813390Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:21:24.9814470Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:21:24.9815515Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:21:24.9816436Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:21:24.9817301Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:21:24.9818172Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:21:24.9819099Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:21:24.9820005Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:21:24.9820866Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:21:24.9821750Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:21:24.9822705Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:21:24.9823632Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:21:24.9824509Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:21:24.9825467Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:21:24.9826452Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:21:24.9827514Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:21:24.9828557Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:21:24.9829509Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:21:24.9830477Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:21:24.9831444Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:21:24.9832399Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:21:24.9833348Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:21:24.9834284Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:21:24.9835508Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:21:24.9836476Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:21:24.9837390Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:21:24.9838232Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:21:24.9839147Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:21:24.9840035Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:21:24.9840773Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:21:24.9841555Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:21:24.9842413Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:21:24.9843290Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:21:24.9844235Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:21:24.9844986Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:21:24.9845763Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:21:24.9846535Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:21:24.9847221Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:21:24.9847992Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:21:24.9848907Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:21:24.9849789Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:21:24.9850720Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:21:24.9851614Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:21:24.9852538Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:21:24.9853453Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-03-21T20:21:24.9854307Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-03-21T20:21:24.9855236Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-03-21T20:21:24.9856279Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:21:24.9857298Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:21:24.9858309Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-03-21T20:21:24.9859287Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-03-21T20:21:24.9860228Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-03-21T20:21:24.9861222Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-03-21T20:21:24.9862285Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:21:24.9863490Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:21:24.9864541Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:21:24.9865349Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:21:24.9866253Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:21:24.9867113Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:21:24.9867949Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:21:24.9868868Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:21:24.9869946Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:21:24.9870643Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:21:24.9871260Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:21:24.9871912Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:21:24.9872690Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:21:24.9873563Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:24.9874342Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:21:24.9875079Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:21:24.9875889Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:21:24.9876684Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:21:24.9877423Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:21:24.9878418Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:24.9879249Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:21:24.9880012Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:21:24.9880785Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:21:24.9881532Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:21:24.9882207Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:21:24.9882899Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:21:24.9883584Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:21:24.9884230Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:21:24.9884877Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:21:24.9885596Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:21:25.0214588Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:21:25.0215380Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:21:25.0216059Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:21:25.0216752Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:21:25.0217431Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:21:25.0218091Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:21:25.0218860Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:21:25.0219747Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:21:25.0220507Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:21:25.0221169Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-03-21T20:21:25.0221874Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-03-21T20:21:25.0222613Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:21:25.0223339Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:21:25.0224054Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:21:25.0224842Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-03-21T20:21:25.0225632Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-03-21T20:21:25.0226342Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-03-21T20:21:25.0227063Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-03-21T20:21:25.0227760Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-03-21T20:21:25.0228461Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-03-21T20:21:25.0229164Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-03-21T20:21:25.0230302Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-03-21T20:21:25.0230997Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-03-21T20:21:25.0231693Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-03-21T20:21:25.0232416Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:21:25.0233138Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:21:25.0233802Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:21:25.0234473Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:21:25.0235158Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-03-21T20:21:25.0235864Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-03-21T20:21:25.0236588Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:21:25.0237304Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:21:25.0237995Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:21:25.0238940Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-03-21T20:21:25.0239696Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-03-21T20:21:25.0240467Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-03-21T20:21:25.0241355Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-03-21T20:21:25.0242146Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-03-21T20:21:25.0242808Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:21:25.0243524Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:21:25.0244224Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:21:25.0244964Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:21:25.0245757Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:21:25.0246552Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:21:25.0247409Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:21:25.0248279Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:21:25.0249136Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:21:25.0250014Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:21:25.0251082Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:21:25.0251840Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:21:25.0252584Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-03-21T20:21:25.0253409Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-03-21T20:21:25.0254247Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:21:25.0255029Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:21:25.0255828Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-03-21T20:21:25.0256732Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-03-21T20:21:25.0257562Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-03-21T20:21:25.0258341Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-03-21T20:21:25.0259116Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-03-21T20:21:25.0259805Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-03-21T20:21:25.0260500Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:21:25.0261249Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:21:25.0262001Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-03-21T20:21:25.0262773Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-03-21T20:21:25.0263801Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-03-21T20:21:25.0264537Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-03-21T20:21:25.0265288Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:21:25.0265987Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:21:25.0266708Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:21:25.0267484Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:21:25.0268188Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:21:25.0268833Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:21:25.0269476Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:21:25.0270185Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:21:25.0270927Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:21:25.0271779Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:21:25.0272454Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:21:25.0273118Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:21:25.0273867Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:21:25.0274631Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
2025-03-21T20:21:25.0275318Z   adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py'
2025-03-21T20:21:25.0276015Z   adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py'
2025-03-21T20:21:25.0276684Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-03-21T20:21:25.0277333Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:21:25.0277997Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:21:25.0278707Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:21:25.0279441Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
2025-03-21T20:21:25.0280198Z   adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py'
2025-03-21T20:21:25.0280916Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
2025-03-21T20:21:25.0281593Z   adding 'executorch/backends/xnnpack/test/ops/test_lstm.py'
2025-03-21T20:21:25.0282264Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-03-21T20:21:25.0282967Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-03-21T20:21:25.0283705Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
2025-03-21T20:21:25.0284428Z   adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py'
2025-03-21T20:21:25.0285134Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:21:25.0285837Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:21:25.0286548Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:21:25.0287258Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:21:25.0287957Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
2025-03-21T20:21:25.0288638Z   adding 'executorch/backends/xnnpack/test/ops/test_prelu.py'
2025-03-21T20:21:25.0289404Z   adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py'
2025-03-21T20:21:25.0290174Z   adding 'executorch/backends/xnnpack/test/ops/test_relu.py'
2025-03-21T20:21:25.0290998Z   adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py'
2025-03-21T20:21:25.0291687Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
2025-03-21T20:21:25.0292384Z   adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py'
2025-03-21T20:21:25.0293143Z   adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py'
2025-03-21T20:21:25.0293869Z   adding 'executorch/backends/xnnpack/test/ops/test_softmax.py'
2025-03-21T20:21:25.0294562Z   adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py'
2025-03-21T20:21:25.0295460Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-03-21T20:21:25.0296228Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
2025-03-21T20:21:25.0296984Z   adding 'executorch/backends/xnnpack/test/ops/test_sub.py'
2025-03-21T20:21:25.0297750Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2025-03-21T20:21:25.0298616Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
2025-03-21T20:21:25.0299565Z   adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py'
2025-03-21T20:21:25.0300513Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
2025-03-21T20:21:25.0301394Z   adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py'
2025-03-21T20:21:25.0302292Z   adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py'
2025-03-21T20:21:25.0303215Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2025-03-21T20:21:25.0304652Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-03-21T20:21:25.0305592Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:21:25.0306501Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:21:25.0307432Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:21:25.0550716Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:21:25.0551581Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:21:25.0552331Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:21:25.0553153Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:21:25.0554030Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:21:25.0554790Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:21:25.0555686Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2025-03-21T20:21:25.0556586Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2025-03-21T20:21:25.0557456Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2025-03-21T20:21:25.0558332Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:21:25.0559167Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-03-21T20:21:25.0559951Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-03-21T20:21:25.0560808Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:21:25.0561806Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:21:25.0562892Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:21:25.0563970Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:21:25.0564955Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:21:25.0565946Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-03-21T20:21:25.0566933Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2025-03-21T20:21:25.0567960Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
2025-03-21T20:21:25.0569032Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml'
2025-03-21T20:21:25.0570062Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml'
2025-03-21T20:21:25.0571485Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml'
2025-03-21T20:21:25.0572476Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml'
2025-03-21T20:21:25.0574484Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2025-03-21T20:21:25.0575467Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2025-03-21T20:21:25.0576440Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
2025-03-21T20:21:25.0577486Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml'
2025-03-21T20:21:25.0578468Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:21:25.0579350Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
2025-03-21T20:21:25.0580247Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml'
2025-03-21T20:21:25.0581341Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml'
2025-03-21T20:21:25.0582274Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml'
2025-03-21T20:21:25.0583638Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml'
2025-03-21T20:21:25.0584657Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
2025-03-21T20:21:25.0585606Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml'
2025-03-21T20:21:25.0586560Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml'
2025-03-21T20:21:25.0587543Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml'
2025-03-21T20:21:25.0588544Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml'
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2025-03-21T20:21:25.0590500Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml'
2025-03-21T20:21:25.0591419Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml'
2025-03-21T20:21:25.0592373Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml'
2025-03-21T20:21:25.0593377Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml'
2025-03-21T20:21:25.0594353Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml'
2025-03-21T20:21:25.0595324Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
2025-03-21T20:21:25.0596289Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml'
2025-03-21T20:21:25.0597223Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml'
2025-03-21T20:21:25.0598156Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml'
2025-03-21T20:21:25.0599162Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml'
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2025-03-21T20:21:25.0601221Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml'
2025-03-21T20:21:25.0602195Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml'
2025-03-21T20:21:25.0603170Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml'
2025-03-21T20:21:25.0604446Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml'
2025-03-21T20:21:25.0605488Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml'
2025-03-21T20:21:25.0606489Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml'
2025-03-21T20:21:25.0607386Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
2025-03-21T20:21:25.0608280Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml'
2025-03-21T20:21:25.0609192Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml'
2025-03-21T20:21:25.0610383Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml'
2025-03-21T20:21:25.0611421Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml'
2025-03-21T20:21:25.0612433Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml'
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2025-03-21T20:21:25.0615556Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml'
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2025-03-21T20:21:25.0628874Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml'
2025-03-21T20:21:25.0629853Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml'
2025-03-21T20:21:25.0630812Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml'
2025-03-21T20:21:25.0631859Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml'
2025-03-21T20:21:25.0632917Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml'
2025-03-21T20:21:25.0633983Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml'
2025-03-21T20:21:25.0634966Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
2025-03-21T20:21:25.0635862Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml'
2025-03-21T20:21:25.0636775Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-03-21T20:21:25.0637735Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:21:25.0638674Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-03-21T20:21:25.0639576Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-03-21T20:21:25.0640440Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-03-21T20:21:25.0641418Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-03-21T20:21:25.0642502Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-03-21T20:21:25.0643597Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-03-21T20:21:25.0644752Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-03-21T20:21:25.0645919Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-03-21T20:21:25.0647312Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-03-21T20:21:25.3856769Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-03-21T20:21:25.3857991Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
2025-03-21T20:21:25.3859097Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py'
2025-03-21T20:21:25.3860178Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py'
2025-03-21T20:21:25.3861214Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-03-21T20:21:25.3862294Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-03-21T20:21:25.3863425Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-03-21T20:21:25.3865019Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-03-21T20:21:25.3866215Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-03-21T20:21:25.3867266Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-03-21T20:21:25.3868292Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-03-21T20:21:25.3869312Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-03-21T20:21:25.3870335Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-03-21T20:21:25.3871398Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
2025-03-21T20:21:25.3872528Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py'
2025-03-21T20:21:25.3873692Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py'
2025-03-21T20:21:25.3874791Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-03-21T20:21:25.3875741Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-03-21T20:21:25.3876685Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
2025-03-21T20:21:25.3877626Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py'
2025-03-21T20:21:25.3878489Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-03-21T20:21:25.3879353Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
2025-03-21T20:21:25.3880160Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml'
2025-03-21T20:21:25.3881026Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py'
2025-03-21T20:21:25.3881955Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml'
2025-03-21T20:21:25.3882950Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-03-21T20:21:25.3884036Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-03-21T20:21:25.3885129Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
2025-03-21T20:21:25.3886097Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
2025-03-21T20:21:25.3886954Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml'
2025-03-21T20:21:25.3887688Z   adding 'executorch/backends/xnnpack/utils/configs.py'
2025-03-21T20:21:25.3888331Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
2025-03-21T20:21:25.3888950Z   adding 'executorch/backends/xnnpack/utils/utils.py'
2025-03-21T20:21:25.3889610Z   adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py'
2025-03-21T20:21:25.3890230Z   adding 'executorch/codegen/__init__.py'
2025-03-21T20:21:25.3891235Z   adding 'executorch/codegen/tools/__init__.py'
2025-03-21T20:21:25.3891810Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
2025-03-21T20:21:25.3892374Z   adding 'executorch/codegen/tools/gen_oplist.py'
2025-03-21T20:21:25.3892932Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-03-21T20:21:25.3893563Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-03-21T20:21:25.3894194Z   adding 'executorch/codegen/tools/merge_yaml.py'
2025-03-21T20:21:25.3894744Z   adding 'executorch/codegen/tools/yaml_util.py'
2025-03-21T20:21:25.3895355Z   adding 'executorch/codegen/tools/test/test_gen_all_oplist.py'
2025-03-21T20:21:25.3896029Z   adding 'executorch/codegen/tools/test/test_gen_oplist.py'
2025-03-21T20:21:25.3896753Z   adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py'
2025-03-21T20:21:25.3897560Z   adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py'
2025-03-21T20:21:25.3898233Z   adding 'executorch/data/bin/__init__.py'
2025-03-21T20:21:25.3898741Z   adding 'executorch/data/bin/flatc'
2025-03-21T20:21:25.3899361Z   adding 'executorch/devtools/__init__.py'
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2025-03-21T20:21:25.3902272Z   adding 'executorch/devtools/bundled_program/config.py'
2025-03-21T20:21:25.3902882Z   adding 'executorch/devtools/bundled_program/core.py'
2025-03-21T20:21:25.3903516Z   adding 'executorch/devtools/bundled_program/version.py'
2025-03-21T20:21:25.3904466Z   adding 'executorch/devtools/bundled_program/schema/__init__.py'
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2025-03-21T20:21:25.3906461Z   adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.py'
2025-03-21T20:21:25.3907344Z   adding 'executorch/devtools/bundled_program/schema/scalar_type.fbs'
2025-03-21T20:21:25.3908242Z   adding 'executorch/devtools/bundled_program/schema/test/test_schema.py'
2025-03-21T20:21:25.3909098Z   adding 'executorch/devtools/bundled_program/serialize/__init__.py'
2025-03-21T20:21:25.3910168Z   adding 'executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs'
2025-03-21T20:21:25.3911126Z   adding 'executorch/devtools/bundled_program/serialize/scalar_type.fbs'
2025-03-21T20:21:25.3912113Z   adding 'executorch/devtools/bundled_program/serialize/test/test_serialize.py'
2025-03-21T20:21:25.3913030Z   adding 'executorch/devtools/bundled_program/test/test_bundle_data.py'
2025-03-21T20:21:25.3913991Z   adding 'executorch/devtools/bundled_program/test/test_config.py'
2025-03-21T20:21:25.3914749Z   adding 'executorch/devtools/bundled_program/test/test_end2end.py'
2025-03-21T20:21:25.3915529Z   adding 'executorch/devtools/bundled_program/util/test_util.py'
2025-03-21T20:21:25.3916374Z   adding 'executorch/devtools/debug_format/base_schema.py'
2025-03-21T20:21:25.3917087Z   adding 'executorch/devtools/debug_format/et_schema.py'
2025-03-21T20:21:25.3917795Z   adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs'
2025-03-21T20:21:25.3918487Z   adding 'executorch/devtools/etdump/scalar_type.fbs'
2025-03-21T20:21:25.3919200Z   adding 'executorch/devtools/etdump/schema_flatcc.py'
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2025-03-21T20:21:25.3920409Z   adding 'executorch/devtools/etdump/tests/serialize_test.py'
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2025-03-21T20:21:25.3921797Z   adding 'executorch/devtools/etrecord/_etrecord.py'
2025-03-21T20:21:25.3922477Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
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2025-03-21T20:21:25.3923773Z   adding 'executorch/devtools/inspector/_inspector.py'
2025-03-21T20:21:25.3924410Z   adding 'executorch/devtools/inspector/_inspector_utils.py'
2025-03-21T20:21:25.3925449Z   adding 'executorch/devtools/inspector/inspector_cli.py'
2025-03-21T20:21:25.3926152Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
2025-03-21T20:21:25.3927018Z   adding 'executorch/devtools/inspector/tests/inspector_test.py'
2025-03-21T20:21:25.3927782Z   adding 'executorch/devtools/inspector/tests/inspector_utils_test.py'
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2025-03-21T20:21:25.3931184Z   adding 'executorch/devtools/visualization/visualization_utils.py'
2025-03-21T20:21:25.3932060Z   adding 'executorch/devtools/visualization/visualization_utils_test.py'
2025-03-21T20:21:25.3932903Z   adding 'executorch/examples/apple/coreml/llama/export.py'
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2025-03-21T20:21:25.3934651Z   adding 'executorch/examples/apple/coreml/llama/run.py'
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2025-03-21T20:21:25.3936026Z   adding 'executorch/examples/apple/coreml/llama/utils.py'
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2025-03-21T20:21:25.3939071Z   adding 'executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml'
2025-03-21T20:21:25.3939912Z   adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml'
2025-03-21T20:21:25.3940680Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
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2025-03-21T20:21:25.3942276Z   adding 'executorch/examples/llm_pte_finetuning/training_lib.py'
2025-03-21T20:21:25.3943000Z   adding 'executorch/examples/models/__init__.py'
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2025-03-21T20:21:25.3945004Z   adding 'executorch/examples/models/model_factory.py'
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2025-03-21T20:21:25.3946282Z   adding 'executorch/examples/models/deeplab_v3/model.py'
2025-03-21T20:21:25.3946906Z   adding 'executorch/examples/models/edsr/__init__.py'
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2025-03-21T20:21:25.3948273Z   adding 'executorch/examples/models/efficient_sam/__init__.py'
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2025-03-21T20:21:25.3949827Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py'
2025-03-21T20:21:25.3950887Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py'
2025-03-21T20:21:25.3952095Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py'
2025-03-21T20:21:25.3953407Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py'
2025-03-21T20:21:25.3954402Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py'
2025-03-21T20:21:25.4328468Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
2025-03-21T20:21:25.4329509Z   adding 'executorch/examples/models/emformer_rnnt/__init__.py'
2025-03-21T20:21:25.4330199Z   adding 'executorch/examples/models/emformer_rnnt/model.py'
2025-03-21T20:21:25.4330968Z   adding 'executorch/examples/models/inception_v3/__init__.py'
2025-03-21T20:21:25.4331646Z   adding 'executorch/examples/models/inception_v3/model.py'
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2025-03-21T20:21:25.4333559Z   adding 'executorch/examples/models/inception_v4/model.py'
2025-03-21T20:21:25.4334204Z   adding 'executorch/examples/models/llama/__init__.py'
2025-03-21T20:21:25.4334820Z   adding 'executorch/examples/models/llama/attention.py'
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2025-03-21T20:21:25.4338095Z   adding 'executorch/examples/models/llama/fairseq2.py'
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2025-03-21T20:21:25.4341752Z   adding 'executorch/examples/models/llama/model_args.py'
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2025-03-21T20:21:25.4342919Z   adding 'executorch/examples/models/llama/rope.py'
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2025-03-21T20:21:25.4354911Z   adding 'executorch/examples/models/llama/source_transformation/lora.py'
2025-03-21T20:21:25.4355828Z   adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py'
2025-03-21T20:21:25.4356795Z   adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py'
2025-03-21T20:21:25.4357719Z   adding 'executorch/examples/models/llama/source_transformation/quantize.py'
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2025-03-21T20:21:25.4378730Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py'
2025-03-21T20:21:25.4379174Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py'
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2025-03-21T20:21:25.4380337Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py'
2025-03-21T20:21:25.4380810Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-03-21T20:21:25.4381041Z   adding 'executorch/examples/models/llava/__init__.py'
2025-03-21T20:21:25.4381305Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-03-21T20:21:25.4381554Z   adding 'executorch/examples/models/llava/image_util.py'
2025-03-21T20:21:25.4381779Z   adding 'executorch/examples/models/llava/model.py'
2025-03-21T20:21:25.4382048Z   adding 'executorch/examples/models/llava/test/test_llava.py'
2025-03-21T20:21:25.4382308Z   adding 'executorch/examples/models/llava/test/test_pte.py'
2025-03-21T20:21:25.4382544Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-03-21T20:21:25.4382757Z   adding 'executorch/examples/models/lstm/model.py'
2025-03-21T20:21:25.4383020Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-03-21T20:21:25.4383278Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-03-21T20:21:25.4383552Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2025-03-21T20:21:25.4383803Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2025-03-21T20:21:25.4384077Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:21:25.4384335Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:21:25.4384595Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-03-21T20:21:25.4384863Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-03-21T20:21:25.4385109Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-03-21T20:21:25.4385424Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
2025-03-21T20:21:25.4385708Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
2025-03-21T20:21:25.4385988Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-03-21T20:21:25.4386459Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-03-21T20:21:25.4386730Z   adding 'executorch/examples/models/phi-4-mini/__init__.py'
2025-03-21T20:21:25.4387048Z   adding 'executorch/examples/models/phi-4-mini/convert_weights.py'
2025-03-21T20:21:25.4387289Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-03-21T20:21:25.4387570Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-03-21T20:21:25.4387817Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-03-21T20:21:25.4388037Z   adding 'executorch/examples/models/resnet/model.py'
2025-03-21T20:21:25.4388270Z   adding 'executorch/examples/models/test/__init__.py'
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2025-03-21T20:21:25.4388812Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2025-03-21T20:21:25.4389084Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2025-03-21T20:21:25.4389343Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-03-21T20:21:25.4389700Z   adding 'executorch/examples/models/toy_model/model.py'
2025-03-21T20:21:25.4389968Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:21:25.4390219Z   adding 'executorch/examples/models/wav2letter/model.py'
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2025-03-21T20:21:25.4391266Z   adding 'executorch/exir/delegate.pyi'
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2025-03-21T20:21:25.4391809Z   adding 'executorch/exir/error.py'
2025-03-21T20:21:25.4391981Z   adding 'executorch/exir/graph.py'
2025-03-21T20:21:25.4392171Z   adding 'executorch/exir/graph_module.py'
2025-03-21T20:21:25.4392399Z   adding 'executorch/exir/lowered_backend_module.py'
2025-03-21T20:21:25.4392566Z   adding 'executorch/exir/memory.py'
2025-03-21T20:21:25.4392766Z   adding 'executorch/exir/memory_planning.py'
2025-03-21T20:21:25.4392939Z   adding 'executorch/exir/pass_base.py'
2025-03-21T20:21:25.4393119Z   adding 'executorch/exir/pass_manager.py'
2025-03-21T20:21:25.4393313Z   adding 'executorch/exir/print_program.py'
2025-03-21T20:21:25.4393489Z   adding 'executorch/exir/scalar_type.py'
2025-03-21T20:21:25.4393661Z   adding 'executorch/exir/schema.py'
2025-03-21T20:21:25.4393828Z   adding 'executorch/exir/sym_util.py'
2025-03-21T20:21:25.4393990Z   adding 'executorch/exir/tensor.py'
2025-03-21T20:21:25.4394159Z   adding 'executorch/exir/tracer.py'
2025-03-21T20:21:25.4394323Z   adding 'executorch/exir/types.py'
2025-03-21T20:21:25.4394499Z   adding 'executorch/exir/version.py'
2025-03-21T20:21:25.4394659Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:21:25.4394876Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:21:25.4395075Z   adding 'executorch/exir/_serialize/_cord.py'
2025-03-21T20:21:25.5047124Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-03-21T20:21:25.5047864Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:21:25.5048496Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:21:25.5049110Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:21:25.5049684Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:21:25.5050299Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:21:25.5051105Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:21:25.5051670Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:21:25.5052250Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:21:25.5052841Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:21:25.5053443Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:21:25.5054591Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:21:25.5055311Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:21:25.5056015Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:21:25.5056629Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:21:25.5057203Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:21:25.5057812Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:21:25.5058442Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:21:25.5059033Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:21:25.5059580Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:21:25.5060299Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:21:25.5061290Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:21:25.5062539Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:21:25.5063556Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:21:25.5064434Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:21:25.5065270Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:21:25.5066111Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:21:25.5066857Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:21:25.5067543Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:21:25.5068214Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:21:25.5068965Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:21:25.5069718Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:21:25.5070388Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:21:25.5071092Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:21:25.5071787Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:21:25.5072486Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:21:25.5073229Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:21:25.5073964Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:21:25.5074875Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:21:25.5075602Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:21:25.5076232Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:21:25.5076822Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:21:25.5077518Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:21:25.5078334Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:21:25.5079195Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:21:25.5080132Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:21:25.5080939Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:21:25.5081544Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:21:25.5082080Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:21:25.5082608Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:21:25.5083128Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:21:25.5083656Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:21:25.5084178Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:21:25.5084715Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:21:25.5085381Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:21:25.5086248Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:21:25.5086807Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:21:25.5087377Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:21:25.5087956Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:21:25.5088557Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:21:25.5089194Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:21:25.5089836Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:21:25.5090516Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:21:25.5091150Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:21:25.5091829Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:21:25.5092448Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:21:25.5093043Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:21:25.5093700Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:21:25.5094551Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:21:25.5095288Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:21:25.5095912Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:21:25.5096429Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:21:25.5096964Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:21:25.5097492Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:21:25.5098043Z   adding 'executorch/exir/operator/convert.py'
2025-03-21T20:21:25.5098576Z   adding 'executorch/exir/operator/manip.py'
2025-03-21T20:21:25.5099082Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:21:25.5099650Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-03-21T20:21:25.5100240Z   adding 'executorch/exir/passes/__init__.py'
2025-03-21T20:21:25.5100900Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-03-21T20:21:25.5101615Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:21:25.5102223Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:21:25.5102906Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:21:25.5103598Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:21:25.5104660Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:21:25.5105372Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:21:25.5106073Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:21:25.5106703Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:21:25.5107405Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:21:25.5108138Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:21:25.5108786Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:21:25.5109461Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:21:25.5110176Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:21:25.5110838Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:21:25.5111462Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:21:25.5112109Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:21:25.5112702Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:21:25.5113342Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:21:25.5114041Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:21:25.5114691Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:21:25.5115339Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:21:25.5116142Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:21:25.5116960Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:21:25.5118018Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:21:25.5118745Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:21:25.5119455Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:21:25.5120058Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-03-21T20:21:25.5120658Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-03-21T20:21:25.5121272Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:21:25.5121901Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:21:25.5122503Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:21:25.5123052Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:21:25.5123610Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:21:25.5124157Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:21:25.5124765Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:21:25.5125613Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:21:25.5126196Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:21:25.5126735Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:21:25.5127278Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:21:25.5127789Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:21:25.5128323Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:21:25.5128834Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:21:25.5129337Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:21:25.5129854Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:21:25.5130362Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:21:25.5131039Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:21:25.5131658Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:21:25.5132223Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:21:25.5132789Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:21:25.5133358Z   adding 'executorch/exir/tests/test_capture.py'
2025-03-21T20:21:25.5133902Z   adding 'executorch/exir/tests/test_common.py'
2025-03-21T20:21:25.5134448Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:21:25.5135039Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:21:25.5135727Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:21:25.5136373Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:21:25.5136921Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:21:25.5137562Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:21:25.5138293Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:21:25.5139068Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:21:25.5139774Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:21:25.5140388Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:21:25.9555523Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-03-21T20:21:25.9556165Z   adding 'executorch/exir/tests/test_passes.py'
2025-03-21T20:21:25.9556804Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:21:25.9557472Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:21:25.9558161Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:21:25.9558776Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:21:25.9559382Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:21:25.9560014Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:21:25.9560595Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:21:25.9561122Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:21:25.9561647Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:21:25.9562663Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:21:25.9563255Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:21:25.9563805Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:21:25.9564384Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:21:25.9564969Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:21:25.9565563Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:21:25.9566158Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:21:25.9566783Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:21:25.9567437Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:21:25.9568181Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:21:25.9568783Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:21:25.9569376Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:21:25.9570081Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:21:25.9571342Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:21:25.9572248Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:21:25.9573476Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:21:25.9588874Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:21:25.9589882Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:21:25.9590581Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:21:25.9591197Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:21:25.9591794Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:21:25.9592498Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:21:25.9593227Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:21:25.9593921Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:21:25.9594667Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:21:25.9595431Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:21:25.9596201Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:21:25.9597007Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:21:25.9597920Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:21:25.9598769Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:21:25.9599560Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:21:25.9600419Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:21:25.9601393Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:21:25.9602347Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:21:25.9603119Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:21:25.9603713Z   adding 'executorch/extension/llm/export/builder.py'
2025-03-21T20:21:25.9604720Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-03-21T20:21:25.9605393Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:21:25.9606064Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
2025-03-21T20:21:25.9606752Z   adding 'executorch/extension/llm/export/test_export_passes.py'
2025-03-21T20:21:25.9607424Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-03-21T20:21:25.9608107Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
2025-03-21T20:21:25.9608803Z   adding 'executorch/extension/llm/modules/attention.py'
2025-03-21T20:21:25.9609424Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:21:25.9610049Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:21:25.9611264Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:21:25.9611999Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:21:25.9612799Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:21:25.9613555Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:21:25.9614204Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:21:25.9614860Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:21:25.9615479Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:21:25.9616159Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:21:25.9616848Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:21:25.9617584Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:21:25.9618497Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:21:25.9619645Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:21:25.9620555Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:21:25.9621531Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:21:25.9622589Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:25.9623516Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:25.9624432Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-aarch64-linux-gnu.so'
2025-03-21T20:21:25.9625291Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-03-21T20:21:25.9625938Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:21:25.9626590Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-03-21T20:21:25.9627355Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
2025-03-21T20:21:25.9628155Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:21:25.9628805Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:21:25.9629365Z   adding 'executorch/extension/pytree/test/test.py'
2025-03-21T20:21:25.9629937Z   adding 'executorch/extension/training/__init__.py'
2025-03-21T20:21:25.9630615Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:21:25.9631354Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:21:25.9632110Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:21:25.9632927Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:21:25.9633722Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:21:25.9634480Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:21:25.9635409Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:21:25.9636449Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:21:25.9637334Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:21:25.9638143Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:21:25.9638954Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:21:25.9639782Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:21:25.9640610Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:21:25.9641487Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:21:25.9642356Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:21:25.9643255Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:21:25.9644270Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:21:25.9645019Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:21:25.9645737Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:21:25.9646429Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:21:25.9647102Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:21:25.9647822Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:21:25.9648622Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:21:25.9649520Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:21:25.9650404Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-03-21T20:21:25.9651357Z   adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h'
2025-03-21T20:21:25.9652363Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:21:25.9653183Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:21:25.9653918Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:21:25.9654587Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:21:25.9655250Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:21:25.9655958Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:21:25.9656790Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-03-21T20:21:25.9657659Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-03-21T20:21:25.9658624Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-03-21T20:21:25.9659684Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-03-21T20:21:25.9660713Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-03-21T20:21:25.9661692Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-03-21T20:21:25.9662733Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-03-21T20:21:25.9663819Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-03-21T20:21:30.9147454Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-03-21T20:21:30.9148538Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-03-21T20:21:30.9149484Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-03-21T20:21:30.9150442Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-03-21T20:21:30.9151364Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-03-21T20:21:30.9152314Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:21:30.9153190Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:21:30.9154070Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:21:30.9154988Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-03-21T20:21:30.9155904Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-03-21T20:21:30.9156821Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-03-21T20:21:30.9157768Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-03-21T20:21:30.9158689Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-03-21T20:21:30.9159609Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-03-21T20:21:30.9160568Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:21:30.9162077Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:21:30.9163139Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:21:30.9164223Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:21:30.9165342Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-03-21T20:21:30.9166436Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-03-21T20:21:30.9167482Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:21:30.9168511Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:21:30.9169602Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-03-21T20:21:30.9171177Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-03-21T20:21:30.9172333Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:21:30.9173459Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:21:30.9174392Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-03-21T20:21:30.9175280Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-03-21T20:21:30.9176179Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-03-21T20:21:30.9177099Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-03-21T20:21:30.9177993Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-03-21T20:21:30.9178774Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-03-21T20:21:30.9179530Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-03-21T20:21:30.9180275Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-03-21T20:21:30.9181056Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-03-21T20:21:30.9181869Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-03-21T20:21:30.9182606Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-03-21T20:21:30.9183342Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-03-21T20:21:30.9184115Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-03-21T20:21:30.9184885Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-03-21T20:21:30.9185644Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-03-21T20:21:30.9186382Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-03-21T20:21:30.9187199Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-03-21T20:21:30.9187950Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:21:30.9188623Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-03-21T20:21:30.9189303Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-03-21T20:21:30.9190016Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:21:30.9190797Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-03-21T20:21:30.9191599Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-03-21T20:21:30.9192281Z   adding 'executorch/runtime/__init__.py'
2025-03-21T20:21:30.9192840Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-03-21T20:21:30.9193432Z   adding 'executorch/runtime/test/test_runtime.py'
2025-03-21T20:21:30.9193966Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:21:30.9194468Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:21:30.9195272Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-03-21T20:21:30.9195918Z   adding 'executorch/util/activation_memory_profiler.py'
2025-03-21T20:21:30.9196482Z   adding 'executorch/util/collect_env.py'
2025-03-21T20:21:30.9196989Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:21:30.9197560Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:21:30.9198170Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
2025-03-21T20:21:30.9198784Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL'
2025-03-21T20:21:30.9199458Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt'
2025-03-21T20:21:30.9200166Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt'
2025-03-21T20:21:30.9200815Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:21:30.9201379Z   removing pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:30.9202320Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:21:30.9204215Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl size=7062144 sha256=c2005bc2d7b49a9f4eb61836f64a740e7e329a3eac44a0e7bbe30911ec5a7553
2025-03-21T20:21:30.9206066Z   Stored in directory: /tmp/pip-ephem-wheel-cache-ceb8889m/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-03-21T20:21:30.9207039Z Successfully built executorch
2025-03-21T20:21:30.9207907Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:21:30.9208921Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:21:30.9209499Z   Attempting uninstall: pytest
2025-03-21T20:21:30.9209957Z     Found existing installation: pytest 7.2.0
2025-03-21T20:21:30.9210550Z     Uninstalling pytest-7.2.0:
2025-03-21T20:21:30.9211118Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-03-21T20:21:30.9211824Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-03-21T20:21:30.9212816Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-03-21T20:21:30.9213922Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-03-21T20:21:30.9214895Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-03-21T20:21:30.9215944Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-03-21T20:21:30.9217001Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-03-21T20:21:30.9217749Z       Successfully uninstalled pytest-7.2.0
2025-03-21T20:21:30.9218327Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-03-21T20:21:30.9218978Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-03-21T20:21:30.9219626Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:21:30.9220854Z 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
2025-03-21T20:21:30.9221946Z + pip list
2025-03-21T20:21:30.9222381Z Package                       Version            Editable project location
2025-03-21T20:21:30.9223058Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:21:30.9223626Z alabaster                     0.7.16
2025-03-21T20:21:30.9224057Z attrs                         25.3.0
2025-03-21T20:21:30.9224484Z babel                         2.17.0
2025-03-21T20:21:30.9224915Z beautifulsoup4                4.13.3
2025-03-21T20:21:30.9225352Z breathe                       4.34.0
2025-03-21T20:21:30.9225761Z bs4                           0.0.2
2025-03-21T20:21:30.9226187Z certifi                       2025.1.31
2025-03-21T20:21:30.9226640Z charset-normalizer            3.4.1
2025-03-21T20:21:30.9227070Z cmake                         3.31.6
2025-03-21T20:21:30.9228457Z contourpy                     1.3.1
2025-03-21T20:21:30.9228896Z coverage                      7.7.0
2025-03-21T20:21:30.9229332Z cycler                        0.12.1
2025-03-21T20:21:30.9229757Z docutils                      0.16
2025-03-21T20:21:30.9230198Z exceptiongroup                1.2.2
2025-03-21T20:21:30.9230629Z execnet                       2.1.1
2025-03-21T20:21:30.9231179Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:21:30.9231703Z exhale                        0.2.3
2025-03-21T20:21:30.9232151Z expecttest                    0.1.6
2025-03-21T20:21:30.9232581Z filelock                      3.18.0
2025-03-21T20:21:30.9233018Z flatbuffers                   25.2.10
2025-03-21T20:21:30.9233456Z fonttools                     4.56.0
2025-03-21T20:21:30.9233889Z fsspec                        2025.3.0
2025-03-21T20:21:30.9234330Z huggingface-hub               0.29.3
2025-03-21T20:21:30.9234773Z hypothesis                    6.84.2
2025-03-21T20:21:30.9235209Z idna                          3.10
2025-03-21T20:21:30.9235625Z imagesize                     1.4.1
2025-03-21T20:21:30.9236224Z iniconfig                     2.1.0
2025-03-21T20:21:30.9236671Z Jinja2                        3.1.6
2025-03-21T20:21:30.9237094Z kiwisolver                    1.4.8
2025-03-21T20:21:30.9237514Z lxml                          5.3.1
2025-03-21T20:21:30.9237928Z markdown-it-py                2.2.0
2025-03-21T20:21:30.9238358Z MarkupSafe                    3.0.2
2025-03-21T20:21:30.9238778Z matplotlib                    3.10.1
2025-03-21T20:21:30.9239213Z mdit-py-plugins               0.3.5
2025-03-21T20:21:30.9239644Z mdurl                         0.1.2
2025-03-21T20:21:30.9240049Z mpmath                        1.3.0
2025-03-21T20:21:30.9240477Z myst-parser                   0.18.1
2025-03-21T20:21:30.9240903Z networkx                      3.4.2
2025-03-21T20:21:30.9241316Z numpy                         2.2.4
2025-03-21T20:21:30.9241725Z packaging                     24.2
2025-03-21T20:21:30.9242157Z pandas                        2.2.3
2025-03-21T20:21:30.9242594Z parameterized                 0.9.0
2025-03-21T20:21:30.9243016Z pillow                        11.1.0
2025-03-21T20:21:30.9243441Z pip                           25.0
2025-03-21T20:21:36.1338732Z pluggy                        1.5.0
2025-03-21T20:21:36.1339337Z Pygments                      2.19.1
2025-03-21T20:21:36.1339777Z pyparsing                     3.2.1
2025-03-21T20:21:36.1340200Z pytest                        8.3.5
2025-03-21T20:21:36.1340627Z pytest-cov                    4.1.0
2025-03-21T20:21:36.1341067Z pytest-rerunfailures          15.0
2025-03-21T20:21:36.1341508Z pytest-xdist                  3.6.1
2025-03-21T20:21:36.1341954Z python-dateutil               2.9.0.post0
2025-03-21T20:21:36.1342579Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:21:36.1343212Z pytz                          2025.1
2025-03-21T20:21:36.1343634Z PyYAML                        6.0.1
2025-03-21T20:21:36.1344092Z regex                         2024.11.6
2025-03-21T20:21:36.1344546Z requests                      2.32.3
2025-03-21T20:21:36.1345170Z ruamel.yaml                   0.17.32
2025-03-21T20:21:36.1345616Z ruamel.yaml.clib              0.2.12
2025-03-21T20:21:36.1346054Z safetensors                   0.5.3
2025-03-21T20:21:36.1346480Z setuptools                    75.8.0
2025-03-21T20:21:36.1346902Z six                           1.17.0
2025-03-21T20:21:36.1347318Z snowballstemmer               2.2.0
2025-03-21T20:21:36.1347759Z sortedcontainers              2.4.0
2025-03-21T20:21:36.1348189Z soupsieve                     2.6
2025-03-21T20:21:36.1348603Z Sphinx                        5.3.0
2025-03-21T20:21:36.1349031Z sphinx-copybutton             0.5.0
2025-03-21T20:21:36.1349460Z sphinx_design                 0.4.1
2025-03-21T20:21:36.1349891Z sphinx-gallery                0.14.0
2025-03-21T20:21:36.1350348Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:21:36.1350812Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:21:36.1351673Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:21:36.1352135Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:21:36.1352595Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:21:36.1353064Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:21:36.1353511Z sympy                         1.13.3
2025-03-21T20:21:36.1353927Z tabulate                      0.9.0
2025-03-21T20:21:36.1354334Z timm                          1.0.7
2025-03-21T20:21:36.1354757Z tokenizers                    0.21.1
2025-03-21T20:21:36.1355181Z tomli                         2.0.1
2025-03-21T20:21:36.1355624Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:21:36.1356121Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:21:36.1356612Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:21:36.1357076Z torchsr                       1.0.4
2025-03-21T20:21:36.1357526Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:21:36.1357982Z tqdm                          4.67.1
2025-03-21T20:21:36.1358411Z transformers                  4.47.1
2025-03-21T20:21:36.1359066Z typing_extensions             4.12.2
2025-03-21T20:21:36.1359536Z tzdata                        2025.1
2025-03-21T20:21:36.1359958Z urllib3                       2.3.0
2025-03-21T20:21:36.1360376Z wheel                         0.45.1
2025-03-21T20:21:36.1360794Z zstd                          1.5.5.1
2025-03-21T20:21:36.1361230Z + build_executorch_runner cmake Release
2025-03-21T20:21:36.1361682Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:21:36.1362067Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:21:36.1362478Z + build_executorch_runner_cmake Release
2025-03-21T20:21:36.1362939Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:36.1363357Z + clean_executorch_install_folders
2025-03-21T20:21:36.1363815Z + ./install_executorch.sh --clean
2025-03-21T20:21:36.1364253Z Cleaning build artifacts...
2025-03-21T20:21:36.1364658Z Cleaning pip-out/...
2025-03-21T20:21:36.1365044Z Done cleaning build artifacts.
2025-03-21T20:21:36.1365450Z + mkdir cmake-out
2025-03-21T20:21:36.1365794Z + pushd cmake-out
2025-03-21T20:21:36.1366222Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:21:36.1366735Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:21:36.1367121Z + CXXFLAGS=
2025-03-21T20:21:36.1367439Z + CXXFLAGS=
2025-03-21T20:21:36.1367934Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:36.1368687Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:36.1369318Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:21:36.1369856Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:36.1370364Z -- Detecting C compiler ABI info
2025-03-21T20:21:36.1371400Z -- Detecting C compiler ABI info - done
2025-03-21T20:21:36.1371967Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:21:36.1372521Z -- Detecting C compile features
2025-03-21T20:21:36.1372956Z -- Detecting C compile features - done
2025-03-21T20:21:36.1373432Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:36.1373901Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:21:36.1374474Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:21:36.1375041Z -- Detecting CXX compile features
2025-03-21T20:21:36.1375493Z -- Detecting CXX compile features - done
2025-03-21T20:21:36.1376708Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:36.1377755Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:36.1378363Z   CMake.
2025-03-21T20:21:36.1378536Z 
2025-03-21T20:21:36.1378875Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:36.1379852Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:36.1380551Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:36.1381119Z 
2025-03-21T20:21:36.1381339Z 
2025-03-21T20:21:36.1382475Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:36.1383640Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:36.1384250Z   CMake.
2025-03-21T20:21:36.1384422Z 
2025-03-21T20:21:36.1384752Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:36.1385545Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:36.1386242Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:36.1386612Z 
2025-03-21T20:21:36.1386803Z 
2025-03-21T20:21:36.1387147Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:21:36.1387705Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:21:36.1388217Z -- Found Threads: TRUE
2025-03-21T20:21:36.1389179Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:36.1390272Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:36.1391043Z   CMake.
2025-03-21T20:21:36.1391233Z 
2025-03-21T20:21:36.1391568Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:36.1392376Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:36.1393069Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:36.1393602Z 
2025-03-21T20:21:36.1393924Z 
2025-03-21T20:21:36.1394260Z -- Using python executable 'python'
2025-03-21T20:21:36.1395232Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:21:36.1396200Z -- Killing buck2 daemon
2025-03-21T20:21:36.1397067Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:21:36.1398011Z -- executorch: Generating source lists
2025-03-21T20:21:36.1398781Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:36.1399767Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:36.1400483Z -- executorch: Using PAL default 'posix'
2025-03-21T20:21:36.1400965Z -- Generating operator lib:
2025-03-21T20:21:36.1401380Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:36.1401965Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:36.1402573Z --   ROOT_OPS: 
2025-03-21T20:21:36.1402912Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:21:36.1404909Z 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"
2025-03-21T20:21:36.1406527Z -- Generating kernel bindings:
2025-03-21T20:21:36.1407033Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:36.1407637Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:36.1408266Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:21:36.1408662Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:21:36.1411102Z 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
2025-03-21T20:21:36.1413445Z -- Generating operator lib:
2025-03-21T20:21:36.1413850Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:36.1414271Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:21:36.1414844Z --   DEPS: executorch
2025-03-21T20:21:36.1415649Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:21:36.1416688Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:36.1417290Z   CMake.
2025-03-21T20:21:36.1417895Z 
2025-03-21T20:21:36.1418229Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:36.1419032Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:36.1419728Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:36.1420092Z 
2025-03-21T20:21:36.1420289Z 
2025-03-21T20:21:36.1420599Z -- Looking for C++ include unistd.h
2025-03-21T20:21:36.1421061Z -- Looking for C++ include unistd.h - found
2025-03-21T20:21:36.1421537Z -- Looking for C++ include stdint.h
2025-03-21T20:21:36.1421998Z -- Looking for C++ include stdint.h - found
2025-03-21T20:21:36.1422479Z -- Looking for C++ include inttypes.h
2025-03-21T20:21:36.1422958Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:21:36.1423452Z -- Looking for C++ include sys/types.h
2025-03-21T20:21:36.1423936Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:21:36.1424425Z -- Looking for C++ include sys/stat.h
2025-03-21T20:21:36.1424912Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:21:36.1425668Z -- Looking for C++ include fnmatch.h
2025-03-21T20:21:36.1426164Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:21:36.1426642Z -- Looking for C++ include stddef.h
2025-03-21T20:21:36.1427101Z -- Looking for C++ include stddef.h - found
2025-03-21T20:21:36.1427566Z -- Check size of uint32_t
2025-03-21T20:21:36.1427955Z -- Check size of uint32_t - done
2025-03-21T20:21:36.1428366Z -- Looking for strtoll
2025-03-21T20:21:36.1428748Z -- Looking for strtoll - found
2025-03-21T20:21:36.1429131Z -- 
2025-03-21T20:21:36.1429430Z -- ******** Summary ********
2025-03-21T20:21:36.1429846Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:21:36.1430321Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:21:36.1430781Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:21:36.1431242Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:21:36.1432149Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:21:36.1433091Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:21:36.1433791Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:21:36.1434523Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:21:36.1435062Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:21:36.1435597Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:21:36.1436116Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:21:36.1436644Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:21:36.1437165Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:21:36.1437682Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:21:36.1438201Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:21:36.1438706Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:21:36.1439225Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:21:36.1439769Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:21:36.1440308Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:21:36.1440824Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:21:36.1441329Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:21:36.1441859Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:21:37.2237790Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:21:37.2238506Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:21:37.2239053Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:21:37.2239570Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:21:37.2240091Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:21:37.2240625Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:21:37.2241156Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:21:37.2241702Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:21:37.2242673Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:21:37.2243211Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:21:37.2243732Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:21:37.2244247Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:21:37.2244767Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:21:37.2245281Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:21:37.2245808Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:21:37.2246332Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:21:37.2246845Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:21:37.2247382Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:21:37.2247877Z -- Configuring done (4.7s)
2025-03-21T20:21:37.2248302Z -- Generating done (0.1s)
2025-03-21T20:21:37.2248841Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:21:37.2249419Z + popd
2025-03-21T20:21:37.2249751Z /pytorch/executorch
2025-03-21T20:21:37.2250336Z ++ uname
2025-03-21T20:21:37.2250815Z + '[' Linux == Darwin ']'
2025-03-21T20:21:37.2251197Z ++ nproc
2025-03-21T20:21:37.2251518Z + CMAKE_JOBS=7
2025-03-21T20:21:37.2251892Z + cmake --build cmake-out -j 7
2025-03-21T20:21:37.2252696Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:21:37.2253807Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o
2025-03-21T20:21:37.2255301Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-03-21T20:21:37.2256834Z [  2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
2025-03-21T20:21:37.2258250Z [  2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
2025-03-21T20:21:37.2259607Z [  2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:21:37.2261032Z [  2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o
2025-03-21T20:21:37.2262074Z [  3%] No download step for 'flatbuffers'
2025-03-21T20:21:37.2262740Z [  3%] No update step for 'flatbuffers'
2025-03-21T20:21:37.2263398Z [  3%] No patch step for 'flatbuffers'
2025-03-21T20:21:37.2264114Z [  3%] Performing configure step for 'flatbuffers'
2025-03-21T20:21:37.2264717Z CMake Warning:
2025-03-21T20:21:37.2265184Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:21:37.2265590Z 
2025-03-21T20:21:37.2265774Z 
2025-03-21T20:21:37.2266234Z fatal: No names found, cannot describe anything.
2025-03-21T20:21:37.2266909Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:21:37.2267458Z   git describe failed with exit code: 128
2025-03-21T20:21:37.2267794Z 
2025-03-21T20:21:37.2268052Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:21:37.2268614Z Call Stack (most recent call first):
2025-03-21T20:21:37.2269077Z   CMakeLists.txt:5 (include)
2025-03-21T20:21:37.2269335Z 
2025-03-21T20:21:37.2269520Z 
2025-03-21T20:21:37.2269850Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:21:37.2270921Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
2025-03-21T20:21:37.2272332Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o
2025-03-21T20:21:37.2273746Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o
2025-03-21T20:21:37.2274675Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:37.2275740Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o
2025-03-21T20:21:37.2277483Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o
2025-03-21T20:21:37.2278363Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:37.2279357Z [  4%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o
2025-03-21T20:21:37.2280471Z [  4%] Linking CXX static library libgflags_nothreads.a
2025-03-21T20:21:37.2281534Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
2025-03-21T20:21:37.2282959Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/arm/uarch.c.o
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2025-03-21T20:21:55.5141021Z + [[ '' == *main* ]]
2025-03-21T20:21:55.5141360Z + [[ '' == *gh* ]]
2025-03-21T20:21:55.5141730Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:55.5142287Z + bash .ci/scripts/test_model.sh emformer_transcribe cmake portable
2025-03-21T20:21:55.5142900Z ++ dirname .ci/scripts/test_model.sh
2025-03-21T20:21:55.5143350Z + source .ci/scripts/utils.sh
2025-03-21T20:21:55.5143770Z + MODEL_NAME=emformer_transcribe
2025-03-21T20:21:55.5144225Z + [[ -z emformer_transcribe ]]
2025-03-21T20:21:55.5144632Z + BUILD_TOOL=cmake
2025-03-21T20:21:55.5144982Z + [[ -z cmake ]]
2025-03-21T20:21:55.5145322Z + BACKEND=portable
2025-03-21T20:21:55.5145677Z + [[ -z portable ]]
2025-03-21T20:21:55.5146018Z + UPLOAD_DIR=
2025-03-21T20:21:55.5146350Z + [[ -z python ]]
2025-03-21T20:21:55.5146692Z + which python
2025-03-21T20:21:55.5147049Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:21:55.5147496Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:55.5147931Z + EXPORTED_MODEL=emformer_transcribe
2025-03-21T20:21:55.5148392Z + [[ portable == \p\o\r\t\a\b\l\e ]]
2025-03-21T20:21:55.5148947Z + echo 'Testing emformer_transcribe with portable kernels...'
2025-03-21T20:21:55.5149585Z Testing emformer_transcribe with portable kernels...
2025-03-21T20:21:55.5150096Z + test_model
2025-03-21T20:21:55.5150454Z + [[ emformer_transcribe == \l\l\a\m\a\2 ]]
2025-03-21T20:21:55.5150908Z + STRICT=--strict
2025-03-21T20:22:21.0940786Z + [[ emformer_transcribe == \l\l\a\v\a ]]
2025-03-21T20:22:21.0942591Z + [[ emformer_transcribe == \l\l\a\m\a\3\_\2\_\v\i\s\i\o\n\_\e\n\c\o\d\e\r ]]
2025-03-21T20:22:21.0943347Z + [[ emformer_transcribe == \l\l\a\m\a\3\_\2\_\t\e\x\t\_\d\e\c\o\d\e\r ]]
2025-03-21T20:22:21.0944087Z + [[ emformer_transcribe == \q\w\e\n\2\_\5 ]]
2025-03-21T20:22:21.0944613Z + [[ emformer_transcribe == \p\h\i\-\4\-\m\i\n\i ]]
2025-03-21T20:22:21.0945388Z + python -m examples.portable.scripts.export --model_name=emformer_transcribe --strict
2025-03-21T20:22:21.0946261Z [INFO 2025-03-21 20:22:02,959 model.py:49] Loading emformer rnnt transcriber
2025-03-21T20:22:21.0947631Z [INFO 2025-03-21 20:22:03,814 download.py:74] Downloading models/emformer_rnnt_base_librispeech.pt to /var/lib/ci-user/.cache/torch/hub/torchaudio/models/emformer_rnnt_base_librispeech.pt
2025-03-21T20:22:21.0948693Z 
2025-03-21T20:22:21.0948841Z   0% 0.00/293M [00:00<?, ?B/s]
2025-03-21T20:22:21.0949240Z  18% 51.6M/293M [00:00<00:00, 541MB/s]
2025-03-21T20:22:21.0949660Z  35% 104M/293M [00:00<00:00, 544MB/s] 
2025-03-21T20:22:21.0950101Z  54% 158M/293M [00:00<00:00, 554MB/s]
2025-03-21T20:22:21.0950769Z  72% 211M/293M [00:00<00:00, 544MB/s]
2025-03-21T20:22:21.0951219Z  90% 262M/293M [00:00<00:00, 527MB/s]
2025-03-21T20:22:21.0951638Z 100% 293M/293M [00:00<00:00, 533MB/s]
2025-03-21T20:22:21.0952203Z [INFO 2025-03-21 20:22:04,662 model.py:51] Loaded emformer rnnt transcriber
2025-03-21T20:22:21.0954183Z /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.)
2025-03-21T20:22:21.0956086Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:21.0957935Z /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.)
2025-03-21T20:22:21.0959793Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:21.0961789Z /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.)
2025-03-21T20:22:21.0963738Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:21.0965576Z /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.)
2025-03-21T20:22:21.0967518Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:21.0968077Z [INFO 2025-03-21 20:22:21,092 utils.py:50] Core ATen graph:
2025-03-21T20:22:21.0968597Z graph():
2025-03-21T20:22:21.0969338Z     %p_rnnt_transcriber_input_linear_weight : [num_users=1] = placeholder[target=p_rnnt_transcriber_input_linear_weight]
2025-03-21T20:22:21.0971231Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_weight]
2025-03-21T20:22:21.0973575Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_bias]
2025-03-21T20:22:21.0975977Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_weight]
2025-03-21T20:22:21.0978668Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_bias]
2025-03-21T20:22:21.0981188Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.0983731Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.0986206Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_weight]
2025-03-21T20:22:21.0988718Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_bias]
2025-03-21T20:22:21.0991117Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___weight]
2025-03-21T20:22:21.0993649Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___bias]
2025-03-21T20:22:21.0996005Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___weight]
2025-03-21T20:22:21.0998374Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___bias]
2025-03-21T20:22:21.1000731Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___weight]
2025-03-21T20:22:21.1003082Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___bias]
2025-03-21T20:22:21.1005617Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_weight]
2025-03-21T20:22:21.1007993Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_bias]
2025-03-21T20:22:21.1010337Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_weight]
2025-03-21T20:22:21.1012795Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_bias]
2025-03-21T20:22:21.1015196Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_weight]
2025-03-21T20:22:21.1017961Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_bias]
2025-03-21T20:22:21.1020461Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1023004Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1025636Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_weight]
2025-03-21T20:22:21.1028047Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_bias]
2025-03-21T20:22:21.1030431Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___weight]
2025-03-21T20:22:21.1032790Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___bias]
2025-03-21T20:22:21.1035171Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___weight]
2025-03-21T20:22:21.1037524Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___bias]
2025-03-21T20:22:21.1039883Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___weight]
2025-03-21T20:22:21.1042235Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___bias]
2025-03-21T20:22:21.1044600Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_weight]
2025-03-21T20:22:21.1046950Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_bias]
2025-03-21T20:22:21.1049292Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_weight]
2025-03-21T20:22:21.1051713Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_bias]
2025-03-21T20:22:21.1054306Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_weight]
2025-03-21T20:22:21.1056752Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_bias]
2025-03-21T20:22:21.1059243Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1061866Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1064347Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_weight]
2025-03-21T20:22:21.1066726Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_bias]
2025-03-21T20:22:21.1069093Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___weight]
2025-03-21T20:22:21.1071454Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___bias]
2025-03-21T20:22:21.1073817Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___weight]
2025-03-21T20:22:21.1076174Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___bias]
2025-03-21T20:22:21.1078534Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___weight]
2025-03-21T20:22:21.1080905Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___bias]
2025-03-21T20:22:21.1083268Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_weight]
2025-03-21T20:22:21.1085631Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_bias]
2025-03-21T20:22:21.1087973Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_weight]
2025-03-21T20:22:21.1090569Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_bias]
2025-03-21T20:22:21.1092980Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_weight]
2025-03-21T20:22:21.1095435Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_bias]
2025-03-21T20:22:21.1097935Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1100593Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1103068Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_weight]
2025-03-21T20:22:21.1106071Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_bias]
2025-03-21T20:22:21.1108467Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___weight]
2025-03-21T20:22:21.1110837Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___bias]
2025-03-21T20:22:21.1113194Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___weight]
2025-03-21T20:22:21.1115549Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___bias]
2025-03-21T20:22:21.1117916Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___weight]
2025-03-21T20:22:21.1120284Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___bias]
2025-03-21T20:22:21.1122642Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_weight]
2025-03-21T20:22:21.1124998Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_bias]
2025-03-21T20:22:21.1127357Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_weight]
2025-03-21T20:22:21.1130015Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_bias]
2025-03-21T20:22:21.1132478Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_weight]
2025-03-21T20:22:21.1134934Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_bias]
2025-03-21T20:22:21.1137604Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1140146Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1142597Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_weight]
2025-03-21T20:22:21.1144972Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_bias]
2025-03-21T20:22:21.1147352Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___weight]
2025-03-21T20:22:21.1149707Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___bias]
2025-03-21T20:22:21.1152061Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___weight]
2025-03-21T20:22:21.1154408Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___bias]
2025-03-21T20:22:21.1156777Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___weight]
2025-03-21T20:22:21.1159126Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___bias]
2025-03-21T20:22:21.1161477Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_weight]
2025-03-21T20:22:21.1163836Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_bias]
2025-03-21T20:22:21.1166310Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_weight]
2025-03-21T20:22:21.1168643Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_bias]
2025-03-21T20:22:21.1171115Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_weight]
2025-03-21T20:22:21.1173700Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_bias]
2025-03-21T20:22:21.1176209Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1178746Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1181209Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_weight]
2025-03-21T20:22:21.1183600Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_bias]
2025-03-21T20:22:21.1185985Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___weight]
2025-03-21T20:22:21.1188349Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___bias]
2025-03-21T20:22:21.1190711Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___weight]
2025-03-21T20:22:21.1193078Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___bias]
2025-03-21T20:22:21.1195441Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___weight]
2025-03-21T20:22:21.1197804Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___bias]
2025-03-21T20:22:21.1200168Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_weight]
2025-03-21T20:22:21.1202765Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_bias]
2025-03-21T20:22:21.1205385Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_weight]
2025-03-21T20:22:21.1207714Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_bias]
2025-03-21T20:22:21.1210102Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_weight]
2025-03-21T20:22:21.1212909Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_bias]
2025-03-21T20:22:21.1215433Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1217986Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1220470Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_weight]
2025-03-21T20:22:21.1222872Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_bias]
2025-03-21T20:22:21.1225256Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___weight]
2025-03-21T20:22:21.1227625Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___bias]
2025-03-21T20:22:21.1230002Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___weight]
2025-03-21T20:22:21.1232389Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___bias]
2025-03-21T20:22:21.1234767Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___weight]
2025-03-21T20:22:21.1237136Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___bias]
2025-03-21T20:22:21.1239687Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_weight]
2025-03-21T20:22:21.1242041Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_bias]
2025-03-21T20:22:21.1244378Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_weight]
2025-03-21T20:22:21.1246704Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_bias]
2025-03-21T20:22:21.1249181Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_weight]
2025-03-21T20:22:21.1251742Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_bias]
2025-03-21T20:22:21.1254248Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1256783Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1259273Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_weight]
2025-03-21T20:22:21.1261660Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_bias]
2025-03-21T20:22:21.1264039Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___weight]
2025-03-21T20:22:21.1266400Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___bias]
2025-03-21T20:22:21.1268766Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___weight]
2025-03-21T20:22:21.1271141Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___bias]
2025-03-21T20:22:21.1273504Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___weight]
2025-03-21T20:22:21.1275863Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___bias]
2025-03-21T20:22:21.1278385Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_weight]
2025-03-21T20:22:21.1280751Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_bias]
2025-03-21T20:22:21.1283104Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_weight]
2025-03-21T20:22:21.1285536Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_bias]
2025-03-21T20:22:21.1287947Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_weight]
2025-03-21T20:22:21.1290396Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_bias]
2025-03-21T20:22:21.1292972Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1295515Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1297970Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_weight]
2025-03-21T20:22:21.1300344Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_bias]
2025-03-21T20:22:21.1302708Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___weight]
2025-03-21T20:22:21.1305252Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___bias]
2025-03-21T20:22:21.1307607Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___weight]
2025-03-21T20:22:21.1309965Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___bias]
2025-03-21T20:22:21.1312311Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___weight]
2025-03-21T20:22:21.1314931Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___bias]
2025-03-21T20:22:21.1317282Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_weight]
2025-03-21T20:22:21.1319630Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_bias]
2025-03-21T20:22:21.1322330Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_weight]
2025-03-21T20:22:21.1324695Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_bias]
2025-03-21T20:22:21.1327081Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_weight]
2025-03-21T20:22:21.1329546Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_bias]
2025-03-21T20:22:21.1332129Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1334659Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1337105Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_weight]
2025-03-21T20:22:21.1339482Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_bias]
2025-03-21T20:22:21.1341849Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___weight]
2025-03-21T20:22:21.1344207Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___bias]
2025-03-21T20:22:21.1346556Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___weight]
2025-03-21T20:22:21.1348908Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___bias]
2025-03-21T20:22:21.1351418Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___weight]
2025-03-21T20:22:21.1353783Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___bias]
2025-03-21T20:22:21.1356142Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_weight]
2025-03-21T20:22:21.1358488Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_bias]
2025-03-21T20:22:21.1360954Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_weight]
2025-03-21T20:22:21.1363304Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_bias]
2025-03-21T20:22:21.1365715Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_weight]
2025-03-21T20:22:21.1368179Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_bias]
2025-03-21T20:22:21.1370769Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1373331Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1375813Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_weight]
2025-03-21T20:22:21.1378225Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_bias]
2025-03-21T20:22:21.1380628Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___weight]
2025-03-21T20:22:21.1383006Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___bias]
2025-03-21T20:22:21.1385383Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___weight]
2025-03-21T20:22:21.1387774Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___bias]
2025-03-21T20:22:21.1390284Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___weight]
2025-03-21T20:22:21.1392655Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___bias]
2025-03-21T20:22:21.1395032Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_weight]
2025-03-21T20:22:21.1397494Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_bias]
2025-03-21T20:22:21.1399860Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_weight]
2025-03-21T20:22:21.1402194Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_bias]
2025-03-21T20:22:21.1404813Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_weight]
2025-03-21T20:22:21.1407307Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_bias]
2025-03-21T20:22:21.1409933Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1412549Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1415030Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_weight]
2025-03-21T20:22:21.1417439Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_bias]
2025-03-21T20:22:21.1419825Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___weight]
2025-03-21T20:22:21.1422207Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___bias]
2025-03-21T20:22:21.1424586Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___weight]
2025-03-21T20:22:21.1427273Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___bias]
2025-03-21T20:22:21.1429636Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___weight]
2025-03-21T20:22:21.1432006Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___bias]
2025-03-21T20:22:21.1434525Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_weight]
2025-03-21T20:22:21.1436920Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_bias]
2025-03-21T20:22:21.1439275Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_weight]
2025-03-21T20:22:21.1441620Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_bias]
2025-03-21T20:22:21.1444034Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_weight]
2025-03-21T20:22:21.1446491Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_bias]
2025-03-21T20:22:21.1449437Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1452069Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1454554Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_weight]
2025-03-21T20:22:21.1456943Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_bias]
2025-03-21T20:22:21.1459325Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___weight]
2025-03-21T20:22:21.1461706Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___bias]
2025-03-21T20:22:21.1464259Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___weight]
2025-03-21T20:22:21.1466641Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___bias]
2025-03-21T20:22:21.1469009Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___weight]
2025-03-21T20:22:21.1471515Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___bias]
2025-03-21T20:22:21.1473926Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_weight]
2025-03-21T20:22:21.1476296Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_bias]
2025-03-21T20:22:21.1478655Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_weight]
2025-03-21T20:22:21.1481002Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_bias]
2025-03-21T20:22:21.1483415Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_weight]
2025-03-21T20:22:21.1485876Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_bias]
2025-03-21T20:22:21.1488380Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1491016Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1493516Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_weight]
2025-03-21T20:22:21.1495935Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_bias]
2025-03-21T20:22:21.1498341Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___weight]
2025-03-21T20:22:21.1500870Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___bias]
2025-03-21T20:22:21.1503255Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___weight]
2025-03-21T20:22:21.1505794Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___bias]
2025-03-21T20:22:21.1508387Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___weight]
2025-03-21T20:22:21.1510792Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___bias]
2025-03-21T20:22:21.1513170Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_weight]
2025-03-21T20:22:21.1515550Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_bias]
2025-03-21T20:22:21.1517912Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_weight]
2025-03-21T20:22:21.1520269Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_bias]
2025-03-21T20:22:21.1522673Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_weight]
2025-03-21T20:22:21.1525149Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_bias]
2025-03-21T20:22:21.1527657Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1530215Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1532780Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_weight]
2025-03-21T20:22:21.1535176Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_bias]
2025-03-21T20:22:21.1537790Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___weight]
2025-03-21T20:22:21.1540170Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___bias]
2025-03-21T20:22:21.1542560Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___weight]
2025-03-21T20:22:21.1544939Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___bias]
2025-03-21T20:22:21.1547425Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___weight]
2025-03-21T20:22:21.1549821Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___bias]
2025-03-21T20:22:21.1552192Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_weight]
2025-03-21T20:22:21.1554743Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_bias]
2025-03-21T20:22:21.1557117Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_weight]
2025-03-21T20:22:21.1559471Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_bias]
2025-03-21T20:22:21.1561896Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_weight]
2025-03-21T20:22:21.1564385Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_bias]
2025-03-21T20:22:21.1566901Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1569450Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1572007Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_weight]
2025-03-21T20:22:21.1574564Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_bias]
2025-03-21T20:22:21.1576952Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___weight]
2025-03-21T20:22:21.1579323Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___bias]
2025-03-21T20:22:21.1581696Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___weight]
2025-03-21T20:22:21.1584169Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___bias]
2025-03-21T20:22:21.1586556Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___weight]
2025-03-21T20:22:21.1588934Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___bias]
2025-03-21T20:22:21.1591307Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_weight]
2025-03-21T20:22:21.1593693Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_bias]
2025-03-21T20:22:21.1596057Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_weight]
2025-03-21T20:22:21.1598400Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_bias]
2025-03-21T20:22:21.1600811Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_weight]
2025-03-21T20:22:21.1603283Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_bias]
2025-03-21T20:22:21.1605966Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1608523Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1611073Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_weight]
2025-03-21T20:22:21.1613781Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_bias]
2025-03-21T20:22:21.1616170Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___weight]
2025-03-21T20:22:21.1618534Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___bias]
2025-03-21T20:22:21.1621055Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___weight]
2025-03-21T20:22:21.1623451Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___bias]
2025-03-21T20:22:21.1625824Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___weight]
2025-03-21T20:22:21.1628200Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___bias]
2025-03-21T20:22:21.1630590Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_weight]
2025-03-21T20:22:21.1632963Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_bias]
2025-03-21T20:22:21.1635322Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_weight]
2025-03-21T20:22:21.1637671Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_bias]
2025-03-21T20:22:21.1640091Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_weight]
2025-03-21T20:22:21.1642562Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_bias]
2025-03-21T20:22:21.1645064Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1647616Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1650225Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_weight]
2025-03-21T20:22:21.1652709Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_bias]
2025-03-21T20:22:21.1655093Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___weight]
2025-03-21T20:22:21.1657556Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___bias]
2025-03-21T20:22:21.1659958Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___weight]
2025-03-21T20:22:21.1662321Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___bias]
2025-03-21T20:22:21.1664688Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___weight]
2025-03-21T20:22:21.1667062Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___bias]
2025-03-21T20:22:21.1669434Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_weight]
2025-03-21T20:22:21.1671802Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_bias]
2025-03-21T20:22:21.1674153Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_weight]
2025-03-21T20:22:21.1676507Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_bias]
2025-03-21T20:22:21.1678911Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_weight]
2025-03-21T20:22:21.1681374Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_bias]
2025-03-21T20:22:21.1683872Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1686563Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1702734Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_weight]
2025-03-21T20:22:21.1705666Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_bias]
2025-03-21T20:22:21.1708467Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___weight]
2025-03-21T20:22:21.1710887Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___bias]
2025-03-21T20:22:21.1713282Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___weight]
2025-03-21T20:22:21.1715648Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___bias]
2025-03-21T20:22:21.1718024Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___weight]
2025-03-21T20:22:21.1720414Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___bias]
2025-03-21T20:22:21.1722799Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_weight]
2025-03-21T20:22:21.1725194Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_bias]
2025-03-21T20:22:21.1727555Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_weight]
2025-03-21T20:22:21.1729896Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_bias]
2025-03-21T20:22:21.1732412Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_weight]
2025-03-21T20:22:21.1734889Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_bias]
2025-03-21T20:22:21.1737674Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_weight]
2025-03-21T20:22:21.1740229Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_bias]
2025-03-21T20:22:21.1742709Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_weight]
2025-03-21T20:22:21.1745106Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_bias]
2025-03-21T20:22:21.1747606Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___weight]
2025-03-21T20:22:21.1749996Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___bias]
2025-03-21T20:22:21.1752381Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___weight]
2025-03-21T20:22:21.1754770Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___bias]
2025-03-21T20:22:21.1757166Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___weight]
2025-03-21T20:22:21.1759550Z     %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___bias]
2025-03-21T20:22:21.1762002Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_weight : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_weight]
2025-03-21T20:22:21.1764381Z     %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_bias : [num_users=1] = placeholder[target=p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_bias]
2025-03-21T20:22:21.1766194Z     %p_rnnt_transcriber_output_linear_weight : [num_users=1] = placeholder[target=p_rnnt_transcriber_output_linear_weight]
2025-03-21T20:22:21.1767425Z     %p_rnnt_transcriber_output_linear_bias : [num_users=1] = placeholder[target=p_rnnt_transcriber_output_linear_bias]
2025-03-21T20:22:21.1768603Z     %p_rnnt_transcriber_layer_norm_weight : [num_users=1] = placeholder[target=p_rnnt_transcriber_layer_norm_weight]
2025-03-21T20:22:21.1769752Z     %p_rnnt_transcriber_layer_norm_bias : [num_users=1] = placeholder[target=p_rnnt_transcriber_layer_norm_bias]
2025-03-21T20:22:21.1770827Z     %transcribe_inputs_0 : [num_users=1] = placeholder[target=transcribe_inputs_0]
2025-03-21T20:22:21.1771670Z     %transcribe_inputs_1 : [num_users=1] = placeholder[target=transcribe_inputs_1]
2025-03-21T20:22:21.1773111Z     %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%transcribe_inputs_0, %p_rnnt_transcriber_input_linear_weight), kwargs = {})
2025-03-21T20:22:21.1774583Z     %slice_1 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.1775878Z     %slice_2 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_1, 2, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.1777232Z     %div : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor_mode](args = (%transcribe_inputs_1, 4), kwargs = {rounding_mode: trunc})
2025-03-21T20:22:21.1778573Z     %reshape : [num_users=1] = call_function[target=torch.ops.aten.reshape.default](args = (%slice_2, [1, 32, 512]), kwargs = {})
2025-03-21T20:22:21.1779826Z     %permute : [num_users=9] = call_function[target=torch.ops.aten.permute.default](args = (%reshape, [1, 0, 2]), kwargs = {})
2025-03-21T20:22:21.1781176Z     %slice_3 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 4, 5), kwargs = {})
2025-03-21T20:22:21.1782370Z     %slice_4 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 8, 9), kwargs = {})
2025-03-21T20:22:21.1783546Z     %slice_5 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 12, 13), kwargs = {})
2025-03-21T20:22:21.1784726Z     %slice_6 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 16, 17), kwargs = {})
2025-03-21T20:22:21.1785910Z     %slice_7 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 20, 21), kwargs = {})
2025-03-21T20:22:21.1787089Z     %slice_8 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 24, 25), kwargs = {})
2025-03-21T20:22:21.1788261Z     %slice_9 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 28, 29), kwargs = {})
2025-03-21T20:22:21.1789523Z     %slice_10 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 31, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.1790993Z     %cat : [num_users=2] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_3, %slice_4, %slice_5, %slice_6, %slice_7, %slice_8, %slice_9, %slice_10],), kwargs = {})
2025-03-21T20:22:21.1792398Z     %slice_11 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%permute, 0, 0, 31), kwargs = {})
2025-03-21T20:22:21.1793651Z     %zeros : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1794959Z     %ones : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1796271Z     %zeros_1 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1797606Z     %zeros_2 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1798911Z     %ones_1 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1800235Z     %zeros_3 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 27],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1801620Z     %cat_1 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros, %ones, %zeros_1, %zeros_2, %ones_1, %zeros_3], 1), kwargs = {})
2025-03-21T20:22:21.1803006Z     %zeros_4 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1804530Z     %ones_2 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1806172Z     %zeros_5 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1807511Z     %zeros_6 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1808844Z     %ones_3 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1810180Z     %zeros_7 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 27],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1811683Z     %cat_2 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_4, %ones_2, %zeros_5, %zeros_6, %ones_3, %zeros_7], 1), kwargs = {})
2025-03-21T20:22:21.1813103Z     %zeros_8 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1814597Z     %ones_4 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1815925Z     %zeros_9 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 6],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1817251Z     %zeros_10 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1818569Z     %ones_5 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 8],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1819891Z     %zeros_11 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 23],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1821308Z     %cat_3 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_8, %ones_4, %zeros_9, %zeros_10, %ones_5, %zeros_11], 1), kwargs = {})
2025-03-21T20:22:21.1822721Z     %zeros_12 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1824037Z     %ones_6 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1825350Z     %zeros_13 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 6],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1826681Z     %zeros_14 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1827997Z     %ones_7 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 8],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1829318Z     %zeros_15 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 23],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1830740Z     %cat_4 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_12, %ones_6, %zeros_13, %zeros_14, %ones_7, %zeros_15], 1), kwargs = {})
2025-03-21T20:22:21.1832149Z     %zeros_16 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 2],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1833455Z     %ones_8 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1834769Z     %zeros_17 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 5],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1836095Z     %zeros_18 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1837552Z     %ones_9 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 12],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1838874Z     %zeros_19 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 19],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1840287Z     %cat_5 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_16, %ones_8, %zeros_17, %zeros_18, %ones_9, %zeros_19], 1), kwargs = {})
2025-03-21T20:22:21.1841692Z     %zeros_20 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 2],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1843011Z     %ones_10 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1844319Z     %zeros_21 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 5],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1845767Z     %zeros_22 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1847099Z     %ones_11 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 12],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1848422Z     %zeros_23 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 19],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1849836Z     %cat_6 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_20, %ones_10, %zeros_21, %zeros_22, %ones_11, %zeros_23], 1), kwargs = {})
2025-03-21T20:22:21.1851351Z     %zeros_24 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1852680Z     %ones_12 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1854014Z     %zeros_25 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1855350Z     %zeros_26 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1856668Z     %ones_13 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 16],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1857998Z     %zeros_27 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 15],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1859424Z     %cat_7 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_24, %ones_12, %zeros_25, %zeros_26, %ones_13, %zeros_27], 1), kwargs = {})
2025-03-21T20:22:21.1860841Z     %zeros_28 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1862177Z     %ones_14 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1863502Z     %zeros_29 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1864837Z     %zeros_30 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1866165Z     %ones_15 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 16],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1867492Z     %zeros_31 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 15],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1868929Z     %cat_8 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_28, %ones_14, %zeros_29, %zeros_30, %ones_15, %zeros_31], 1), kwargs = {})
2025-03-21T20:22:21.1870520Z     %zeros_32 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1871842Z     %ones_16 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1873165Z     %zeros_33 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1874498Z     %zeros_34 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1875818Z     %ones_17 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 20],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1877268Z     %zeros_35 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 11],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1878704Z     %cat_9 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_32, %ones_16, %zeros_33, %zeros_34, %ones_17, %zeros_35], 1), kwargs = {})
2025-03-21T20:22:21.1880118Z     %zeros_36 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 4],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1881439Z     %ones_18 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1882754Z     %zeros_37 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1884078Z     %zeros_38 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1885411Z     %ones_19 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 20],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1886737Z     %zeros_39 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 11],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1888160Z     %cat_10 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_36, %ones_18, %zeros_37, %zeros_38, %ones_19, %zeros_39], 1), kwargs = {})
2025-03-21T20:22:21.1889587Z     %zeros_40 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 5],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1890995Z     %ones_20 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1892316Z     %zeros_41 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 2],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1893669Z     %zeros_42 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1894995Z     %ones_21 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 24],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1896320Z     %zeros_43 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1897742Z     %cat_11 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_40, %ones_20, %zeros_41, %zeros_42, %ones_21, %zeros_43], 1), kwargs = {})
2025-03-21T20:22:21.1899167Z     %zeros_44 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 5],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1900492Z     %ones_22 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1901999Z     %zeros_45 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 2],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1903328Z     %zeros_46 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1904965Z     %ones_23 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 24],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1906294Z     %zeros_47 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1907718Z     %cat_12 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_44, %ones_22, %zeros_45, %zeros_46, %ones_23, %zeros_47], 1), kwargs = {})
2025-03-21T20:22:21.1909403Z     %zeros_48 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 6],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1910752Z     %ones_24 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1912068Z     %zeros_49 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1913390Z     %zeros_50 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1914708Z     %ones_25 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 28],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1916029Z     %zeros_51 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1917458Z     %cat_13 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_48, %ones_24, %zeros_49, %zeros_50, %ones_25, %zeros_51], 1), kwargs = {})
2025-03-21T20:22:21.1918886Z     %zeros_52 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 6],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1920203Z     %ones_26 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1921519Z     %zeros_53 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1922849Z     %zeros_54 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1924160Z     %ones_27 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([4, 28],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1925492Z     %zeros_55 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([4, 3],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1926912Z     %cat_14 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_52, %ones_26, %zeros_53, %zeros_54, %ones_27, %zeros_55], 1), kwargs = {})
2025-03-21T20:22:21.1928333Z     %zeros_56 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1929648Z     %ones_28 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1931063Z     %zeros_57 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1932403Z     %zeros_58 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1934010Z     %ones_29 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 31],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1935331Z     %zeros_59 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1936741Z     %cat_15 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_56, %ones_28, %zeros_57, %zeros_58, %ones_29, %zeros_59], 1), kwargs = {})
2025-03-21T20:22:21.1938163Z     %zeros_60 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([3, 7],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1939483Z     %ones_30 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([3, 1],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1940799Z     %zeros_61 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([3, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1942246Z     %zeros_62 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([3, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1943587Z     %ones_31 : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([3, 31],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1944903Z     %zeros_63 : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([3, 0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1946327Z     %cat_16 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%zeros_60, %ones_30, %zeros_61, %zeros_62, %ones_31, %zeros_63], 1), kwargs = {})
2025-03-21T20:22:21.1947802Z     %cat_17 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%cat_1, %cat_3, %cat_5, %cat_7, %cat_9, %cat_11, %cat_13, %cat_15],), kwargs = {})
2025-03-21T20:22:21.1949284Z     %cat_18 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%cat_2, %cat_4, %cat_6, %cat_8, %cat_10, %cat_12, %cat_14, %cat_16],), kwargs = {})
2025-03-21T20:22:21.1950582Z     %cat_19 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%cat_17, %cat_18],), kwargs = {})
2025-03-21T20:22:21.1951684Z     %rsub : [num_users=1] = call_function[target=torch.ops.aten.rsub.Scalar](args = (%cat_19, 1), kwargs = {})
2025-03-21T20:22:21.1952763Z     %to : [num_users=20] = call_function[target=torch.ops.aten.to.dtype](args = (%rsub, torch.bool), kwargs = {})
2025-03-21T20:22:21.1953990Z     %empty : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1955261Z     %to_1 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.1956418Z     %cat_20 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%cat, %slice_11],), kwargs = {})
2025-03-21T20:22:21.1958566Z     %layer_norm : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_20, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.1960821Z     %slice_12 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.1962084Z     %slice_13 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.1963375Z     %empty_1 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.1964667Z     %to_2 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_1, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.1966045Z     %cat_21 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_13, %slice_12, %to_2],), kwargs = {})
2025-03-21T20:22:21.1968245Z     %linear_1 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_21, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.1970531Z     %cat_22 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%to_1, %slice_13, %slice_12],), kwargs = {})
2025-03-21T20:22:21.1972773Z     %linear_2 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_22, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.1975097Z     %chunk : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_2, 2, 2), kwargs = {})
2025-03-21T20:22:21.1976192Z     %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%chunk, 0), kwargs = {})
2025-03-21T20:22:21.1977193Z     %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk, 1), kwargs = {})
2025-03-21T20:22:21.1978285Z     %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_1, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.1979470Z     %transpose : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view, 0, 1), kwargs = {})
2025-03-21T20:22:21.1980685Z     %contiguous : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem,), kwargs = {})
2025-03-21T20:22:21.1981917Z     %view_1 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.1983143Z     %transpose_1 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_1, 0, 1), kwargs = {})
2025-03-21T20:22:21.1984378Z     %contiguous_1 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_1,), kwargs = {})
2025-03-21T20:22:21.1985627Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_1, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.1986830Z     %transpose_2 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_2, 0, 1), kwargs = {})
2025-03-21T20:22:21.1987996Z     %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose, 0.125), kwargs = {})
2025-03-21T20:22:21.1989188Z     %transpose_3 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_1, 1, 2), kwargs = {})
2025-03-21T20:22:21.1990385Z     %bmm : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul, %transpose_3), kwargs = {})
2025-03-21T20:22:21.1991521Z     %to_3 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm, torch.float32), kwargs = {})
2025-03-21T20:22:21.1992660Z     %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.1993971Z     %masked_fill : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_3, %unsqueeze, -100000000.0), kwargs = {})
2025-03-21T20:22:21.1995251Z     %softmax : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill, -1), kwargs = {})
2025-03-21T20:22:21.1996429Z     %type_as : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax, %to_3), kwargs = {})
2025-03-21T20:22:21.1997647Z     %dropout : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as, 0.1, False), kwargs = {})
2025-03-21T20:22:21.1999038Z     %bmm_1 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout, %transpose_2), kwargs = {})
2025-03-21T20:22:21.2000226Z     %transpose_4 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_1, 0, 1), kwargs = {})
2025-03-21T20:22:21.2001476Z     %contiguous_2 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_4,), kwargs = {})
2025-03-21T20:22:21.2002741Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_2, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2005240Z     %linear_3 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_3, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2007397Z     %slice_14 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_3, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2008938Z     %slice_15 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_3, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2010165Z     %tanh : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_15,), kwargs = {})
2025-03-21T20:22:21.2011374Z     %slice_16 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2012596Z     %dropout_1 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_14, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2013803Z     %cat_23 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%cat, %slice_11],), kwargs = {})
2025-03-21T20:22:21.2014932Z     %add : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_1, %cat_23), kwargs = {})
2025-03-21T20:22:21.2017089Z     %layer_norm_1 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2020240Z     %linear_4 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_1, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2022351Z     %gelu : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_4,), kwargs = {})
2025-03-21T20:22:21.2023512Z     %dropout_2 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2025717Z     %linear_5 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_2, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2027934Z     %dropout_3 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_5, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2029134Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_3, %add), kwargs = {})
2025-03-21T20:22:21.2031266Z     %layer_norm_2 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_1, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___0___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2033512Z     %slice_17 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_2, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2035024Z     %slice_18 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_2, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2036222Z     %cat_24 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_18, %slice_17],), kwargs = {})
2025-03-21T20:22:21.2038383Z     %layer_norm_3 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_24, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2040612Z     %slice_19 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_3, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2041895Z     %slice_20 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_3, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2043307Z     %empty_2 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2044622Z     %to_4 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_2, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2045836Z     %cat_25 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_20, %slice_19, %to_4],), kwargs = {})
2025-03-21T20:22:21.2048047Z     %linear_6 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_25, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2050273Z     %cat_26 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_16, %slice_20, %slice_19],), kwargs = {})
2025-03-21T20:22:21.2052663Z     %linear_7 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_26, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2054857Z     %chunk_1 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_7, 2, 2), kwargs = {})
2025-03-21T20:22:21.2055955Z     %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_1, 0), kwargs = {})
2025-03-21T20:22:21.2056982Z     %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_1, 1), kwargs = {})
2025-03-21T20:22:21.2058088Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_6, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2059309Z     %transpose_5 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_4, 0, 1), kwargs = {})
2025-03-21T20:22:21.2060548Z     %contiguous_3 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_2,), kwargs = {})
2025-03-21T20:22:21.2061802Z     %view_5 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_3, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2063026Z     %transpose_6 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_5, 0, 1), kwargs = {})
2025-03-21T20:22:21.2064266Z     %contiguous_4 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_3,), kwargs = {})
2025-03-21T20:22:21.2065521Z     %view_6 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_4, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2066749Z     %transpose_7 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_6, 0, 1), kwargs = {})
2025-03-21T20:22:21.2068092Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_5, 0.125), kwargs = {})
2025-03-21T20:22:21.2069291Z     %transpose_8 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_6, 1, 2), kwargs = {})
2025-03-21T20:22:21.2070502Z     %bmm_2 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_1, %transpose_8), kwargs = {})
2025-03-21T20:22:21.2071636Z     %to_5 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_2, torch.float32), kwargs = {})
2025-03-21T20:22:21.2072785Z     %unsqueeze_1 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2074088Z     %masked_fill_1 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_5, %unsqueeze_1, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2075397Z     %softmax_1 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_1, -1), kwargs = {})
2025-03-21T20:22:21.2076708Z     %type_as_1 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_1, %to_5), kwargs = {})
2025-03-21T20:22:21.2077979Z     %dropout_4 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_1, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2079234Z     %bmm_3 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_4, %transpose_7), kwargs = {})
2025-03-21T20:22:21.2080435Z     %transpose_9 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_3, 0, 1), kwargs = {})
2025-03-21T20:22:21.2081692Z     %contiguous_5 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_9,), kwargs = {})
2025-03-21T20:22:21.2082965Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_5, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2085167Z     %linear_8 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_7, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2087318Z     %slice_21 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_8, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2088570Z     %slice_22 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_8, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2089781Z     %tanh_1 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_22,), kwargs = {})
2025-03-21T20:22:21.2091018Z     %slice_23 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_1, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2092274Z     %dropout_5 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_21, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2093531Z     %cat_27 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_18, %slice_17],), kwargs = {})
2025-03-21T20:22:21.2094709Z     %add_2 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_5, %cat_27), kwargs = {})
2025-03-21T20:22:21.2096881Z     %layer_norm_4 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_2, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2100049Z     %linear_9 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_4, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2102318Z     %gelu_1 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_9,), kwargs = {})
2025-03-21T20:22:21.2103506Z     %dropout_6 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_1, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2106036Z     %linear_10 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_6, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2108259Z     %dropout_7 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_10, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2109485Z     %add_3 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_7, %add_2), kwargs = {})
2025-03-21T20:22:21.2111893Z     %layer_norm_5 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_3, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___1___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2114169Z     %slice_24 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_5, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2115463Z     %slice_25 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_5, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2116672Z     %cat_28 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_25, %slice_24],), kwargs = {})
2025-03-21T20:22:21.2118856Z     %layer_norm_6 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_28, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2121104Z     %slice_26 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_6, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2122393Z     %slice_27 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_6, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2123706Z     %empty_3 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2124993Z     %to_6 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_3, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2126204Z     %cat_29 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_27, %slice_26, %to_6],), kwargs = {})
2025-03-21T20:22:21.2128433Z     %linear_11 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_29, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2130753Z     %cat_30 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_23, %slice_27, %slice_26],), kwargs = {})
2025-03-21T20:22:21.2133031Z     %linear_12 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_30, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2135243Z     %chunk_2 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_12, 2, 2), kwargs = {})
2025-03-21T20:22:21.2136618Z     %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_2, 0), kwargs = {})
2025-03-21T20:22:21.2137654Z     %getitem_5 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_2, 1), kwargs = {})
2025-03-21T20:22:21.2138769Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_11, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2139972Z     %transpose_10 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_8, 0, 1), kwargs = {})
2025-03-21T20:22:21.2141216Z     %contiguous_6 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_4,), kwargs = {})
2025-03-21T20:22:21.2142477Z     %view_9 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_6, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2143703Z     %transpose_11 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_9, 0, 1), kwargs = {})
2025-03-21T20:22:21.2145051Z     %contiguous_7 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_5,), kwargs = {})
2025-03-21T20:22:21.2146319Z     %view_10 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_7, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2147551Z     %transpose_12 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_10, 0, 1), kwargs = {})
2025-03-21T20:22:21.2148732Z     %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_10, 0.125), kwargs = {})
2025-03-21T20:22:21.2149934Z     %transpose_13 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_11, 1, 2), kwargs = {})
2025-03-21T20:22:21.2151164Z     %bmm_4 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_2, %transpose_13), kwargs = {})
2025-03-21T20:22:21.2152309Z     %to_7 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_4, torch.float32), kwargs = {})
2025-03-21T20:22:21.2153483Z     %unsqueeze_2 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2154808Z     %masked_fill_2 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_7, %unsqueeze_2, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2156122Z     %softmax_2 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_2, -1), kwargs = {})
2025-03-21T20:22:21.2157322Z     %type_as_2 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_2, %to_7), kwargs = {})
2025-03-21T20:22:21.2158559Z     %dropout_8 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_2, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2159816Z     %bmm_5 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_8, %transpose_12), kwargs = {})
2025-03-21T20:22:21.2161037Z     %transpose_14 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_5, 0, 1), kwargs = {})
2025-03-21T20:22:21.2162294Z     %contiguous_8 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_14,), kwargs = {})
2025-03-21T20:22:21.2163571Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_8, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2165759Z     %linear_13 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_11, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2167911Z     %slice_28 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_13, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2169177Z     %slice_29 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_13, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2170776Z     %tanh_2 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_29,), kwargs = {})
2025-03-21T20:22:21.2171945Z     %slice_30 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_2, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2173198Z     %dropout_9 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_28, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2174508Z     %cat_31 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_25, %slice_24],), kwargs = {})
2025-03-21T20:22:21.2175673Z     %add_4 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_9, %cat_31), kwargs = {})
2025-03-21T20:22:21.2177950Z     %layer_norm_7 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_4, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2181154Z     %linear_14 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_7, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2183295Z     %gelu_2 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_14,), kwargs = {})
2025-03-21T20:22:21.2184489Z     %dropout_10 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_2, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2186719Z     %linear_15 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_10, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2188948Z     %dropout_11 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_15, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2190165Z     %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_11, %add_4), kwargs = {})
2025-03-21T20:22:21.2192317Z     %layer_norm_8 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_5, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___2___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2194563Z     %slice_31 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_8, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2195856Z     %slice_32 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_8, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2197062Z     %cat_32 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_32, %slice_31],), kwargs = {})
2025-03-21T20:22:21.2199224Z     %layer_norm_9 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_32, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2201463Z     %slice_33 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_9, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2202747Z     %slice_34 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_9, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2204521Z     %empty_4 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2205827Z     %to_8 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_4, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2207027Z     %cat_33 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_34, %slice_33, %to_8],), kwargs = {})
2025-03-21T20:22:21.2209229Z     %linear_16 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_33, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2211524Z     %cat_34 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_30, %slice_34, %slice_33],), kwargs = {})
2025-03-21T20:22:21.2214029Z     %linear_17 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_34, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2216243Z     %chunk_3 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_17, 2, 2), kwargs = {})
2025-03-21T20:22:21.2217344Z     %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_3, 0), kwargs = {})
2025-03-21T20:22:21.2218368Z     %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_3, 1), kwargs = {})
2025-03-21T20:22:21.2219489Z     %view_12 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_16, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2220699Z     %transpose_15 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_12, 0, 1), kwargs = {})
2025-03-21T20:22:21.2221956Z     %contiguous_9 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_6,), kwargs = {})
2025-03-21T20:22:21.2223215Z     %view_13 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_9, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2224442Z     %transpose_16 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_13, 0, 1), kwargs = {})
2025-03-21T20:22:21.2225688Z     %contiguous_10 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_7,), kwargs = {})
2025-03-21T20:22:21.2226949Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_10, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2228180Z     %transpose_17 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_14, 0, 1), kwargs = {})
2025-03-21T20:22:21.2229363Z     %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_15, 0.125), kwargs = {})
2025-03-21T20:22:21.2230567Z     %transpose_18 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_16, 1, 2), kwargs = {})
2025-03-21T20:22:21.2231792Z     %bmm_6 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_3, %transpose_18), kwargs = {})
2025-03-21T20:22:21.2232931Z     %to_9 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_6, torch.float32), kwargs = {})
2025-03-21T20:22:21.2234081Z     %unsqueeze_3 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2235389Z     %masked_fill_3 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_9, %unsqueeze_3, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2236703Z     %softmax_3 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_3, -1), kwargs = {})
2025-03-21T20:22:21.2238147Z     %type_as_3 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_3, %to_9), kwargs = {})
2025-03-21T20:22:21.2239405Z     %dropout_12 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_3, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2240662Z     %bmm_7 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_12, %transpose_17), kwargs = {})
2025-03-21T20:22:21.2241897Z     %transpose_19 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_7, 0, 1), kwargs = {})
2025-03-21T20:22:21.2243158Z     %contiguous_11 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_19,), kwargs = {})
2025-03-21T20:22:21.2244446Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_11, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2246731Z     %linear_18 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_15, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2248919Z     %slice_35 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_18, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2250187Z     %slice_36 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_18, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2251509Z     %tanh_3 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_36,), kwargs = {})
2025-03-21T20:22:21.2252665Z     %slice_37 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_3, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2253909Z     %dropout_13 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_35, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2255165Z     %cat_35 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_32, %slice_31],), kwargs = {})
2025-03-21T20:22:21.2256325Z     %add_6 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_13, %cat_35), kwargs = {})
2025-03-21T20:22:21.2258483Z     %layer_norm_10 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_6, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2261714Z     %linear_19 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_10, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2263861Z     %gelu_3 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_19,), kwargs = {})
2025-03-21T20:22:21.2265056Z     %dropout_14 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_3, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2267275Z     %linear_20 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_14, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2269498Z     %dropout_15 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_20, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2270723Z     %add_7 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_15, %add_6), kwargs = {})
2025-03-21T20:22:21.2273085Z     %layer_norm_11 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_7, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___3___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2275343Z     %slice_38 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_11, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2276632Z     %slice_39 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_11, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2277837Z     %cat_36 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_39, %slice_38],), kwargs = {})
2025-03-21T20:22:21.2280106Z     %layer_norm_12 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_36, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2282373Z     %slice_40 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_12, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2283666Z     %slice_41 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_12, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2284982Z     %empty_5 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2286279Z     %to_10 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_5, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2287506Z     %cat_37 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_41, %slice_40, %to_10],), kwargs = {})
2025-03-21T20:22:21.2289732Z     %linear_21 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_37, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2292053Z     %cat_38 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_37, %slice_41, %slice_40],), kwargs = {})
2025-03-21T20:22:21.2294320Z     %linear_22 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_38, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2296527Z     %chunk_4 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_22, 2, 2), kwargs = {})
2025-03-21T20:22:21.2297633Z     %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_4, 0), kwargs = {})
2025-03-21T20:22:21.2298676Z     %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_4, 1), kwargs = {})
2025-03-21T20:22:21.2299799Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_21, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2301013Z     %transpose_20 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_16, 0, 1), kwargs = {})
2025-03-21T20:22:21.2302266Z     %contiguous_12 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_8,), kwargs = {})
2025-03-21T20:22:21.2303522Z     %view_17 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_12, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2305068Z     %transpose_21 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_17, 0, 1), kwargs = {})
2025-03-21T20:22:21.2306591Z     %contiguous_13 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_9,), kwargs = {})
2025-03-21T20:22:21.2307853Z     %view_18 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_13, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2309084Z     %transpose_22 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_18, 0, 1), kwargs = {})
2025-03-21T20:22:21.2310264Z     %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_20, 0.125), kwargs = {})
2025-03-21T20:22:21.2311469Z     %transpose_23 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_21, 1, 2), kwargs = {})
2025-03-21T20:22:21.2312692Z     %bmm_8 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_4, %transpose_23), kwargs = {})
2025-03-21T20:22:21.2313834Z     %to_11 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_8, torch.float32), kwargs = {})
2025-03-21T20:22:21.2315211Z     %unsqueeze_4 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2316538Z     %masked_fill_4 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_11, %unsqueeze_4, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2317845Z     %softmax_4 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_4, -1), kwargs = {})
2025-03-21T20:22:21.2319050Z     %type_as_4 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_4, %to_11), kwargs = {})
2025-03-21T20:22:21.2320301Z     %dropout_16 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_4, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2321561Z     %bmm_9 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_16, %transpose_22), kwargs = {})
2025-03-21T20:22:21.2322770Z     %transpose_24 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_9, 0, 1), kwargs = {})
2025-03-21T20:22:21.2324032Z     %contiguous_14 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_24,), kwargs = {})
2025-03-21T20:22:21.2325311Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_14, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2327502Z     %linear_23 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_19, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2329652Z     %slice_42 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_23, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2330999Z     %slice_43 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_23, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2332235Z     %tanh_4 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_43,), kwargs = {})
2025-03-21T20:22:21.2333380Z     %slice_44 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_4, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2334621Z     %dropout_17 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_42, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2335854Z     %cat_39 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_39, %slice_38],), kwargs = {})
2025-03-21T20:22:21.2337013Z     %add_8 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_17, %cat_39), kwargs = {})
2025-03-21T20:22:21.2339181Z     %layer_norm_13 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_8, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2342480Z     %linear_24 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_13, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2344616Z     %gelu_4 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_24,), kwargs = {})
2025-03-21T20:22:21.2345800Z     %dropout_18 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_4, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2348096Z     %linear_25 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_18, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2350329Z     %dropout_19 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_25, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2351550Z     %add_9 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_19, %add_8), kwargs = {})
2025-03-21T20:22:21.2353696Z     %layer_norm_14 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_9, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___4___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2355941Z     %slice_45 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_14, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2357233Z     %slice_46 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_14, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2358439Z     %cat_40 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_46, %slice_45],), kwargs = {})
2025-03-21T20:22:21.2360606Z     %layer_norm_15 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_40, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2362835Z     %slice_47 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_15, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2364118Z     %slice_48 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_15, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2365436Z     %empty_6 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2366729Z     %to_12 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_6, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2367942Z     %cat_41 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_48, %slice_47, %to_12],), kwargs = {})
2025-03-21T20:22:21.2370154Z     %linear_26 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_41, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2372460Z     %cat_42 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_44, %slice_48, %slice_47],), kwargs = {})
2025-03-21T20:22:21.2374731Z     %linear_27 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_42, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2377078Z     %chunk_5 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_27, 2, 2), kwargs = {})
2025-03-21T20:22:21.2378183Z     %getitem_10 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_5, 0), kwargs = {})
2025-03-21T20:22:21.2379216Z     %getitem_11 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_5, 1), kwargs = {})
2025-03-21T20:22:21.2380330Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_26, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2381537Z     %transpose_25 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_20, 0, 1), kwargs = {})
2025-03-21T20:22:21.2382955Z     %contiguous_15 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_10,), kwargs = {})
2025-03-21T20:22:21.2384231Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_15, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2385452Z     %transpose_26 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_21, 0, 1), kwargs = {})
2025-03-21T20:22:21.2386707Z     %contiguous_16 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_11,), kwargs = {})
2025-03-21T20:22:21.2387968Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_16, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2389195Z     %transpose_27 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_22, 0, 1), kwargs = {})
2025-03-21T20:22:21.2390365Z     %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_25, 0.125), kwargs = {})
2025-03-21T20:22:21.2391589Z     %transpose_28 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_26, 1, 2), kwargs = {})
2025-03-21T20:22:21.2392816Z     %bmm_10 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_5, %transpose_28), kwargs = {})
2025-03-21T20:22:21.2393963Z     %to_13 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_10, torch.float32), kwargs = {})
2025-03-21T20:22:21.2395113Z     %unsqueeze_5 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2396417Z     %masked_fill_5 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_13, %unsqueeze_5, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2397725Z     %softmax_5 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_5, -1), kwargs = {})
2025-03-21T20:22:21.2398944Z     %type_as_5 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_5, %to_13), kwargs = {})
2025-03-21T20:22:21.2400191Z     %dropout_20 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_5, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2401452Z     %bmm_11 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_20, %transpose_27), kwargs = {})
2025-03-21T20:22:21.2402664Z     %transpose_29 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_11, 0, 1), kwargs = {})
2025-03-21T20:22:21.2404097Z     %contiguous_17 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_29,), kwargs = {})
2025-03-21T20:22:21.2405392Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_17, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2407585Z     %linear_28 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_23, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2410041Z     %slice_49 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_28, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2411394Z     %slice_50 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_28, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2412611Z     %tanh_5 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_50,), kwargs = {})
2025-03-21T20:22:21.2413754Z     %slice_51 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_5, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2414993Z     %dropout_21 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_49, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2416449Z     %cat_43 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_46, %slice_45],), kwargs = {})
2025-03-21T20:22:21.2417634Z     %add_10 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_21, %cat_43), kwargs = {})
2025-03-21T20:22:21.2419815Z     %layer_norm_16 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_10, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2422995Z     %linear_29 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_16, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2425134Z     %gelu_5 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_29,), kwargs = {})
2025-03-21T20:22:21.2426330Z     %dropout_22 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_5, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2428548Z     %linear_30 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_22, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2430935Z     %dropout_23 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_30, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2432158Z     %add_11 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_23, %add_10), kwargs = {})
2025-03-21T20:22:21.2434351Z     %layer_norm_17 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_11, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___5___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2436612Z     %slice_52 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_17, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2437904Z     %slice_53 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_17, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2439103Z     %cat_44 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_53, %slice_52],), kwargs = {})
2025-03-21T20:22:21.2441284Z     %layer_norm_18 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_44, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2443648Z     %slice_54 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_18, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2444929Z     %slice_55 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_18, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2446229Z     %empty_7 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2447516Z     %to_14 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_7, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2448726Z     %cat_45 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_55, %slice_54, %to_14],), kwargs = {})
2025-03-21T20:22:21.2451101Z     %linear_31 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_45, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2453338Z     %cat_46 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_51, %slice_55, %slice_54],), kwargs = {})
2025-03-21T20:22:21.2455593Z     %linear_32 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_46, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2457795Z     %chunk_6 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_32, 2, 2), kwargs = {})
2025-03-21T20:22:21.2458895Z     %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_6, 0), kwargs = {})
2025-03-21T20:22:21.2459944Z     %getitem_13 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_6, 1), kwargs = {})
2025-03-21T20:22:21.2461067Z     %view_24 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_31, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2462279Z     %transpose_30 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_24, 0, 1), kwargs = {})
2025-03-21T20:22:21.2463535Z     %contiguous_18 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_12,), kwargs = {})
2025-03-21T20:22:21.2464803Z     %view_25 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_18, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2466040Z     %transpose_31 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_25, 0, 1), kwargs = {})
2025-03-21T20:22:21.2467306Z     %contiguous_19 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_13,), kwargs = {})
2025-03-21T20:22:21.2468579Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_19, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2469814Z     %transpose_32 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_26, 0, 1), kwargs = {})
2025-03-21T20:22:21.2470986Z     %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_30, 0.125), kwargs = {})
2025-03-21T20:22:21.2472192Z     %transpose_33 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_31, 1, 2), kwargs = {})
2025-03-21T20:22:21.2473410Z     %bmm_12 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_6, %transpose_33), kwargs = {})
2025-03-21T20:22:21.2474559Z     %to_15 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_12, torch.float32), kwargs = {})
2025-03-21T20:22:21.2475851Z     %unsqueeze_6 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2477154Z     %masked_fill_6 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_15, %unsqueeze_6, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2478460Z     %softmax_6 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_6, -1), kwargs = {})
2025-03-21T20:22:21.2479662Z     %type_as_6 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_6, %to_15), kwargs = {})
2025-03-21T20:22:21.2480912Z     %dropout_24 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_6, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2482169Z     %bmm_13 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_24, %transpose_32), kwargs = {})
2025-03-21T20:22:21.2483487Z     %transpose_34 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_13, 0, 1), kwargs = {})
2025-03-21T20:22:21.2484768Z     %contiguous_20 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_34,), kwargs = {})
2025-03-21T20:22:21.2486037Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_20, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2488219Z     %linear_33 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_27, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2490362Z     %slice_56 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_33, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2491727Z     %slice_57 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_33, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2492964Z     %tanh_6 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_57,), kwargs = {})
2025-03-21T20:22:21.2494106Z     %slice_58 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_6, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2495346Z     %dropout_25 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_56, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2496587Z     %cat_47 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_53, %slice_52],), kwargs = {})
2025-03-21T20:22:21.2497757Z     %add_12 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_25, %cat_47), kwargs = {})
2025-03-21T20:22:21.2499934Z     %layer_norm_19 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_12, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2503121Z     %linear_34 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_19, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2505523Z     %gelu_6 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_34,), kwargs = {})
2025-03-21T20:22:21.2506709Z     %dropout_26 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_6, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2508926Z     %linear_35 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_26, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2511442Z     %dropout_27 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_35, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2512661Z     %add_13 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_27, %add_12), kwargs = {})
2025-03-21T20:22:21.2514815Z     %layer_norm_20 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_13, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___6___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2517061Z     %slice_59 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_20, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2518543Z     %slice_60 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_20, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2519761Z     %cat_48 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_60, %slice_59],), kwargs = {})
2025-03-21T20:22:21.2521917Z     %layer_norm_21 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_48, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2524152Z     %slice_61 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_21, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2525426Z     %slice_62 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_21, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2526742Z     %empty_8 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2528033Z     %to_16 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_8, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2529380Z     %cat_49 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_62, %slice_61, %to_16],), kwargs = {})
2025-03-21T20:22:21.2531673Z     %linear_36 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_49, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2533883Z     %cat_50 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_58, %slice_62, %slice_61],), kwargs = {})
2025-03-21T20:22:21.2536138Z     %linear_37 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_50, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2538335Z     %chunk_7 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_37, 2, 2), kwargs = {})
2025-03-21T20:22:21.2539435Z     %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_7, 0), kwargs = {})
2025-03-21T20:22:21.2540456Z     %getitem_15 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_7, 1), kwargs = {})
2025-03-21T20:22:21.2541576Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_36, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2542789Z     %transpose_35 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_28, 0, 1), kwargs = {})
2025-03-21T20:22:21.2544167Z     %contiguous_21 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_14,), kwargs = {})
2025-03-21T20:22:21.2545431Z     %view_29 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_21, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2546660Z     %transpose_36 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_29, 0, 1), kwargs = {})
2025-03-21T20:22:21.2547916Z     %contiguous_22 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_15,), kwargs = {})
2025-03-21T20:22:21.2549177Z     %view_30 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_22, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2550397Z     %transpose_37 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_30, 0, 1), kwargs = {})
2025-03-21T20:22:21.2551572Z     %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_35, 0.125), kwargs = {})
2025-03-21T20:22:21.2552872Z     %transpose_38 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_36, 1, 2), kwargs = {})
2025-03-21T20:22:21.2554103Z     %bmm_14 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_7, %transpose_38), kwargs = {})
2025-03-21T20:22:21.2555247Z     %to_17 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_14, torch.float32), kwargs = {})
2025-03-21T20:22:21.2556406Z     %unsqueeze_7 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2557715Z     %masked_fill_7 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_17, %unsqueeze_7, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2559019Z     %softmax_7 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_7, -1), kwargs = {})
2025-03-21T20:22:21.2560234Z     %type_as_7 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_7, %to_17), kwargs = {})
2025-03-21T20:22:21.2561490Z     %dropout_28 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_7, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2562749Z     %bmm_15 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_28, %transpose_37), kwargs = {})
2025-03-21T20:22:21.2563959Z     %transpose_39 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_15, 0, 1), kwargs = {})
2025-03-21T20:22:21.2565224Z     %contiguous_23 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_39,), kwargs = {})
2025-03-21T20:22:21.2566500Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_23, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2568681Z     %linear_38 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_31, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2570912Z     %slice_63 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_38, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2572171Z     %slice_64 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_38, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2573374Z     %tanh_7 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_64,), kwargs = {})
2025-03-21T20:22:21.2574507Z     %slice_65 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_7, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2575736Z     %dropout_29 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_63, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2577131Z     %cat_51 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_60, %slice_59],), kwargs = {})
2025-03-21T20:22:21.2578296Z     %add_14 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_29, %cat_51), kwargs = {})
2025-03-21T20:22:21.2580467Z     %layer_norm_22 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_14, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2583636Z     %linear_39 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_22, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2585847Z     %gelu_7 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_39,), kwargs = {})
2025-03-21T20:22:21.2587044Z     %dropout_30 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_7, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2589250Z     %linear_40 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_30, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2591468Z     %dropout_31 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_40, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2592687Z     %add_15 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_31, %add_14), kwargs = {})
2025-03-21T20:22:21.2594854Z     %layer_norm_23 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_15, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___7___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2597104Z     %slice_66 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_23, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2598389Z     %slice_67 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_23, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2599595Z     %cat_52 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_67, %slice_66],), kwargs = {})
2025-03-21T20:22:21.2601767Z     %layer_norm_24 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_52, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2604280Z     %slice_68 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_24, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2605588Z     %slice_69 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_24, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2606895Z     %empty_9 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2608194Z     %to_18 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_9, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2609414Z     %cat_53 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_69, %slice_68, %to_18],), kwargs = {})
2025-03-21T20:22:21.2611718Z     %linear_41 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_53, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2614224Z     %cat_54 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_65, %slice_69, %slice_68],), kwargs = {})
2025-03-21T20:22:21.2616487Z     %linear_42 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_54, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2618688Z     %chunk_8 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_42, 2, 2), kwargs = {})
2025-03-21T20:22:21.2619788Z     %getitem_16 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_8, 0), kwargs = {})
2025-03-21T20:22:21.2621003Z     %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_8, 1), kwargs = {})
2025-03-21T20:22:21.2622132Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_41, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2623343Z     %transpose_40 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_32, 0, 1), kwargs = {})
2025-03-21T20:22:21.2624599Z     %contiguous_24 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_16,), kwargs = {})
2025-03-21T20:22:21.2625857Z     %view_33 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_24, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2627092Z     %transpose_41 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_33, 0, 1), kwargs = {})
2025-03-21T20:22:21.2628356Z     %contiguous_25 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_17,), kwargs = {})
2025-03-21T20:22:21.2629620Z     %view_34 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_25, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2630847Z     %transpose_42 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_34, 0, 1), kwargs = {})
2025-03-21T20:22:21.2632019Z     %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_40, 0.125), kwargs = {})
2025-03-21T20:22:21.2633223Z     %transpose_43 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_41, 1, 2), kwargs = {})
2025-03-21T20:22:21.2634446Z     %bmm_16 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_8, %transpose_43), kwargs = {})
2025-03-21T20:22:21.2635601Z     %to_19 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_16, torch.float32), kwargs = {})
2025-03-21T20:22:21.2636764Z     %unsqueeze_8 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2638075Z     %masked_fill_8 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_19, %unsqueeze_8, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2639387Z     %softmax_8 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_8, -1), kwargs = {})
2025-03-21T20:22:21.2640582Z     %type_as_8 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_8, %to_19), kwargs = {})
2025-03-21T20:22:21.2641833Z     %dropout_32 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_8, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2643093Z     %bmm_17 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_32, %transpose_42), kwargs = {})
2025-03-21T20:22:21.2644479Z     %transpose_44 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_17, 0, 1), kwargs = {})
2025-03-21T20:22:21.2645740Z     %contiguous_26 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_44,), kwargs = {})
2025-03-21T20:22:21.2647017Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_26, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2649193Z     %linear_43 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_35, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2651440Z     %slice_70 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_43, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2652813Z     %slice_71 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_43, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2654033Z     %tanh_8 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_71,), kwargs = {})
2025-03-21T20:22:21.2655166Z     %slice_72 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_8, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2656400Z     %dropout_33 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_70, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2657637Z     %cat_55 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_67, %slice_66],), kwargs = {})
2025-03-21T20:22:21.2658800Z     %add_16 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_33, %cat_55), kwargs = {})
2025-03-21T20:22:21.2660978Z     %layer_norm_25 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_16, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2664162Z     %linear_44 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_25, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2666285Z     %gelu_8 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_44,), kwargs = {})
2025-03-21T20:22:21.2667471Z     %dropout_34 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_8, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2669680Z     %linear_45 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_34, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2671903Z     %dropout_35 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_45, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2673125Z     %add_17 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_35, %add_16), kwargs = {})
2025-03-21T20:22:21.2675291Z     %layer_norm_26 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_17, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___8___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2677546Z     %slice_73 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_26, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2678964Z     %slice_74 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_26, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2680172Z     %cat_56 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_74, %slice_73],), kwargs = {})
2025-03-21T20:22:21.2682325Z     %layer_norm_27 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_56, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2684557Z     %slice_75 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_27, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2685843Z     %slice_76 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_27, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2687245Z     %empty_10 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2688555Z     %to_20 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_10, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2689772Z     %cat_57 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_76, %slice_75, %to_20],), kwargs = {})
2025-03-21T20:22:21.2692069Z     %linear_46 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_57, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2694282Z     %cat_58 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_72, %slice_76, %slice_75],), kwargs = {})
2025-03-21T20:22:21.2696556Z     %linear_47 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_58, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2698767Z     %chunk_9 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_47, 2, 2), kwargs = {})
2025-03-21T20:22:21.2699880Z     %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_9, 0), kwargs = {})
2025-03-21T20:22:21.2700918Z     %getitem_19 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_9, 1), kwargs = {})
2025-03-21T20:22:21.2702039Z     %view_36 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_46, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2703253Z     %transpose_45 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_36, 0, 1), kwargs = {})
2025-03-21T20:22:21.2704919Z     %contiguous_27 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_18,), kwargs = {})
2025-03-21T20:22:21.2706192Z     %view_37 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_27, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2707423Z     %transpose_46 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_37, 0, 1), kwargs = {})
2025-03-21T20:22:21.2708681Z     %contiguous_28 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_19,), kwargs = {})
2025-03-21T20:22:21.2709950Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_28, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2711182Z     %transpose_47 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_38, 0, 1), kwargs = {})
2025-03-21T20:22:21.2712369Z     %mul_9 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_45, 0.125), kwargs = {})
2025-03-21T20:22:21.2713887Z     %transpose_48 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_46, 1, 2), kwargs = {})
2025-03-21T20:22:21.2715112Z     %bmm_18 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_9, %transpose_48), kwargs = {})
2025-03-21T20:22:21.2716256Z     %to_21 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_18, torch.float32), kwargs = {})
2025-03-21T20:22:21.2717413Z     %unsqueeze_9 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2718719Z     %masked_fill_9 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_21, %unsqueeze_9, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2720031Z     %softmax_9 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_9, -1), kwargs = {})
2025-03-21T20:22:21.2721411Z     %type_as_9 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_9, %to_21), kwargs = {})
2025-03-21T20:22:21.2722676Z     %dropout_36 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_9, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2723936Z     %bmm_19 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_36, %transpose_47), kwargs = {})
2025-03-21T20:22:21.2725147Z     %transpose_49 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_19, 0, 1), kwargs = {})
2025-03-21T20:22:21.2726401Z     %contiguous_29 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_49,), kwargs = {})
2025-03-21T20:22:21.2727679Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_29, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2729861Z     %linear_48 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_39, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2732118Z     %slice_77 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_48, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2733391Z     %slice_78 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_48, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2734600Z     %tanh_9 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_78,), kwargs = {})
2025-03-21T20:22:21.2735732Z     %slice_79 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_9, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2736971Z     %dropout_37 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_77, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2738219Z     %cat_59 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_74, %slice_73],), kwargs = {})
2025-03-21T20:22:21.2739382Z     %add_18 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_37, %cat_59), kwargs = {})
2025-03-21T20:22:21.2741548Z     %layer_norm_28 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_18, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2744716Z     %linear_49 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_28, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2746968Z     %gelu_9 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_49,), kwargs = {})
2025-03-21T20:22:21.2748153Z     %dropout_38 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_9, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2750364Z     %linear_50 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_38, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2752588Z     %dropout_39 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_50, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2753799Z     %add_19 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_39, %add_18), kwargs = {})
2025-03-21T20:22:21.2756055Z     %layer_norm_29 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_19, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___9___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2758322Z     %slice_80 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_29, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2759608Z     %slice_81 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_29, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2760802Z     %cat_60 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_81, %slice_80],), kwargs = {})
2025-03-21T20:22:21.2762972Z     %layer_norm_30 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_60, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2765278Z     %slice_82 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_30, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2766664Z     %slice_83 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_30, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2767999Z     %empty_11 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2769292Z     %to_22 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_11, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2770604Z     %cat_61 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_83, %slice_82, %to_22],), kwargs = {})
2025-03-21T20:22:21.2772852Z     %linear_51 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_61, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2775078Z     %cat_62 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_79, %slice_83, %slice_82],), kwargs = {})
2025-03-21T20:22:21.2777338Z     %linear_52 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_62, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2779541Z     %chunk_10 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_52, 2, 2), kwargs = {})
2025-03-21T20:22:21.2780802Z     %getitem_20 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_10, 0), kwargs = {})
2025-03-21T20:22:21.2781844Z     %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_10, 1), kwargs = {})
2025-03-21T20:22:21.2782968Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_51, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2784174Z     %transpose_50 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_40, 0, 1), kwargs = {})
2025-03-21T20:22:21.2785417Z     %contiguous_30 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_20,), kwargs = {})
2025-03-21T20:22:21.2786679Z     %view_41 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_30, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2787227Z     %transpose_51 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_41, 0, 1), kwargs = {})
2025-03-21T20:22:21.2787883Z     %contiguous_31 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_21,), kwargs = {})
2025-03-21T20:22:21.2788444Z     %view_42 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_31, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2788978Z     %transpose_52 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_42, 0, 1), kwargs = {})
2025-03-21T20:22:21.2789478Z     %mul_10 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_50, 0.125), kwargs = {})
2025-03-21T20:22:21.2790039Z     %transpose_53 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_51, 1, 2), kwargs = {})
2025-03-21T20:22:21.2801449Z     %bmm_20 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_10, %transpose_53), kwargs = {})
2025-03-21T20:22:21.2802047Z     %to_23 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_20, torch.float32), kwargs = {})
2025-03-21T20:22:21.2802610Z     %unsqueeze_10 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2803262Z     %masked_fill_10 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_23, %unsqueeze_10, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2804133Z     %softmax_10 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_10, -1), kwargs = {})
2025-03-21T20:22:21.2804682Z     %type_as_10 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_10, %to_23), kwargs = {})
2025-03-21T20:22:21.2805267Z     %dropout_40 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_10, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2805799Z     %bmm_21 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_40, %transpose_52), kwargs = {})
2025-03-21T20:22:21.2806348Z     %transpose_54 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_21, 0, 1), kwargs = {})
2025-03-21T20:22:21.2806930Z     %contiguous_32 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_54,), kwargs = {})
2025-03-21T20:22:21.2807481Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_32, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2808980Z     %linear_53 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_43, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2809508Z     %slice_84 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_53, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2810486Z     %slice_85 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_53, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2810978Z     %tanh_10 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_85,), kwargs = {})
2025-03-21T20:22:21.2811492Z     %slice_86 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_10, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2812058Z     %dropout_41 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_84, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2812579Z     %cat_63 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_81, %slice_80],), kwargs = {})
2025-03-21T20:22:21.2813071Z     %add_20 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_41, %cat_63), kwargs = {})
2025-03-21T20:22:21.2814772Z     %layer_norm_31 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_20, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2816304Z     %linear_54 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_31, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2816792Z     %gelu_10 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_54,), kwargs = {})
2025-03-21T20:22:21.2817355Z     %dropout_42 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_10, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2818874Z     %linear_55 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_42, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2819459Z     %dropout_43 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_55, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2819958Z     %add_21 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_43, %add_20), kwargs = {})
2025-03-21T20:22:21.2821476Z     %layer_norm_32 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_21, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___10___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2822088Z     %slice_87 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_32, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2822635Z     %slice_88 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_32, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2823165Z     %cat_64 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_88, %slice_87],), kwargs = {})
2025-03-21T20:22:21.2824665Z     %layer_norm_33 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_64, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2825272Z     %slice_89 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_33, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2825809Z     %slice_90 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_33, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2826538Z     %empty_12 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2827065Z     %to_24 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_12, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2827615Z     %cat_65 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_90, %slice_89, %to_24],), kwargs = {})
2025-03-21T20:22:21.2829134Z     %linear_56 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_65, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2829701Z     %cat_66 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_86, %slice_90, %slice_89],), kwargs = {})
2025-03-21T20:22:21.2831386Z     %linear_57 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_66, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2831920Z     %chunk_11 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_57, 2, 2), kwargs = {})
2025-03-21T20:22:21.2832366Z     %getitem_22 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_11, 0), kwargs = {})
2025-03-21T20:22:21.2832823Z     %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_11, 1), kwargs = {})
2025-03-21T20:22:21.2833351Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_56, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2833891Z     %transpose_55 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_44, 0, 1), kwargs = {})
2025-03-21T20:22:21.2834469Z     %contiguous_33 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_22,), kwargs = {})
2025-03-21T20:22:21.2835013Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_33, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2835553Z     %transpose_56 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_45, 0, 1), kwargs = {})
2025-03-21T20:22:21.2836120Z     %contiguous_34 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_23,), kwargs = {})
2025-03-21T20:22:21.2836671Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_34, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2837211Z     %transpose_57 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_46, 0, 1), kwargs = {})
2025-03-21T20:22:21.2837714Z     %mul_11 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_55, 0.125), kwargs = {})
2025-03-21T20:22:21.2838277Z     %transpose_58 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_56, 1, 2), kwargs = {})
2025-03-21T20:22:21.2838794Z     %bmm_22 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_11, %transpose_58), kwargs = {})
2025-03-21T20:22:21.2839278Z     %to_25 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_22, torch.float32), kwargs = {})
2025-03-21T20:22:21.2839805Z     %unsqueeze_11 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2840441Z     %masked_fill_11 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_25, %unsqueeze_11, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2840977Z     %softmax_11 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_11, -1), kwargs = {})
2025-03-21T20:22:21.2841612Z     %type_as_11 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_11, %to_25), kwargs = {})
2025-03-21T20:22:21.2842196Z     %dropout_44 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_11, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2842725Z     %bmm_23 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_44, %transpose_57), kwargs = {})
2025-03-21T20:22:21.2843256Z     %transpose_59 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_23, 0, 1), kwargs = {})
2025-03-21T20:22:21.2843837Z     %contiguous_35 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_59,), kwargs = {})
2025-03-21T20:22:21.2844382Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_35, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2845992Z     %linear_58 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_47, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2846527Z     %slice_91 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_58, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2847112Z     %slice_92 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_58, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2847579Z     %tanh_11 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_92,), kwargs = {})
2025-03-21T20:22:21.2848098Z     %slice_93 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_11, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2848676Z     %dropout_45 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_91, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2849192Z     %cat_67 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_88, %slice_87],), kwargs = {})
2025-03-21T20:22:21.2849682Z     %add_22 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_45, %cat_67), kwargs = {})
2025-03-21T20:22:21.2851317Z     %layer_norm_34 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_22, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2852846Z     %linear_59 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_34, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2853337Z     %gelu_11 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_59,), kwargs = {})
2025-03-21T20:22:21.2853896Z     %dropout_46 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_11, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2855415Z     %linear_60 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_46, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2855989Z     %dropout_47 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_60, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2856490Z     %add_23 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_47, %add_22), kwargs = {})
2025-03-21T20:22:21.2858119Z     %layer_norm_35 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_23, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___11___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2858735Z     %slice_94 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_35, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2859274Z     %slice_95 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_35, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2859791Z     %cat_68 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_95, %slice_94],), kwargs = {})
2025-03-21T20:22:21.2861379Z     %layer_norm_36 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_68, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2862004Z     %slice_96 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_36, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2862542Z     %slice_97 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_36, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2863169Z     %empty_13 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2863691Z     %to_26 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_13, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2864242Z     %cat_69 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_97, %slice_96, %to_26],), kwargs = {})
2025-03-21T20:22:21.2865766Z     %linear_61 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_69, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2866335Z     %cat_70 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_93, %slice_97, %slice_96],), kwargs = {})
2025-03-21T20:22:21.2867886Z     %linear_62 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_70, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2868405Z     %chunk_12 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_62, 2, 2), kwargs = {})
2025-03-21T20:22:21.2868866Z     %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_12, 0), kwargs = {})
2025-03-21T20:22:21.2869312Z     %getitem_25 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_12, 1), kwargs = {})
2025-03-21T20:22:21.2869843Z     %view_48 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_61, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2870373Z     %transpose_60 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_48, 0, 1), kwargs = {})
2025-03-21T20:22:21.2870945Z     %contiguous_36 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_24,), kwargs = {})
2025-03-21T20:22:21.2871484Z     %view_49 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_36, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2872021Z     %transpose_61 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_49, 0, 1), kwargs = {})
2025-03-21T20:22:21.2872713Z     %contiguous_37 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_25,), kwargs = {})
2025-03-21T20:22:21.2873264Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_37, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2873794Z     %transpose_62 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_50, 0, 1), kwargs = {})
2025-03-21T20:22:21.2874289Z     %mul_12 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_60, 0.125), kwargs = {})
2025-03-21T20:22:21.2874848Z     %transpose_63 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_61, 1, 2), kwargs = {})
2025-03-21T20:22:21.2875365Z     %bmm_24 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_12, %transpose_63), kwargs = {})
2025-03-21T20:22:21.2875975Z     %to_27 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_24, torch.float32), kwargs = {})
2025-03-21T20:22:21.2876505Z     %unsqueeze_12 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2877159Z     %masked_fill_12 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_27, %unsqueeze_12, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2877687Z     %softmax_12 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_12, -1), kwargs = {})
2025-03-21T20:22:21.2878222Z     %type_as_12 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_12, %to_27), kwargs = {})
2025-03-21T20:22:21.2878796Z     %dropout_48 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_12, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2879343Z     %bmm_25 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_48, %transpose_62), kwargs = {})
2025-03-21T20:22:21.2879873Z     %transpose_64 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_25, 0, 1), kwargs = {})
2025-03-21T20:22:21.2880461Z     %contiguous_38 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_64,), kwargs = {})
2025-03-21T20:22:21.2881007Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_38, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2882496Z     %linear_63 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_51, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2883015Z     %slice_98 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_63, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2883617Z     %slice_99 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_63, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2884088Z     %tanh_12 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_99,), kwargs = {})
2025-03-21T20:22:21.2884615Z     %slice_100 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_12, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2885179Z     %dropout_49 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_98, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2885691Z     %cat_71 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_95, %slice_94],), kwargs = {})
2025-03-21T20:22:21.2886187Z     %add_24 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_49, %cat_71), kwargs = {})
2025-03-21T20:22:21.2887882Z     %layer_norm_37 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_24, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2889409Z     %linear_64 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_37, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2889889Z     %gelu_12 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_64,), kwargs = {})
2025-03-21T20:22:21.2890547Z     %dropout_50 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_12, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2892161Z     %linear_65 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_50, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2892755Z     %dropout_51 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_65, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2893249Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_51, %add_24), kwargs = {})
2025-03-21T20:22:21.2894772Z     %layer_norm_38 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_25, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___12___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2895387Z     %slice_101 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_38, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2895949Z     %slice_102 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_38, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2896469Z     %cat_72 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_102, %slice_101],), kwargs = {})
2025-03-21T20:22:21.2897991Z     %layer_norm_39 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_72, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2898595Z     %slice_103 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_39, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2899148Z     %slice_104 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_39, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2899773Z     %empty_14 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2900304Z     %to_28 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_14, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2900865Z     %cat_73 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_104, %slice_103, %to_28],), kwargs = {})
2025-03-21T20:22:21.2902388Z     %linear_66 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_73, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2902957Z     %cat_74 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_100, %slice_104, %slice_103],), kwargs = {})
2025-03-21T20:22:21.2904883Z     %linear_67 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_74, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2905408Z     %chunk_13 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_67, 2, 2), kwargs = {})
2025-03-21T20:22:21.2905864Z     %getitem_26 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_13, 0), kwargs = {})
2025-03-21T20:22:21.2906311Z     %getitem_27 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_13, 1), kwargs = {})
2025-03-21T20:22:21.2906844Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_66, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2907667Z     %transpose_65 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_52, 0, 1), kwargs = {})
2025-03-21T20:22:21.2908261Z     %contiguous_39 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_26,), kwargs = {})
2025-03-21T20:22:21.2908806Z     %view_53 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_39, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2909345Z     %transpose_66 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_53, 0, 1), kwargs = {})
2025-03-21T20:22:21.2909920Z     %contiguous_40 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_27,), kwargs = {})
2025-03-21T20:22:21.2910467Z     %view_54 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_40, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2911011Z     %transpose_67 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_54, 0, 1), kwargs = {})
2025-03-21T20:22:21.2911512Z     %mul_13 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_65, 0.125), kwargs = {})
2025-03-21T20:22:21.2912081Z     %transpose_68 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_66, 1, 2), kwargs = {})
2025-03-21T20:22:21.2912598Z     %bmm_26 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_13, %transpose_68), kwargs = {})
2025-03-21T20:22:21.2913095Z     %to_29 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_26, torch.float32), kwargs = {})
2025-03-21T20:22:21.2913615Z     %unsqueeze_13 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2914266Z     %masked_fill_13 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_29, %unsqueeze_13, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2914812Z     %softmax_13 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_13, -1), kwargs = {})
2025-03-21T20:22:21.2915347Z     %type_as_13 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_13, %to_29), kwargs = {})
2025-03-21T20:22:21.2915933Z     %dropout_52 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_13, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2916466Z     %bmm_27 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_52, %transpose_67), kwargs = {})
2025-03-21T20:22:21.2917003Z     %transpose_69 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_27, 0, 1), kwargs = {})
2025-03-21T20:22:21.2917584Z     %contiguous_41 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_69,), kwargs = {})
2025-03-21T20:22:21.2918146Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_41, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2919876Z     %linear_68 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_55, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2920414Z     %slice_105 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_68, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2921009Z     %slice_106 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_68, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2921490Z     %tanh_13 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_106,), kwargs = {})
2025-03-21T20:22:21.2922014Z     %slice_107 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_13, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2922730Z     %dropout_53 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_105, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2923261Z     %cat_75 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_102, %slice_101],), kwargs = {})
2025-03-21T20:22:21.2923763Z     %add_26 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_53, %cat_75), kwargs = {})
2025-03-21T20:22:21.2925283Z     %layer_norm_40 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_26, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2926810Z     %linear_69 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_40, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2927295Z     %gelu_13 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_69,), kwargs = {})
2025-03-21T20:22:21.2927861Z     %dropout_54 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_13, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2929363Z     %linear_70 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_54, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2929942Z     %dropout_55 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_70, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2930544Z     %add_27 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_55, %add_26), kwargs = {})
2025-03-21T20:22:21.2932089Z     %layer_norm_41 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_27, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___13___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2932698Z     %slice_108 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_41, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2933246Z     %slice_109 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_41, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2933764Z     %cat_76 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_109, %slice_108],), kwargs = {})
2025-03-21T20:22:21.2935382Z     %layer_norm_42 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_76, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2935993Z     %slice_110 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_42, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2936531Z     %slice_111 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_42, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2937156Z     %empty_15 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2937678Z     %to_30 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_15, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2938338Z     %cat_77 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_111, %slice_110, %to_30],), kwargs = {})
2025-03-21T20:22:21.2939860Z     %linear_71 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_77, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2940431Z     %cat_78 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_107, %slice_111, %slice_110],), kwargs = {})
2025-03-21T20:22:21.2941979Z     %linear_72 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_78, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2942511Z     %chunk_14 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_72, 2, 2), kwargs = {})
2025-03-21T20:22:21.2942956Z     %getitem_28 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_14, 0), kwargs = {})
2025-03-21T20:22:21.2943406Z     %getitem_29 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_14, 1), kwargs = {})
2025-03-21T20:22:21.2943931Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_71, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2944470Z     %transpose_70 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_56, 0, 1), kwargs = {})
2025-03-21T20:22:21.2945033Z     %contiguous_42 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_28,), kwargs = {})
2025-03-21T20:22:21.2945583Z     %view_57 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_42, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2946127Z     %transpose_71 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_57, 0, 1), kwargs = {})
2025-03-21T20:22:21.2946697Z     %contiguous_43 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_29,), kwargs = {})
2025-03-21T20:22:21.2947242Z     %view_58 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_43, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2947772Z     %transpose_72 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_58, 0, 1), kwargs = {})
2025-03-21T20:22:21.2948273Z     %mul_14 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_70, 0.125), kwargs = {})
2025-03-21T20:22:21.2948832Z     %transpose_73 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_71, 1, 2), kwargs = {})
2025-03-21T20:22:21.2949551Z     %bmm_28 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_14, %transpose_73), kwargs = {})
2025-03-21T20:22:21.2950037Z     %to_31 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_28, torch.float32), kwargs = {})
2025-03-21T20:22:21.2950572Z     %unsqueeze_14 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2951210Z     %masked_fill_14 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_31, %unsqueeze_14, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2951748Z     %softmax_14 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_14, -1), kwargs = {})
2025-03-21T20:22:21.2952282Z     %type_as_14 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_14, %to_31), kwargs = {})
2025-03-21T20:22:21.2952863Z     %dropout_56 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_14, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2953483Z     %bmm_29 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_56, %transpose_72), kwargs = {})
2025-03-21T20:22:21.2954017Z     %transpose_74 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_29, 0, 1), kwargs = {})
2025-03-21T20:22:21.2954611Z     %contiguous_44 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_74,), kwargs = {})
2025-03-21T20:22:21.2955153Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_44, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2956644Z     %linear_73 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_59, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2957180Z     %slice_112 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_73, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2957781Z     %slice_113 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_73, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2958254Z     %tanh_14 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_113,), kwargs = {})
2025-03-21T20:22:21.2958786Z     %slice_114 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_14, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2959356Z     %dropout_57 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_112, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2959882Z     %cat_79 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_109, %slice_108],), kwargs = {})
2025-03-21T20:22:21.2960373Z     %add_28 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_57, %cat_79), kwargs = {})
2025-03-21T20:22:21.2961926Z     %layer_norm_43 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_28, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.2963444Z     %linear_74 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_43, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.2963929Z     %gelu_14 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_74,), kwargs = {})
2025-03-21T20:22:21.2964488Z     %dropout_58 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_14, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2966191Z     %linear_75 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_58, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.2966769Z     %dropout_59 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_75, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2967267Z     %add_29 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_59, %add_28), kwargs = {})
2025-03-21T20:22:21.2968786Z     %layer_norm_44 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_29, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___14___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.2969523Z     %slice_115 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_44, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2970076Z     %slice_116 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_44, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2970695Z     %cat_80 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_116, %slice_115],), kwargs = {})
2025-03-21T20:22:21.2972203Z     %layer_norm_45 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_80, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.2972822Z     %slice_117 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_45, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2973377Z     %slice_118 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_45, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.2974006Z     %empty_16 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.2974530Z     %to_32 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_16, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.2975083Z     %cat_81 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_118, %slice_117, %to_32],), kwargs = {})
2025-03-21T20:22:21.2976607Z     %linear_76 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_81, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.2977187Z     %cat_82 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_114, %slice_118, %slice_117],), kwargs = {})
2025-03-21T20:22:21.2978749Z     %linear_77 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_82, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.2979276Z     %chunk_15 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_77, 2, 2), kwargs = {})
2025-03-21T20:22:21.2979721Z     %getitem_30 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_15, 0), kwargs = {})
2025-03-21T20:22:21.2980166Z     %getitem_31 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_15, 1), kwargs = {})
2025-03-21T20:22:21.2980815Z     %view_60 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_76, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2981356Z     %transpose_75 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_60, 0, 1), kwargs = {})
2025-03-21T20:22:21.2981934Z     %contiguous_45 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_30,), kwargs = {})
2025-03-21T20:22:21.2982479Z     %view_61 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_45, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2983020Z     %transpose_76 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_61, 0, 1), kwargs = {})
2025-03-21T20:22:21.2983587Z     %contiguous_46 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_31,), kwargs = {})
2025-03-21T20:22:21.2984140Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_46, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.2984760Z     %transpose_77 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_62, 0, 1), kwargs = {})
2025-03-21T20:22:21.2985270Z     %mul_15 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_75, 0.125), kwargs = {})
2025-03-21T20:22:21.2985832Z     %transpose_78 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_76, 1, 2), kwargs = {})
2025-03-21T20:22:21.2986344Z     %bmm_30 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_15, %transpose_78), kwargs = {})
2025-03-21T20:22:21.2986835Z     %to_33 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_30, torch.float32), kwargs = {})
2025-03-21T20:22:21.2987352Z     %unsqueeze_15 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.2988010Z     %masked_fill_15 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_33, %unsqueeze_15, -100000000.0), kwargs = {})
2025-03-21T20:22:21.2988541Z     %softmax_15 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_15, -1), kwargs = {})
2025-03-21T20:22:21.2989081Z     %type_as_15 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_15, %to_33), kwargs = {})
2025-03-21T20:22:21.2989661Z     %dropout_60 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_15, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2990200Z     %bmm_31 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_60, %transpose_77), kwargs = {})
2025-03-21T20:22:21.2990728Z     %transpose_79 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_31, 0, 1), kwargs = {})
2025-03-21T20:22:21.2991313Z     %contiguous_47 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_79,), kwargs = {})
2025-03-21T20:22:21.2991872Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_47, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.2993373Z     %linear_78 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_63, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.2993900Z     %slice_119 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_78, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.2994500Z     %slice_120 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_78, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.2994976Z     %tanh_15 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_120,), kwargs = {})
2025-03-21T20:22:21.2995607Z     %slice_121 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_15, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.2996189Z     %dropout_61 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_119, 0.1, False), kwargs = {})
2025-03-21T20:22:21.2996707Z     %cat_83 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_116, %slice_115],), kwargs = {})
2025-03-21T20:22:21.2997209Z     %add_30 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_61, %cat_83), kwargs = {})
2025-03-21T20:22:21.2998740Z     %layer_norm_46 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_30, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.3000384Z     %linear_79 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_46, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.3000873Z     %gelu_15 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_79,), kwargs = {})
2025-03-21T20:22:21.3001445Z     %dropout_62 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_15, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3002942Z     %linear_80 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_62, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.3003531Z     %dropout_63 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_80, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3004300Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_63, %add_30), kwargs = {})
2025-03-21T20:22:21.3005834Z     %layer_norm_47 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_31, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___15___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.3006445Z     %slice_122 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_47, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3006995Z     %slice_123 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_47, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3007521Z     %cat_84 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_123, %slice_122],), kwargs = {})
2025-03-21T20:22:21.3009039Z     %layer_norm_48 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_84, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.3009648Z     %slice_124 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_48, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3010203Z     %slice_125 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_48, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3010895Z     %empty_17 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.3011435Z     %to_34 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_17, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.3012258Z     %cat_85 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_125, %slice_124, %to_34],), kwargs = {})
2025-03-21T20:22:21.3013780Z     %linear_81 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_85, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.3014345Z     %cat_86 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_121, %slice_125, %slice_124],), kwargs = {})
2025-03-21T20:22:21.3016039Z     %linear_82 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_86, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.3016572Z     %chunk_16 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_82, 2, 2), kwargs = {})
2025-03-21T20:22:21.3017024Z     %getitem_32 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_16, 0), kwargs = {})
2025-03-21T20:22:21.3017467Z     %getitem_33 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_16, 1), kwargs = {})
2025-03-21T20:22:21.3017997Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_81, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3018533Z     %transpose_80 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_64, 0, 1), kwargs = {})
2025-03-21T20:22:21.3019097Z     %contiguous_48 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_32,), kwargs = {})
2025-03-21T20:22:21.3019654Z     %view_65 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_48, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3020186Z     %transpose_81 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_65, 0, 1), kwargs = {})
2025-03-21T20:22:21.3020763Z     %contiguous_49 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_33,), kwargs = {})
2025-03-21T20:22:21.3021301Z     %view_66 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_49, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3021837Z     %transpose_82 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_66, 0, 1), kwargs = {})
2025-03-21T20:22:21.3022325Z     %mul_16 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_80, 0.125), kwargs = {})
2025-03-21T20:22:21.3022891Z     %transpose_83 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_81, 1, 2), kwargs = {})
2025-03-21T20:22:21.3023417Z     %bmm_32 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_16, %transpose_83), kwargs = {})
2025-03-21T20:22:21.3023911Z     %to_35 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_32, torch.float32), kwargs = {})
2025-03-21T20:22:21.3024429Z     %unsqueeze_16 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.3025072Z     %masked_fill_16 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_35, %unsqueeze_16, -100000000.0), kwargs = {})
2025-03-21T20:22:21.3025609Z     %softmax_16 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_16, -1), kwargs = {})
2025-03-21T20:22:21.3026138Z     %type_as_16 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_16, %to_35), kwargs = {})
2025-03-21T20:22:21.3026853Z     %dropout_64 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_16, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3027387Z     %bmm_33 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_64, %transpose_82), kwargs = {})
2025-03-21T20:22:21.3027923Z     %transpose_84 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_33, 0, 1), kwargs = {})
2025-03-21T20:22:21.3028505Z     %contiguous_50 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_84,), kwargs = {})
2025-03-21T20:22:21.3029057Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_50, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.3030629Z     %linear_83 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_67, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.3031180Z     %slice_126 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_83, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.3031779Z     %slice_127 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_83, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3032264Z     %tanh_16 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_127,), kwargs = {})
2025-03-21T20:22:21.3032783Z     %slice_128 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_16, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.3033362Z     %dropout_65 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_126, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3033882Z     %cat_87 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_123, %slice_122],), kwargs = {})
2025-03-21T20:22:21.3034383Z     %add_32 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_65, %cat_87), kwargs = {})
2025-03-21T20:22:21.3035912Z     %layer_norm_49 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_32, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.3037435Z     %linear_84 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_49, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.3037917Z     %gelu_16 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_84,), kwargs = {})
2025-03-21T20:22:21.3038491Z     %dropout_66 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_16, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3040000Z     %linear_85 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_66, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.3040575Z     %dropout_67 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_85, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3041077Z     %add_33 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_67, %add_32), kwargs = {})
2025-03-21T20:22:21.3042595Z     %layer_norm_50 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_33, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___16___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.3043344Z     %slice_129 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_50, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3043886Z     %slice_130 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_50, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3044416Z     %cat_88 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_130, %slice_129],), kwargs = {})
2025-03-21T20:22:21.3045936Z     %layer_norm_51 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_88, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.3046632Z     %slice_131 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_51, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3047199Z     %slice_132 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_51, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3047821Z     %empty_18 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.3048350Z     %to_36 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_18, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.3048914Z     %cat_89 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_132, %slice_131, %to_36],), kwargs = {})
2025-03-21T20:22:21.3050535Z     %linear_86 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_89, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.3051124Z     %cat_90 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_128, %slice_132, %slice_131],), kwargs = {})
2025-03-21T20:22:21.3052678Z     %linear_87 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_90, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.3053204Z     %chunk_17 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_87, 2, 2), kwargs = {})
2025-03-21T20:22:21.3053650Z     %getitem_34 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_17, 0), kwargs = {})
2025-03-21T20:22:21.3054114Z     %getitem_35 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_17, 1), kwargs = {})
2025-03-21T20:22:21.3054645Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_86, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3055182Z     %transpose_85 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_68, 0, 1), kwargs = {})
2025-03-21T20:22:21.3055751Z     %contiguous_51 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_34,), kwargs = {})
2025-03-21T20:22:21.3056305Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_51, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3056842Z     %transpose_86 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_69, 0, 1), kwargs = {})
2025-03-21T20:22:21.3057419Z     %contiguous_52 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_35,), kwargs = {})
2025-03-21T20:22:21.3058076Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_52, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3058622Z     %transpose_87 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_70, 0, 1), kwargs = {})
2025-03-21T20:22:21.3059114Z     %mul_17 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_85, 0.125), kwargs = {})
2025-03-21T20:22:21.3059676Z     %transpose_88 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_86, 1, 2), kwargs = {})
2025-03-21T20:22:21.3060196Z     %bmm_34 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_17, %transpose_88), kwargs = {})
2025-03-21T20:22:21.3060684Z     %to_37 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_34, torch.float32), kwargs = {})
2025-03-21T20:22:21.3061221Z     %unsqueeze_17 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.3061968Z     %masked_fill_17 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_37, %unsqueeze_17, -100000000.0), kwargs = {})
2025-03-21T20:22:21.3062521Z     %softmax_17 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_17, -1), kwargs = {})
2025-03-21T20:22:21.3063053Z     %type_as_17 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_17, %to_37), kwargs = {})
2025-03-21T20:22:21.3063630Z     %dropout_68 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_17, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3064161Z     %bmm_35 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_68, %transpose_87), kwargs = {})
2025-03-21T20:22:21.3064691Z     %transpose_89 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_35, 0, 1), kwargs = {})
2025-03-21T20:22:21.3065285Z     %contiguous_53 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_89,), kwargs = {})
2025-03-21T20:22:21.3065838Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_53, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.3067321Z     %linear_88 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_71, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.3067861Z     %slice_133 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_88, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.3068451Z     %slice_134 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_88, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3068937Z     %tanh_17 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_134,), kwargs = {})
2025-03-21T20:22:21.3069467Z     %slice_135 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_17, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.3070037Z     %dropout_69 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_133, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3070562Z     %cat_91 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_130, %slice_129],), kwargs = {})
2025-03-21T20:22:21.3071054Z     %add_34 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_69, %cat_91), kwargs = {})
2025-03-21T20:22:21.3072580Z     %layer_norm_52 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_34, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.3074301Z     %linear_89 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_52, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.3074785Z     %gelu_17 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_89,), kwargs = {})
2025-03-21T20:22:21.3075347Z     %dropout_70 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_17, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3076855Z     %linear_90 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_70, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.3077534Z     %dropout_71 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_90, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3078041Z     %add_35 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_71, %add_34), kwargs = {})
2025-03-21T20:22:21.3079554Z     %layer_norm_53 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_35, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___17___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.3080169Z     %slice_136 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_53, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3080711Z     %slice_137 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_53, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3081248Z     %cat_92 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_137, %slice_136],), kwargs = {})
2025-03-21T20:22:21.3082747Z     %layer_norm_54 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_92, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.3083360Z     %slice_138 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_54, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3083902Z     %slice_139 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_54, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3084528Z     %empty_19 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.3085061Z     %to_38 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_19, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.3085621Z     %cat_93 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_139, %slice_138, %to_38],), kwargs = {})
2025-03-21T20:22:21.3087133Z     %linear_91 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_93, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.3087708Z     %cat_94 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_135, %slice_139, %slice_138],), kwargs = {})
2025-03-21T20:22:21.3089256Z     %linear_92 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_94, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.3089882Z     %chunk_18 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_92, 2, 2), kwargs = {})
2025-03-21T20:22:21.3090329Z     %getitem_36 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_18, 0), kwargs = {})
2025-03-21T20:22:21.3090880Z     %getitem_37 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_18, 1), kwargs = {})
2025-03-21T20:22:21.3091414Z     %view_72 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_91, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3091954Z     %transpose_90 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_72, 0, 1), kwargs = {})
2025-03-21T20:22:21.3092633Z     %contiguous_54 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_36,), kwargs = {})
2025-03-21T20:22:21.3093190Z     %view_73 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_54, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3093742Z     %transpose_91 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_73, 0, 1), kwargs = {})
2025-03-21T20:22:21.3094323Z     %contiguous_55 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_37,), kwargs = {})
2025-03-21T20:22:21.3094884Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_55, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3095423Z     %transpose_92 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_74, 0, 1), kwargs = {})
2025-03-21T20:22:21.3095928Z     %mul_18 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_90, 0.125), kwargs = {})
2025-03-21T20:22:21.3096506Z     %transpose_93 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_91, 1, 2), kwargs = {})
2025-03-21T20:22:21.3097027Z     %bmm_36 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_18, %transpose_93), kwargs = {})
2025-03-21T20:22:21.3097514Z     %to_39 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_36, torch.float32), kwargs = {})
2025-03-21T20:22:21.3098043Z     %unsqueeze_18 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:21.3098694Z     %masked_fill_18 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_39, %unsqueeze_18, -100000000.0), kwargs = {})
2025-03-21T20:22:21.3099230Z     %softmax_18 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_18, -1), kwargs = {})
2025-03-21T20:22:21.3099780Z     %type_as_18 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_18, %to_39), kwargs = {})
2025-03-21T20:22:21.3100360Z     %dropout_72 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_18, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3100902Z     %bmm_37 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_72, %transpose_92), kwargs = {})
2025-03-21T20:22:21.3101430Z     %transpose_94 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_37, 0, 1), kwargs = {})
2025-03-21T20:22:21.3102021Z     %contiguous_56 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_94,), kwargs = {})
2025-03-21T20:22:21.3102570Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_56, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:21.3104312Z     %linear_93 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_75, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:21.3105152Z     %slice_140 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_93, 0, 0, 39), kwargs = {})
2025-03-21T20:22:21.3105758Z     %slice_141 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_93, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3106236Z     %tanh_18 : [num_users=1] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_141,), kwargs = {})
2025-03-21T20:22:21.3106772Z     %slice_142 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%tanh_18, 0, 0, -1), kwargs = {})
2025-03-21T20:22:21.3107348Z     %dropout_73 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_140, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3108020Z     %cat_95 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_137, %slice_136],), kwargs = {})
2025-03-21T20:22:21.3108542Z     %add_36 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_73, %cat_95), kwargs = {})
2025-03-21T20:22:21.3110073Z     %layer_norm_55 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_36, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:21.3111612Z     %linear_94 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_55, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:21.3112104Z     %gelu_18 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_94,), kwargs = {})
2025-03-21T20:22:21.3112678Z     %dropout_74 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_18, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3114190Z     %linear_95 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_74, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:21.3114775Z     %dropout_75 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_95, 0.1, False), kwargs = {})
2025-03-21T20:22:21.3115271Z     %add_37 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_75, %add_36), kwargs = {})
2025-03-21T20:22:21.3116807Z     %layer_norm_56 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_37, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___18___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:21.3117423Z     %slice_143 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_56, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3117975Z     %slice_144 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_56, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3118497Z     %cat_96 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_144, %slice_143],), kwargs = {})
2025-03-21T20:22:21.3120017Z     %layer_norm_57 : [num_users=2] = call_function[target=torch.ops.aten.layer_norm.default](args = (%cat_96, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_input_bias), kwargs = {})
2025-03-21T20:22:21.3120766Z     %slice_145 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_57, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:21.3121313Z     %slice_146 : [num_users=2] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_57, 0, 0, 8), kwargs = {})
2025-03-21T20:22:21.3121934Z     %empty_20 : [num_users=1] = call_function[target=torch.ops.aten.empty.memory_format](args = ([0],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:22:21.3122468Z     %to_40 : [num_users=1] = call_function[target=torch.ops.aten.to.device](args = (%empty_20, cpu, torch.float32), kwargs = {})
2025-03-21T20:22:21.3123020Z     %cat_97 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_146, %slice_145, %to_40],), kwargs = {})
2025-03-21T20:22:21.3124627Z     %linear_96 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_97, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_query_bias), kwargs = {})
2025-03-21T20:22:21.3125209Z     %cat_98 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_142, %slice_146, %slice_145],), kwargs = {})
2025-03-21T20:22:21.3126774Z     %linear_97 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat_98, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_emb_to_key_value_bias), kwargs = {})
2025-03-21T20:22:21.3127287Z     %chunk_19 : [num_users=2] = call_function[target=torch.ops.aten.chunk.default](args = (%linear_97, 2, 2), kwargs = {})
2025-03-21T20:22:21.3127744Z     %getitem_38 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_19, 0), kwargs = {})
2025-03-21T20:22:21.3128204Z     %getitem_39 : [num_users=1] = call_function[target=operator.getitem](args = (%chunk_19, 1), kwargs = {})
2025-03-21T20:22:21.3128737Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_96, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3129269Z     %transpose_95 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_76, 0, 1), kwargs = {})
2025-03-21T20:22:21.3129841Z     %contiguous_57 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_38,), kwargs = {})
2025-03-21T20:22:21.3130390Z     %view_77 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_57, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3131025Z     %transpose_96 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_77, 0, 1), kwargs = {})
2025-03-21T20:22:21.3131610Z     %contiguous_58 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%getitem_39,), kwargs = {})
2025-03-21T20:22:21.3132154Z     %view_78 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_58, [-1, 8, 64]), kwargs = {})
2025-03-21T20:22:21.3132691Z     %transpose_97 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_78, 0, 1), kwargs = {})
2025-03-21T20:22:21.3133180Z     %mul_19 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%transpose_95, 0.125), kwargs = {})
2025-03-21T20:22:21.3133745Z     %transpose_98 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%transpose_96, 1, 2), kwargs = {})
2025-03-21T20:22:44.3542457Z     %bmm_38 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%mul_19, %transpose_98), kwargs = {})
2025-03-21T20:22:44.3543716Z     %to_41 : [num_users=2] = call_function[target=torch.ops.aten.to.dtype](args = (%bmm_38, torch.float32), kwargs = {})
2025-03-21T20:22:44.3545561Z     %unsqueeze_19 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%to, 0), kwargs = {})
2025-03-21T20:22:44.3546942Z     %masked_fill_19 : [num_users=1] = call_function[target=torch.ops.aten.masked_fill.Scalar](args = (%to_41, %unsqueeze_19, -100000000.0), kwargs = {})
2025-03-21T20:22:44.3548277Z     %softmax_19 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%masked_fill_19, -1), kwargs = {})
2025-03-21T20:22:44.3549529Z     %type_as_19 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%softmax_19, %to_41), kwargs = {})
2025-03-21T20:22:44.3550797Z     %dropout_76 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%type_as_19, 0.1, False), kwargs = {})
2025-03-21T20:22:44.3552147Z     %bmm_39 : [num_users=1] = call_function[target=torch.ops.aten.bmm.default](args = (%dropout_76, %transpose_97), kwargs = {})
2025-03-21T20:22:44.3553579Z     %transpose_99 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%bmm_39, 0, 1), kwargs = {})
2025-03-21T20:22:44.3554911Z     %contiguous_59 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%transpose_99,), kwargs = {})
2025-03-21T20:22:44.3556203Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_59, [39, 1, 512]), kwargs = {})
2025-03-21T20:22:44.3558437Z     %linear_98 : [num_users=2] = call_function[target=torch.ops.aten.linear.default](args = (%view_79, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___attention_out_proj_bias), kwargs = {})
2025-03-21T20:22:44.3560659Z     %slice_147 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_98, 0, 0, 39), kwargs = {})
2025-03-21T20:22:44.3561951Z     %slice_148 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%linear_98, 0, 39, 9223372036854775807), kwargs = {})
2025-03-21T20:22:44.3563201Z     %tanh_19 : [num_users=0] = call_function[target=torch.ops.aten.tanh.default](args = (%slice_148,), kwargs = {})
2025-03-21T20:22:44.3564415Z     %dropout_77 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%slice_147, 0.1, False), kwargs = {})
2025-03-21T20:22:44.3565736Z     %cat_99 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%slice_144, %slice_143],), kwargs = {})
2025-03-21T20:22:44.3566910Z     %add_38 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_77, %cat_99), kwargs = {})
2025-03-21T20:22:44.3569119Z     %layer_norm_58 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_38, [512], %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___0___bias), kwargs = {})
2025-03-21T20:22:44.3572592Z     %linear_99 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%layer_norm_58, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___1___bias), kwargs = {})
2025-03-21T20:22:44.3574782Z     %gelu_19 : [num_users=1] = call_function[target=torch.ops.aten.gelu.default](args = (%linear_99,), kwargs = {})
2025-03-21T20:22:44.3576027Z     %dropout_78 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%gelu_19, 0.1, False), kwargs = {})
2025-03-21T20:22:44.3578259Z     %linear_100 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout_78, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___weight, %p_getattr_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___pos_ff___4___bias), kwargs = {})
2025-03-21T20:22:44.3580675Z     %dropout_79 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_100, 0.1, False), kwargs = {})
2025-03-21T20:22:44.3581898Z     %add_39 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_79, %add_38), kwargs = {})
2025-03-21T20:22:44.3584071Z     %layer_norm_59 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%add_39, [512], %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_weight, %p_getattr_l__self___rnnt_transcriber_transformer_emformer_layers___19___layer_norm_output_bias), kwargs = {})
2025-03-21T20:22:44.3586337Z     %slice_149 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%layer_norm_59, 0, 8, 9223372036854775807), kwargs = {})
2025-03-21T20:22:44.3587668Z     %permute_1 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%slice_149, [1, 0, 2]), kwargs = {})
2025-03-21T20:22:44.3589427Z     %linear_101 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%permute_1, %p_rnnt_transcriber_output_linear_weight, %p_rnnt_transcriber_output_linear_bias), kwargs = {})
2025-03-21T20:22:44.3591471Z     %layer_norm_60 : [num_users=1] = call_function[target=torch.ops.aten.layer_norm.default](args = (%linear_101, [1024], %p_rnnt_transcriber_layer_norm_weight, %p_rnnt_transcriber_layer_norm_bias), kwargs = {})
2025-03-21T20:22:44.3592722Z     return (layer_norm_60, div)
2025-03-21T20:22:44.3594520Z /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.)
2025-03-21T20:22:44.3596371Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:44.3596930Z [INFO 2025-03-21 20:22:44,352 utils.py:70] Exported graph:
2025-03-21T20:22:44.3597467Z ExportedProgram:
2025-03-21T20:22:44.3597873Z     class GraphModule(torch.nn.Module):
2025-03-21T20:22:44.3740903Z         def forward(self, p_rnnt_transcriber_input_linear_weight: "f32[128, 80]", p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_3_attention_out_proj_weight: "f32[512, 512]", 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p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_weight: "f32[1024, 512]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_bias: "f32[1024]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_weight: "f32[512, 512]", p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_weight: "f32[2048, 512]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_bias: "f32[2048]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_weight: "f32[512, 2048]", p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_bias: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_weight: "f32[512]", p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_bias: "f32[512]", p_rnnt_transcriber_output_linear_weight: "f32[1024, 512]", p_rnnt_transcriber_output_linear_bias: "f32[1024]", p_rnnt_transcriber_layer_norm_weight: "f32[1024]", p_rnnt_transcriber_layer_norm_bias: "f32[1024]", _lifted_tensor_constant0: "i64[]", _lifted_tensor_constant1: "i64[]", _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[]", transcribe_inputs_0: "f32[1, 128, 80]", transcribe_inputs_1: "i64[1]"):
2025-03-21T20:22:44.3884101Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/rnnt.py:242 in forward, code: input_linear_out = self.input_linear(input)
2025-03-21T20:22:44.3885986Z             aten_permute_copy_default: "f32[80, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_input_linear_weight, [1, 0]);  p_rnnt_transcriber_input_linear_weight = None
2025-03-21T20:22:44.3887799Z             aten_view_copy_default: "f32[128, 80]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(transcribe_inputs_0, [128, 80]);  transcribe_inputs_0 = None
2025-03-21T20:22:44.3889613Z             aten_mm_default: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_mm_default(aten_view_copy_default, aten_permute_copy_default);  aten_view_copy_default = aten_permute_copy_default = None
2025-03-21T20:22:44.3891792Z             aten_view_copy_default_1: "f32[1, 128, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_mm_default, [1, 128, 128]);  aten_mm_default = None
2025-03-21T20:22:44.3892821Z             
2025-03-21T20:22:44.3893894Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/rnnt.py:47 in forward, code: lengths = lengths.div(self.stride, rounding_mode="trunc")
2025-03-21T20:22:44.3895944Z             aten_div_tensor_mode: "i64[1]" = executorch_exir_dialects_edge__ops_aten_div_Tensor_mode(transcribe_inputs_1, _lifted_tensor_constant0, rounding_mode = 'trunc');  transcribe_inputs_1 = _lifted_tensor_constant0 = None
2025-03-21T20:22:44.3897254Z             
2025-03-21T20:22:44.3898647Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/rnnt.py:50 in forward, code: output = input.reshape(B, T_max, D * self.stride)
2025-03-21T20:22:44.3900374Z             aten_view_copy_default_2: "f32[1, 32, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_1, [1, 32, 512]);  aten_view_copy_default_1 = None
2025-03-21T20:22:44.3901429Z             
2025-03-21T20:22:44.3902369Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:730 in forward, code: input = input.permute(1, 0, 2)
2025-03-21T20:22:44.3904279Z             aten_permute_copy_default_1: "f32[32, 1, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_2, [1, 0, 2]);  aten_view_copy_default_2 = None
2025-03-21T20:22:44.3905375Z             
2025-03-21T20:22:44.3906454Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:621 in _gen_right_context, code: right_context_blocks.append(input[start:end])
2025-03-21T20:22:44.3908360Z             aten_slice_copy_tensor: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 4, 5)
2025-03-21T20:22:44.3909760Z             aten_slice_copy_tensor_1: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 8, 9)
2025-03-21T20:22:44.3911153Z             aten_slice_copy_tensor_2: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 12, 13)
2025-03-21T20:22:44.3912549Z             aten_slice_copy_tensor_3: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 16, 17)
2025-03-21T20:22:44.3913937Z             aten_slice_copy_tensor_4: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 20, 21)
2025-03-21T20:22:44.3915340Z             aten_slice_copy_tensor_5: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 24, 25)
2025-03-21T20:22:44.3916721Z             aten_slice_copy_tensor_6: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 28, 29)
2025-03-21T20:22:44.3917621Z             
2025-03-21T20:22:44.3918811Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:622 in _gen_right_context, code: right_context_blocks.append(input[T - self.right_context_length :])
2025-03-21T20:22:44.3920652Z             aten_slice_copy_tensor_7: "f32[1, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 31, 9223372036854775807)
2025-03-21T20:22:44.3921625Z             
2025-03-21T20:22:44.3922647Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:623 in _gen_right_context, code: return torch.cat(right_context_blocks)
2025-03-21T20:22:44.3926051Z             aten_cat_default: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor, aten_slice_copy_tensor_1, aten_slice_copy_tensor_2, aten_slice_copy_tensor_3, aten_slice_copy_tensor_4, aten_slice_copy_tensor_5, aten_slice_copy_tensor_6, aten_slice_copy_tensor_7]);  aten_slice_copy_tensor = aten_slice_copy_tensor_1 = aten_slice_copy_tensor_2 = aten_slice_copy_tensor_3 = aten_slice_copy_tensor_4 = aten_slice_copy_tensor_5 = aten_slice_copy_tensor_6 = aten_slice_copy_tensor_7 = None
2025-03-21T20:22:44.3928726Z             
2025-03-21T20:22:44.3929824Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:732 in forward, code: utterance = input[: input.size(0) - self.right_context_length]
2025-03-21T20:22:44.3931789Z             aten_slice_copy_tensor_8: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_permute_copy_default_1, 0, 0, 31);  aten_permute_copy_default_1 = None
2025-03-21T20:22:44.3933131Z             
2025-03-21T20:22:44.3934225Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3936064Z             aten_full_default: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3937191Z             
2025-03-21T20:22:44.3938239Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3940189Z             aten_full_default_1: "f32[1, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3941325Z             
2025-03-21T20:22:44.3942455Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3944306Z             aten_full_default_2: "f32[1, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 4], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3945429Z             
2025-03-21T20:22:44.3946469Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3948335Z             aten_full_default_3: "f32[1, 27]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 27], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3949463Z             
2025-03-21T20:22:44.3950517Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.3952713Z             aten_cat_default_1: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default, aten_full_default_1, aten_full_default_2, aten_full_default_3], 1);  aten_full_default = aten_full_default_1 = aten_full_default_2 = aten_full_default_3 = None
2025-03-21T20:22:44.3954186Z             
2025-03-21T20:22:44.3955203Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3957021Z             aten_full_default_4: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3958157Z             
2025-03-21T20:22:44.3959203Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3961067Z             aten_full_default_5: "f32[4, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3962193Z             
2025-03-21T20:22:44.3963204Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3965034Z             aten_full_default_6: "f32[4, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 4], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3966161Z             
2025-03-21T20:22:44.3967201Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3969287Z             aten_full_default_7: "f32[4, 27]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 27], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3970742Z             
2025-03-21T20:22:44.3971790Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.3974022Z             aten_cat_default_2: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_4, aten_full_default_5, aten_full_default_6, aten_full_default_7], 1);  aten_full_default_4 = aten_full_default_5 = aten_full_default_6 = aten_full_default_7 = None
2025-03-21T20:22:44.3975526Z             
2025-03-21T20:22:44.3976771Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3978725Z             aten_full_default_8: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3979911Z             
2025-03-21T20:22:44.3980929Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3982774Z             aten_full_default_9: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3983913Z             
2025-03-21T20:22:44.3984971Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3986863Z             aten_full_default_10: "f32[1, 6]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 6], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3988006Z             
2025-03-21T20:22:44.3989016Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.3990858Z             aten_full_default_11: "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)
2025-03-21T20:22:44.3991997Z             
2025-03-21T20:22:44.3993044Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.3994954Z             aten_full_default_12: "f32[1, 23]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 23], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.3996104Z             
2025-03-21T20:22:44.3997154Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.3999611Z             aten_cat_default_3: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_8, aten_full_default_9, aten_full_default_10, aten_full_default_11, aten_full_default_12], 1);  aten_full_default_8 = aten_full_default_9 = aten_full_default_10 = aten_full_default_11 = aten_full_default_12 = None
2025-03-21T20:22:44.4001334Z             
2025-03-21T20:22:44.4002390Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4004636Z             aten_full_default_13: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4005784Z             
2025-03-21T20:22:44.4006797Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4008638Z             aten_full_default_14: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4009764Z             
2025-03-21T20:22:44.4011173Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4013063Z             aten_full_default_15: "f32[4, 6]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 6], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4014194Z             
2025-03-21T20:22:44.4015212Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4017045Z             aten_full_default_16: "f32[4, 8]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 8], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4018176Z             
2025-03-21T20:22:44.4019218Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4021107Z             aten_full_default_17: "f32[4, 23]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 23], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4022248Z             
2025-03-21T20:22:44.4023283Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4025733Z             aten_cat_default_4: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_13, aten_full_default_14, aten_full_default_15, aten_full_default_16, aten_full_default_17], 1);  aten_full_default_13 = aten_full_default_14 = aten_full_default_15 = aten_full_default_16 = aten_full_default_17 = None
2025-03-21T20:22:44.4027450Z             
2025-03-21T20:22:44.4028500Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4030373Z             aten_full_default_18: "f32[1, 2]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 2], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4031561Z             
2025-03-21T20:22:44.4032628Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4034465Z             aten_full_default_19: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4035594Z             
2025-03-21T20:22:44.4036636Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4038794Z             aten_full_default_20: "f32[1, 5]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 5], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4039935Z             
2025-03-21T20:22:44.4040953Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4042796Z             aten_full_default_21: "f32[1, 12]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 12], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4043934Z             
2025-03-21T20:22:44.4044990Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4047000Z             aten_full_default_22: "f32[1, 19]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 19], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4048153Z             
2025-03-21T20:22:44.4049200Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4051767Z             aten_cat_default_5: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_18, aten_full_default_19, aten_full_default_20, aten_full_default_21, aten_full_default_22], 1);  aten_full_default_18 = aten_full_default_19 = aten_full_default_20 = aten_full_default_21 = aten_full_default_22 = None
2025-03-21T20:22:44.4053488Z             
2025-03-21T20:22:44.4054543Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4056422Z             aten_full_default_23: "f32[4, 2]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 2], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4057558Z             
2025-03-21T20:22:44.4058563Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4060404Z             aten_full_default_24: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4061538Z             
2025-03-21T20:22:44.4062582Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4064466Z             aten_full_default_25: "f32[4, 5]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 5], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4065602Z             
2025-03-21T20:22:44.4066613Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4068460Z             aten_full_default_26: "f32[4, 12]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 12], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4069629Z             
2025-03-21T20:22:44.4070782Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4072858Z             aten_full_default_27: "f32[4, 19]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 19], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4074004Z             
2025-03-21T20:22:44.4075047Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4077504Z             aten_cat_default_6: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_23, aten_full_default_24, aten_full_default_25, aten_full_default_26, aten_full_default_27], 1);  aten_full_default_23 = aten_full_default_24 = aten_full_default_25 = aten_full_default_26 = aten_full_default_27 = None
2025-03-21T20:22:44.4079224Z             
2025-03-21T20:22:44.4080408Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4082304Z             aten_full_default_28: "f32[1, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4083429Z             
2025-03-21T20:22:44.4084444Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4086277Z             aten_full_default_29: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4087409Z             
2025-03-21T20:22:44.4088459Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4090337Z             aten_full_default_30: "f32[1, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 4], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4091588Z             
2025-03-21T20:22:44.4092600Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4094454Z             aten_full_default_31: "f32[1, 16]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 16], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4095603Z             
2025-03-21T20:22:44.4096657Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4098549Z             aten_full_default_32: "f32[1, 15]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 15], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4099704Z             
2025-03-21T20:22:44.4100752Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4103202Z             aten_cat_default_7: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_28, aten_full_default_29, aten_full_default_30, aten_full_default_31, aten_full_default_32], 1);  aten_full_default_28 = aten_full_default_29 = aten_full_default_30 = aten_full_default_31 = aten_full_default_32 = None
2025-03-21T20:22:44.4105111Z             
2025-03-21T20:22:44.4106153Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4108355Z             aten_full_default_33: "f32[4, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4109495Z             
2025-03-21T20:22:44.4110504Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4112338Z             aten_full_default_34: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4113481Z             
2025-03-21T20:22:44.4114524Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4116590Z             aten_full_default_35: "f32[4, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 4], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4117741Z             
2025-03-21T20:22:44.4118768Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4120610Z             aten_full_default_36: "f32[4, 16]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 16], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4121754Z             
2025-03-21T20:22:44.4122800Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4124698Z             aten_full_default_37: "f32[4, 15]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 15], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4125839Z             
2025-03-21T20:22:44.4126877Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4129325Z             aten_cat_default_8: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_33, aten_full_default_34, aten_full_default_35, aten_full_default_36, aten_full_default_37], 1);  aten_full_default_33 = aten_full_default_34 = aten_full_default_35 = aten_full_default_36 = aten_full_default_37 = None
2025-03-21T20:22:44.4131150Z             
2025-03-21T20:22:44.4132202Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4134081Z             aten_full_default_38: "f32[1, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 4], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4135216Z             
2025-03-21T20:22:44.4136230Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4138073Z             aten_full_default_39: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4139213Z             
2025-03-21T20:22:44.4140250Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4142307Z             aten_full_default_40: "f32[1, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4143449Z             
2025-03-21T20:22:44.4144457Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4146301Z             aten_full_default_41: "f32[1, 20]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 20], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4147441Z             
2025-03-21T20:22:44.4148484Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4150465Z             aten_full_default_42: "f32[1, 11]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 11], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4151626Z             
2025-03-21T20:22:44.4152667Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4155116Z             aten_cat_default_9: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_38, aten_full_default_39, aten_full_default_40, aten_full_default_41, aten_full_default_42], 1);  aten_full_default_38 = aten_full_default_39 = aten_full_default_40 = aten_full_default_41 = aten_full_default_42 = None
2025-03-21T20:22:44.4156831Z             
2025-03-21T20:22:44.4157872Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4159752Z             aten_full_default_43: "f32[4, 4]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 4], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4160891Z             
2025-03-21T20:22:44.4161894Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4163732Z             aten_full_default_44: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4164869Z             
2025-03-21T20:22:44.4165915Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4167796Z             aten_full_default_45: "f32[4, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4168928Z             
2025-03-21T20:22:44.4169935Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4171878Z             aten_full_default_46: "f32[4, 20]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 20], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4173015Z             
2025-03-21T20:22:44.4174067Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4175950Z             aten_full_default_47: "f32[4, 11]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 11], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4177276Z             
2025-03-21T20:22:44.4178313Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4180759Z             aten_cat_default_10: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_43, aten_full_default_44, aten_full_default_45, aten_full_default_46, aten_full_default_47], 1);  aten_full_default_43 = aten_full_default_44 = aten_full_default_45 = aten_full_default_46 = aten_full_default_47 = None
2025-03-21T20:22:44.4182475Z             
2025-03-21T20:22:44.4183520Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4185514Z             aten_full_default_48: "f32[1, 5]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 5], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4186662Z             
2025-03-21T20:22:44.4187678Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4189503Z             aten_full_default_49: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4190632Z             
2025-03-21T20:22:44.4191670Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4193547Z             aten_full_default_50: "f32[1, 2]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 2], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4194682Z             
2025-03-21T20:22:44.4195681Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4197523Z             aten_full_default_51: "f32[1, 24]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 24], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4198654Z             
2025-03-21T20:22:44.4199701Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4201567Z             aten_full_default_52: "f32[1, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4202708Z             
2025-03-21T20:22:44.4203752Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4206433Z             aten_cat_default_11: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_48, aten_full_default_49, aten_full_default_50, aten_full_default_51, aten_full_default_52], 1);  aten_full_default_48 = aten_full_default_49 = aten_full_default_50 = aten_full_default_51 = aten_full_default_52 = None
2025-03-21T20:22:44.4208149Z             
2025-03-21T20:22:44.4209199Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4211463Z             aten_full_default_53: "f32[4, 5]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 5], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4212604Z             
2025-03-21T20:22:44.4213617Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4215454Z             aten_full_default_54: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4216593Z             
2025-03-21T20:22:44.4217639Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4219715Z             aten_full_default_55: "f32[4, 2]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 2], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4220879Z             
2025-03-21T20:22:44.4221908Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4223759Z             aten_full_default_56: "f32[4, 24]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 24], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4224896Z             
2025-03-21T20:22:44.4225936Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4227825Z             aten_full_default_57: "f32[4, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4228977Z             
2025-03-21T20:22:44.4230012Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4232466Z             aten_cat_default_12: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_53, aten_full_default_54, aten_full_default_55, aten_full_default_56, aten_full_default_57], 1);  aten_full_default_53 = aten_full_default_54 = aten_full_default_55 = aten_full_default_56 = aten_full_default_57 = None
2025-03-21T20:22:44.4234180Z             
2025-03-21T20:22:44.4235224Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4237106Z             aten_full_default_58: "f32[1, 6]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 6], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4238253Z             
2025-03-21T20:22:44.4239269Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4241102Z             aten_full_default_59: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4242248Z             
2025-03-21T20:22:44.4243291Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4245169Z             aten_full_default_60: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4246508Z             
2025-03-21T20:22:44.4247524Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4249362Z             aten_full_default_61: "f32[1, 28]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 28], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4250599Z             
2025-03-21T20:22:44.4251654Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4253622Z             aten_full_default_62: "f32[1, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4254772Z             
2025-03-21T20:22:44.4255814Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4258269Z             aten_cat_default_13: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_58, aten_full_default_59, aten_full_default_60, aten_full_default_61, aten_full_default_62], 1);  aten_full_default_58 = aten_full_default_59 = aten_full_default_60 = aten_full_default_61 = aten_full_default_62 = None
2025-03-21T20:22:44.4259976Z             
2025-03-21T20:22:44.4261022Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4262901Z             aten_full_default_63: "f32[4, 6]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 6], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4264036Z             
2025-03-21T20:22:44.4265063Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4266905Z             aten_full_default_64: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4268038Z             
2025-03-21T20:22:44.4269084Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4270982Z             aten_full_default_65: "f32[4, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 1], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4272706Z             
2025-03-21T20:22:44.4273735Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4275582Z             aten_full_default_66: "f32[4, 28]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 28], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4276712Z             
2025-03-21T20:22:44.4277756Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4279638Z             aten_full_default_67: "f32[4, 3]" = executorch_exir_dialects_edge__ops_aten_full_default([4, 3], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4280941Z             
2025-03-21T20:22:44.4281979Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4284419Z             aten_cat_default_14: "f32[4, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_63, aten_full_default_64, aten_full_default_65, aten_full_default_66, aten_full_default_67], 1);  aten_full_default_63 = aten_full_default_64 = aten_full_default_65 = aten_full_default_66 = aten_full_default_67 = None
2025-03-21T20:22:44.4286127Z             
2025-03-21T20:22:44.4287170Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4289152Z             aten_full_default_68: "f32[1, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4290315Z             
2025-03-21T20:22:44.4291448Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4293295Z             aten_full_default_69: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4295173Z             aten_full_default_70: "f32[1, 31]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 31], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4296321Z             
2025-03-21T20:22:44.4297423Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4299545Z             aten_cat_default_15: "f32[1, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_68, aten_full_default_69, aten_full_default_70], 1);  aten_full_default_68 = aten_full_default_69 = aten_full_default_70 = None
2025-03-21T20:22:44.4300925Z             
2025-03-21T20:22:44.4302001Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:70 in <listcomp>, code: else torch.zeros(num_rows, col_width, device=device)
2025-03-21T20:22:44.4304118Z             aten_full_default_71: "f32[3, 7]" = executorch_exir_dialects_edge__ops_aten_full_default([3, 7], 0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4305266Z             
2025-03-21T20:22:44.4306287Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:68 in <listcomp>, code: torch.ones(num_rows, col_width, device=device)
2025-03-21T20:22:44.4308135Z             aten_full_default_72: "f32[3, 1]" = executorch_exir_dialects_edge__ops_aten_full_default([3, 1], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4310001Z             aten_full_default_73: "f32[3, 31]" = executorch_exir_dialects_edge__ops_aten_full_default([3, 31], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:22:44.4311158Z             
2025-03-21T20:22:44.4312199Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:73 in _gen_attention_mask_block, code: return torch.cat(mask_block, dim=1)
2025-03-21T20:22:44.4314226Z             aten_cat_default_16: "f32[3, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_full_default_71, aten_full_default_72, aten_full_default_73], 1);  aten_full_default_71 = aten_full_default_72 = aten_full_default_73 = None
2025-03-21T20:22:44.4315871Z             
2025-03-21T20:22:44.4317121Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:706 in <listcomp>, code: attention_mask = (1 - torch.cat([torch.cat(mask) for mask in masks_to_concat])).to(torch.bool)
2025-03-21T20:22:44.4320255Z             aten_cat_default_17: "f32[8, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_cat_default_1, aten_cat_default_3, aten_cat_default_5, aten_cat_default_7, aten_cat_default_9, aten_cat_default_11, aten_cat_default_13, aten_cat_default_15]);  aten_cat_default_1 = aten_cat_default_3 = aten_cat_default_5 = aten_cat_default_7 = aten_cat_default_9 = aten_cat_default_11 = aten_cat_default_13 = aten_cat_default_15 = None
2025-03-21T20:22:44.4324415Z             aten_cat_default_18: "f32[31, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_cat_default_2, aten_cat_default_4, aten_cat_default_6, aten_cat_default_8, aten_cat_default_10, aten_cat_default_12, aten_cat_default_14, aten_cat_default_16]);  aten_cat_default_2 = aten_cat_default_4 = aten_cat_default_6 = aten_cat_default_8 = aten_cat_default_10 = aten_cat_default_12 = aten_cat_default_14 = aten_cat_default_16 = None
2025-03-21T20:22:44.4326625Z             
2025-03-21T20:22:44.4327907Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:706 in _gen_attention_mask, code: attention_mask = (1 - torch.cat([torch.cat(mask) for mask in masks_to_concat])).to(torch.bool)
2025-03-21T20:22:44.4329958Z             aten_cat_default_19: "f32[39, 39]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_cat_default_17, aten_cat_default_18]);  aten_cat_default_17 = aten_cat_default_18 = None
2025-03-21T20:22:44.4331864Z             aten_sub_tensor: "f32[39, 39]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(_lifted_tensor_constant1, aten_cat_default_19);  _lifted_tensor_constant1 = aten_cat_default_19 = None
2025-03-21T20:22:44.4333573Z             aten__to_copy_default: "b8[39, 39]" = executorch_exir_dialects_edge__ops_aten__to_copy_default(aten_sub_tensor, dtype = torch.bool);  aten_sub_tensor = None
2025-03-21T20:22:44.4351517Z             
2025-03-21T20:22:44.4352892Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.4354765Z             aten_cat_default_20: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_cat_default, aten_slice_copy_tensor_8])
2025-03-21T20:22:44.4357861Z             aten_native_layer_norm_default = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_20, [512], p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_bias, 1e-05);  aten_cat_default_20 = p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_bias = None
2025-03-21T20:22:44.4360745Z             getitem: "f32[39, 1, 512]" = aten_native_layer_norm_default[0];  aten_native_layer_norm_default = None
2025-03-21T20:22:44.4361448Z             
2025-03-21T20:22:44.4362582Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.4364253Z             aten_slice_copy_tensor_9: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4365132Z             
2025-03-21T20:22:44.4366252Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.4368341Z             aten_slice_copy_tensor_10: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem, 0, 0, 8);  getitem = None
2025-03-21T20:22:44.4369227Z             
2025-03-21T20:22:44.4370497Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.4372291Z             aten_cat_default_21: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_10, aten_slice_copy_tensor_9])
2025-03-21T20:22:44.4373793Z             aten_view_copy_default_3: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_21, [39, 512]);  aten_cat_default_21 = None
2025-03-21T20:22:44.4376228Z             aten_permute_copy_default_2: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_weight = None
2025-03-21T20:22:44.4379585Z             aten_addmm_default: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_bias, aten_view_copy_default_3, aten_permute_copy_default_2);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_bias = aten_view_copy_default_3 = aten_permute_copy_default_2 = None
2025-03-21T20:22:44.4382257Z             aten_view_copy_default_4: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default, [39, 1, 512]);  aten_addmm_default = None
2025-03-21T20:22:44.4383269Z             
2025-03-21T20:22:44.4384573Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.4386765Z             aten_cat_default_22: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_10, aten_slice_copy_tensor_9]);  aten_slice_copy_tensor_10 = aten_slice_copy_tensor_9 = None
2025-03-21T20:22:44.4388550Z             aten_view_copy_default_5: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_22, [39, 512]);  aten_cat_default_22 = None
2025-03-21T20:22:44.4390839Z             aten_permute_copy_default_3: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.4394278Z             aten_addmm_default_1: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_bias, aten_view_copy_default_5, aten_permute_copy_default_3);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_bias = aten_view_copy_default_5 = aten_permute_copy_default_3 = None
2025-03-21T20:22:44.4397030Z             aten_view_copy_default_6: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_1, [39, 1, 1024]);  aten_addmm_default_1 = None
2025-03-21T20:22:44.4398793Z             aten_split_with_sizes_copy_default = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_6, [512, 512], 2);  aten_view_copy_default_6 = None
2025-03-21T20:22:44.4400071Z             getitem_1: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default[0]
2025-03-21T20:22:44.4400945Z             getitem_2: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default[1];  aten_split_with_sizes_copy_default = None
2025-03-21T20:22:44.4401679Z             
2025-03-21T20:22:44.4403137Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.4405564Z             aten_view_copy_default_7: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_4, [-1, 8, 64]);  aten_view_copy_default_4 = None
2025-03-21T20:22:44.4407286Z             aten_permute_copy_default_4: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_7, [1, 0, 2]);  aten_view_copy_default_7 = None
2025-03-21T20:22:44.4408985Z             aten_clone_default: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_1, memory_format = torch.contiguous_format);  getitem_1 = None
2025-03-21T20:22:44.4410672Z             aten_view_copy_default_8: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [-1, 8, 64]);  aten_clone_default = None
2025-03-21T20:22:44.4412666Z             aten_permute_copy_default_5: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_8, [1, 0, 2]);  aten_view_copy_default_8 = None
2025-03-21T20:22:44.4414401Z             aten_clone_default_1: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_2, memory_format = torch.contiguous_format);  getitem_2 = None
2025-03-21T20:22:44.4416031Z             aten_view_copy_default_9: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_1, [-1, 8, 64]);  aten_clone_default_1 = None
2025-03-21T20:22:44.4417707Z             aten_permute_copy_default_6: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_9, [1, 0, 2]);  aten_view_copy_default_9 = None
2025-03-21T20:22:44.4418783Z             
2025-03-21T20:22:44.4420074Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.4422253Z             aten_mul_tensor: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_4, _lifted_tensor_constant2);  aten_permute_copy_default_4 = _lifted_tensor_constant2 = None
2025-03-21T20:22:44.4424172Z             aten_permute_copy_default_7: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_5, [0, 2, 1]);  aten_permute_copy_default_5 = None
2025-03-21T20:22:44.4426002Z             aten_bmm_default: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor, aten_permute_copy_default_7);  aten_mul_tensor = aten_permute_copy_default_7 = None
2025-03-21T20:22:44.4427138Z             
2025-03-21T20:22:44.4428573Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.4430579Z             aten_unsqueeze_copy_default: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.4432039Z             scalar_tensor: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.4433917Z             aten_where_self: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default, scalar_tensor, aten_bmm_default);  aten_unsqueeze_copy_default = scalar_tensor = aten_bmm_default = None
2025-03-21T20:22:44.4435218Z             
2025-03-21T20:22:44.4436630Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.4438942Z             aten__softmax_default: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self, -1, False);  aten_where_self = None
2025-03-21T20:22:44.4439929Z             
2025-03-21T20:22:44.4441322Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.4443333Z             aten_clone_default_2: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default);  aten__softmax_default = None
2025-03-21T20:22:44.4444273Z             
2025-03-21T20:22:44.4445371Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.4447447Z             aten_bmm_default_1: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_2, aten_permute_copy_default_6);  aten_clone_default_2 = aten_permute_copy_default_6 = None
2025-03-21T20:22:44.4448638Z             
2025-03-21T20:22:44.4449834Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.4451848Z             aten_permute_copy_default_8: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_1, [1, 0, 2]);  aten_bmm_default_1 = None
2025-03-21T20:22:44.4453673Z             aten_clone_default_3: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_8, memory_format = torch.contiguous_format);  aten_permute_copy_default_8 = None
2025-03-21T20:22:44.4455506Z             aten_view_copy_default_10: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_3, [39, 1, 512]);  aten_clone_default_3 = None
2025-03-21T20:22:44.4456526Z             
2025-03-21T20:22:44.4457597Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.4459407Z             aten_view_copy_default_11: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_10, [39, 512]);  aten_view_copy_default_10 = None
2025-03-21T20:22:44.4461676Z             aten_permute_copy_default_9: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_weight = None
2025-03-21T20:22:44.4464964Z             aten_addmm_default_2: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_bias, aten_view_copy_default_11, aten_permute_copy_default_9);  p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_bias = aten_view_copy_default_11 = aten_permute_copy_default_9 = None
2025-03-21T20:22:44.4467638Z             aten_view_copy_default_12: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_2, [39, 1, 512]);  aten_addmm_default_2 = None
2025-03-21T20:22:44.4468651Z             
2025-03-21T20:22:44.4469885Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.4471780Z             aten_clone_default_4: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_12);  aten_view_copy_default_12 = None
2025-03-21T20:22:44.4473646Z             aten_cat_default_23: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_cat_default, aten_slice_copy_tensor_8]);  aten_cat_default = aten_slice_copy_tensor_8 = None
2025-03-21T20:22:44.4475444Z             aten_add_tensor: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_4, aten_cat_default_23);  aten_clone_default_4 = aten_cat_default_23 = None
2025-03-21T20:22:44.4476588Z             
2025-03-21T20:22:44.4477649Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.4480886Z             aten_native_layer_norm_default_1 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor, [512], p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_bias = None
2025-03-21T20:22:44.4483484Z             getitem_3: "f32[39, 1, 512]" = aten_native_layer_norm_default_1[0];  aten_native_layer_norm_default_1 = None
2025-03-21T20:22:44.4484729Z             aten_view_copy_default_13: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_3, [39, 512]);  getitem_3 = None
2025-03-21T20:22:44.4486713Z             aten_permute_copy_default_10: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_weight = None
2025-03-21T20:22:44.4489756Z             aten_addmm_default_3: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_bias, aten_view_copy_default_13, aten_permute_copy_default_10);  p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_bias = aten_view_copy_default_13 = aten_permute_copy_default_10 = None
2025-03-21T20:22:44.4492414Z             aten_view_copy_default_14: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_3, [39, 1, 2048]);  aten_addmm_default_3 = None
2025-03-21T20:22:44.4494000Z             aten_gelu_default: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_14);  aten_view_copy_default_14 = None
2025-03-21T20:22:44.4495455Z             aten_clone_default_5: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default);  aten_gelu_default = None
2025-03-21T20:22:44.4496971Z             aten_view_copy_default_15: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_5, [39, 2048]);  aten_clone_default_5 = None
2025-03-21T20:22:44.4499084Z             aten_permute_copy_default_11: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_weight = None
2025-03-21T20:22:44.4502259Z             aten_addmm_default_4: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_bias, aten_view_copy_default_15, aten_permute_copy_default_11);  p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_4_bias = aten_view_copy_default_15 = aten_permute_copy_default_11 = None
2025-03-21T20:22:44.4505084Z             aten_view_copy_default_16: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_4, [39, 1, 512]);  aten_addmm_default_4 = None
2025-03-21T20:22:44.4506694Z             aten_clone_default_6: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_16);  aten_view_copy_default_16 = None
2025-03-21T20:22:44.4508649Z             aten_add_tensor_1: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_6, aten_add_tensor);  aten_clone_default_6 = aten_add_tensor = None
2025-03-21T20:22:44.4509701Z             
2025-03-21T20:22:44.4510782Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.4514137Z             aten_native_layer_norm_default_2 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_1, [512], p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_bias, 1e-05);  aten_add_tensor_1 = p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_output_bias = None
2025-03-21T20:22:44.4517204Z             getitem_4: "f32[39, 1, 512]" = aten_native_layer_norm_default_2[0];  aten_native_layer_norm_default_2 = None
2025-03-21T20:22:44.4517944Z             
2025-03-21T20:22:44.4519199Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.4521022Z             aten_slice_copy_tensor_11: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_4, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4522381Z             aten_slice_copy_tensor_12: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_4, 0, 0, 8);  getitem_4 = None
2025-03-21T20:22:44.4523267Z             
2025-03-21T20:22:44.4524563Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.4526487Z             aten_cat_default_24: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_12, aten_slice_copy_tensor_11])
2025-03-21T20:22:44.4529579Z             aten_native_layer_norm_default_3 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_24, [512], p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_bias, 1e-05);  aten_cat_default_24 = p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_input_bias = None
2025-03-21T20:22:44.4532553Z             getitem_5: "f32[39, 1, 512]" = aten_native_layer_norm_default_3[0];  aten_native_layer_norm_default_3 = None
2025-03-21T20:22:44.4533271Z             
2025-03-21T20:22:44.4534398Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.4536091Z             aten_slice_copy_tensor_13: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_5, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4536970Z             
2025-03-21T20:22:44.4538084Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.4539779Z             aten_slice_copy_tensor_14: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_5, 0, 0, 8);  getitem_5 = None
2025-03-21T20:22:44.4540675Z             
2025-03-21T20:22:44.4541832Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.4543794Z             aten_cat_default_25: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_14, aten_slice_copy_tensor_13])
2025-03-21T20:22:44.4545301Z             aten_view_copy_default_17: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_25, [39, 512]);  aten_cat_default_25 = None
2025-03-21T20:22:44.4547540Z             aten_permute_copy_default_12: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_weight = None
2025-03-21T20:22:44.4550993Z             aten_addmm_default_5: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_bias, aten_view_copy_default_17, aten_permute_copy_default_12);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_query_bias = aten_view_copy_default_17 = aten_permute_copy_default_12 = None
2025-03-21T20:22:44.4553719Z             aten_view_copy_default_18: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_5, [39, 1, 512]);  aten_addmm_default_5 = None
2025-03-21T20:22:44.4554742Z             
2025-03-21T20:22:44.4556059Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.4558236Z             aten_cat_default_26: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_14, aten_slice_copy_tensor_13]);  aten_slice_copy_tensor_14 = aten_slice_copy_tensor_13 = None
2025-03-21T20:22:44.4560026Z             aten_view_copy_default_19: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_26, [39, 512]);  aten_cat_default_26 = None
2025-03-21T20:22:44.4562320Z             aten_permute_copy_default_13: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.4565748Z             aten_addmm_default_6: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_bias, aten_view_copy_default_19, aten_permute_copy_default_13);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_emb_to_key_value_bias = aten_view_copy_default_19 = aten_permute_copy_default_13 = None
2025-03-21T20:22:44.4568500Z             aten_view_copy_default_20: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_6, [39, 1, 1024]);  aten_addmm_default_6 = None
2025-03-21T20:22:44.4570283Z             aten_split_with_sizes_copy_default_1 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_20, [512, 512], 2);  aten_view_copy_default_20 = None
2025-03-21T20:22:44.4571679Z             getitem_6: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_1[0]
2025-03-21T20:22:44.4572569Z             getitem_7: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_1[1];  aten_split_with_sizes_copy_default_1 = None
2025-03-21T20:22:44.4573315Z             
2025-03-21T20:22:44.4574594Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.4576598Z             aten_view_copy_default_21: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_18, [-1, 8, 64]);  aten_view_copy_default_18 = None
2025-03-21T20:22:44.4578494Z             aten_permute_copy_default_14: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_21, [1, 0, 2]);  aten_view_copy_default_21 = None
2025-03-21T20:22:44.4580208Z             aten_clone_default_7: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_6, memory_format = torch.contiguous_format);  getitem_6 = None
2025-03-21T20:22:44.4581837Z             aten_view_copy_default_22: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_7, [-1, 8, 64]);  aten_clone_default_7 = None
2025-03-21T20:22:44.4583580Z             aten_permute_copy_default_15: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_22, [1, 0, 2]);  aten_view_copy_default_22 = None
2025-03-21T20:22:44.4585317Z             aten_clone_default_8: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_7, memory_format = torch.contiguous_format);  getitem_7 = None
2025-03-21T20:22:44.4587049Z             aten_view_copy_default_23: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_8, [-1, 8, 64]);  aten_clone_default_8 = None
2025-03-21T20:22:44.4588754Z             aten_permute_copy_default_16: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_23, [1, 0, 2]);  aten_view_copy_default_23 = None
2025-03-21T20:22:44.4589841Z             
2025-03-21T20:22:44.4591111Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.4593291Z             aten_mul_tensor_1: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_14, _lifted_tensor_constant3);  aten_permute_copy_default_14 = _lifted_tensor_constant3 = None
2025-03-21T20:22:44.4595281Z             aten_permute_copy_default_17: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_15, [0, 2, 1]);  aten_permute_copy_default_15 = None
2025-03-21T20:22:44.4597178Z             aten_bmm_default_2: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_1, aten_permute_copy_default_17);  aten_mul_tensor_1 = aten_permute_copy_default_17 = None
2025-03-21T20:22:44.4598363Z             
2025-03-21T20:22:44.4599856Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.4601849Z             aten_unsqueeze_copy_default_1: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.4603328Z             scalar_tensor_1: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.4605533Z             aten_where_self_1: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_1, scalar_tensor_1, aten_bmm_default_2);  aten_unsqueeze_copy_default_1 = scalar_tensor_1 = aten_bmm_default_2 = None
2025-03-21T20:22:44.4606868Z             
2025-03-21T20:22:44.4608278Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.4610356Z             aten__softmax_default_1: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_1, -1, False);  aten_where_self_1 = None
2025-03-21T20:22:44.4611401Z             
2025-03-21T20:22:44.4613084Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.4615100Z             aten_clone_default_9: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_1);  aten__softmax_default_1 = None
2025-03-21T20:22:44.4616039Z             
2025-03-21T20:22:44.4617117Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.4619079Z             aten_bmm_default_3: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_9, aten_permute_copy_default_16);  aten_clone_default_9 = aten_permute_copy_default_16 = None
2025-03-21T20:22:44.4620266Z             
2025-03-21T20:22:44.4621682Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.4623627Z             aten_permute_copy_default_18: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_3, [1, 0, 2]);  aten_bmm_default_3 = None
2025-03-21T20:22:44.4625472Z             aten_clone_default_10: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_18, memory_format = torch.contiguous_format);  aten_permute_copy_default_18 = None
2025-03-21T20:22:44.4627320Z             aten_view_copy_default_24: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_10, [39, 1, 512]);  aten_clone_default_10 = None
2025-03-21T20:22:44.4628348Z             
2025-03-21T20:22:44.4629429Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.4631244Z             aten_view_copy_default_25: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_24, [39, 512]);  aten_view_copy_default_24 = None
2025-03-21T20:22:44.4633518Z             aten_permute_copy_default_19: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_weight = None
2025-03-21T20:22:44.4636813Z             aten_addmm_default_7: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_bias, aten_view_copy_default_25, aten_permute_copy_default_19);  p_rnnt_transcriber_transformer_emformer_layers_1_attention_out_proj_bias = aten_view_copy_default_25 = aten_permute_copy_default_19 = None
2025-03-21T20:22:44.4639496Z             aten_view_copy_default_26: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_7, [39, 1, 512]);  aten_addmm_default_7 = None
2025-03-21T20:22:44.4640523Z             
2025-03-21T20:22:44.4641760Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.4643671Z             aten_clone_default_11: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_26);  aten_view_copy_default_26 = None
2025-03-21T20:22:44.4645466Z             aten_cat_default_27: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_12, aten_slice_copy_tensor_11]);  aten_slice_copy_tensor_12 = aten_slice_copy_tensor_11 = None
2025-03-21T20:22:44.4647371Z             aten_add_tensor_2: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_11, aten_cat_default_27);  aten_clone_default_11 = aten_cat_default_27 = None
2025-03-21T20:22:44.4648611Z             
2025-03-21T20:22:44.4649675Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.4652794Z             aten_native_layer_norm_default_4 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_2, [512], p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_0_bias = None
2025-03-21T20:22:44.4655362Z             getitem_8: "f32[39, 1, 512]" = aten_native_layer_norm_default_4[0];  aten_native_layer_norm_default_4 = None
2025-03-21T20:22:44.4656835Z             aten_view_copy_default_27: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_8, [39, 512]);  getitem_8 = None
2025-03-21T20:22:44.4658866Z             aten_permute_copy_default_20: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_weight = None
2025-03-21T20:22:44.4661960Z             aten_addmm_default_8: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_bias, aten_view_copy_default_27, aten_permute_copy_default_20);  p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_1_bias = aten_view_copy_default_27 = aten_permute_copy_default_20 = None
2025-03-21T20:22:44.4664537Z             aten_view_copy_default_28: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_8, [39, 1, 2048]);  aten_addmm_default_8 = None
2025-03-21T20:22:44.4666149Z             aten_gelu_default_1: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_28);  aten_view_copy_default_28 = None
2025-03-21T20:22:44.4667644Z             aten_clone_default_12: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_1);  aten_gelu_default_1 = None
2025-03-21T20:22:44.4669197Z             aten_view_copy_default_29: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_12, [39, 2048]);  aten_clone_default_12 = None
2025-03-21T20:22:44.4671338Z             aten_permute_copy_default_21: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_weight = None
2025-03-21T20:22:44.4674426Z             aten_addmm_default_9: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_bias, aten_view_copy_default_29, aten_permute_copy_default_21);  p_rnnt_transcriber_transformer_emformer_layers_1_pos_ff_4_bias = aten_view_copy_default_29 = aten_permute_copy_default_21 = None
2025-03-21T20:22:44.4676988Z             aten_view_copy_default_30: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_9, [39, 1, 512]);  aten_addmm_default_9 = None
2025-03-21T20:22:44.4678589Z             aten_clone_default_13: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_30);  aten_view_copy_default_30 = None
2025-03-21T20:22:44.4680263Z             aten_add_tensor_3: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_13, aten_add_tensor_2);  aten_clone_default_13 = aten_add_tensor_2 = None
2025-03-21T20:22:44.4681335Z             
2025-03-21T20:22:44.4682639Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.4685994Z             aten_native_layer_norm_default_5 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_3, [512], p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_bias, 1e-05);  aten_add_tensor_3 = p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_1_layer_norm_output_bias = None
2025-03-21T20:22:44.4688870Z             getitem_9: "f32[39, 1, 512]" = aten_native_layer_norm_default_5[0];  aten_native_layer_norm_default_5 = None
2025-03-21T20:22:44.4689596Z             
2025-03-21T20:22:44.4691065Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.4692913Z             aten_slice_copy_tensor_15: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_9, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4694279Z             aten_slice_copy_tensor_16: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_9, 0, 0, 8);  getitem_9 = None
2025-03-21T20:22:44.4695173Z             
2025-03-21T20:22:44.4696466Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.4698378Z             aten_cat_default_28: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_16, aten_slice_copy_tensor_15])
2025-03-21T20:22:44.4701479Z             aten_native_layer_norm_default_6 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_28, [512], p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_bias, 1e-05);  aten_cat_default_28 = p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_input_bias = None
2025-03-21T20:22:44.4704634Z             getitem_10: "f32[39, 1, 512]" = aten_native_layer_norm_default_6[0];  aten_native_layer_norm_default_6 = None
2025-03-21T20:22:44.4705358Z             
2025-03-21T20:22:44.4706473Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.4708163Z             aten_slice_copy_tensor_17: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_10, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4709057Z             
2025-03-21T20:22:44.4710176Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.4711874Z             aten_slice_copy_tensor_18: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_10, 0, 0, 8);  getitem_10 = None
2025-03-21T20:22:44.4712768Z             
2025-03-21T20:22:44.4713928Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.4715762Z             aten_cat_default_29: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_18, aten_slice_copy_tensor_17])
2025-03-21T20:22:44.4717270Z             aten_view_copy_default_31: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_29, [39, 512]);  aten_cat_default_29 = None
2025-03-21T20:22:44.4719815Z             aten_permute_copy_default_22: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_weight = None
2025-03-21T20:22:44.4723373Z             aten_addmm_default_10: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_bias, aten_view_copy_default_31, aten_permute_copy_default_22);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_query_bias = aten_view_copy_default_31 = aten_permute_copy_default_22 = None
2025-03-21T20:22:44.4726184Z             aten_view_copy_default_32: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_10, [39, 1, 512]);  aten_addmm_default_10 = None
2025-03-21T20:22:44.4727305Z             
2025-03-21T20:22:44.4728752Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.4731040Z             aten_cat_default_30: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_18, aten_slice_copy_tensor_17]);  aten_slice_copy_tensor_18 = aten_slice_copy_tensor_17 = None
2025-03-21T20:22:44.4732844Z             aten_view_copy_default_33: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_30, [39, 512]);  aten_cat_default_30 = None
2025-03-21T20:22:44.4735151Z             aten_permute_copy_default_23: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.4738725Z             aten_addmm_default_11: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_bias, aten_view_copy_default_33, aten_permute_copy_default_23);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_emb_to_key_value_bias = aten_view_copy_default_33 = aten_permute_copy_default_23 = None
2025-03-21T20:22:44.4741487Z             aten_view_copy_default_34: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_11, [39, 1, 1024]);  aten_addmm_default_11 = None
2025-03-21T20:22:44.4743267Z             aten_split_with_sizes_copy_default_2 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_34, [512, 512], 2);  aten_view_copy_default_34 = None
2025-03-21T20:22:44.4744568Z             getitem_11: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_2[0]
2025-03-21T20:22:44.4745485Z             getitem_12: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_2[1];  aten_split_with_sizes_copy_default_2 = None
2025-03-21T20:22:44.4746261Z             
2025-03-21T20:22:44.4747540Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.4749605Z             aten_view_copy_default_35: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_32, [-1, 8, 64]);  aten_view_copy_default_32 = None
2025-03-21T20:22:44.4751339Z             aten_permute_copy_default_24: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_35, [1, 0, 2]);  aten_view_copy_default_35 = None
2025-03-21T20:22:44.4753070Z             aten_clone_default_14: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_11, memory_format = torch.contiguous_format);  getitem_11 = None
2025-03-21T20:22:44.4754866Z             aten_view_copy_default_36: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_14, [-1, 8, 64]);  aten_clone_default_14 = None
2025-03-21T20:22:44.4756558Z             aten_permute_copy_default_25: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_36, [1, 0, 2]);  aten_view_copy_default_36 = None
2025-03-21T20:22:44.4758273Z             aten_clone_default_15: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_12, memory_format = torch.contiguous_format);  getitem_12 = None
2025-03-21T20:22:44.4759918Z             aten_view_copy_default_37: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_15, [-1, 8, 64]);  aten_clone_default_15 = None
2025-03-21T20:22:44.4761756Z             aten_permute_copy_default_26: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_37, [1, 0, 2]);  aten_view_copy_default_37 = None
2025-03-21T20:22:44.4762900Z             
2025-03-21T20:22:44.4764172Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.4766350Z             aten_mul_tensor_2: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_24, _lifted_tensor_constant4);  aten_permute_copy_default_24 = _lifted_tensor_constant4 = None
2025-03-21T20:22:44.4768281Z             aten_permute_copy_default_27: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_25, [0, 2, 1]);  aten_permute_copy_default_25 = None
2025-03-21T20:22:44.4770154Z             aten_bmm_default_4: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_2, aten_permute_copy_default_27);  aten_mul_tensor_2 = aten_permute_copy_default_27 = None
2025-03-21T20:22:44.4771427Z             
2025-03-21T20:22:44.4772864Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.4774876Z             aten_unsqueeze_copy_default_2: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.4776345Z             scalar_tensor_2: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.4778285Z             aten_where_self_2: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_2, scalar_tensor_2, aten_bmm_default_4);  aten_unsqueeze_copy_default_2 = scalar_tensor_2 = aten_bmm_default_4 = None
2025-03-21T20:22:44.4779634Z             
2025-03-21T20:22:44.4781046Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.4783121Z             aten__softmax_default_2: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_2, -1, False);  aten_where_self_2 = None
2025-03-21T20:22:44.4784127Z             
2025-03-21T20:22:44.4785498Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.4787541Z             aten_clone_default_16: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_2);  aten__softmax_default_2 = None
2025-03-21T20:22:44.4788693Z             
2025-03-21T20:22:44.4789829Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.4791801Z             aten_bmm_default_5: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_16, aten_permute_copy_default_26);  aten_clone_default_16 = aten_permute_copy_default_26 = None
2025-03-21T20:22:44.4793000Z             
2025-03-21T20:22:44.4794199Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.4796217Z             aten_permute_copy_default_28: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_5, [1, 0, 2]);  aten_bmm_default_5 = None
2025-03-21T20:22:44.4798074Z             aten_clone_default_17: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_28, memory_format = torch.contiguous_format);  aten_permute_copy_default_28 = None
2025-03-21T20:22:44.4799920Z             aten_view_copy_default_38: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_17, [39, 1, 512]);  aten_clone_default_17 = None
2025-03-21T20:22:44.4800951Z             
2025-03-21T20:22:44.4802038Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.4804167Z             aten_view_copy_default_39: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_38, [39, 512]);  aten_view_copy_default_38 = None
2025-03-21T20:22:44.4806472Z             aten_permute_copy_default_29: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_weight = None
2025-03-21T20:22:44.4809793Z             aten_addmm_default_12: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_bias, aten_view_copy_default_39, aten_permute_copy_default_29);  p_rnnt_transcriber_transformer_emformer_layers_2_attention_out_proj_bias = aten_view_copy_default_39 = aten_permute_copy_default_29 = None
2025-03-21T20:22:44.4812555Z             aten_view_copy_default_40: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_12, [39, 1, 512]);  aten_addmm_default_12 = None
2025-03-21T20:22:44.4813588Z             
2025-03-21T20:22:44.4814843Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.4816736Z             aten_clone_default_18: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_40);  aten_view_copy_default_40 = None
2025-03-21T20:22:44.4818521Z             aten_cat_default_31: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_16, aten_slice_copy_tensor_15]);  aten_slice_copy_tensor_16 = aten_slice_copy_tensor_15 = None
2025-03-21T20:22:44.4820414Z             aten_add_tensor_4: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_18, aten_cat_default_31);  aten_clone_default_18 = aten_cat_default_31 = None
2025-03-21T20:22:44.4821548Z             
2025-03-21T20:22:44.4822616Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.4825948Z             aten_native_layer_norm_default_7 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_4, [512], p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_0_bias = None
2025-03-21T20:22:44.4828524Z             getitem_13: "f32[39, 1, 512]" = aten_native_layer_norm_default_7[0];  aten_native_layer_norm_default_7 = None
2025-03-21T20:22:44.4829786Z             aten_view_copy_default_41: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_13, [39, 512]);  getitem_13 = None
2025-03-21T20:22:44.4831941Z             aten_permute_copy_default_30: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_weight = None
2025-03-21T20:22:44.4835017Z             aten_addmm_default_13: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_bias, aten_view_copy_default_41, aten_permute_copy_default_30);  p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_1_bias = aten_view_copy_default_41 = aten_permute_copy_default_30 = None
2025-03-21T20:22:44.4837594Z             aten_view_copy_default_42: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_13, [39, 1, 2048]);  aten_addmm_default_13 = None
2025-03-21T20:22:44.4839195Z             aten_gelu_default_2: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_42);  aten_view_copy_default_42 = None
2025-03-21T20:22:44.4840699Z             aten_clone_default_19: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_2);  aten_gelu_default_2 = None
2025-03-21T20:22:44.4842240Z             aten_view_copy_default_43: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_19, [39, 2048]);  aten_clone_default_19 = None
2025-03-21T20:22:44.4844365Z             aten_permute_copy_default_31: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_weight = None
2025-03-21T20:22:44.4847398Z             aten_addmm_default_14: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_bias, aten_view_copy_default_43, aten_permute_copy_default_31);  p_rnnt_transcriber_transformer_emformer_layers_2_pos_ff_4_bias = aten_view_copy_default_43 = aten_permute_copy_default_31 = None
2025-03-21T20:22:44.4849965Z             aten_view_copy_default_44: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_14, [39, 1, 512]);  aten_addmm_default_14 = None
2025-03-21T20:22:44.4851654Z             aten_clone_default_20: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_44);  aten_view_copy_default_44 = None
2025-03-21T20:22:44.4853445Z             aten_add_tensor_5: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_20, aten_add_tensor_4);  aten_clone_default_20 = aten_add_tensor_4 = None
2025-03-21T20:22:44.4854522Z             
2025-03-21T20:22:44.4855608Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.4858995Z             aten_native_layer_norm_default_8 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_5, [512], p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_bias, 1e-05);  aten_add_tensor_5 = p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_2_layer_norm_output_bias = None
2025-03-21T20:22:44.4862058Z             getitem_14: "f32[39, 1, 512]" = aten_native_layer_norm_default_8[0];  aten_native_layer_norm_default_8 = None
2025-03-21T20:22:44.4862784Z             
2025-03-21T20:22:44.4864051Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.4865879Z             aten_slice_copy_tensor_19: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_14, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4867361Z             aten_slice_copy_tensor_20: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_14, 0, 0, 8);  getitem_14 = None
2025-03-21T20:22:44.4868281Z             
2025-03-21T20:22:44.4869590Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.4871506Z             aten_cat_default_32: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_20, aten_slice_copy_tensor_19])
2025-03-21T20:22:44.4874621Z             aten_native_layer_norm_default_9 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_32, [512], p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_bias, 1e-05);  aten_cat_default_32 = p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_input_bias = None
2025-03-21T20:22:44.4877519Z             getitem_15: "f32[39, 1, 512]" = aten_native_layer_norm_default_9[0];  aten_native_layer_norm_default_9 = None
2025-03-21T20:22:44.4878248Z             
2025-03-21T20:22:44.4879378Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.4881079Z             aten_slice_copy_tensor_21: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_15, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.4881973Z             
2025-03-21T20:22:44.4883123Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.4884853Z             aten_slice_copy_tensor_22: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_15, 0, 0, 8);  getitem_15 = None
2025-03-21T20:22:44.4885759Z             
2025-03-21T20:22:44.4886929Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.4888712Z             aten_cat_default_33: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_22, aten_slice_copy_tensor_21])
2025-03-21T20:22:44.4890231Z             aten_view_copy_default_45: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_33, [39, 512]);  aten_cat_default_33 = None
2025-03-21T20:22:44.4892577Z             aten_permute_copy_default_32: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_weight = None
2025-03-21T20:22:44.4896108Z             aten_addmm_default_15: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_bias, aten_view_copy_default_45, aten_permute_copy_default_32);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_query_bias = aten_view_copy_default_45 = aten_permute_copy_default_32 = None
2025-03-21T20:22:44.4898822Z             aten_view_copy_default_46: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_15, [39, 1, 512]);  aten_addmm_default_15 = None
2025-03-21T20:22:44.4899839Z             
2025-03-21T20:22:44.4901127Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.4903405Z             aten_cat_default_34: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_22, aten_slice_copy_tensor_21]);  aten_slice_copy_tensor_22 = aten_slice_copy_tensor_21 = None
2025-03-21T20:22:44.4905559Z             aten_view_copy_default_47: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_34, [39, 512]);  aten_cat_default_34 = None
2025-03-21T20:22:44.4907891Z             aten_permute_copy_default_33: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.4911375Z             aten_addmm_default_16: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_bias, aten_view_copy_default_47, aten_permute_copy_default_33);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_emb_to_key_value_bias = aten_view_copy_default_47 = aten_permute_copy_default_33 = None
2025-03-21T20:22:44.4914166Z             aten_view_copy_default_48: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_16, [39, 1, 1024]);  aten_addmm_default_16 = None
2025-03-21T20:22:44.4915967Z             aten_split_with_sizes_copy_default_3 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_48, [512, 512], 2);  aten_view_copy_default_48 = None
2025-03-21T20:22:44.4917281Z             getitem_16: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_3[0]
2025-03-21T20:22:44.4918209Z             getitem_17: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_3[1];  aten_split_with_sizes_copy_default_3 = None
2025-03-21T20:22:44.4918973Z             
2025-03-21T20:22:44.4920258Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.4922278Z             aten_view_copy_default_49: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_46, [-1, 8, 64]);  aten_view_copy_default_46 = None
2025-03-21T20:22:44.4924021Z             aten_permute_copy_default_34: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_49, [1, 0, 2]);  aten_view_copy_default_49 = None
2025-03-21T20:22:44.4925761Z             aten_clone_default_21: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_16, memory_format = torch.contiguous_format);  getitem_16 = None
2025-03-21T20:22:44.4927426Z             aten_view_copy_default_50: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_21, [-1, 8, 64]);  aten_clone_default_21 = None
2025-03-21T20:22:44.4929406Z             aten_permute_copy_default_35: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_50, [1, 0, 2]);  aten_view_copy_default_50 = None
2025-03-21T20:22:44.4931229Z             aten_clone_default_22: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_17, memory_format = torch.contiguous_format);  getitem_17 = None
2025-03-21T20:22:44.4932901Z             aten_view_copy_default_51: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_22, [-1, 8, 64]);  aten_clone_default_22 = None
2025-03-21T20:22:44.4934664Z             aten_permute_copy_default_36: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_51, [1, 0, 2]);  aten_view_copy_default_51 = None
2025-03-21T20:22:44.4935752Z             
2025-03-21T20:22:44.4937197Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.4939436Z             aten_mul_tensor_3: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_34, _lifted_tensor_constant5);  aten_permute_copy_default_34 = _lifted_tensor_constant5 = None
2025-03-21T20:22:44.4941379Z             aten_permute_copy_default_37: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_35, [0, 2, 1]);  aten_permute_copy_default_35 = None
2025-03-21T20:22:44.4943242Z             aten_bmm_default_6: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_3, aten_permute_copy_default_37);  aten_mul_tensor_3 = aten_permute_copy_default_37 = None
2025-03-21T20:22:44.4944390Z             
2025-03-21T20:22:44.4945834Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.4947846Z             aten_unsqueeze_copy_default_3: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.4949312Z             scalar_tensor_3: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.4951241Z             aten_where_self_3: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_3, scalar_tensor_3, aten_bmm_default_6);  aten_unsqueeze_copy_default_3 = scalar_tensor_3 = aten_bmm_default_6 = None
2025-03-21T20:22:44.4952584Z             
2025-03-21T20:22:44.4954004Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.4956089Z             aten__softmax_default_3: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_3, -1, False);  aten_where_self_3 = None
2025-03-21T20:22:44.4957060Z             
2025-03-21T20:22:44.4958441Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.4960461Z             aten_clone_default_23: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_3);  aten__softmax_default_3 = None
2025-03-21T20:22:44.4961417Z             
2025-03-21T20:22:44.4962510Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.4964694Z             aten_bmm_default_7: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_23, aten_permute_copy_default_36);  aten_clone_default_23 = aten_permute_copy_default_36 = None
2025-03-21T20:22:44.4965898Z             
2025-03-21T20:22:44.4967093Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.4969015Z             aten_permute_copy_default_38: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_7, [1, 0, 2]);  aten_bmm_default_7 = None
2025-03-21T20:22:44.4970954Z             aten_clone_default_24: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_38, memory_format = torch.contiguous_format);  aten_permute_copy_default_38 = None
2025-03-21T20:22:44.4972963Z             aten_view_copy_default_52: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_24, [39, 1, 512]);  aten_clone_default_24 = None
2025-03-21T20:22:44.4974009Z             
2025-03-21T20:22:44.4975076Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.4976883Z             aten_view_copy_default_53: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_52, [39, 512]);  aten_view_copy_default_52 = None
2025-03-21T20:22:44.4979147Z             aten_permute_copy_default_39: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_out_proj_weight = None
2025-03-21T20:22:44.4982537Z             aten_addmm_default_17: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_3_attention_out_proj_bias, aten_view_copy_default_53, aten_permute_copy_default_39);  p_rnnt_transcriber_transformer_emformer_layers_3_attention_out_proj_bias = aten_view_copy_default_53 = aten_permute_copy_default_39 = None
2025-03-21T20:22:44.4985223Z             aten_view_copy_default_54: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_17, [39, 1, 512]);  aten_addmm_default_17 = None
2025-03-21T20:22:44.4986268Z             
2025-03-21T20:22:44.4987500Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.4989409Z             aten_clone_default_25: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_54);  aten_view_copy_default_54 = None
2025-03-21T20:22:44.4991198Z             aten_cat_default_35: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_20, aten_slice_copy_tensor_19]);  aten_slice_copy_tensor_20 = aten_slice_copy_tensor_19 = None
2025-03-21T20:22:44.4993089Z             aten_add_tensor_6: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_25, aten_cat_default_35);  aten_clone_default_25 = aten_cat_default_35 = None
2025-03-21T20:22:44.4994174Z             
2025-03-21T20:22:44.4995231Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.4998247Z             aten_native_layer_norm_default_10 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_6, [512], p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_0_bias = None
2025-03-21T20:22:44.5001030Z             getitem_18: "f32[39, 1, 512]" = aten_native_layer_norm_default_10[0];  aten_native_layer_norm_default_10 = None
2025-03-21T20:22:44.5002258Z             aten_view_copy_default_55: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_18, [39, 512]);  getitem_18 = None
2025-03-21T20:22:44.5004524Z             aten_permute_copy_default_40: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_1_weight = None
2025-03-21T20:22:44.5007918Z             aten_addmm_default_18: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_1_bias, aten_view_copy_default_55, aten_permute_copy_default_40);  p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_1_bias = aten_view_copy_default_55 = aten_permute_copy_default_40 = None
2025-03-21T20:22:44.5010611Z             aten_view_copy_default_56: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_18, [39, 1, 2048]);  aten_addmm_default_18 = None
2025-03-21T20:22:44.5012227Z             aten_gelu_default_3: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_56);  aten_view_copy_default_56 = None
2025-03-21T20:22:44.5013714Z             aten_clone_default_26: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_3);  aten_gelu_default_3 = None
2025-03-21T20:22:44.5015270Z             aten_view_copy_default_57: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_26, [39, 2048]);  aten_clone_default_26 = None
2025-03-21T20:22:44.5017406Z             aten_permute_copy_default_41: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_4_weight = None
2025-03-21T20:22:44.5020442Z             aten_addmm_default_19: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_4_bias, aten_view_copy_default_57, aten_permute_copy_default_41);  p_rnnt_transcriber_transformer_emformer_layers_3_pos_ff_4_bias = aten_view_copy_default_57 = aten_permute_copy_default_41 = None
2025-03-21T20:22:44.5022998Z             aten_view_copy_default_58: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_19, [39, 1, 512]);  aten_addmm_default_19 = None
2025-03-21T20:22:44.5024615Z             aten_clone_default_27: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_58);  aten_view_copy_default_58 = None
2025-03-21T20:22:44.5026262Z             aten_add_tensor_7: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_27, aten_add_tensor_6);  aten_clone_default_27 = aten_add_tensor_6 = None
2025-03-21T20:22:44.5027337Z             
2025-03-21T20:22:44.5028425Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5031798Z             aten_native_layer_norm_default_11 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_7, [512], p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_output_bias, 1e-05);  aten_add_tensor_7 = p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_3_layer_norm_output_bias = None
2025-03-21T20:22:44.5035012Z             getitem_19: "f32[39, 1, 512]" = aten_native_layer_norm_default_11[0];  aten_native_layer_norm_default_11 = None
2025-03-21T20:22:44.5035739Z             
2025-03-21T20:22:44.5036998Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5038833Z             aten_slice_copy_tensor_23: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_19, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5040216Z             aten_slice_copy_tensor_24: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_19, 0, 0, 8);  getitem_19 = None
2025-03-21T20:22:44.5041113Z             
2025-03-21T20:22:44.5042518Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5044444Z             aten_cat_default_36: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_24, aten_slice_copy_tensor_23])
2025-03-21T20:22:44.5047541Z             aten_native_layer_norm_default_12 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_36, [512], p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_input_bias, 1e-05);  aten_cat_default_36 = p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_input_bias = None
2025-03-21T20:22:44.5050510Z             getitem_20: "f32[39, 1, 512]" = aten_native_layer_norm_default_12[0];  aten_native_layer_norm_default_12 = None
2025-03-21T20:22:44.5051264Z             
2025-03-21T20:22:44.5052386Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5054080Z             aten_slice_copy_tensor_25: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_20, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5054971Z             
2025-03-21T20:22:44.5056109Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5057887Z             aten_slice_copy_tensor_26: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_20, 0, 0, 8);  getitem_20 = None
2025-03-21T20:22:44.5058799Z             
2025-03-21T20:22:44.5059981Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5061766Z             aten_cat_default_37: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_26, aten_slice_copy_tensor_25])
2025-03-21T20:22:44.5063280Z             aten_view_copy_default_59: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_37, [39, 512]);  aten_cat_default_37 = None
2025-03-21T20:22:44.5065539Z             aten_permute_copy_default_42: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5068904Z             aten_addmm_default_20: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_query_bias, aten_view_copy_default_59, aten_permute_copy_default_42);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_query_bias = aten_view_copy_default_59 = aten_permute_copy_default_42 = None
2025-03-21T20:22:44.5071842Z             aten_view_copy_default_60: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_20, [39, 1, 512]);  aten_addmm_default_20 = None
2025-03-21T20:22:44.5072886Z             
2025-03-21T20:22:44.5074177Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5076367Z             aten_cat_default_38: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_26, aten_slice_copy_tensor_25]);  aten_slice_copy_tensor_26 = aten_slice_copy_tensor_25 = None
2025-03-21T20:22:44.5078283Z             aten_view_copy_default_61: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_38, [39, 512]);  aten_cat_default_38 = None
2025-03-21T20:22:44.5080581Z             aten_permute_copy_default_43: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5084055Z             aten_addmm_default_21: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_key_value_bias, aten_view_copy_default_61, aten_permute_copy_default_43);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_emb_to_key_value_bias = aten_view_copy_default_61 = aten_permute_copy_default_43 = None
2025-03-21T20:22:44.5086822Z             aten_view_copy_default_62: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_21, [39, 1, 1024]);  aten_addmm_default_21 = None
2025-03-21T20:22:44.5088615Z             aten_split_with_sizes_copy_default_4 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_62, [512, 512], 2);  aten_view_copy_default_62 = None
2025-03-21T20:22:44.5089921Z             getitem_21: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_4[0]
2025-03-21T20:22:44.5090922Z             getitem_22: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_4[1];  aten_split_with_sizes_copy_default_4 = None
2025-03-21T20:22:44.5091671Z             
2025-03-21T20:22:44.5092939Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5094952Z             aten_view_copy_default_63: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_60, [-1, 8, 64]);  aten_view_copy_default_60 = None
2025-03-21T20:22:44.5096691Z             aten_permute_copy_default_44: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_63, [1, 0, 2]);  aten_view_copy_default_63 = None
2025-03-21T20:22:44.5098414Z             aten_clone_default_28: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_21, memory_format = torch.contiguous_format);  getitem_21 = None
2025-03-21T20:22:44.5100061Z             aten_view_copy_default_64: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_28, [-1, 8, 64]);  aten_clone_default_28 = None
2025-03-21T20:22:44.5101758Z             aten_permute_copy_default_45: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_64, [1, 0, 2]);  aten_view_copy_default_64 = None
2025-03-21T20:22:44.5103667Z             aten_clone_default_29: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_22, memory_format = torch.contiguous_format);  getitem_22 = None
2025-03-21T20:22:44.5105608Z             aten_view_copy_default_65: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_29, [-1, 8, 64]);  aten_clone_default_29 = None
2025-03-21T20:22:44.5107339Z             aten_permute_copy_default_46: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_65, [1, 0, 2]);  aten_view_copy_default_65 = None
2025-03-21T20:22:44.5108425Z             
2025-03-21T20:22:44.5109695Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5112139Z             aten_mul_tensor_4: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_44, _lifted_tensor_constant6);  aten_permute_copy_default_44 = _lifted_tensor_constant6 = None
2025-03-21T20:22:44.5114121Z             aten_permute_copy_default_47: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_45, [0, 2, 1]);  aten_permute_copy_default_45 = None
2025-03-21T20:22:44.5115990Z             aten_bmm_default_8: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_4, aten_permute_copy_default_47);  aten_mul_tensor_4 = aten_permute_copy_default_47 = None
2025-03-21T20:22:44.5117139Z             
2025-03-21T20:22:44.5118572Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.5120586Z             aten_unsqueeze_copy_default_4: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.5122053Z             scalar_tensor_4: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.5123967Z             aten_where_self_4: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_4, scalar_tensor_4, aten_bmm_default_8);  aten_unsqueeze_copy_default_4 = scalar_tensor_4 = aten_bmm_default_8 = None
2025-03-21T20:22:44.5125306Z             
2025-03-21T20:22:44.5126711Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.5128789Z             aten__softmax_default_4: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_4, -1, False);  aten_where_self_4 = None
2025-03-21T20:22:44.5129769Z             
2025-03-21T20:22:44.5131246Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.5133284Z             aten_clone_default_30: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_4);  aten__softmax_default_4 = None
2025-03-21T20:22:44.5134242Z             
2025-03-21T20:22:44.5135309Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.5137276Z             aten_bmm_default_9: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_30, aten_permute_copy_default_46);  aten_clone_default_30 = aten_permute_copy_default_46 = None
2025-03-21T20:22:44.5138756Z             
2025-03-21T20:22:44.5139960Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.5141871Z             aten_permute_copy_default_48: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_9, [1, 0, 2]);  aten_bmm_default_9 = None
2025-03-21T20:22:44.5143715Z             aten_clone_default_31: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_48, memory_format = torch.contiguous_format);  aten_permute_copy_default_48 = None
2025-03-21T20:22:44.5145566Z             aten_view_copy_default_66: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_31, [39, 1, 512]);  aten_clone_default_31 = None
2025-03-21T20:22:44.5146605Z             
2025-03-21T20:22:44.5147823Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.5149646Z             aten_view_copy_default_67: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_66, [39, 512]);  aten_view_copy_default_66 = None
2025-03-21T20:22:44.5151919Z             aten_permute_copy_default_49: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_out_proj_weight = None
2025-03-21T20:22:44.5155214Z             aten_addmm_default_22: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_4_attention_out_proj_bias, aten_view_copy_default_67, aten_permute_copy_default_49);  p_rnnt_transcriber_transformer_emformer_layers_4_attention_out_proj_bias = aten_view_copy_default_67 = aten_permute_copy_default_49 = None
2025-03-21T20:22:44.5157918Z             aten_view_copy_default_68: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_22, [39, 1, 512]);  aten_addmm_default_22 = None
2025-03-21T20:22:44.5159001Z             
2025-03-21T20:22:44.5160271Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.5162173Z             aten_clone_default_32: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_68);  aten_view_copy_default_68 = None
2025-03-21T20:22:44.5163969Z             aten_cat_default_39: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_24, aten_slice_copy_tensor_23]);  aten_slice_copy_tensor_24 = aten_slice_copy_tensor_23 = None
2025-03-21T20:22:44.5165882Z             aten_add_tensor_8: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_32, aten_cat_default_39);  aten_clone_default_32 = aten_cat_default_39 = None
2025-03-21T20:22:44.5166995Z             
2025-03-21T20:22:44.5168056Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.5171190Z             aten_native_layer_norm_default_13 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_8, [512], p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_0_bias = None
2025-03-21T20:22:44.5173961Z             getitem_23: "f32[39, 1, 512]" = aten_native_layer_norm_default_13[0];  aten_native_layer_norm_default_13 = None
2025-03-21T20:22:44.5175197Z             aten_view_copy_default_69: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_23, [39, 512]);  getitem_23 = None
2025-03-21T20:22:44.5177219Z             aten_permute_copy_default_50: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_1_weight = None
2025-03-21T20:22:44.5180294Z             aten_addmm_default_23: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_1_bias, aten_view_copy_default_69, aten_permute_copy_default_50);  p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_1_bias = aten_view_copy_default_69 = aten_permute_copy_default_50 = None
2025-03-21T20:22:44.5182974Z             aten_view_copy_default_70: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_23, [39, 1, 2048]);  aten_addmm_default_23 = None
2025-03-21T20:22:44.5184600Z             aten_gelu_default_4: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_70);  aten_view_copy_default_70 = None
2025-03-21T20:22:44.5186105Z             aten_clone_default_33: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_4);  aten_gelu_default_4 = None
2025-03-21T20:22:44.5187654Z             aten_view_copy_default_71: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_33, [39, 2048]);  aten_clone_default_33 = None
2025-03-21T20:22:44.5189785Z             aten_permute_copy_default_51: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_4_weight = None
2025-03-21T20:22:44.5192829Z             aten_addmm_default_24: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_4_bias, aten_view_copy_default_71, aten_permute_copy_default_51);  p_rnnt_transcriber_transformer_emformer_layers_4_pos_ff_4_bias = aten_view_copy_default_71 = aten_permute_copy_default_51 = None
2025-03-21T20:22:44.5195375Z             aten_view_copy_default_72: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_24, [39, 1, 512]);  aten_addmm_default_24 = None
2025-03-21T20:22:44.5196975Z             aten_clone_default_34: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_72);  aten_view_copy_default_72 = None
2025-03-21T20:22:44.5198622Z             aten_add_tensor_9: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_34, aten_add_tensor_8);  aten_clone_default_34 = aten_add_tensor_8 = None
2025-03-21T20:22:44.5199694Z             
2025-03-21T20:22:44.5200780Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5204453Z             aten_native_layer_norm_default_14 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_9, [512], p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_output_bias, 1e-05);  aten_add_tensor_9 = p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_4_layer_norm_output_bias = None
2025-03-21T20:22:44.5207363Z             getitem_24: "f32[39, 1, 512]" = aten_native_layer_norm_default_14[0];  aten_native_layer_norm_default_14 = None
2025-03-21T20:22:44.5208383Z             
2025-03-21T20:22:44.5209657Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5211569Z             aten_slice_copy_tensor_27: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_24, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5212951Z             aten_slice_copy_tensor_28: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_24, 0, 0, 8);  getitem_24 = None
2025-03-21T20:22:44.5213853Z             
2025-03-21T20:22:44.5215148Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5217253Z             aten_cat_default_40: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_28, aten_slice_copy_tensor_27])
2025-03-21T20:22:44.5220372Z             aten_native_layer_norm_default_15 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_40, [512], p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_input_bias, 1e-05);  aten_cat_default_40 = p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_input_bias = None
2025-03-21T20:22:44.5223252Z             getitem_25: "f32[39, 1, 512]" = aten_native_layer_norm_default_15[0];  aten_native_layer_norm_default_15 = None
2025-03-21T20:22:44.5223981Z             
2025-03-21T20:22:44.5225107Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5226814Z             aten_slice_copy_tensor_29: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_25, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5227696Z             
2025-03-21T20:22:44.5228807Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5230508Z             aten_slice_copy_tensor_30: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_25, 0, 0, 8);  getitem_25 = None
2025-03-21T20:22:44.5231408Z             
2025-03-21T20:22:44.5232569Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5234345Z             aten_cat_default_41: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_30, aten_slice_copy_tensor_29])
2025-03-21T20:22:44.5235860Z             aten_view_copy_default_73: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_41, [39, 512]);  aten_cat_default_41 = None
2025-03-21T20:22:44.5238096Z             aten_permute_copy_default_52: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5241440Z             aten_addmm_default_25: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_query_bias, aten_view_copy_default_73, aten_permute_copy_default_52);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_query_bias = aten_view_copy_default_73 = aten_permute_copy_default_52 = None
2025-03-21T20:22:44.5244333Z             aten_view_copy_default_74: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_25, [39, 1, 512]);  aten_addmm_default_25 = None
2025-03-21T20:22:44.5245370Z             
2025-03-21T20:22:44.5246678Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5248860Z             aten_cat_default_42: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_30, aten_slice_copy_tensor_29]);  aten_slice_copy_tensor_30 = aten_slice_copy_tensor_29 = None
2025-03-21T20:22:44.5250751Z             aten_view_copy_default_75: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_42, [39, 512]);  aten_cat_default_42 = None
2025-03-21T20:22:44.5253260Z             aten_permute_copy_default_53: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5256726Z             aten_addmm_default_26: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_key_value_bias, aten_view_copy_default_75, aten_permute_copy_default_53);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_emb_to_key_value_bias = aten_view_copy_default_75 = aten_permute_copy_default_53 = None
2025-03-21T20:22:44.5259516Z             aten_view_copy_default_76: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_26, [39, 1, 1024]);  aten_addmm_default_26 = None
2025-03-21T20:22:44.5261303Z             aten_split_with_sizes_copy_default_5 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_76, [512, 512], 2);  aten_view_copy_default_76 = None
2025-03-21T20:22:44.5262608Z             getitem_26: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_5[0]
2025-03-21T20:22:44.5263527Z             getitem_27: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_5[1];  aten_split_with_sizes_copy_default_5 = None
2025-03-21T20:22:44.5264284Z             
2025-03-21T20:22:44.5265562Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5267580Z             aten_view_copy_default_77: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_74, [-1, 8, 64]);  aten_view_copy_default_74 = None
2025-03-21T20:22:44.5269323Z             aten_permute_copy_default_54: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_77, [1, 0, 2]);  aten_view_copy_default_77 = None
2025-03-21T20:22:44.5271065Z             aten_clone_default_35: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_26, memory_format = torch.contiguous_format);  getitem_26 = None
2025-03-21T20:22:44.5272714Z             aten_view_copy_default_78: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_35, [-1, 8, 64]);  aten_clone_default_35 = None
2025-03-21T20:22:44.5274422Z             aten_permute_copy_default_55: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_78, [1, 0, 2]);  aten_view_copy_default_78 = None
2025-03-21T20:22:44.5276143Z             aten_clone_default_36: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_27, memory_format = torch.contiguous_format);  getitem_27 = None
2025-03-21T20:22:44.5277942Z             aten_view_copy_default_79: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_36, [-1, 8, 64]);  aten_clone_default_36 = None
2025-03-21T20:22:44.5279640Z             aten_permute_copy_default_56: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_79, [1, 0, 2]);  aten_view_copy_default_79 = None
2025-03-21T20:22:44.5280734Z             
2025-03-21T20:22:44.5282004Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5284192Z             aten_mul_tensor_5: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_54, _lifted_tensor_constant7);  aten_permute_copy_default_54 = _lifted_tensor_constant7 = None
2025-03-21T20:22:44.5286272Z             aten_permute_copy_default_57: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_55, [0, 2, 1]);  aten_permute_copy_default_55 = None
2025-03-21T20:22:44.5288157Z             aten_bmm_default_10: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_5, aten_permute_copy_default_57);  aten_mul_tensor_5 = aten_permute_copy_default_57 = None
2025-03-21T20:22:44.5289295Z             
2025-03-21T20:22:44.5290811Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.5292818Z             aten_unsqueeze_copy_default_5: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.5294291Z             scalar_tensor_5: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.5296233Z             aten_where_self_5: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_5, scalar_tensor_5, aten_bmm_default_10);  aten_unsqueeze_copy_default_5 = scalar_tensor_5 = aten_bmm_default_10 = None
2025-03-21T20:22:44.5297582Z             
2025-03-21T20:22:44.5298999Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.5301067Z             aten__softmax_default_5: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_5, -1, False);  aten_where_self_5 = None
2025-03-21T20:22:44.5302044Z             
2025-03-21T20:22:44.5303419Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.5305724Z             aten_clone_default_37: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_5);  aten__softmax_default_5 = None
2025-03-21T20:22:44.5306689Z             
2025-03-21T20:22:44.5307779Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.5309753Z             aten_bmm_default_11: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_37, aten_permute_copy_default_56);  aten_clone_default_37 = aten_permute_copy_default_56 = None
2025-03-21T20:22:44.5310959Z             
2025-03-21T20:22:44.5312173Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.5314419Z             aten_permute_copy_default_58: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_11, [1, 0, 2]);  aten_bmm_default_11 = None
2025-03-21T20:22:44.5316274Z             aten_clone_default_38: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_58, memory_format = torch.contiguous_format);  aten_permute_copy_default_58 = None
2025-03-21T20:22:44.5318130Z             aten_view_copy_default_80: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_38, [39, 1, 512]);  aten_clone_default_38 = None
2025-03-21T20:22:44.5319167Z             
2025-03-21T20:22:44.5320249Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.5322245Z             aten_view_copy_default_81: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_80, [39, 512]);  aten_view_copy_default_80 = None
2025-03-21T20:22:44.5324688Z             aten_permute_copy_default_59: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_out_proj_weight = None
2025-03-21T20:22:44.5328002Z             aten_addmm_default_27: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_5_attention_out_proj_bias, aten_view_copy_default_81, aten_permute_copy_default_59);  p_rnnt_transcriber_transformer_emformer_layers_5_attention_out_proj_bias = aten_view_copy_default_81 = aten_permute_copy_default_59 = None
2025-03-21T20:22:44.5330774Z             aten_view_copy_default_82: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_27, [39, 1, 512]);  aten_addmm_default_27 = None
2025-03-21T20:22:44.5331823Z             
2025-03-21T20:22:44.5333064Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.5334981Z             aten_clone_default_39: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_82);  aten_view_copy_default_82 = None
2025-03-21T20:22:44.5336774Z             aten_cat_default_43: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_28, aten_slice_copy_tensor_27]);  aten_slice_copy_tensor_28 = aten_slice_copy_tensor_27 = None
2025-03-21T20:22:44.5338684Z             aten_add_tensor_10: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_39, aten_cat_default_43);  aten_clone_default_39 = aten_cat_default_43 = None
2025-03-21T20:22:44.5339795Z             
2025-03-21T20:22:44.5340857Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.5343899Z             aten_native_layer_norm_default_16 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_10, [512], p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_0_bias = None
2025-03-21T20:22:44.5346490Z             getitem_28: "f32[39, 1, 512]" = aten_native_layer_norm_default_16[0];  aten_native_layer_norm_default_16 = None
2025-03-21T20:22:44.5347739Z             aten_view_copy_default_83: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_28, [39, 512]);  getitem_28 = None
2025-03-21T20:22:44.5349909Z             aten_permute_copy_default_60: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_1_weight = None
2025-03-21T20:22:44.5353016Z             aten_addmm_default_28: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_1_bias, aten_view_copy_default_83, aten_permute_copy_default_60);  p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_1_bias = aten_view_copy_default_83 = aten_permute_copy_default_60 = None
2025-03-21T20:22:44.5355621Z             aten_view_copy_default_84: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_28, [39, 1, 2048]);  aten_addmm_default_28 = None
2025-03-21T20:22:44.5357320Z             aten_gelu_default_5: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_84);  aten_view_copy_default_84 = None
2025-03-21T20:22:44.5358834Z             aten_clone_default_40: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_5);  aten_gelu_default_5 = None
2025-03-21T20:22:44.5360382Z             aten_view_copy_default_85: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_40, [39, 2048]);  aten_clone_default_40 = None
2025-03-21T20:22:44.5362509Z             aten_permute_copy_default_61: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_4_weight = None
2025-03-21T20:22:44.5365723Z             aten_addmm_default_29: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_4_bias, aten_view_copy_default_85, aten_permute_copy_default_61);  p_rnnt_transcriber_transformer_emformer_layers_5_pos_ff_4_bias = aten_view_copy_default_85 = aten_permute_copy_default_61 = None
2025-03-21T20:22:44.5368300Z             aten_view_copy_default_86: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_29, [39, 1, 512]);  aten_addmm_default_29 = None
2025-03-21T20:22:44.5369901Z             aten_clone_default_41: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_86);  aten_view_copy_default_86 = None
2025-03-21T20:22:44.5371628Z             aten_add_tensor_11: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_41, aten_add_tensor_10);  aten_clone_default_41 = aten_add_tensor_10 = None
2025-03-21T20:22:44.5372827Z             
2025-03-21T20:22:44.5373923Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5377297Z             aten_native_layer_norm_default_17 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_11, [512], p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_output_bias, 1e-05);  aten_add_tensor_11 = p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_5_layer_norm_output_bias = None
2025-03-21T20:22:44.5380195Z             getitem_29: "f32[39, 1, 512]" = aten_native_layer_norm_default_17[0];  aten_native_layer_norm_default_17 = None
2025-03-21T20:22:44.5380920Z             
2025-03-21T20:22:44.5382183Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5384189Z             aten_slice_copy_tensor_31: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_29, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5385569Z             aten_slice_copy_tensor_32: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_29, 0, 0, 8);  getitem_29 = None
2025-03-21T20:22:44.5386464Z             
2025-03-21T20:22:44.5387761Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5389678Z             aten_cat_default_44: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_32, aten_slice_copy_tensor_31])
2025-03-21T20:22:44.5392898Z             aten_native_layer_norm_default_18 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_44, [512], p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_input_bias, 1e-05);  aten_cat_default_44 = p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_input_bias = None
2025-03-21T20:22:44.5395807Z             getitem_30: "f32[39, 1, 512]" = aten_native_layer_norm_default_18[0];  aten_native_layer_norm_default_18 = None
2025-03-21T20:22:44.5396532Z             
2025-03-21T20:22:44.5397650Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5399350Z             aten_slice_copy_tensor_33: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_30, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5400250Z             
2025-03-21T20:22:44.5401379Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5403087Z             aten_slice_copy_tensor_34: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_30, 0, 0, 8);  getitem_30 = None
2025-03-21T20:22:44.5404239Z             
2025-03-21T20:22:44.5405423Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5407241Z             aten_cat_default_45: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_34, aten_slice_copy_tensor_33])
2025-03-21T20:22:44.5408763Z             aten_view_copy_default_87: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_45, [39, 512]);  aten_cat_default_45 = None
2025-03-21T20:22:44.5411113Z             aten_permute_copy_default_62: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5414472Z             aten_addmm_default_30: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_query_bias, aten_view_copy_default_87, aten_permute_copy_default_62);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_query_bias = aten_view_copy_default_87 = aten_permute_copy_default_62 = None
2025-03-21T20:22:44.5417187Z             aten_view_copy_default_88: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_30, [39, 1, 512]);  aten_addmm_default_30 = None
2025-03-21T20:22:44.5418630Z             
2025-03-21T20:22:44.5419926Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5422109Z             aten_cat_default_46: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_34, aten_slice_copy_tensor_33]);  aten_slice_copy_tensor_34 = aten_slice_copy_tensor_33 = None
2025-03-21T20:22:44.5424065Z             aten_view_copy_default_89: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_46, [39, 512]);  aten_cat_default_46 = None
2025-03-21T20:22:44.5426356Z             aten_permute_copy_default_63: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5429989Z             aten_addmm_default_31: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_key_value_bias, aten_view_copy_default_89, aten_permute_copy_default_63);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_emb_to_key_value_bias = aten_view_copy_default_89 = aten_permute_copy_default_63 = None
2025-03-21T20:22:44.5432787Z             aten_view_copy_default_90: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_31, [39, 1, 1024]);  aten_addmm_default_31 = None
2025-03-21T20:22:44.5434583Z             aten_split_with_sizes_copy_default_6 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_90, [512, 512], 2);  aten_view_copy_default_90 = None
2025-03-21T20:22:44.5435908Z             getitem_31: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_6[0]
2025-03-21T20:22:44.5436881Z             getitem_32: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_6[1];  aten_split_with_sizes_copy_default_6 = None
2025-03-21T20:22:44.5437736Z             
2025-03-21T20:22:44.5439006Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5441038Z             aten_view_copy_default_91: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_88, [-1, 8, 64]);  aten_view_copy_default_88 = None
2025-03-21T20:22:44.5442782Z             aten_permute_copy_default_64: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_91, [1, 0, 2]);  aten_view_copy_default_91 = None
2025-03-21T20:22:44.5444516Z             aten_clone_default_42: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_31, memory_format = torch.contiguous_format);  getitem_31 = None
2025-03-21T20:22:44.5446176Z             aten_view_copy_default_92: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_42, [-1, 8, 64]);  aten_clone_default_42 = None
2025-03-21T20:22:44.5447884Z             aten_permute_copy_default_65: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_92, [1, 0, 2]);  aten_view_copy_default_92 = None
2025-03-21T20:22:44.5449608Z             aten_clone_default_43: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_32, memory_format = torch.contiguous_format);  getitem_32 = None
2025-03-21T20:22:44.5451353Z             aten_view_copy_default_93: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_43, [-1, 8, 64]);  aten_clone_default_43 = None
2025-03-21T20:22:44.5453210Z             aten_permute_copy_default_66: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_93, [1, 0, 2]);  aten_view_copy_default_93 = None
2025-03-21T20:22:44.5454302Z             
2025-03-21T20:22:44.5455562Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5457741Z             aten_mul_tensor_6: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_64, _lifted_tensor_constant8);  aten_permute_copy_default_64 = _lifted_tensor_constant8 = None
2025-03-21T20:22:44.5459679Z             aten_permute_copy_default_67: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_65, [0, 2, 1]);  aten_permute_copy_default_65 = None
2025-03-21T20:22:44.5461639Z             aten_bmm_default_12: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_6, aten_permute_copy_default_67);  aten_mul_tensor_6 = aten_permute_copy_default_67 = None
2025-03-21T20:22:44.5462810Z             
2025-03-21T20:22:44.5464238Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.5466241Z             aten_unsqueeze_copy_default_6: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.5467702Z             scalar_tensor_6: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.5469637Z             aten_where_self_6: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_6, scalar_tensor_6, aten_bmm_default_12);  aten_unsqueeze_copy_default_6 = scalar_tensor_6 = aten_bmm_default_12 = None
2025-03-21T20:22:44.5470992Z             
2025-03-21T20:22:44.5472389Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.5474455Z             aten__softmax_default_6: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_6, -1, False);  aten_where_self_6 = None
2025-03-21T20:22:44.5475427Z             
2025-03-21T20:22:44.5476797Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.5478809Z             aten_clone_default_44: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_6);  aten__softmax_default_6 = None
2025-03-21T20:22:44.5479777Z             
2025-03-21T20:22:44.5480861Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.5482834Z             aten_bmm_default_13: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_44, aten_permute_copy_default_66);  aten_clone_default_44 = aten_permute_copy_default_66 = None
2025-03-21T20:22:44.5484026Z             
2025-03-21T20:22:44.5485235Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.5487157Z             aten_permute_copy_default_68: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_13, [1, 0, 2]);  aten_bmm_default_13 = None
2025-03-21T20:22:44.5489202Z             aten_clone_default_45: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_68, memory_format = torch.contiguous_format);  aten_permute_copy_default_68 = None
2025-03-21T20:22:44.5491143Z             aten_view_copy_default_94: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_45, [39, 1, 512]);  aten_clone_default_45 = None
2025-03-21T20:22:44.5492193Z             
2025-03-21T20:22:44.5493267Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.5495097Z             aten_view_copy_default_95: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_94, [39, 512]);  aten_view_copy_default_94 = None
2025-03-21T20:22:44.5497507Z             aten_permute_copy_default_69: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_out_proj_weight = None
2025-03-21T20:22:44.5507243Z             aten_addmm_default_32: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_6_attention_out_proj_bias, aten_view_copy_default_95, aten_permute_copy_default_69);  p_rnnt_transcriber_transformer_emformer_layers_6_attention_out_proj_bias = aten_view_copy_default_95 = aten_permute_copy_default_69 = None
2025-03-21T20:22:44.5509934Z             aten_view_copy_default_96: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_32, [39, 1, 512]);  aten_addmm_default_32 = None
2025-03-21T20:22:44.5510969Z             
2025-03-21T20:22:44.5512234Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.5514137Z             aten_clone_default_46: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_96);  aten_view_copy_default_96 = None
2025-03-21T20:22:44.5515971Z             aten_cat_default_47: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_32, aten_slice_copy_tensor_31]);  aten_slice_copy_tensor_32 = aten_slice_copy_tensor_31 = None
2025-03-21T20:22:44.5517870Z             aten_add_tensor_12: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_46, aten_cat_default_47);  aten_clone_default_46 = aten_cat_default_47 = None
2025-03-21T20:22:44.5518964Z             
2025-03-21T20:22:44.5520022Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.5523046Z             aten_native_layer_norm_default_19 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_12, [512], p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_0_bias = None
2025-03-21T20:22:44.5525624Z             getitem_33: "f32[39, 1, 512]" = aten_native_layer_norm_default_19[0];  aten_native_layer_norm_default_19 = None
2025-03-21T20:22:44.5526870Z             aten_view_copy_default_97: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_33, [39, 512]);  getitem_33 = None
2025-03-21T20:22:44.5528921Z             aten_permute_copy_default_70: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_1_weight = None
2025-03-21T20:22:44.5532458Z             aten_addmm_default_33: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_1_bias, aten_view_copy_default_97, aten_permute_copy_default_70);  p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_1_bias = aten_view_copy_default_97 = aten_permute_copy_default_70 = None
2025-03-21T20:22:44.5535036Z             aten_view_copy_default_98: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_33, [39, 1, 2048]);  aten_addmm_default_33 = None
2025-03-21T20:22:44.5536642Z             aten_gelu_default_6: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_98);  aten_view_copy_default_98 = None
2025-03-21T20:22:44.5538337Z             aten_clone_default_47: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_6);  aten_gelu_default_6 = None
2025-03-21T20:22:44.5539908Z             aten_view_copy_default_99: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_47, [39, 2048]);  aten_clone_default_47 = None
2025-03-21T20:22:44.5542251Z             aten_permute_copy_default_71: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_4_weight = None
2025-03-21T20:22:44.5545282Z             aten_addmm_default_34: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_4_bias, aten_view_copy_default_99, aten_permute_copy_default_71);  p_rnnt_transcriber_transformer_emformer_layers_6_pos_ff_4_bias = aten_view_copy_default_99 = aten_permute_copy_default_71 = None
2025-03-21T20:22:44.5547849Z             aten_view_copy_default_100: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_34, [39, 1, 512]);  aten_addmm_default_34 = None
2025-03-21T20:22:44.5549468Z             aten_clone_default_48: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_100);  aten_view_copy_default_100 = None
2025-03-21T20:22:44.5551129Z             aten_add_tensor_13: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_48, aten_add_tensor_12);  aten_clone_default_48 = aten_add_tensor_12 = None
2025-03-21T20:22:44.5552208Z             
2025-03-21T20:22:44.5553296Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5556661Z             aten_native_layer_norm_default_20 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_13, [512], p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_output_bias, 1e-05);  aten_add_tensor_13 = p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_6_layer_norm_output_bias = None
2025-03-21T20:22:44.5559564Z             getitem_34: "f32[39, 1, 512]" = aten_native_layer_norm_default_20[0];  aten_native_layer_norm_default_20 = None
2025-03-21T20:22:44.5560292Z             
2025-03-21T20:22:44.5561572Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5576602Z             aten_slice_copy_tensor_35: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_34, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5578301Z             aten_slice_copy_tensor_36: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_34, 0, 0, 8);  getitem_34 = None
2025-03-21T20:22:44.5579207Z             
2025-03-21T20:22:44.5580529Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5582463Z             aten_cat_default_48: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_36, aten_slice_copy_tensor_35])
2025-03-21T20:22:44.5585704Z             aten_native_layer_norm_default_21 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_48, [512], p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_input_bias, 1e-05);  aten_cat_default_48 = p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_input_bias = None
2025-03-21T20:22:44.5588619Z             getitem_35: "f32[39, 1, 512]" = aten_native_layer_norm_default_21[0];  aten_native_layer_norm_default_21 = None
2025-03-21T20:22:44.5589357Z             
2025-03-21T20:22:44.5590631Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5592325Z             aten_slice_copy_tensor_37: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_35, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5593217Z             
2025-03-21T20:22:44.5594328Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5596037Z             aten_slice_copy_tensor_38: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_35, 0, 0, 8);  getitem_35 = None
2025-03-21T20:22:44.5596943Z             
2025-03-21T20:22:44.5598107Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5599877Z             aten_cat_default_49: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_38, aten_slice_copy_tensor_37])
2025-03-21T20:22:44.5601394Z             aten_view_copy_default_101: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_49, [39, 512]);  aten_cat_default_49 = None
2025-03-21T20:22:44.5603648Z             aten_permute_copy_default_72: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5607293Z             aten_addmm_default_35: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_query_bias, aten_view_copy_default_101, aten_permute_copy_default_72);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_query_bias = aten_view_copy_default_101 = aten_permute_copy_default_72 = None
2025-03-21T20:22:44.5610052Z             aten_view_copy_default_102: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_35, [39, 1, 512]);  aten_addmm_default_35 = None
2025-03-21T20:22:44.5611184Z             
2025-03-21T20:22:44.5612528Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5615011Z             aten_cat_default_50: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_38, aten_slice_copy_tensor_37]);  aten_slice_copy_tensor_38 = aten_slice_copy_tensor_37 = None
2025-03-21T20:22:44.5616821Z             aten_view_copy_default_103: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_50, [39, 512]);  aten_cat_default_50 = None
2025-03-21T20:22:44.5619115Z             aten_permute_copy_default_73: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5622751Z             aten_addmm_default_36: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_key_value_bias, aten_view_copy_default_103, aten_permute_copy_default_73);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_emb_to_key_value_bias = aten_view_copy_default_103 = aten_permute_copy_default_73 = None
2025-03-21T20:22:44.5625569Z             aten_view_copy_default_104: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_36, [39, 1, 1024]);  aten_addmm_default_36 = None
2025-03-21T20:22:44.5627599Z             aten_split_with_sizes_copy_default_7 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_104, [512, 512], 2);  aten_view_copy_default_104 = None
2025-03-21T20:22:44.5628979Z             getitem_36: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_7[0]
2025-03-21T20:22:44.5630063Z             getitem_37: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_7[1];  aten_split_with_sizes_copy_default_7 = None
2025-03-21T20:22:44.5630974Z             
2025-03-21T20:22:44.5632310Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5634374Z             aten_view_copy_default_105: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_102, [-1, 8, 64]);  aten_view_copy_default_102 = None
2025-03-21T20:22:44.5636137Z             aten_permute_copy_default_74: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_105, [1, 0, 2]);  aten_view_copy_default_105 = None
2025-03-21T20:22:44.5637874Z             aten_clone_default_49: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_36, memory_format = torch.contiguous_format);  getitem_36 = None
2025-03-21T20:22:44.5639541Z             aten_view_copy_default_106: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_49, [-1, 8, 64]);  aten_clone_default_49 = None
2025-03-21T20:22:44.5641271Z             aten_permute_copy_default_75: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_106, [1, 0, 2]);  aten_view_copy_default_106 = None
2025-03-21T20:22:44.5643004Z             aten_clone_default_50: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_37, memory_format = torch.contiguous_format);  getitem_37 = None
2025-03-21T20:22:44.5644685Z             aten_view_copy_default_107: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_50, [-1, 8, 64]);  aten_clone_default_50 = None
2025-03-21T20:22:44.5646395Z             aten_permute_copy_default_76: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_107, [1, 0, 2]);  aten_view_copy_default_107 = None
2025-03-21T20:22:44.5647616Z             
2025-03-21T20:22:44.5648891Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5651182Z             aten_mul_tensor_7: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_74, _lifted_tensor_constant9);  aten_permute_copy_default_74 = _lifted_tensor_constant9 = None
2025-03-21T20:22:44.5653138Z             aten_permute_copy_default_77: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_75, [0, 2, 1]);  aten_permute_copy_default_75 = None
2025-03-21T20:22:44.5655005Z             aten_bmm_default_14: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_7, aten_permute_copy_default_77);  aten_mul_tensor_7 = aten_permute_copy_default_77 = None
2025-03-21T20:22:44.5656156Z             
2025-03-21T20:22:44.5657715Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.5659726Z             aten_unsqueeze_copy_default_7: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.5661299Z             scalar_tensor_7: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.5663226Z             aten_where_self_7: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_7, scalar_tensor_7, aten_bmm_default_14);  aten_unsqueeze_copy_default_7 = scalar_tensor_7 = aten_bmm_default_14 = None
2025-03-21T20:22:44.5664576Z             
2025-03-21T20:22:44.5665990Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.5668073Z             aten__softmax_default_7: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_7, -1, False);  aten_where_self_7 = None
2025-03-21T20:22:44.5669101Z             
2025-03-21T20:22:44.5670480Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.5672498Z             aten_clone_default_51: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_7);  aten__softmax_default_7 = None
2025-03-21T20:22:44.5673448Z             
2025-03-21T20:22:44.5674543Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.5676530Z             aten_bmm_default_15: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_51, aten_permute_copy_default_76);  aten_clone_default_51 = aten_permute_copy_default_76 = None
2025-03-21T20:22:44.5677727Z             
2025-03-21T20:22:44.5678938Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.5680865Z             aten_permute_copy_default_78: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_15, [1, 0, 2]);  aten_bmm_default_15 = None
2025-03-21T20:22:44.5682719Z             aten_clone_default_52: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_78, memory_format = torch.contiguous_format);  aten_permute_copy_default_78 = None
2025-03-21T20:22:44.5684682Z             aten_view_copy_default_108: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_52, [39, 1, 512]);  aten_clone_default_52 = None
2025-03-21T20:22:44.5685731Z             
2025-03-21T20:22:44.5686794Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.5688623Z             aten_view_copy_default_109: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_108, [39, 512]);  aten_view_copy_default_108 = None
2025-03-21T20:22:44.5691162Z             aten_permute_copy_default_79: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_out_proj_weight = None
2025-03-21T20:22:44.5694471Z             aten_addmm_default_37: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_7_attention_out_proj_bias, aten_view_copy_default_109, aten_permute_copy_default_79);  p_rnnt_transcriber_transformer_emformer_layers_7_attention_out_proj_bias = aten_view_copy_default_109 = aten_permute_copy_default_79 = None
2025-03-21T20:22:44.5697272Z             aten_view_copy_default_110: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_37, [39, 1, 512]);  aten_addmm_default_37 = None
2025-03-21T20:22:44.5698302Z             
2025-03-21T20:22:44.5699541Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.5701473Z             aten_clone_default_53: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_110);  aten_view_copy_default_110 = None
2025-03-21T20:22:44.5703307Z             aten_cat_default_51: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_36, aten_slice_copy_tensor_35]);  aten_slice_copy_tensor_36 = aten_slice_copy_tensor_35 = None
2025-03-21T20:22:44.5705472Z             aten_add_tensor_14: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_53, aten_cat_default_51);  aten_clone_default_53 = aten_cat_default_51 = None
2025-03-21T20:22:44.5706569Z             
2025-03-21T20:22:44.5707641Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.5710671Z             aten_native_layer_norm_default_22 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_14, [512], p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_0_bias = None
2025-03-21T20:22:44.5713253Z             getitem_38: "f32[39, 1, 512]" = aten_native_layer_norm_default_22[0];  aten_native_layer_norm_default_22 = None
2025-03-21T20:22:44.5714488Z             aten_view_copy_default_111: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_38, [39, 512]);  getitem_38 = None
2025-03-21T20:22:44.5716494Z             aten_permute_copy_default_80: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_1_weight = None
2025-03-21T20:22:44.5719839Z             aten_addmm_default_38: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_1_bias, aten_view_copy_default_111, aten_permute_copy_default_80);  p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_1_bias = aten_view_copy_default_111 = aten_permute_copy_default_80 = None
2025-03-21T20:22:44.5722439Z             aten_view_copy_default_112: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_38, [39, 1, 2048]);  aten_addmm_default_38 = None
2025-03-21T20:22:44.5724068Z             aten_gelu_default_7: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_112);  aten_view_copy_default_112 = None
2025-03-21T20:22:44.5725576Z             aten_clone_default_54: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_7);  aten_gelu_default_7 = None
2025-03-21T20:22:44.5727312Z             aten_view_copy_default_113: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_54, [39, 2048]);  aten_clone_default_54 = None
2025-03-21T20:22:44.5729469Z             aten_permute_copy_default_81: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_4_weight = None
2025-03-21T20:22:44.5732728Z             aten_addmm_default_39: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_4_bias, aten_view_copy_default_113, aten_permute_copy_default_81);  p_rnnt_transcriber_transformer_emformer_layers_7_pos_ff_4_bias = aten_view_copy_default_113 = aten_permute_copy_default_81 = None
2025-03-21T20:22:44.5735307Z             aten_view_copy_default_114: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_39, [39, 1, 512]);  aten_addmm_default_39 = None
2025-03-21T20:22:44.5736935Z             aten_clone_default_55: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_114);  aten_view_copy_default_114 = None
2025-03-21T20:22:44.5738607Z             aten_add_tensor_15: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_55, aten_add_tensor_14);  aten_clone_default_55 = aten_add_tensor_14 = None
2025-03-21T20:22:44.5739695Z             
2025-03-21T20:22:44.5740774Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5744148Z             aten_native_layer_norm_default_23 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_15, [512], p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_output_bias, 1e-05);  aten_add_tensor_15 = p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_7_layer_norm_output_bias = None
2025-03-21T20:22:44.5747060Z             getitem_39: "f32[39, 1, 512]" = aten_native_layer_norm_default_23[0];  aten_native_layer_norm_default_23 = None
2025-03-21T20:22:44.5747789Z             
2025-03-21T20:22:44.5749045Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5750880Z             aten_slice_copy_tensor_39: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_39, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5752256Z             aten_slice_copy_tensor_40: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_39, 0, 0, 8);  getitem_39 = None
2025-03-21T20:22:44.5753280Z             
2025-03-21T20:22:44.5754640Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5756756Z             aten_cat_default_52: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_40, aten_slice_copy_tensor_39])
2025-03-21T20:22:44.5759931Z             aten_native_layer_norm_default_24 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_52, [512], p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_input_bias, 1e-05);  aten_cat_default_52 = p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_input_bias = None
2025-03-21T20:22:44.5763208Z             getitem_40: "f32[39, 1, 512]" = aten_native_layer_norm_default_24[0];  aten_native_layer_norm_default_24 = None
2025-03-21T20:22:44.5763958Z             
2025-03-21T20:22:44.5765111Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5766957Z             aten_slice_copy_tensor_41: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_40, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5767959Z             
2025-03-21T20:22:44.5769159Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5771035Z             aten_slice_copy_tensor_42: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_40, 0, 0, 8);  getitem_40 = None
2025-03-21T20:22:44.5772065Z             
2025-03-21T20:22:44.5773298Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5775142Z             aten_cat_default_53: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_42, aten_slice_copy_tensor_41])
2025-03-21T20:22:44.5776734Z             aten_view_copy_default_115: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_53, [39, 512]);  aten_cat_default_53 = None
2025-03-21T20:22:44.5779039Z             aten_permute_copy_default_82: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5782475Z             aten_addmm_default_40: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_query_bias, aten_view_copy_default_115, aten_permute_copy_default_82);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_query_bias = aten_view_copy_default_115 = aten_permute_copy_default_82 = None
2025-03-21T20:22:44.5785316Z             aten_view_copy_default_116: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_40, [39, 1, 512]);  aten_addmm_default_40 = None
2025-03-21T20:22:44.5786415Z             
2025-03-21T20:22:44.5787765Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5790046Z             aten_cat_default_54: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_42, aten_slice_copy_tensor_41]);  aten_slice_copy_tensor_42 = aten_slice_copy_tensor_41 = None
2025-03-21T20:22:44.5792099Z             aten_view_copy_default_117: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_54, [39, 512]);  aten_cat_default_54 = None
2025-03-21T20:22:44.5794454Z             aten_permute_copy_default_83: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5798030Z             aten_addmm_default_41: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_key_value_bias, aten_view_copy_default_117, aten_permute_copy_default_83);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_emb_to_key_value_bias = aten_view_copy_default_117 = aten_permute_copy_default_83 = None
2025-03-21T20:22:44.5801018Z             aten_view_copy_default_118: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_41, [39, 1, 1024]);  aten_addmm_default_41 = None
2025-03-21T20:22:44.5802841Z             aten_split_with_sizes_copy_default_8 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_118, [512, 512], 2);  aten_view_copy_default_118 = None
2025-03-21T20:22:44.5804480Z             getitem_41: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_8[0]
2025-03-21T20:22:44.5805386Z             getitem_42: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_8[1];  aten_split_with_sizes_copy_default_8 = None
2025-03-21T20:22:44.5806145Z             
2025-03-21T20:22:44.5807412Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5809452Z             aten_view_copy_default_119: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_116, [-1, 8, 64]);  aten_view_copy_default_116 = None
2025-03-21T20:22:44.5811290Z             aten_permute_copy_default_84: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_119, [1, 0, 2]);  aten_view_copy_default_119 = None
2025-03-21T20:22:44.5813026Z             aten_clone_default_56: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_41, memory_format = torch.contiguous_format);  getitem_41 = None
2025-03-21T20:22:44.5814690Z             aten_view_copy_default_120: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_56, [-1, 8, 64]);  aten_clone_default_56 = None
2025-03-21T20:22:44.5816410Z             aten_permute_copy_default_85: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_120, [1, 0, 2]);  aten_view_copy_default_120 = None
2025-03-21T20:22:44.5818156Z             aten_clone_default_57: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_42, memory_format = torch.contiguous_format);  getitem_42 = None
2025-03-21T20:22:44.5819814Z             aten_view_copy_default_121: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_57, [-1, 8, 64]);  aten_clone_default_57 = None
2025-03-21T20:22:44.5821531Z             aten_permute_copy_default_86: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_121, [1, 0, 2]);  aten_view_copy_default_121 = None
2025-03-21T20:22:44.5822628Z             
2025-03-21T20:22:44.5823905Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5826367Z             aten_mul_tensor_8: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_84, _lifted_tensor_constant10);  aten_permute_copy_default_84 = _lifted_tensor_constant10 = None
2025-03-21T20:22:44.5828327Z             aten_permute_copy_default_87: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_85, [0, 2, 1]);  aten_permute_copy_default_85 = None
2025-03-21T20:22:44.5830195Z             aten_bmm_default_16: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_8, aten_permute_copy_default_87);  aten_mul_tensor_8 = aten_permute_copy_default_87 = None
2025-03-21T20:22:44.5831346Z             
2025-03-21T20:22:44.5832777Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.5835000Z             aten_unsqueeze_copy_default_8: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.5836498Z             scalar_tensor_8: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.5838562Z             aten_where_self_8: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_8, scalar_tensor_8, aten_bmm_default_16);  aten_unsqueeze_copy_default_8 = scalar_tensor_8 = aten_bmm_default_16 = None
2025-03-21T20:22:44.5839915Z             
2025-03-21T20:22:44.5841333Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.5843425Z             aten__softmax_default_8: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_8, -1, False);  aten_where_self_8 = None
2025-03-21T20:22:44.5844410Z             
2025-03-21T20:22:44.5845791Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.5847810Z             aten_clone_default_58: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_8);  aten__softmax_default_8 = None
2025-03-21T20:22:44.5848755Z             
2025-03-21T20:22:44.5849845Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.5851925Z             aten_bmm_default_17: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_58, aten_permute_copy_default_86);  aten_clone_default_58 = aten_permute_copy_default_86 = None
2025-03-21T20:22:44.5853133Z             
2025-03-21T20:22:44.5854335Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.5856258Z             aten_permute_copy_default_88: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_17, [1, 0, 2]);  aten_bmm_default_17 = None
2025-03-21T20:22:44.5858111Z             aten_clone_default_59: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_88, memory_format = torch.contiguous_format);  aten_permute_copy_default_88 = None
2025-03-21T20:22:44.5859974Z             aten_view_copy_default_122: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_59, [39, 1, 512]);  aten_clone_default_59 = None
2025-03-21T20:22:44.5861113Z             
2025-03-21T20:22:44.5862183Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.5864007Z             aten_view_copy_default_123: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_122, [39, 512]);  aten_view_copy_default_122 = None
2025-03-21T20:22:44.5866283Z             aten_permute_copy_default_89: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_out_proj_weight = None
2025-03-21T20:22:44.5869680Z             aten_addmm_default_42: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_8_attention_out_proj_bias, aten_view_copy_default_123, aten_permute_copy_default_89);  p_rnnt_transcriber_transformer_emformer_layers_8_attention_out_proj_bias = aten_view_copy_default_123 = aten_permute_copy_default_89 = None
2025-03-21T20:22:44.5872399Z             aten_view_copy_default_124: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_42, [39, 1, 512]);  aten_addmm_default_42 = None
2025-03-21T20:22:44.5873527Z             
2025-03-21T20:22:44.5874772Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.5876702Z             aten_clone_default_60: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_124);  aten_view_copy_default_124 = None
2025-03-21T20:22:44.5878520Z             aten_cat_default_55: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_40, aten_slice_copy_tensor_39]);  aten_slice_copy_tensor_40 = aten_slice_copy_tensor_39 = None
2025-03-21T20:22:44.5880426Z             aten_add_tensor_16: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_60, aten_cat_default_55);  aten_clone_default_60 = aten_cat_default_55 = None
2025-03-21T20:22:44.5881540Z             
2025-03-21T20:22:44.5882597Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.5885642Z             aten_native_layer_norm_default_25 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_16, [512], p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_0_bias = None
2025-03-21T20:22:44.5888241Z             getitem_43: "f32[39, 1, 512]" = aten_native_layer_norm_default_25[0];  aten_native_layer_norm_default_25 = None
2025-03-21T20:22:44.5889484Z             aten_view_copy_default_125: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_43, [39, 512]);  getitem_43 = None
2025-03-21T20:22:44.5891597Z             aten_permute_copy_default_90: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_1_weight = None
2025-03-21T20:22:44.5894675Z             aten_addmm_default_43: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_1_bias, aten_view_copy_default_125, aten_permute_copy_default_90);  p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_1_bias = aten_view_copy_default_125 = aten_permute_copy_default_90 = None
2025-03-21T20:22:44.5897378Z             aten_view_copy_default_126: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_43, [39, 1, 2048]);  aten_addmm_default_43 = None
2025-03-21T20:22:44.5899023Z             aten_gelu_default_8: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_126);  aten_view_copy_default_126 = None
2025-03-21T20:22:44.5900533Z             aten_clone_default_61: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_8);  aten_gelu_default_8 = None
2025-03-21T20:22:44.5902090Z             aten_view_copy_default_127: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_61, [39, 2048]);  aten_clone_default_61 = None
2025-03-21T20:22:44.5904774Z             aten_permute_copy_default_91: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_4_weight = None
2025-03-21T20:22:44.5907867Z             aten_addmm_default_44: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_4_bias, aten_view_copy_default_127, aten_permute_copy_default_91);  p_rnnt_transcriber_transformer_emformer_layers_8_pos_ff_4_bias = aten_view_copy_default_127 = aten_permute_copy_default_91 = None
2025-03-21T20:22:44.5910625Z             aten_view_copy_default_128: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_44, [39, 1, 512]);  aten_addmm_default_44 = None
2025-03-21T20:22:44.5912255Z             aten_clone_default_62: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_128);  aten_view_copy_default_128 = None
2025-03-21T20:22:44.5913929Z             aten_add_tensor_17: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_62, aten_add_tensor_16);  aten_clone_default_62 = aten_add_tensor_16 = None
2025-03-21T20:22:44.5915018Z             
2025-03-21T20:22:44.5916092Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.5919474Z             aten_native_layer_norm_default_26 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_17, [512], p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_output_bias, 1e-05);  aten_add_tensor_17 = p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_8_layer_norm_output_bias = None
2025-03-21T20:22:44.5922379Z             getitem_44: "f32[39, 1, 512]" = aten_native_layer_norm_default_26[0];  aten_native_layer_norm_default_26 = None
2025-03-21T20:22:44.5923100Z             
2025-03-21T20:22:44.5924359Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.5926193Z             aten_slice_copy_tensor_43: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_44, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5927572Z             aten_slice_copy_tensor_44: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_44, 0, 0, 8);  getitem_44 = None
2025-03-21T20:22:44.5928467Z             
2025-03-21T20:22:44.5929765Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.5932032Z             aten_cat_default_56: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_44, aten_slice_copy_tensor_43])
2025-03-21T20:22:44.5935168Z             aten_native_layer_norm_default_27 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_56, [512], p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_input_bias, 1e-05);  aten_cat_default_56 = p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_input_bias = None
2025-03-21T20:22:44.5938084Z             getitem_45: "f32[39, 1, 512]" = aten_native_layer_norm_default_27[0];  aten_native_layer_norm_default_27 = None
2025-03-21T20:22:44.5938816Z             
2025-03-21T20:22:44.5940048Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.5941767Z             aten_slice_copy_tensor_45: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_45, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.5942744Z             
2025-03-21T20:22:44.5943863Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.5945566Z             aten_slice_copy_tensor_46: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_45, 0, 0, 8);  getitem_45 = None
2025-03-21T20:22:44.5946459Z             
2025-03-21T20:22:44.5947622Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.5949400Z             aten_cat_default_57: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_46, aten_slice_copy_tensor_45])
2025-03-21T20:22:44.5950921Z             aten_view_copy_default_129: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_57, [39, 512]);  aten_cat_default_57 = None
2025-03-21T20:22:44.5953175Z             aten_permute_copy_default_92: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_query_weight = None
2025-03-21T20:22:44.5956537Z             aten_addmm_default_45: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_query_bias, aten_view_copy_default_129, aten_permute_copy_default_92);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_query_bias = aten_view_copy_default_129 = aten_permute_copy_default_92 = None
2025-03-21T20:22:44.5959271Z             aten_view_copy_default_130: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_45, [39, 1, 512]);  aten_addmm_default_45 = None
2025-03-21T20:22:44.5960307Z             
2025-03-21T20:22:44.5961595Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.5963781Z             aten_cat_default_58: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_46, aten_slice_copy_tensor_45]);  aten_slice_copy_tensor_46 = aten_slice_copy_tensor_45 = None
2025-03-21T20:22:44.5965587Z             aten_view_copy_default_131: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_58, [39, 512]);  aten_cat_default_58 = None
2025-03-21T20:22:44.5968073Z             aten_permute_copy_default_93: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.5971735Z             aten_addmm_default_46: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_key_value_bias, aten_view_copy_default_131, aten_permute_copy_default_93);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_emb_to_key_value_bias = aten_view_copy_default_131 = aten_permute_copy_default_93 = None
2025-03-21T20:22:44.5974530Z             aten_view_copy_default_132: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_46, [39, 1, 1024]);  aten_addmm_default_46 = None
2025-03-21T20:22:44.5976433Z             aten_split_with_sizes_copy_default_9 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_132, [512, 512], 2);  aten_view_copy_default_132 = None
2025-03-21T20:22:44.5977760Z             getitem_46: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_9[0]
2025-03-21T20:22:44.5978791Z             getitem_47: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_9[1];  aten_split_with_sizes_copy_default_9 = None
2025-03-21T20:22:44.5979558Z             
2025-03-21T20:22:44.5980830Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.5982856Z             aten_view_copy_default_133: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_130, [-1, 8, 64]);  aten_view_copy_default_130 = None
2025-03-21T20:22:44.5984624Z             aten_permute_copy_default_94: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_133, [1, 0, 2]);  aten_view_copy_default_133 = None
2025-03-21T20:22:44.5986351Z             aten_clone_default_63: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_46, memory_format = torch.contiguous_format);  getitem_46 = None
2025-03-21T20:22:44.5988012Z             aten_view_copy_default_134: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_63, [-1, 8, 64]);  aten_clone_default_63 = None
2025-03-21T20:22:44.5989716Z             aten_permute_copy_default_95: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_134, [1, 0, 2]);  aten_view_copy_default_134 = None
2025-03-21T20:22:44.5991451Z             aten_clone_default_64: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_47, memory_format = torch.contiguous_format);  getitem_47 = None
2025-03-21T20:22:44.5993108Z             aten_view_copy_default_135: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_64, [-1, 8, 64]);  aten_clone_default_64 = None
2025-03-21T20:22:44.5994824Z             aten_permute_copy_default_96: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_135, [1, 0, 2]);  aten_view_copy_default_135 = None
2025-03-21T20:22:44.5995913Z             
2025-03-21T20:22:44.5997189Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.5999401Z             aten_mul_tensor_9: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_94, _lifted_tensor_constant11);  aten_permute_copy_default_94 = _lifted_tensor_constant11 = None
2025-03-21T20:22:44.6001463Z             aten_permute_copy_default_97: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_95, [0, 2, 1]);  aten_permute_copy_default_95 = None
2025-03-21T20:22:44.6003330Z             aten_bmm_default_18: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_9, aten_permute_copy_default_97);  aten_mul_tensor_9 = aten_permute_copy_default_97 = None
2025-03-21T20:22:44.6004786Z             
2025-03-21T20:22:44.6006219Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6008229Z             aten_unsqueeze_copy_default_9: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6009967Z             scalar_tensor_9: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6012007Z             aten_where_self_9: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_9, scalar_tensor_9, aten_bmm_default_18);  aten_unsqueeze_copy_default_9 = scalar_tensor_9 = aten_bmm_default_18 = None
2025-03-21T20:22:44.6013542Z             
2025-03-21T20:22:44.6014955Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6017029Z             aten__softmax_default_9: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_9, -1, False);  aten_where_self_9 = None
2025-03-21T20:22:44.6018008Z             
2025-03-21T20:22:44.6019405Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6021427Z             aten_clone_default_65: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_9);  aten__softmax_default_9 = None
2025-03-21T20:22:44.6022388Z             
2025-03-21T20:22:44.6023472Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6025456Z             aten_bmm_default_19: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_65, aten_permute_copy_default_96);  aten_clone_default_65 = aten_permute_copy_default_96 = None
2025-03-21T20:22:44.6026663Z             
2025-03-21T20:22:44.6027872Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6029794Z             aten_permute_copy_default_98: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_19, [1, 0, 2]);  aten_bmm_default_19 = None
2025-03-21T20:22:44.6031647Z             aten_clone_default_66: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_98, memory_format = torch.contiguous_format);  aten_permute_copy_default_98 = None
2025-03-21T20:22:44.6033507Z             aten_view_copy_default_136: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_66, [39, 1, 512]);  aten_clone_default_66 = None
2025-03-21T20:22:44.6034545Z             
2025-03-21T20:22:44.6035816Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6037656Z             aten_view_copy_default_137: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_136, [39, 512]);  aten_view_copy_default_136 = None
2025-03-21T20:22:44.6039985Z             aten_permute_copy_default_99: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_out_proj_weight = None
2025-03-21T20:22:44.6043370Z             aten_addmm_default_47: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_9_attention_out_proj_bias, aten_view_copy_default_137, aten_permute_copy_default_99);  p_rnnt_transcriber_transformer_emformer_layers_9_attention_out_proj_bias = aten_view_copy_default_137 = aten_permute_copy_default_99 = None
2025-03-21T20:22:44.6046095Z             aten_view_copy_default_138: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_47, [39, 1, 512]);  aten_addmm_default_47 = None
2025-03-21T20:22:44.6047132Z             
2025-03-21T20:22:44.6048453Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6050377Z             aten_clone_default_67: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_138);  aten_view_copy_default_138 = None
2025-03-21T20:22:44.6052276Z             aten_cat_default_59: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_44, aten_slice_copy_tensor_43]);  aten_slice_copy_tensor_44 = aten_slice_copy_tensor_43 = None
2025-03-21T20:22:44.6054187Z             aten_add_tensor_18: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_67, aten_cat_default_59);  aten_clone_default_67 = aten_cat_default_59 = None
2025-03-21T20:22:44.6055285Z             
2025-03-21T20:22:44.6056350Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6059388Z             aten_native_layer_norm_default_28 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_18, [512], p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_0_bias = None
2025-03-21T20:22:44.6061974Z             getitem_48: "f32[39, 1, 512]" = aten_native_layer_norm_default_28[0];  aten_native_layer_norm_default_28 = None
2025-03-21T20:22:44.6063224Z             aten_view_copy_default_139: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_48, [39, 512]);  getitem_48 = None
2025-03-21T20:22:44.6065241Z             aten_permute_copy_default_100: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_1_weight = None
2025-03-21T20:22:44.6068327Z             aten_addmm_default_48: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_1_bias, aten_view_copy_default_139, aten_permute_copy_default_100);  p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_1_bias = aten_view_copy_default_139 = aten_permute_copy_default_100 = None
2025-03-21T20:22:44.6070934Z             aten_view_copy_default_140: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_48, [39, 1, 2048]);  aten_addmm_default_48 = None
2025-03-21T20:22:44.6072672Z             aten_gelu_default_9: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_140);  aten_view_copy_default_140 = None
2025-03-21T20:22:44.6074190Z             aten_clone_default_68: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_9);  aten_gelu_default_9 = None
2025-03-21T20:22:44.6075751Z             aten_view_copy_default_141: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_68, [39, 2048]);  aten_clone_default_68 = None
2025-03-21T20:22:44.6077890Z             aten_permute_copy_default_101: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_4_weight = None
2025-03-21T20:22:44.6081056Z             aten_addmm_default_49: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_4_bias, aten_view_copy_default_141, aten_permute_copy_default_101);  p_rnnt_transcriber_transformer_emformer_layers_9_pos_ff_4_bias = aten_view_copy_default_141 = aten_permute_copy_default_101 = None
2025-03-21T20:22:44.6083756Z             aten_view_copy_default_142: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_49, [39, 1, 512]);  aten_addmm_default_49 = None
2025-03-21T20:22:44.6085373Z             aten_clone_default_69: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_142);  aten_view_copy_default_142 = None
2025-03-21T20:22:44.6087032Z             aten_add_tensor_19: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_69, aten_add_tensor_18);  aten_clone_default_69 = aten_add_tensor_18 = None
2025-03-21T20:22:44.6088108Z             
2025-03-21T20:22:44.6089190Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6092643Z             aten_native_layer_norm_default_29 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_19, [512], p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_output_bias, 1e-05);  aten_add_tensor_19 = p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_9_layer_norm_output_bias = None
2025-03-21T20:22:44.6095542Z             getitem_49: "f32[39, 1, 512]" = aten_native_layer_norm_default_29[0];  aten_native_layer_norm_default_29 = None
2025-03-21T20:22:44.6096266Z             
2025-03-21T20:22:44.6097533Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6099364Z             aten_slice_copy_tensor_47: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_49, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6100735Z             aten_slice_copy_tensor_48: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_49, 0, 0, 8);  getitem_49 = None
2025-03-21T20:22:44.6101631Z             
2025-03-21T20:22:44.6102939Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6105221Z             aten_cat_default_60: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_48, aten_slice_copy_tensor_47])
2025-03-21T20:22:44.6108577Z             aten_native_layer_norm_default_30 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_60, [512], p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_input_bias, 1e-05);  aten_cat_default_60 = p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_input_bias = None
2025-03-21T20:22:44.6111479Z             getitem_50: "f32[39, 1, 512]" = aten_native_layer_norm_default_30[0];  aten_native_layer_norm_default_30 = None
2025-03-21T20:22:44.6112208Z             
2025-03-21T20:22:44.6113331Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6115175Z             aten_slice_copy_tensor_49: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_50, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6116068Z             
2025-03-21T20:22:44.6117180Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6119035Z             aten_slice_copy_tensor_50: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_50, 0, 0, 8);  getitem_50 = None
2025-03-21T20:22:44.6119942Z             
2025-03-21T20:22:44.6121101Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6122878Z             aten_cat_default_61: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_50, aten_slice_copy_tensor_49])
2025-03-21T20:22:44.6124404Z             aten_view_copy_default_143: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_61, [39, 512]);  aten_cat_default_61 = None
2025-03-21T20:22:44.6126676Z             aten_permute_copy_default_102: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6130083Z             aten_addmm_default_50: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_query_bias, aten_view_copy_default_143, aten_permute_copy_default_102);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_query_bias = aten_view_copy_default_143 = aten_permute_copy_default_102 = None
2025-03-21T20:22:44.6132953Z             aten_view_copy_default_144: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_50, [39, 1, 512]);  aten_addmm_default_50 = None
2025-03-21T20:22:44.6133990Z             
2025-03-21T20:22:44.6135284Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6137472Z             aten_cat_default_62: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_50, aten_slice_copy_tensor_49]);  aten_slice_copy_tensor_50 = aten_slice_copy_tensor_49 = None
2025-03-21T20:22:44.6139273Z             aten_view_copy_default_145: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_62, [39, 512]);  aten_cat_default_62 = None
2025-03-21T20:22:44.6141581Z             aten_permute_copy_default_103: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6145179Z             aten_addmm_default_51: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_key_value_bias, aten_view_copy_default_145, aten_permute_copy_default_103);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_emb_to_key_value_bias = aten_view_copy_default_145 = aten_permute_copy_default_103 = None
2025-03-21T20:22:44.6147975Z             aten_view_copy_default_146: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_51, [39, 1, 1024]);  aten_addmm_default_51 = None
2025-03-21T20:22:44.6149878Z             aten_split_with_sizes_copy_default_10 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_146, [512, 512], 2);  aten_view_copy_default_146 = None
2025-03-21T20:22:44.6151207Z             getitem_51: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_10[0]
2025-03-21T20:22:44.6152128Z             getitem_52: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_10[1];  aten_split_with_sizes_copy_default_10 = None
2025-03-21T20:22:44.6152973Z             
2025-03-21T20:22:44.6154250Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6156280Z             aten_view_copy_default_147: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_144, [-1, 8, 64]);  aten_view_copy_default_144 = None
2025-03-21T20:22:44.6158053Z             aten_permute_copy_default_104: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_147, [1, 0, 2]);  aten_view_copy_default_147 = None
2025-03-21T20:22:44.6159800Z             aten_clone_default_70: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_51, memory_format = torch.contiguous_format);  getitem_51 = None
2025-03-21T20:22:44.6161460Z             aten_view_copy_default_148: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_70, [-1, 8, 64]);  aten_clone_default_70 = None
2025-03-21T20:22:44.6163179Z             aten_permute_copy_default_105: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_148, [1, 0, 2]);  aten_view_copy_default_148 = None
2025-03-21T20:22:44.6164907Z             aten_clone_default_71: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_52, memory_format = torch.contiguous_format);  getitem_52 = None
2025-03-21T20:22:44.6166572Z             aten_view_copy_default_149: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_71, [-1, 8, 64]);  aten_clone_default_71 = None
2025-03-21T20:22:44.6168290Z             aten_permute_copy_default_106: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_149, [1, 0, 2]);  aten_view_copy_default_149 = None
2025-03-21T20:22:44.6169398Z             
2025-03-21T20:22:44.6170760Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6172990Z             aten_mul_tensor_10: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_104, _lifted_tensor_constant12);  aten_permute_copy_default_104 = _lifted_tensor_constant12 = None
2025-03-21T20:22:44.6174991Z             aten_permute_copy_default_107: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_105, [0, 2, 1]);  aten_permute_copy_default_105 = None
2025-03-21T20:22:44.6176997Z             aten_bmm_default_20: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_10, aten_permute_copy_default_107);  aten_mul_tensor_10 = aten_permute_copy_default_107 = None
2025-03-21T20:22:44.6178173Z             
2025-03-21T20:22:44.6179599Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6181590Z             aten_unsqueeze_copy_default_10: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6183050Z             scalar_tensor_10: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6185106Z             aten_where_self_10: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_10, scalar_tensor_10, aten_bmm_default_20);  aten_unsqueeze_copy_default_10 = scalar_tensor_10 = aten_bmm_default_20 = None
2025-03-21T20:22:44.6186535Z             
2025-03-21T20:22:44.6187942Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6190020Z             aten__softmax_default_10: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_10, -1, False);  aten_where_self_10 = None
2025-03-21T20:22:44.6191005Z             
2025-03-21T20:22:44.6192381Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6194407Z             aten_clone_default_72: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_10);  aten__softmax_default_10 = None
2025-03-21T20:22:44.6195392Z             
2025-03-21T20:22:44.6196474Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6198460Z             aten_bmm_default_21: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_72, aten_permute_copy_default_106);  aten_clone_default_72 = aten_permute_copy_default_106 = None
2025-03-21T20:22:44.6199668Z             
2025-03-21T20:22:44.6200874Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6202803Z             aten_permute_copy_default_108: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_21, [1, 0, 2]);  aten_bmm_default_21 = None
2025-03-21T20:22:44.6205056Z             aten_clone_default_73: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_108, memory_format = torch.contiguous_format);  aten_permute_copy_default_108 = None
2025-03-21T20:22:44.6206950Z             aten_view_copy_default_150: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_73, [39, 1, 512]);  aten_clone_default_73 = None
2025-03-21T20:22:44.6207994Z             
2025-03-21T20:22:44.6209073Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6211229Z             aten_view_copy_default_151: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_150, [39, 512]);  aten_view_copy_default_150 = None
2025-03-21T20:22:44.6213531Z             aten_permute_copy_default_109: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_out_proj_weight = None
2025-03-21T20:22:44.6216858Z             aten_addmm_default_52: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_10_attention_out_proj_bias, aten_view_copy_default_151, aten_permute_copy_default_109);  p_rnnt_transcriber_transformer_emformer_layers_10_attention_out_proj_bias = aten_view_copy_default_151 = aten_permute_copy_default_109 = None
2025-03-21T20:22:44.6219773Z             aten_view_copy_default_152: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_52, [39, 1, 512]);  aten_addmm_default_52 = None
2025-03-21T20:22:44.6220836Z             
2025-03-21T20:22:44.6222067Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6224094Z             aten_clone_default_74: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_152);  aten_view_copy_default_152 = None
2025-03-21T20:22:44.6225901Z             aten_cat_default_63: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_48, aten_slice_copy_tensor_47]);  aten_slice_copy_tensor_48 = aten_slice_copy_tensor_47 = None
2025-03-21T20:22:44.6227801Z             aten_add_tensor_20: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_74, aten_cat_default_63);  aten_clone_default_74 = aten_cat_default_63 = None
2025-03-21T20:22:44.6228895Z             
2025-03-21T20:22:44.6229952Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6233001Z             aten_native_layer_norm_default_31 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_20, [512], p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_0_bias = None
2025-03-21T20:22:44.6235593Z             getitem_53: "f32[39, 1, 512]" = aten_native_layer_norm_default_31[0];  aten_native_layer_norm_default_31 = None
2025-03-21T20:22:44.6236831Z             aten_view_copy_default_153: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_53, [39, 512]);  getitem_53 = None
2025-03-21T20:22:44.6238860Z             aten_permute_copy_default_110: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_1_weight = None
2025-03-21T20:22:44.6241951Z             aten_addmm_default_53: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_1_bias, aten_view_copy_default_153, aten_permute_copy_default_110);  p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_1_bias = aten_view_copy_default_153 = aten_permute_copy_default_110 = None
2025-03-21T20:22:44.6244548Z             aten_view_copy_default_154: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_53, [39, 1, 2048]);  aten_addmm_default_53 = None
2025-03-21T20:22:44.6246293Z             aten_gelu_default_10: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_154);  aten_view_copy_default_154 = None
2025-03-21T20:22:44.6247816Z             aten_clone_default_75: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_10);  aten_gelu_default_10 = None
2025-03-21T20:22:44.6249378Z             aten_view_copy_default_155: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_75, [39, 2048]);  aten_clone_default_75 = None
2025-03-21T20:22:44.6251623Z             aten_permute_copy_default_111: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_4_weight = None
2025-03-21T20:22:44.6254798Z             aten_addmm_default_54: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_4_bias, aten_view_copy_default_155, aten_permute_copy_default_111);  p_rnnt_transcriber_transformer_emformer_layers_10_pos_ff_4_bias = aten_view_copy_default_155 = aten_permute_copy_default_111 = None
2025-03-21T20:22:44.6257394Z             aten_view_copy_default_156: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_54, [39, 1, 512]);  aten_addmm_default_54 = None
2025-03-21T20:22:44.6259083Z             aten_clone_default_76: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_156);  aten_view_copy_default_156 = None
2025-03-21T20:22:44.6260748Z             aten_add_tensor_21: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_76, aten_add_tensor_20);  aten_clone_default_76 = aten_add_tensor_20 = None
2025-03-21T20:22:44.6261834Z             
2025-03-21T20:22:44.6262924Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6266302Z             aten_native_layer_norm_default_32 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_21, [512], p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_output_bias, 1e-05);  aten_add_tensor_21 = p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_10_layer_norm_output_bias = None
2025-03-21T20:22:44.6269213Z             getitem_54: "f32[39, 1, 512]" = aten_native_layer_norm_default_32[0];  aten_native_layer_norm_default_32 = None
2025-03-21T20:22:44.6269933Z             
2025-03-21T20:22:44.6271205Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6273034Z             aten_slice_copy_tensor_51: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_54, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6274416Z             aten_slice_copy_tensor_52: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_54, 0, 0, 8);  getitem_54 = None
2025-03-21T20:22:44.6275314Z             
2025-03-21T20:22:44.6276615Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6278516Z             aten_cat_default_64: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_52, aten_slice_copy_tensor_51])
2025-03-21T20:22:44.6281634Z             aten_native_layer_norm_default_33 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_64, [512], p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_input_bias, 1e-05);  aten_cat_default_64 = p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_input_bias = None
2025-03-21T20:22:44.6284639Z             getitem_55: "f32[39, 1, 512]" = aten_native_layer_norm_default_33[0];  aten_native_layer_norm_default_33 = None
2025-03-21T20:22:44.6285364Z             
2025-03-21T20:22:44.6286473Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6288169Z             aten_slice_copy_tensor_53: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_55, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6289062Z             
2025-03-21T20:22:44.6290308Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6292128Z             aten_slice_copy_tensor_54: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_55, 0, 0, 8);  getitem_55 = None
2025-03-21T20:22:44.6293188Z             
2025-03-21T20:22:44.6294355Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6296116Z             aten_cat_default_65: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_54, aten_slice_copy_tensor_53])
2025-03-21T20:22:44.6297709Z             aten_view_copy_default_157: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_65, [39, 512]);  aten_cat_default_65 = None
2025-03-21T20:22:44.6300005Z             aten_permute_copy_default_112: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6303420Z             aten_addmm_default_55: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_query_bias, aten_view_copy_default_157, aten_permute_copy_default_112);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_query_bias = aten_view_copy_default_157 = aten_permute_copy_default_112 = None
2025-03-21T20:22:44.6306457Z             aten_view_copy_default_158: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_55, [39, 1, 512]);  aten_addmm_default_55 = None
2025-03-21T20:22:44.6307516Z             
2025-03-21T20:22:44.6308815Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6311013Z             aten_cat_default_66: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_54, aten_slice_copy_tensor_53]);  aten_slice_copy_tensor_54 = aten_slice_copy_tensor_53 = None
2025-03-21T20:22:44.6312819Z             aten_view_copy_default_159: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_66, [39, 512]);  aten_cat_default_66 = None
2025-03-21T20:22:44.6315134Z             aten_permute_copy_default_113: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6318841Z             aten_addmm_default_56: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_key_value_bias, aten_view_copy_default_159, aten_permute_copy_default_113);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_emb_to_key_value_bias = aten_view_copy_default_159 = aten_permute_copy_default_113 = None
2025-03-21T20:22:44.6321747Z             aten_view_copy_default_160: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_56, [39, 1, 1024]);  aten_addmm_default_56 = None
2025-03-21T20:22:44.6323563Z             aten_split_with_sizes_copy_default_11 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_160, [512, 512], 2);  aten_view_copy_default_160 = None
2025-03-21T20:22:44.6325063Z             getitem_56: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_11[0]
2025-03-21T20:22:44.6325995Z             getitem_57: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_11[1];  aten_split_with_sizes_copy_default_11 = None
2025-03-21T20:22:44.6326755Z             
2025-03-21T20:22:44.6328024Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6330160Z             aten_view_copy_default_161: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_158, [-1, 8, 64]);  aten_view_copy_default_158 = None
2025-03-21T20:22:44.6332048Z             aten_permute_copy_default_114: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_161, [1, 0, 2]);  aten_view_copy_default_161 = None
2025-03-21T20:22:44.6333853Z             aten_clone_default_77: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_56, memory_format = torch.contiguous_format);  getitem_56 = None
2025-03-21T20:22:44.6335521Z             aten_view_copy_default_162: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_77, [-1, 8, 64]);  aten_clone_default_77 = None
2025-03-21T20:22:44.6337243Z             aten_permute_copy_default_115: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_162, [1, 0, 2]);  aten_view_copy_default_162 = None
2025-03-21T20:22:44.6338975Z             aten_clone_default_78: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_57, memory_format = torch.contiguous_format);  getitem_57 = None
2025-03-21T20:22:44.6340635Z             aten_view_copy_default_163: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_78, [-1, 8, 64]);  aten_clone_default_78 = None
2025-03-21T20:22:44.6342355Z             aten_permute_copy_default_116: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_163, [1, 0, 2]);  aten_view_copy_default_163 = None
2025-03-21T20:22:44.6343451Z             
2025-03-21T20:22:44.6344724Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6346939Z             aten_mul_tensor_11: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_114, _lifted_tensor_constant13);  aten_permute_copy_default_114 = _lifted_tensor_constant13 = None
2025-03-21T20:22:44.6349009Z             aten_permute_copy_default_117: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_115, [0, 2, 1]);  aten_permute_copy_default_115 = None
2025-03-21T20:22:44.6351039Z             aten_bmm_default_22: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_11, aten_permute_copy_default_117);  aten_mul_tensor_11 = aten_permute_copy_default_117 = None
2025-03-21T20:22:44.6352213Z             
2025-03-21T20:22:44.6353645Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6355652Z             aten_unsqueeze_copy_default_11: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6357114Z             scalar_tensor_11: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6359224Z             aten_where_self_11: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_11, scalar_tensor_11, aten_bmm_default_22);  aten_unsqueeze_copy_default_11 = scalar_tensor_11 = aten_bmm_default_22 = None
2025-03-21T20:22:44.6360612Z             
2025-03-21T20:22:44.6362032Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6364187Z             aten__softmax_default_11: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_11, -1, False);  aten_where_self_11 = None
2025-03-21T20:22:44.6365180Z             
2025-03-21T20:22:44.6366552Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6368580Z             aten_clone_default_79: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_11);  aten__softmax_default_11 = None
2025-03-21T20:22:44.6369539Z             
2025-03-21T20:22:44.6370781Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6372772Z             aten_bmm_default_23: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_79, aten_permute_copy_default_116);  aten_clone_default_79 = aten_permute_copy_default_116 = None
2025-03-21T20:22:44.6373972Z             
2025-03-21T20:22:44.6375174Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6377099Z             aten_permute_copy_default_118: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_23, [1, 0, 2]);  aten_bmm_default_23 = None
2025-03-21T20:22:44.6378963Z             aten_clone_default_80: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_118, memory_format = torch.contiguous_format);  aten_permute_copy_default_118 = None
2025-03-21T20:22:44.6380827Z             aten_view_copy_default_164: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_80, [39, 1, 512]);  aten_clone_default_80 = None
2025-03-21T20:22:44.6381857Z             
2025-03-21T20:22:44.6382915Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6384744Z             aten_view_copy_default_165: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_164, [39, 512]);  aten_view_copy_default_164 = None
2025-03-21T20:22:44.6387176Z             aten_permute_copy_default_119: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_out_proj_weight = None
2025-03-21T20:22:44.6390492Z             aten_addmm_default_57: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_11_attention_out_proj_bias, aten_view_copy_default_165, aten_permute_copy_default_119);  p_rnnt_transcriber_transformer_emformer_layers_11_attention_out_proj_bias = aten_view_copy_default_165 = aten_permute_copy_default_119 = None
2025-03-21T20:22:44.6393209Z             aten_view_copy_default_166: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_57, [39, 1, 512]);  aten_addmm_default_57 = None
2025-03-21T20:22:44.6394244Z             
2025-03-21T20:22:44.6395590Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6397564Z             aten_clone_default_81: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_166);  aten_view_copy_default_166 = None
2025-03-21T20:22:44.6399362Z             aten_cat_default_67: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_52, aten_slice_copy_tensor_51]);  aten_slice_copy_tensor_52 = aten_slice_copy_tensor_51 = None
2025-03-21T20:22:44.6401369Z             aten_add_tensor_22: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_81, aten_cat_default_67);  aten_clone_default_81 = aten_cat_default_67 = None
2025-03-21T20:22:44.6402466Z             
2025-03-21T20:22:44.6403519Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6406832Z             aten_native_layer_norm_default_34 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_22, [512], p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_0_bias = None
2025-03-21T20:22:44.6409439Z             getitem_58: "f32[39, 1, 512]" = aten_native_layer_norm_default_34[0];  aten_native_layer_norm_default_34 = None
2025-03-21T20:22:44.6410738Z             aten_view_copy_default_167: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_58, [39, 512]);  getitem_58 = None
2025-03-21T20:22:44.6412777Z             aten_permute_copy_default_120: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_1_weight = None
2025-03-21T20:22:44.6415876Z             aten_addmm_default_58: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_1_bias, aten_view_copy_default_167, aten_permute_copy_default_120);  p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_1_bias = aten_view_copy_default_167 = aten_permute_copy_default_120 = None
2025-03-21T20:22:44.6418495Z             aten_view_copy_default_168: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_58, [39, 1, 2048]);  aten_addmm_default_58 = None
2025-03-21T20:22:44.6420134Z             aten_gelu_default_11: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_168);  aten_view_copy_default_168 = None
2025-03-21T20:22:44.6421877Z             aten_clone_default_82: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_11);  aten_gelu_default_11 = None
2025-03-21T20:22:44.6423430Z             aten_view_copy_default_169: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_82, [39, 2048]);  aten_clone_default_82 = None
2025-03-21T20:22:44.6425584Z             aten_permute_copy_default_121: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_4_weight = None
2025-03-21T20:22:44.6428853Z             aten_addmm_default_59: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_4_bias, aten_view_copy_default_169, aten_permute_copy_default_121);  p_rnnt_transcriber_transformer_emformer_layers_11_pos_ff_4_bias = aten_view_copy_default_169 = aten_permute_copy_default_121 = None
2025-03-21T20:22:44.6431457Z             aten_view_copy_default_170: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_59, [39, 1, 512]);  aten_addmm_default_59 = None
2025-03-21T20:22:44.6433248Z             aten_clone_default_83: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_170);  aten_view_copy_default_170 = None
2025-03-21T20:22:44.6434921Z             aten_add_tensor_23: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_83, aten_add_tensor_22);  aten_clone_default_83 = aten_add_tensor_22 = None
2025-03-21T20:22:44.6435999Z             
2025-03-21T20:22:44.6437065Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6440442Z             aten_native_layer_norm_default_35 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_23, [512], p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_output_bias, 1e-05);  aten_add_tensor_23 = p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_11_layer_norm_output_bias = None
2025-03-21T20:22:44.6443355Z             getitem_59: "f32[39, 1, 512]" = aten_native_layer_norm_default_35[0];  aten_native_layer_norm_default_35 = None
2025-03-21T20:22:44.6444080Z             
2025-03-21T20:22:44.6445342Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6447176Z             aten_slice_copy_tensor_55: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_59, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6448558Z             aten_slice_copy_tensor_56: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_59, 0, 0, 8);  getitem_59 = None
2025-03-21T20:22:44.6449456Z             
2025-03-21T20:22:44.6450846Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6452771Z             aten_cat_default_68: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_56, aten_slice_copy_tensor_55])
2025-03-21T20:22:44.6455908Z             aten_native_layer_norm_default_36 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_68, [512], p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_input_bias, 1e-05);  aten_cat_default_68 = p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_input_bias = None
2025-03-21T20:22:44.6458955Z             getitem_60: "f32[39, 1, 512]" = aten_native_layer_norm_default_36[0];  aten_native_layer_norm_default_36 = None
2025-03-21T20:22:44.6459681Z             
2025-03-21T20:22:44.6460798Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6462484Z             aten_slice_copy_tensor_57: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_60, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6463373Z             
2025-03-21T20:22:44.6464587Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6466306Z             aten_slice_copy_tensor_58: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_60, 0, 0, 8);  getitem_60 = None
2025-03-21T20:22:44.6467269Z             
2025-03-21T20:22:44.6468443Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6470217Z             aten_cat_default_69: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_58, aten_slice_copy_tensor_57])
2025-03-21T20:22:44.6471726Z             aten_view_copy_default_171: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_69, [39, 512]);  aten_cat_default_69 = None
2025-03-21T20:22:44.6474004Z             aten_permute_copy_default_122: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6477397Z             aten_addmm_default_60: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_query_bias, aten_view_copy_default_171, aten_permute_copy_default_122);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_query_bias = aten_view_copy_default_171 = aten_permute_copy_default_122 = None
2025-03-21T20:22:44.6480136Z             aten_view_copy_default_172: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_60, [39, 1, 512]);  aten_addmm_default_60 = None
2025-03-21T20:22:44.6480268Z             
2025-03-21T20:22:44.6481390Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6482330Z             aten_cat_default_70: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_58, aten_slice_copy_tensor_57]);  aten_slice_copy_tensor_58 = aten_slice_copy_tensor_57 = None
2025-03-21T20:22:44.6483062Z             aten_view_copy_default_173: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_70, [39, 512]);  aten_cat_default_70 = None
2025-03-21T20:22:44.6484502Z             aten_permute_copy_default_123: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6486514Z             aten_addmm_default_61: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_key_value_bias, aten_view_copy_default_173, aten_permute_copy_default_123);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_emb_to_key_value_bias = aten_view_copy_default_173 = aten_permute_copy_default_123 = None
2025-03-21T20:22:44.6487291Z             aten_view_copy_default_174: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_61, [39, 1, 1024]);  aten_addmm_default_61 = None
2025-03-21T20:22:44.6488180Z             aten_split_with_sizes_copy_default_12 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_174, [512, 512], 2);  aten_view_copy_default_174 = None
2025-03-21T20:22:44.6488458Z             getitem_61: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_12[0]
2025-03-21T20:22:44.6489035Z             getitem_62: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_12[1];  aten_split_with_sizes_copy_default_12 = None
2025-03-21T20:22:44.6489170Z             
2025-03-21T20:22:44.6490397Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6491354Z             aten_view_copy_default_175: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_172, [-1, 8, 64]);  aten_view_copy_default_172 = None
2025-03-21T20:22:44.6492195Z             aten_permute_copy_default_124: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_175, [1, 0, 2]);  aten_view_copy_default_175 = None
2025-03-21T20:22:44.6492967Z             aten_clone_default_84: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_61, memory_format = torch.contiguous_format);  getitem_61 = None
2025-03-21T20:22:44.6493733Z             aten_view_copy_default_176: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_84, [-1, 8, 64]);  aten_clone_default_84 = None
2025-03-21T20:22:44.6494563Z             aten_permute_copy_default_125: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_176, [1, 0, 2]);  aten_view_copy_default_176 = None
2025-03-21T20:22:44.6495335Z             aten_clone_default_85: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_62, memory_format = torch.contiguous_format);  getitem_62 = None
2025-03-21T20:22:44.6496083Z             aten_view_copy_default_177: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_85, [-1, 8, 64]);  aten_clone_default_85 = None
2025-03-21T20:22:44.6496919Z             aten_permute_copy_default_126: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_177, [1, 0, 2]);  aten_view_copy_default_177 = None
2025-03-21T20:22:44.6497055Z             
2025-03-21T20:22:44.6498157Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6499142Z             aten_mul_tensor_12: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_124, _lifted_tensor_constant14);  aten_permute_copy_default_124 = _lifted_tensor_constant14 = None
2025-03-21T20:22:44.6500009Z             aten_permute_copy_default_127: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_125, [0, 2, 1]);  aten_permute_copy_default_125 = None
2025-03-21T20:22:44.6500910Z             aten_bmm_default_24: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_12, aten_permute_copy_default_127);  aten_mul_tensor_12 = aten_permute_copy_default_127 = None
2025-03-21T20:22:44.6501192Z             
2025-03-21T20:22:44.6502440Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6503057Z             aten_unsqueeze_copy_default_12: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6503992Z             scalar_tensor_12: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6505359Z             aten_where_self_12: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_12, scalar_tensor_12, aten_bmm_default_24);  aten_unsqueeze_copy_default_12 = scalar_tensor_12 = aten_bmm_default_24 = None
2025-03-21T20:22:44.6505515Z             
2025-03-21T20:22:44.6506762Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6507606Z             aten__softmax_default_12: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_12, -1, False);  aten_where_self_12 = None
2025-03-21T20:22:44.6507738Z             
2025-03-21T20:22:44.6508946Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6509654Z             aten_clone_default_86: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_12);  aten__softmax_default_12 = None
2025-03-21T20:22:44.6509818Z             
2025-03-21T20:22:44.6510730Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6511684Z             aten_bmm_default_25: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_86, aten_permute_copy_default_126);  aten_clone_default_86 = aten_permute_copy_default_126 = None
2025-03-21T20:22:44.6511816Z             
2025-03-21T20:22:44.6512850Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6513612Z             aten_permute_copy_default_128: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_25, [1, 0, 2]);  aten_bmm_default_25 = None
2025-03-21T20:22:44.6514590Z             aten_clone_default_87: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_128, memory_format = torch.contiguous_format);  aten_permute_copy_default_128 = None
2025-03-21T20:22:44.6515358Z             aten_view_copy_default_178: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_87, [39, 1, 512]);  aten_clone_default_87 = None
2025-03-21T20:22:44.6515497Z             
2025-03-21T20:22:44.6516388Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6517179Z             aten_view_copy_default_179: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_178, [39, 512]);  aten_view_copy_default_178 = None
2025-03-21T20:22:44.6518792Z             aten_permute_copy_default_129: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_out_proj_weight = None
2025-03-21T20:22:44.6520646Z             aten_addmm_default_62: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_12_attention_out_proj_bias, aten_view_copy_default_179, aten_permute_copy_default_129);  p_rnnt_transcriber_transformer_emformer_layers_12_attention_out_proj_bias = aten_view_copy_default_179 = aten_permute_copy_default_129 = None
2025-03-21T20:22:44.6521411Z             aten_view_copy_default_180: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_62, [39, 1, 512]);  aten_addmm_default_62 = None
2025-03-21T20:22:44.6521551Z             
2025-03-21T20:22:44.6522787Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6523523Z             aten_clone_default_88: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_180);  aten_view_copy_default_180 = None
2025-03-21T20:22:44.6524529Z             aten_cat_default_71: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_56, aten_slice_copy_tensor_55]);  aten_slice_copy_tensor_56 = aten_slice_copy_tensor_55 = None
2025-03-21T20:22:44.6525349Z             aten_add_tensor_24: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_88, aten_cat_default_71);  aten_clone_default_88 = aten_cat_default_71 = None
2025-03-21T20:22:44.6525486Z             
2025-03-21T20:22:44.6526377Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6528410Z             aten_native_layer_norm_default_37 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_24, [512], p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_0_bias = None
2025-03-21T20:22:44.6528867Z             getitem_63: "f32[39, 1, 512]" = aten_native_layer_norm_default_37[0];  aten_native_layer_norm_default_37 = None
2025-03-21T20:22:44.6529508Z             aten_view_copy_default_181: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_63, [39, 512]);  getitem_63 = None
2025-03-21T20:22:44.6530832Z             aten_permute_copy_default_130: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_1_weight = None
2025-03-21T20:22:44.6532566Z             aten_addmm_default_63: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_1_bias, aten_view_copy_default_181, aten_permute_copy_default_130);  p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_1_bias = aten_view_copy_default_181 = aten_permute_copy_default_130 = None
2025-03-21T20:22:44.6533352Z             aten_view_copy_default_182: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_63, [39, 1, 2048]);  aten_addmm_default_63 = None
2025-03-21T20:22:44.6534074Z             aten_gelu_default_12: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_182);  aten_view_copy_default_182 = None
2025-03-21T20:22:44.6534813Z             aten_clone_default_89: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_12);  aten_gelu_default_12 = None
2025-03-21T20:22:44.6535573Z             aten_view_copy_default_183: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_89, [39, 2048]);  aten_clone_default_89 = None
2025-03-21T20:22:44.6536817Z             aten_permute_copy_default_131: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_4_weight = None
2025-03-21T20:22:44.6538509Z             aten_addmm_default_64: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_4_bias, aten_view_copy_default_183, aten_permute_copy_default_131);  p_rnnt_transcriber_transformer_emformer_layers_12_pos_ff_4_bias = aten_view_copy_default_183 = aten_permute_copy_default_131 = None
2025-03-21T20:22:44.6539375Z             aten_view_copy_default_184: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_64, [39, 1, 512]);  aten_addmm_default_64 = None
2025-03-21T20:22:44.6540108Z             aten_clone_default_90: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_184);  aten_view_copy_default_184 = None
2025-03-21T20:22:44.6541005Z             aten_add_tensor_25: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_90, aten_add_tensor_24);  aten_clone_default_90 = aten_add_tensor_24 = None
2025-03-21T20:22:44.6541136Z             
2025-03-21T20:22:44.6542034Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6544380Z             aten_native_layer_norm_default_38 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_25, [512], p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_output_bias, 1e-05);  aten_add_tensor_25 = p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_12_layer_norm_output_bias = None
2025-03-21T20:22:44.6544838Z             getitem_64: "f32[39, 1, 512]" = aten_native_layer_norm_default_38[0];  aten_native_layer_norm_default_38 = None
2025-03-21T20:22:44.6544972Z             
2025-03-21T20:22:44.6546055Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6546663Z             aten_slice_copy_tensor_59: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_64, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6547289Z             aten_slice_copy_tensor_60: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_64, 0, 0, 8);  getitem_64 = None
2025-03-21T20:22:44.6547423Z             
2025-03-21T20:22:44.6548538Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6549220Z             aten_cat_default_72: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_60, aten_slice_copy_tensor_59])
2025-03-21T20:22:44.6551542Z             aten_native_layer_norm_default_39 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_72, [512], p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_input_bias, 1e-05);  aten_cat_default_72 = p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_input_bias = None
2025-03-21T20:22:44.6552117Z             getitem_65: "f32[39, 1, 512]" = aten_native_layer_norm_default_39[0];  aten_native_layer_norm_default_39 = None
2025-03-21T20:22:44.6552251Z             
2025-03-21T20:22:44.6553212Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6553824Z             aten_slice_copy_tensor_61: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_65, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6553962Z             
2025-03-21T20:22:44.6554900Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6555639Z             aten_slice_copy_tensor_62: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_65, 0, 0, 8);  getitem_65 = None
2025-03-21T20:22:44.6555778Z             
2025-03-21T20:22:44.6556766Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6557486Z             aten_cat_default_73: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_62, aten_slice_copy_tensor_61])
2025-03-21T20:22:44.6558211Z             aten_view_copy_default_185: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_73, [39, 512]);  aten_cat_default_73 = None
2025-03-21T20:22:44.6559627Z             aten_permute_copy_default_132: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6561495Z             aten_addmm_default_65: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_query_bias, aten_view_copy_default_185, aten_permute_copy_default_132);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_query_bias = aten_view_copy_default_185 = aten_permute_copy_default_132 = None
2025-03-21T20:22:44.6562270Z             aten_view_copy_default_186: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_65, [39, 1, 512]);  aten_addmm_default_65 = None
2025-03-21T20:22:44.6562399Z             
2025-03-21T20:22:44.6563521Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6564468Z             aten_cat_default_74: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_62, aten_slice_copy_tensor_61]);  aten_slice_copy_tensor_62 = aten_slice_copy_tensor_61 = None
2025-03-21T20:22:44.6565217Z             aten_view_copy_default_187: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_74, [39, 512]);  aten_cat_default_74 = None
2025-03-21T20:22:44.6566656Z             aten_permute_copy_default_133: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6568625Z             aten_addmm_default_66: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_key_value_bias, aten_view_copy_default_187, aten_permute_copy_default_133);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_emb_to_key_value_bias = aten_view_copy_default_187 = aten_permute_copy_default_133 = None
2025-03-21T20:22:44.6569494Z             aten_view_copy_default_188: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_66, [39, 1, 1024]);  aten_addmm_default_66 = None
2025-03-21T20:22:44.6570381Z             aten_split_with_sizes_copy_default_13 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_188, [512, 512], 2);  aten_view_copy_default_188 = None
2025-03-21T20:22:44.6570731Z             getitem_66: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_13[0]
2025-03-21T20:22:44.6571227Z             getitem_67: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_13[1];  aten_split_with_sizes_copy_default_13 = None
2025-03-21T20:22:44.6571366Z             
2025-03-21T20:22:44.6572561Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6573755Z             aten_view_copy_default_189: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_186, [-1, 8, 64]);  aten_view_copy_default_186 = None
2025-03-21T20:22:44.6574583Z             aten_permute_copy_default_134: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_189, [1, 0, 2]);  aten_view_copy_default_189 = None
2025-03-21T20:22:44.6575351Z             aten_clone_default_91: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_66, memory_format = torch.contiguous_format);  getitem_66 = None
2025-03-21T20:22:44.6576114Z             aten_view_copy_default_190: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_91, [-1, 8, 64]);  aten_clone_default_91 = None
2025-03-21T20:22:44.6576937Z             aten_permute_copy_default_135: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_190, [1, 0, 2]);  aten_view_copy_default_190 = None
2025-03-21T20:22:44.6577705Z             aten_clone_default_92: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_67, memory_format = torch.contiguous_format);  getitem_67 = None
2025-03-21T20:22:44.6578445Z             aten_view_copy_default_191: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_92, [-1, 8, 64]);  aten_clone_default_92 = None
2025-03-21T20:22:44.6579273Z             aten_permute_copy_default_136: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_191, [1, 0, 2]);  aten_view_copy_default_191 = None
2025-03-21T20:22:44.6579402Z             
2025-03-21T20:22:44.6580509Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6581490Z             aten_mul_tensor_13: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_134, _lifted_tensor_constant15);  aten_permute_copy_default_134 = _lifted_tensor_constant15 = None
2025-03-21T20:22:44.6582351Z             aten_permute_copy_default_137: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_135, [0, 2, 1]);  aten_permute_copy_default_135 = None
2025-03-21T20:22:44.6583238Z             aten_bmm_default_26: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_13, aten_permute_copy_default_137);  aten_mul_tensor_13 = aten_permute_copy_default_137 = None
2025-03-21T20:22:44.6583458Z             
2025-03-21T20:22:44.6584717Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6585332Z             aten_unsqueeze_copy_default_13: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6586040Z             scalar_tensor_13: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6587140Z             aten_where_self_13: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_13, scalar_tensor_13, aten_bmm_default_26);  aten_unsqueeze_copy_default_13 = scalar_tensor_13 = aten_bmm_default_26 = None
2025-03-21T20:22:44.6587277Z             
2025-03-21T20:22:44.6588630Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6589364Z             aten__softmax_default_13: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_13, -1, False);  aten_where_self_13 = None
2025-03-21T20:22:44.6589576Z             
2025-03-21T20:22:44.6590777Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6591499Z             aten_clone_default_93: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_13);  aten__softmax_default_13 = None
2025-03-21T20:22:44.6591641Z             
2025-03-21T20:22:44.6592554Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6593497Z             aten_bmm_default_27: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_93, aten_permute_copy_default_136);  aten_clone_default_93 = aten_permute_copy_default_136 = None
2025-03-21T20:22:44.6593625Z             
2025-03-21T20:22:44.6594651Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6595410Z             aten_permute_copy_default_138: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_27, [1, 0, 2]);  aten_bmm_default_27 = None
2025-03-21T20:22:44.6596386Z             aten_clone_default_94: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_138, memory_format = torch.contiguous_format);  aten_permute_copy_default_138 = None
2025-03-21T20:22:44.6597145Z             aten_view_copy_default_192: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_94, [39, 1, 512]);  aten_clone_default_94 = None
2025-03-21T20:22:44.6597282Z             
2025-03-21T20:22:44.6598173Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6598960Z             aten_view_copy_default_193: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_192, [39, 512]);  aten_view_copy_default_192 = None
2025-03-21T20:22:44.6600339Z             aten_permute_copy_default_139: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_out_proj_weight = None
2025-03-21T20:22:44.6602265Z             aten_addmm_default_67: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_13_attention_out_proj_bias, aten_view_copy_default_193, aten_permute_copy_default_139);  p_rnnt_transcriber_transformer_emformer_layers_13_attention_out_proj_bias = aten_view_copy_default_193 = aten_permute_copy_default_139 = None
2025-03-21T20:22:44.6603031Z             aten_view_copy_default_194: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_67, [39, 1, 512]);  aten_addmm_default_67 = None
2025-03-21T20:22:44.6603168Z             
2025-03-21T20:22:44.6604634Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6605645Z             aten_clone_default_95: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_194);  aten_view_copy_default_194 = None
2025-03-21T20:22:44.6606630Z             aten_cat_default_75: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_60, aten_slice_copy_tensor_59]);  aten_slice_copy_tensor_60 = aten_slice_copy_tensor_59 = None
2025-03-21T20:22:44.6607649Z             aten_add_tensor_26: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_95, aten_cat_default_75);  aten_clone_default_95 = aten_cat_default_75 = None
2025-03-21T20:22:44.6607789Z             
2025-03-21T20:22:44.6608674Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6610796Z             aten_native_layer_norm_default_40 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_26, [512], p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_0_bias = None
2025-03-21T20:22:44.6611260Z             getitem_68: "f32[39, 1, 512]" = aten_native_layer_norm_default_40[0];  aten_native_layer_norm_default_40 = None
2025-03-21T20:22:44.6611908Z             aten_view_copy_default_195: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_68, [39, 512]);  getitem_68 = None
2025-03-21T20:22:44.6613156Z             aten_permute_copy_default_140: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_1_weight = None
2025-03-21T20:22:44.6614884Z             aten_addmm_default_68: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_1_bias, aten_view_copy_default_195, aten_permute_copy_default_140);  p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_1_bias = aten_view_copy_default_195 = aten_permute_copy_default_140 = None
2025-03-21T20:22:44.6615661Z             aten_view_copy_default_196: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_68, [39, 1, 2048]);  aten_addmm_default_68 = None
2025-03-21T20:22:44.6616379Z             aten_gelu_default_13: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_196);  aten_view_copy_default_196 = None
2025-03-21T20:22:44.6617043Z             aten_clone_default_96: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_13);  aten_gelu_default_13 = None
2025-03-21T20:22:44.6617932Z             aten_view_copy_default_197: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_96, [39, 2048]);  aten_clone_default_96 = None
2025-03-21T20:22:44.6619169Z             aten_permute_copy_default_141: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_4_weight = None
2025-03-21T20:22:44.6620868Z             aten_addmm_default_69: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_4_bias, aten_view_copy_default_197, aten_permute_copy_default_141);  p_rnnt_transcriber_transformer_emformer_layers_13_pos_ff_4_bias = aten_view_copy_default_197 = aten_permute_copy_default_141 = None
2025-03-21T20:22:44.6621769Z             aten_view_copy_default_198: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_69, [39, 1, 512]);  aten_addmm_default_69 = None
2025-03-21T20:22:44.6622496Z             aten_clone_default_97: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_198);  aten_view_copy_default_198 = None
2025-03-21T20:22:44.6623364Z             aten_add_tensor_27: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_97, aten_add_tensor_26);  aten_clone_default_97 = aten_add_tensor_26 = None
2025-03-21T20:22:44.6623497Z             
2025-03-21T20:22:44.6624396Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6626738Z             aten_native_layer_norm_default_41 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_27, [512], p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_output_bias, 1e-05);  aten_add_tensor_27 = p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_13_layer_norm_output_bias = None
2025-03-21T20:22:44.6627190Z             getitem_69: "f32[39, 1, 512]" = aten_native_layer_norm_default_41[0];  aten_native_layer_norm_default_41 = None
2025-03-21T20:22:44.6627332Z             
2025-03-21T20:22:44.6628412Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6629026Z             aten_slice_copy_tensor_63: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_69, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6629650Z             aten_slice_copy_tensor_64: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_69, 0, 0, 8);  getitem_69 = None
2025-03-21T20:22:44.6629786Z             
2025-03-21T20:22:44.6630906Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6631559Z             aten_cat_default_76: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_64, aten_slice_copy_tensor_63])
2025-03-21T20:22:44.6633867Z             aten_native_layer_norm_default_42 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_76, [512], p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_input_bias, 1e-05);  aten_cat_default_76 = p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_input_bias = None
2025-03-21T20:22:44.6634401Z             getitem_70: "f32[39, 1, 512]" = aten_native_layer_norm_default_42[0];  aten_native_layer_norm_default_42 = None
2025-03-21T20:22:44.6634529Z             
2025-03-21T20:22:44.6635478Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6636092Z             aten_slice_copy_tensor_65: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_70, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6636228Z             
2025-03-21T20:22:44.6637175Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6637902Z             aten_slice_copy_tensor_66: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_70, 0, 0, 8);  getitem_70 = None
2025-03-21T20:22:44.6638042Z             
2025-03-21T20:22:44.6639179Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6639916Z             aten_cat_default_77: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_66, aten_slice_copy_tensor_65])
2025-03-21T20:22:44.6640634Z             aten_view_copy_default_199: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_77, [39, 512]);  aten_cat_default_77 = None
2025-03-21T20:22:44.6642039Z             aten_permute_copy_default_142: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6643914Z             aten_addmm_default_70: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_query_bias, aten_view_copy_default_199, aten_permute_copy_default_142);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_query_bias = aten_view_copy_default_199 = aten_permute_copy_default_142 = None
2025-03-21T20:22:44.6644690Z             aten_view_copy_default_200: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_70, [39, 1, 512]);  aten_addmm_default_70 = None
2025-03-21T20:22:44.6644821Z             
2025-03-21T20:22:44.6645942Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6646886Z             aten_cat_default_78: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_66, aten_slice_copy_tensor_65]);  aten_slice_copy_tensor_66 = aten_slice_copy_tensor_65 = None
2025-03-21T20:22:44.6647620Z             aten_view_copy_default_201: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_78, [39, 512]);  aten_cat_default_78 = None
2025-03-21T20:22:44.6649074Z             aten_permute_copy_default_143: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6651068Z             aten_addmm_default_71: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_key_value_bias, aten_view_copy_default_201, aten_permute_copy_default_143);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_emb_to_key_value_bias = aten_view_copy_default_201 = aten_permute_copy_default_143 = None
2025-03-21T20:22:44.6651977Z             aten_view_copy_default_202: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_71, [39, 1, 1024]);  aten_addmm_default_71 = None
2025-03-21T20:22:44.6652874Z             aten_split_with_sizes_copy_default_14 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_202, [512, 512], 2);  aten_view_copy_default_202 = None
2025-03-21T20:22:44.6653155Z             getitem_71: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_14[0]
2025-03-21T20:22:44.6653650Z             getitem_72: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_14[1];  aten_split_with_sizes_copy_default_14 = None
2025-03-21T20:22:44.6653779Z             
2025-03-21T20:22:44.6654976Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6655792Z             aten_view_copy_default_203: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_200, [-1, 8, 64]);  aten_view_copy_default_200 = None
2025-03-21T20:22:44.6656696Z             aten_permute_copy_default_144: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_203, [1, 0, 2]);  aten_view_copy_default_203 = None
2025-03-21T20:22:44.6657461Z             aten_clone_default_98: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_71, memory_format = torch.contiguous_format);  getitem_71 = None
2025-03-21T20:22:44.6658216Z             aten_view_copy_default_204: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_98, [-1, 8, 64]);  aten_clone_default_98 = None
2025-03-21T20:22:44.6659044Z             aten_permute_copy_default_145: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_204, [1, 0, 2]);  aten_view_copy_default_204 = None
2025-03-21T20:22:44.6659815Z             aten_clone_default_99: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_72, memory_format = torch.contiguous_format);  getitem_72 = None
2025-03-21T20:22:44.6660571Z             aten_view_copy_default_205: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_99, [-1, 8, 64]);  aten_clone_default_99 = None
2025-03-21T20:22:44.6661401Z             aten_permute_copy_default_146: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_205, [1, 0, 2]);  aten_view_copy_default_205 = None
2025-03-21T20:22:44.6661533Z             
2025-03-21T20:22:44.6662634Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6663612Z             aten_mul_tensor_14: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_144, _lifted_tensor_constant16);  aten_permute_copy_default_144 = _lifted_tensor_constant16 = None
2025-03-21T20:22:44.6664481Z             aten_permute_copy_default_147: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_145, [0, 2, 1]);  aten_permute_copy_default_145 = None
2025-03-21T20:22:44.6665372Z             aten_bmm_default_28: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_14, aten_permute_copy_default_147);  aten_mul_tensor_14 = aten_permute_copy_default_147 = None
2025-03-21T20:22:44.6665505Z             
2025-03-21T20:22:44.6666760Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6667466Z             aten_unsqueeze_copy_default_14: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6668184Z             scalar_tensor_14: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6669287Z             aten_where_self_14: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_14, scalar_tensor_14, aten_bmm_default_28);  aten_unsqueeze_copy_default_14 = scalar_tensor_14 = aten_bmm_default_28 = None
2025-03-21T20:22:44.6669416Z             
2025-03-21T20:22:44.6670765Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6671503Z             aten__softmax_default_14: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_14, -1, False);  aten_where_self_14 = None
2025-03-21T20:22:44.6671710Z             
2025-03-21T20:22:44.6672912Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6673607Z             aten_clone_default_100: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_14);  aten__softmax_default_14 = None
2025-03-21T20:22:44.6673742Z             
2025-03-21T20:22:44.6674654Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6675615Z             aten_bmm_default_29: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_100, aten_permute_copy_default_146);  aten_clone_default_100 = aten_permute_copy_default_146 = None
2025-03-21T20:22:44.6675746Z             
2025-03-21T20:22:44.6676779Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6677546Z             aten_permute_copy_default_148: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_29, [1, 0, 2]);  aten_bmm_default_29 = None
2025-03-21T20:22:44.6678526Z             aten_clone_default_101: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_148, memory_format = torch.contiguous_format);  aten_permute_copy_default_148 = None
2025-03-21T20:22:44.6679294Z             aten_view_copy_default_206: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_101, [39, 1, 512]);  aten_clone_default_101 = None
2025-03-21T20:22:44.6679429Z             
2025-03-21T20:22:44.6680320Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6681106Z             aten_view_copy_default_207: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_206, [39, 512]);  aten_view_copy_default_206 = None
2025-03-21T20:22:44.6682477Z             aten_permute_copy_default_149: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_out_proj_weight = None
2025-03-21T20:22:44.6684421Z             aten_addmm_default_72: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_14_attention_out_proj_bias, aten_view_copy_default_207, aten_permute_copy_default_149);  p_rnnt_transcriber_transformer_emformer_layers_14_attention_out_proj_bias = aten_view_copy_default_207 = aten_permute_copy_default_149 = None
2025-03-21T20:22:44.6685188Z             aten_view_copy_default_208: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_72, [39, 1, 512]);  aten_addmm_default_72 = None
2025-03-21T20:22:44.6685322Z             
2025-03-21T20:22:44.6686380Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6687184Z             aten_clone_default_102: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_208);  aten_view_copy_default_208 = None
2025-03-21T20:22:44.6688144Z             aten_cat_default_79: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_64, aten_slice_copy_tensor_63]);  aten_slice_copy_tensor_64 = aten_slice_copy_tensor_63 = None
2025-03-21T20:22:44.6689048Z             aten_add_tensor_28: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_102, aten_cat_default_79);  aten_clone_default_102 = aten_cat_default_79 = None
2025-03-21T20:22:44.6689186Z             
2025-03-21T20:22:44.6690063Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6692192Z             aten_native_layer_norm_default_43 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_28, [512], p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_0_bias = None
2025-03-21T20:22:44.6692655Z             getitem_73: "f32[39, 1, 512]" = aten_native_layer_norm_default_43[0];  aten_native_layer_norm_default_43 = None
2025-03-21T20:22:44.6693299Z             aten_view_copy_default_209: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_73, [39, 512]);  getitem_73 = None
2025-03-21T20:22:44.6694545Z             aten_permute_copy_default_150: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_1_weight = None
2025-03-21T20:22:44.6696268Z             aten_addmm_default_73: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_1_bias, aten_view_copy_default_209, aten_permute_copy_default_150);  p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_1_bias = aten_view_copy_default_209 = aten_permute_copy_default_150 = None
2025-03-21T20:22:44.6697047Z             aten_view_copy_default_210: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_73, [39, 1, 2048]);  aten_addmm_default_73 = None
2025-03-21T20:22:44.6697755Z             aten_gelu_default_14: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_210);  aten_view_copy_default_210 = None
2025-03-21T20:22:44.6698418Z             aten_clone_default_103: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_14);  aten_gelu_default_14 = None
2025-03-21T20:22:44.6699191Z             aten_view_copy_default_211: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_103, [39, 2048]);  aten_clone_default_103 = None
2025-03-21T20:22:44.6700526Z             aten_permute_copy_default_151: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_4_weight = None
2025-03-21T20:22:44.6702234Z             aten_addmm_default_74: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_4_bias, aten_view_copy_default_211, aten_permute_copy_default_151);  p_rnnt_transcriber_transformer_emformer_layers_14_pos_ff_4_bias = aten_view_copy_default_211 = aten_permute_copy_default_151 = None
2025-03-21T20:22:44.6703000Z             aten_view_copy_default_212: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_74, [39, 1, 512]);  aten_addmm_default_74 = None
2025-03-21T20:22:44.6704249Z             aten_clone_default_104: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_212);  aten_view_copy_default_212 = None
2025-03-21T20:22:44.6705111Z             aten_add_tensor_29: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_104, aten_add_tensor_28);  aten_clone_default_104 = aten_add_tensor_28 = None
2025-03-21T20:22:44.6705357Z             
2025-03-21T20:22:44.6706265Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6708616Z             aten_native_layer_norm_default_44 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_29, [512], p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_output_bias, 1e-05);  aten_add_tensor_29 = p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_14_layer_norm_output_bias = None
2025-03-21T20:22:44.6709067Z             getitem_74: "f32[39, 1, 512]" = aten_native_layer_norm_default_44[0];  aten_native_layer_norm_default_44 = None
2025-03-21T20:22:44.6709210Z             
2025-03-21T20:22:44.6710289Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6710904Z             aten_slice_copy_tensor_67: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_74, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6711534Z             aten_slice_copy_tensor_68: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_74, 0, 0, 8);  getitem_74 = None
2025-03-21T20:22:44.6711688Z             
2025-03-21T20:22:44.6712822Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6713483Z             aten_cat_default_80: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_68, aten_slice_copy_tensor_67])
2025-03-21T20:22:44.6715807Z             aten_native_layer_norm_default_45 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_80, [512], p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_input_bias, 1e-05);  aten_cat_default_80 = p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_input_bias = None
2025-03-21T20:22:44.6716386Z             getitem_75: "f32[39, 1, 512]" = aten_native_layer_norm_default_45[0];  aten_native_layer_norm_default_45 = None
2025-03-21T20:22:44.6716515Z             
2025-03-21T20:22:44.6717470Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6718083Z             aten_slice_copy_tensor_69: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_75, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6718221Z             
2025-03-21T20:22:44.6719156Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6719830Z             aten_slice_copy_tensor_70: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_75, 0, 0, 8);  getitem_75 = None
2025-03-21T20:22:44.6719963Z             
2025-03-21T20:22:44.6721067Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6721734Z             aten_cat_default_81: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_70, aten_slice_copy_tensor_69])
2025-03-21T20:22:44.6722516Z             aten_view_copy_default_213: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_81, [39, 512]);  aten_cat_default_81 = None
2025-03-21T20:22:44.6723917Z             aten_permute_copy_default_152: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6725780Z             aten_addmm_default_75: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_query_bias, aten_view_copy_default_213, aten_permute_copy_default_152);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_query_bias = aten_view_copy_default_213 = aten_permute_copy_default_152 = None
2025-03-21T20:22:44.6726552Z             aten_view_copy_default_214: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_75, [39, 1, 512]);  aten_addmm_default_75 = None
2025-03-21T20:22:44.6726681Z             
2025-03-21T20:22:44.6727802Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6728752Z             aten_cat_default_82: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_70, aten_slice_copy_tensor_69]);  aten_slice_copy_tensor_70 = aten_slice_copy_tensor_69 = None
2025-03-21T20:22:44.6729488Z             aten_view_copy_default_215: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_82, [39, 512]);  aten_cat_default_82 = None
2025-03-21T20:22:44.6731041Z             aten_permute_copy_default_153: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6732961Z             aten_addmm_default_76: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_key_value_bias, aten_view_copy_default_215, aten_permute_copy_default_153);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_emb_to_key_value_bias = aten_view_copy_default_215 = aten_permute_copy_default_153 = None
2025-03-21T20:22:44.6733833Z             aten_view_copy_default_216: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_76, [39, 1, 1024]);  aten_addmm_default_76 = None
2025-03-21T20:22:44.6734733Z             aten_split_with_sizes_copy_default_15 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_216, [512, 512], 2);  aten_view_copy_default_216 = None
2025-03-21T20:22:44.6735016Z             getitem_76: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_15[0]
2025-03-21T20:22:44.6735507Z             getitem_77: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_15[1];  aten_split_with_sizes_copy_default_15 = None
2025-03-21T20:22:44.6735637Z             
2025-03-21T20:22:44.6736826Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6737644Z             aten_view_copy_default_217: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_214, [-1, 8, 64]);  aten_view_copy_default_214 = None
2025-03-21T20:22:44.6738484Z             aten_permute_copy_default_154: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_217, [1, 0, 2]);  aten_view_copy_default_217 = None
2025-03-21T20:22:44.6739370Z             aten_clone_default_105: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_76, memory_format = torch.contiguous_format);  getitem_76 = None
2025-03-21T20:22:44.6740127Z             aten_view_copy_default_218: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_105, [-1, 8, 64]);  aten_clone_default_105 = None
2025-03-21T20:22:44.6740958Z             aten_permute_copy_default_155: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_218, [1, 0, 2]);  aten_view_copy_default_218 = None
2025-03-21T20:22:44.6741729Z             aten_clone_default_106: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_77, memory_format = torch.contiguous_format);  getitem_77 = None
2025-03-21T20:22:44.6742482Z             aten_view_copy_default_219: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_106, [-1, 8, 64]);  aten_clone_default_106 = None
2025-03-21T20:22:44.6743308Z             aten_permute_copy_default_156: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_219, [1, 0, 2]);  aten_view_copy_default_219 = None
2025-03-21T20:22:44.6743437Z             
2025-03-21T20:22:44.6744543Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6745516Z             aten_mul_tensor_15: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_154, _lifted_tensor_constant17);  aten_permute_copy_default_154 = _lifted_tensor_constant17 = None
2025-03-21T20:22:44.6746377Z             aten_permute_copy_default_157: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_155, [0, 2, 1]);  aten_permute_copy_default_155 = None
2025-03-21T20:22:44.6747269Z             aten_bmm_default_30: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_15, aten_permute_copy_default_157);  aten_mul_tensor_15 = aten_permute_copy_default_157 = None
2025-03-21T20:22:44.6747408Z             
2025-03-21T20:22:44.6748658Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6749393Z             aten_unsqueeze_copy_default_15: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6750104Z             scalar_tensor_15: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6751204Z             aten_where_self_15: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_15, scalar_tensor_15, aten_bmm_default_30);  aten_unsqueeze_copy_default_15 = scalar_tensor_15 = aten_bmm_default_30 = None
2025-03-21T20:22:44.6751333Z             
2025-03-21T20:22:44.6752554Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6753402Z             aten__softmax_default_15: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_15, -1, False);  aten_where_self_15 = None
2025-03-21T20:22:44.6753542Z             
2025-03-21T20:22:44.6754806Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6755496Z             aten_clone_default_107: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_15);  aten__softmax_default_15 = None
2025-03-21T20:22:44.6755629Z             
2025-03-21T20:22:44.6756531Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6757488Z             aten_bmm_default_31: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_107, aten_permute_copy_default_156);  aten_clone_default_107 = aten_permute_copy_default_156 = None
2025-03-21T20:22:44.6757617Z             
2025-03-21T20:22:44.6758638Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6759396Z             aten_permute_copy_default_158: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_31, [1, 0, 2]);  aten_bmm_default_31 = None
2025-03-21T20:22:44.6760363Z             aten_clone_default_108: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_158, memory_format = torch.contiguous_format);  aten_permute_copy_default_158 = None
2025-03-21T20:22:44.6761135Z             aten_view_copy_default_220: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_108, [39, 1, 512]);  aten_clone_default_108 = None
2025-03-21T20:22:44.6761271Z             
2025-03-21T20:22:44.6762160Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6762946Z             aten_view_copy_default_221: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_220, [39, 512]);  aten_view_copy_default_220 = None
2025-03-21T20:22:44.6764310Z             aten_permute_copy_default_159: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_out_proj_weight = None
2025-03-21T20:22:44.6766232Z             aten_addmm_default_77: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_15_attention_out_proj_bias, aten_view_copy_default_221, aten_permute_copy_default_159);  p_rnnt_transcriber_transformer_emformer_layers_15_attention_out_proj_bias = aten_view_copy_default_221 = aten_permute_copy_default_159 = None
2025-03-21T20:22:44.6766995Z             aten_view_copy_default_222: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_77, [39, 1, 512]);  aten_addmm_default_77 = None
2025-03-21T20:22:44.6767129Z             
2025-03-21T20:22:44.6768186Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6768905Z             aten_clone_default_109: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_222);  aten_view_copy_default_222 = None
2025-03-21T20:22:44.6769936Z             aten_cat_default_83: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_68, aten_slice_copy_tensor_67]);  aten_slice_copy_tensor_68 = aten_slice_copy_tensor_67 = None
2025-03-21T20:22:44.6770922Z             aten_add_tensor_30: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_109, aten_cat_default_83);  aten_clone_default_109 = aten_cat_default_83 = None
2025-03-21T20:22:44.6771064Z             
2025-03-21T20:22:44.6771944Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6773981Z             aten_native_layer_norm_default_46 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_30, [512], p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_0_bias = None
2025-03-21T20:22:44.6774431Z             getitem_78: "f32[39, 1, 512]" = aten_native_layer_norm_default_46[0];  aten_native_layer_norm_default_46 = None
2025-03-21T20:22:44.6775075Z             aten_view_copy_default_223: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_78, [39, 512]);  getitem_78 = None
2025-03-21T20:22:44.6776322Z             aten_permute_copy_default_160: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_1_weight = None
2025-03-21T20:22:44.6778044Z             aten_addmm_default_78: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_1_bias, aten_view_copy_default_223, aten_permute_copy_default_160);  p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_1_bias = aten_view_copy_default_223 = aten_permute_copy_default_160 = None
2025-03-21T20:22:44.6778822Z             aten_view_copy_default_224: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_78, [39, 1, 2048]);  aten_addmm_default_78 = None
2025-03-21T20:22:44.6779545Z             aten_gelu_default_15: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_224);  aten_view_copy_default_224 = None
2025-03-21T20:22:44.6780211Z             aten_clone_default_110: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_15);  aten_gelu_default_15 = None
2025-03-21T20:22:44.6780976Z             aten_view_copy_default_225: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_110, [39, 2048]);  aten_clone_default_110 = None
2025-03-21T20:22:44.6782306Z             aten_permute_copy_default_161: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_4_weight = None
2025-03-21T20:22:44.6784011Z             aten_addmm_default_79: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_4_bias, aten_view_copy_default_225, aten_permute_copy_default_161);  p_rnnt_transcriber_transformer_emformer_layers_15_pos_ff_4_bias = aten_view_copy_default_225 = aten_permute_copy_default_161 = None
2025-03-21T20:22:44.6784770Z             aten_view_copy_default_226: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_79, [39, 1, 512]);  aten_addmm_default_79 = None
2025-03-21T20:22:44.6785630Z             aten_clone_default_111: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_226);  aten_view_copy_default_226 = None
2025-03-21T20:22:44.6786459Z             aten_add_tensor_31: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_111, aten_add_tensor_30);  aten_clone_default_111 = aten_add_tensor_30 = None
2025-03-21T20:22:44.6786727Z             
2025-03-21T20:22:44.6787628Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6789985Z             aten_native_layer_norm_default_47 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_31, [512], p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_output_bias, 1e-05);  aten_add_tensor_31 = p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_15_layer_norm_output_bias = None
2025-03-21T20:22:44.6790435Z             getitem_79: "f32[39, 1, 512]" = aten_native_layer_norm_default_47[0];  aten_native_layer_norm_default_47 = None
2025-03-21T20:22:44.6790571Z             
2025-03-21T20:22:44.6791653Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6792271Z             aten_slice_copy_tensor_71: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_79, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6792891Z             aten_slice_copy_tensor_72: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_79, 0, 0, 8);  getitem_79 = None
2025-03-21T20:22:44.6793029Z             
2025-03-21T20:22:44.6794154Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6794805Z             aten_cat_default_84: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_72, aten_slice_copy_tensor_71])
2025-03-21T20:22:44.6797146Z             aten_native_layer_norm_default_48 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_84, [512], p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_input_bias, 1e-05);  aten_cat_default_84 = p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_input_bias = None
2025-03-21T20:22:44.6797689Z             getitem_80: "f32[39, 1, 512]" = aten_native_layer_norm_default_48[0];  aten_native_layer_norm_default_48 = None
2025-03-21T20:22:44.6797890Z             
2025-03-21T20:22:44.6798845Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6799454Z             aten_slice_copy_tensor_73: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_80, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6799590Z             
2025-03-21T20:22:44.6800542Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6801169Z             aten_slice_copy_tensor_74: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_80, 0, 0, 8);  getitem_80 = None
2025-03-21T20:22:44.6801296Z             
2025-03-21T20:22:44.6802356Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6803024Z             aten_cat_default_85: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_74, aten_slice_copy_tensor_73])
2025-03-21T20:22:44.6804108Z             aten_view_copy_default_227: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_85, [39, 512]);  aten_cat_default_85 = None
2025-03-21T20:22:44.6805532Z             aten_permute_copy_default_162: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6818552Z             aten_addmm_default_80: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_query_bias, aten_view_copy_default_227, aten_permute_copy_default_162);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_query_bias = aten_view_copy_default_227 = aten_permute_copy_default_162 = None
2025-03-21T20:22:44.6819387Z             aten_view_copy_default_228: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_80, [39, 1, 512]);  aten_addmm_default_80 = None
2025-03-21T20:22:44.6819537Z             
2025-03-21T20:22:44.6820664Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6821606Z             aten_cat_default_86: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_74, aten_slice_copy_tensor_73]);  aten_slice_copy_tensor_74 = aten_slice_copy_tensor_73 = None
2025-03-21T20:22:44.6822339Z             aten_view_copy_default_229: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_86, [39, 512]);  aten_cat_default_86 = None
2025-03-21T20:22:44.6823786Z             aten_permute_copy_default_163: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6825687Z             aten_addmm_default_81: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_key_value_bias, aten_view_copy_default_229, aten_permute_copy_default_163);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_emb_to_key_value_bias = aten_view_copy_default_229 = aten_permute_copy_default_163 = None
2025-03-21T20:22:44.6826786Z             aten_view_copy_default_230: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_81, [39, 1, 1024]);  aten_addmm_default_81 = None
2025-03-21T20:22:44.6827675Z             aten_split_with_sizes_copy_default_16 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_230, [512, 512], 2);  aten_view_copy_default_230 = None
2025-03-21T20:22:44.6827967Z             getitem_81: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_16[0]
2025-03-21T20:22:44.6828450Z             getitem_82: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_16[1];  aten_split_with_sizes_copy_default_16 = None
2025-03-21T20:22:44.6828584Z             
2025-03-21T20:22:44.6829681Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6830649Z             aten_view_copy_default_231: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_228, [-1, 8, 64]);  aten_view_copy_default_228 = None
2025-03-21T20:22:44.6831487Z             aten_permute_copy_default_164: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_231, [1, 0, 2]);  aten_view_copy_default_231 = None
2025-03-21T20:22:44.6832385Z             aten_clone_default_112: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_81, memory_format = torch.contiguous_format);  getitem_81 = None
2025-03-21T20:22:44.6833140Z             aten_view_copy_default_232: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_112, [-1, 8, 64]);  aten_clone_default_112 = None
2025-03-21T20:22:44.6833971Z             aten_permute_copy_default_165: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_232, [1, 0, 2]);  aten_view_copy_default_232 = None
2025-03-21T20:22:44.6834746Z             aten_clone_default_113: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_82, memory_format = torch.contiguous_format);  getitem_82 = None
2025-03-21T20:22:44.6835506Z             aten_view_copy_default_233: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_113, [-1, 8, 64]);  aten_clone_default_113 = None
2025-03-21T20:22:44.6836326Z             aten_permute_copy_default_166: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_233, [1, 0, 2]);  aten_view_copy_default_233 = None
2025-03-21T20:22:44.6836466Z             
2025-03-21T20:22:44.6837557Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6838545Z             aten_mul_tensor_16: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_164, _lifted_tensor_constant18);  aten_permute_copy_default_164 = _lifted_tensor_constant18 = None
2025-03-21T20:22:44.6839400Z             aten_permute_copy_default_167: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_165, [0, 2, 1]);  aten_permute_copy_default_165 = None
2025-03-21T20:22:44.6840304Z             aten_bmm_default_32: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_16, aten_permute_copy_default_167);  aten_mul_tensor_16 = aten_permute_copy_default_167 = None
2025-03-21T20:22:44.6840433Z             
2025-03-21T20:22:44.6841695Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6842409Z             aten_unsqueeze_copy_default_16: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6843119Z             scalar_tensor_16: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6844230Z             aten_where_self_16: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_16, scalar_tensor_16, aten_bmm_default_32);  aten_unsqueeze_copy_default_16 = scalar_tensor_16 = aten_bmm_default_32 = None
2025-03-21T20:22:44.6844359Z             
2025-03-21T20:22:44.6845593Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6846390Z             aten__softmax_default_16: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_16, -1, False);  aten_where_self_16 = None
2025-03-21T20:22:44.6846542Z             
2025-03-21T20:22:44.6847765Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6848556Z             aten_clone_default_114: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_16);  aten__softmax_default_16 = None
2025-03-21T20:22:44.6848688Z             
2025-03-21T20:22:44.6849598Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6850659Z             aten_bmm_default_33: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_114, aten_permute_copy_default_166);  aten_clone_default_114 = aten_permute_copy_default_166 = None
2025-03-21T20:22:44.6850806Z             
2025-03-21T20:22:44.6851828Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6852599Z             aten_permute_copy_default_168: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_33, [1, 0, 2]);  aten_bmm_default_33 = None
2025-03-21T20:22:44.6853567Z             aten_clone_default_115: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_168, memory_format = torch.contiguous_format);  aten_permute_copy_default_168 = None
2025-03-21T20:22:44.6854335Z             aten_view_copy_default_234: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_115, [39, 1, 512]);  aten_clone_default_115 = None
2025-03-21T20:22:44.6854470Z             
2025-03-21T20:22:44.6855355Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6856150Z             aten_view_copy_default_235: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_234, [39, 512]);  aten_view_copy_default_234 = None
2025-03-21T20:22:44.6857507Z             aten_permute_copy_default_169: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_out_proj_weight = None
2025-03-21T20:22:44.6859336Z             aten_addmm_default_82: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_16_attention_out_proj_bias, aten_view_copy_default_235, aten_permute_copy_default_169);  p_rnnt_transcriber_transformer_emformer_layers_16_attention_out_proj_bias = aten_view_copy_default_235 = aten_permute_copy_default_169 = None
2025-03-21T20:22:44.6860177Z             aten_view_copy_default_236: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_82, [39, 1, 512]);  aten_addmm_default_82 = None
2025-03-21T20:22:44.6860313Z             
2025-03-21T20:22:44.6861375Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6862099Z             aten_clone_default_116: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_236);  aten_view_copy_default_236 = None
2025-03-21T20:22:44.6863185Z             aten_cat_default_87: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_72, aten_slice_copy_tensor_71]);  aten_slice_copy_tensor_72 = aten_slice_copy_tensor_71 = None
2025-03-21T20:22:44.6864025Z             aten_add_tensor_32: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_116, aten_cat_default_87);  aten_clone_default_116 = aten_cat_default_87 = None
2025-03-21T20:22:44.6864221Z             
2025-03-21T20:22:44.6865111Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6867139Z             aten_native_layer_norm_default_49 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_32, [512], p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_0_bias = None
2025-03-21T20:22:44.6867601Z             getitem_83: "f32[39, 1, 512]" = aten_native_layer_norm_default_49[0];  aten_native_layer_norm_default_49 = None
2025-03-21T20:22:44.6868238Z             aten_view_copy_default_237: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_83, [39, 512]);  getitem_83 = None
2025-03-21T20:22:44.6869496Z             aten_permute_copy_default_170: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_1_weight = None
2025-03-21T20:22:44.6871204Z             aten_addmm_default_83: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_1_bias, aten_view_copy_default_237, aten_permute_copy_default_170);  p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_1_bias = aten_view_copy_default_237 = aten_permute_copy_default_170 = None
2025-03-21T20:22:44.6871986Z             aten_view_copy_default_238: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_83, [39, 1, 2048]);  aten_addmm_default_83 = None
2025-03-21T20:22:44.6872690Z             aten_gelu_default_16: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_238);  aten_view_copy_default_238 = None
2025-03-21T20:22:44.6873359Z             aten_clone_default_117: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_16);  aten_gelu_default_16 = None
2025-03-21T20:22:44.6874121Z             aten_view_copy_default_239: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_117, [39, 2048]);  aten_clone_default_117 = None
2025-03-21T20:22:44.6875381Z             aten_permute_copy_default_171: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_weight = None
2025-03-21T20:22:44.6877148Z             aten_addmm_default_84: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_bias, aten_view_copy_default_239, aten_permute_copy_default_171);  p_rnnt_transcriber_transformer_emformer_layers_16_pos_ff_4_bias = aten_view_copy_default_239 = aten_permute_copy_default_171 = None
2025-03-21T20:22:44.6877929Z             aten_view_copy_default_240: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_84, [39, 1, 512]);  aten_addmm_default_84 = None
2025-03-21T20:22:44.6878645Z             aten_clone_default_118: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_240);  aten_view_copy_default_240 = None
2025-03-21T20:22:44.6879564Z             aten_add_tensor_33: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_118, aten_add_tensor_32);  aten_clone_default_118 = aten_add_tensor_32 = None
2025-03-21T20:22:44.6879700Z             
2025-03-21T20:22:44.6880610Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6883011Z             aten_native_layer_norm_default_50 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_33, [512], p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_bias, 1e-05);  aten_add_tensor_33 = p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_16_layer_norm_output_bias = None
2025-03-21T20:22:44.6883478Z             getitem_84: "f32[39, 1, 512]" = aten_native_layer_norm_default_50[0];  aten_native_layer_norm_default_50 = None
2025-03-21T20:22:44.6883605Z             
2025-03-21T20:22:44.6884697Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6885306Z             aten_slice_copy_tensor_75: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_84, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6885926Z             aten_slice_copy_tensor_76: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_84, 0, 0, 8);  getitem_84 = None
2025-03-21T20:22:44.6886060Z             
2025-03-21T20:22:44.6887178Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6887829Z             aten_cat_default_88: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_76, aten_slice_copy_tensor_75])
2025-03-21T20:22:44.6890141Z             aten_native_layer_norm_default_51 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_88, [512], p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_bias, 1e-05);  aten_cat_default_88 = p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_input_bias = None
2025-03-21T20:22:44.6890689Z             getitem_85: "f32[39, 1, 512]" = aten_native_layer_norm_default_51[0];  aten_native_layer_norm_default_51 = None
2025-03-21T20:22:44.6890824Z             
2025-03-21T20:22:44.6891875Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6892485Z             aten_slice_copy_tensor_77: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_85, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6892625Z             
2025-03-21T20:22:44.6893565Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6894192Z             aten_slice_copy_tensor_78: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_85, 0, 0, 8);  getitem_85 = None
2025-03-21T20:22:44.6894318Z             
2025-03-21T20:22:44.6895311Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6896063Z             aten_cat_default_89: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_78, aten_slice_copy_tensor_77])
2025-03-21T20:22:44.6896803Z             aten_view_copy_default_241: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_89, [39, 512]);  aten_cat_default_89 = None
2025-03-21T20:22:44.6898283Z             aten_permute_copy_default_172: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6900159Z             aten_addmm_default_85: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_bias, aten_view_copy_default_241, aten_permute_copy_default_172);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_query_bias = aten_view_copy_default_241 = aten_permute_copy_default_172 = None
2025-03-21T20:22:44.6900924Z             aten_view_copy_default_242: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_85, [39, 1, 512]);  aten_addmm_default_85 = None
2025-03-21T20:22:44.6901058Z             
2025-03-21T20:22:44.6902178Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6903121Z             aten_cat_default_90: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_78, aten_slice_copy_tensor_77]);  aten_slice_copy_tensor_78 = aten_slice_copy_tensor_77 = None
2025-03-21T20:22:44.6904251Z             aten_view_copy_default_243: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_90, [39, 512]);  aten_cat_default_90 = None
2025-03-21T20:22:44.6905717Z             aten_permute_copy_default_173: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6907617Z             aten_addmm_default_86: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_bias, aten_view_copy_default_243, aten_permute_copy_default_173);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_emb_to_key_value_bias = aten_view_copy_default_243 = aten_permute_copy_default_173 = None
2025-03-21T20:22:44.6908395Z             aten_view_copy_default_244: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_86, [39, 1, 1024]);  aten_addmm_default_86 = None
2025-03-21T20:22:44.6909564Z             aten_split_with_sizes_copy_default_17 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_244, [512, 512], 2);  aten_view_copy_default_244 = None
2025-03-21T20:22:44.6909862Z             getitem_86: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_17[0]
2025-03-21T20:22:44.6910347Z             getitem_87: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_17[1];  aten_split_with_sizes_copy_default_17 = None
2025-03-21T20:22:44.6910483Z             
2025-03-21T20:22:44.6911572Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6912513Z             aten_view_copy_default_245: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_242, [-1, 8, 64]);  aten_view_copy_default_242 = None
2025-03-21T20:22:44.6913365Z             aten_permute_copy_default_174: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_245, [1, 0, 2]);  aten_view_copy_default_245 = None
2025-03-21T20:22:44.6914244Z             aten_clone_default_119: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_86, memory_format = torch.contiguous_format);  getitem_86 = None
2025-03-21T20:22:44.6915007Z             aten_view_copy_default_246: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_119, [-1, 8, 64]);  aten_clone_default_119 = None
2025-03-21T20:22:44.6915832Z             aten_permute_copy_default_175: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_246, [1, 0, 2]);  aten_view_copy_default_246 = None
2025-03-21T20:22:44.6916610Z             aten_clone_default_120: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_87, memory_format = torch.contiguous_format);  getitem_87 = None
2025-03-21T20:22:44.6917368Z             aten_view_copy_default_247: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_120, [-1, 8, 64]);  aten_clone_default_120 = None
2025-03-21T20:22:44.6918202Z             aten_permute_copy_default_176: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_247, [1, 0, 2]);  aten_view_copy_default_247 = None
2025-03-21T20:22:44.6918327Z             
2025-03-21T20:22:44.6919437Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.6920428Z             aten_mul_tensor_17: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_174, _lifted_tensor_constant19);  aten_permute_copy_default_174 = _lifted_tensor_constant19 = None
2025-03-21T20:22:44.6921293Z             aten_permute_copy_default_177: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_175, [0, 2, 1]);  aten_permute_copy_default_175 = None
2025-03-21T20:22:44.6922183Z             aten_bmm_default_34: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_17, aten_permute_copy_default_177);  aten_mul_tensor_17 = aten_permute_copy_default_177 = None
2025-03-21T20:22:44.6922314Z             
2025-03-21T20:22:44.6923562Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.6924182Z             aten_unsqueeze_copy_default_17: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.6925025Z             scalar_tensor_17: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.6926168Z             aten_where_self_17: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_17, scalar_tensor_17, aten_bmm_default_34);  aten_unsqueeze_copy_default_17 = scalar_tensor_17 = aten_bmm_default_34 = None
2025-03-21T20:22:44.6926301Z             
2025-03-21T20:22:44.6927532Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.6928246Z             aten__softmax_default_17: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_17, -1, False);  aten_where_self_17 = None
2025-03-21T20:22:44.6928501Z             
2025-03-21T20:22:44.6929708Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.6930581Z             aten_clone_default_121: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_17);  aten__softmax_default_17 = None
2025-03-21T20:22:44.6930716Z             
2025-03-21T20:22:44.6931621Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.6932575Z             aten_bmm_default_35: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_121, aten_permute_copy_default_176);  aten_clone_default_121 = aten_permute_copy_default_176 = None
2025-03-21T20:22:44.6932712Z             
2025-03-21T20:22:44.6933787Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.6934556Z             aten_permute_copy_default_178: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_35, [1, 0, 2]);  aten_bmm_default_35 = None
2025-03-21T20:22:44.6935533Z             aten_clone_default_122: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_178, memory_format = torch.contiguous_format);  aten_permute_copy_default_178 = None
2025-03-21T20:22:44.6936306Z             aten_view_copy_default_248: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_122, [39, 1, 512]);  aten_clone_default_122 = None
2025-03-21T20:22:44.6936447Z             
2025-03-21T20:22:44.6937348Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.6938143Z             aten_view_copy_default_249: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_248, [39, 512]);  aten_view_copy_default_248 = None
2025-03-21T20:22:44.6939513Z             aten_permute_copy_default_179: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_weight = None
2025-03-21T20:22:44.6941362Z             aten_addmm_default_87: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_bias, aten_view_copy_default_249, aten_permute_copy_default_179);  p_rnnt_transcriber_transformer_emformer_layers_17_attention_out_proj_bias = aten_view_copy_default_249 = aten_permute_copy_default_179 = None
2025-03-21T20:22:44.6942245Z             aten_view_copy_default_250: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_87, [39, 1, 512]);  aten_addmm_default_87 = None
2025-03-21T20:22:44.6942383Z             
2025-03-21T20:22:44.6943445Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.6944170Z             aten_clone_default_123: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_250);  aten_view_copy_default_250 = None
2025-03-21T20:22:44.6945183Z             aten_cat_default_91: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_76, aten_slice_copy_tensor_75]);  aten_slice_copy_tensor_76 = aten_slice_copy_tensor_75 = None
2025-03-21T20:22:44.6946106Z             aten_add_tensor_34: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_123, aten_cat_default_91);  aten_clone_default_123 = aten_cat_default_91 = None
2025-03-21T20:22:44.6946292Z             
2025-03-21T20:22:44.6947223Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.6949256Z             aten_native_layer_norm_default_52 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_34, [512], p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_0_bias = None
2025-03-21T20:22:44.6949723Z             getitem_88: "f32[39, 1, 512]" = aten_native_layer_norm_default_52[0];  aten_native_layer_norm_default_52 = None
2025-03-21T20:22:44.6950361Z             aten_view_copy_default_251: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_88, [39, 512]);  getitem_88 = None
2025-03-21T20:22:44.6951617Z             aten_permute_copy_default_180: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_weight = None
2025-03-21T20:22:44.6953324Z             aten_addmm_default_88: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_bias, aten_view_copy_default_251, aten_permute_copy_default_180);  p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_bias = aten_view_copy_default_251 = aten_permute_copy_default_180 = None
2025-03-21T20:22:44.6954113Z             aten_view_copy_default_252: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_88, [39, 1, 2048]);  aten_addmm_default_88 = None
2025-03-21T20:22:44.6954818Z             aten_gelu_default_17: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_252);  aten_view_copy_default_252 = None
2025-03-21T20:22:44.6955490Z             aten_clone_default_124: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_17);  aten_gelu_default_17 = None
2025-03-21T20:22:44.6956255Z             aten_view_copy_default_253: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_124, [39, 2048]);  aten_clone_default_124 = None
2025-03-21T20:22:44.6957515Z             aten_permute_copy_default_181: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_weight = None
2025-03-21T20:22:44.6959294Z             aten_addmm_default_89: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_bias, aten_view_copy_default_253, aten_permute_copy_default_181);  p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_bias = aten_view_copy_default_253 = aten_permute_copy_default_181 = None
2025-03-21T20:22:44.6960066Z             aten_view_copy_default_254: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_89, [39, 1, 512]);  aten_addmm_default_89 = None
2025-03-21T20:22:44.6960789Z             aten_clone_default_125: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_254);  aten_view_copy_default_254 = None
2025-03-21T20:22:44.6961728Z             aten_add_tensor_35: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_125, aten_add_tensor_34);  aten_clone_default_125 = aten_add_tensor_34 = None
2025-03-21T20:22:44.6961867Z             
2025-03-21T20:22:44.6962776Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.6965226Z             aten_native_layer_norm_default_53 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_35, [512], p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_bias, 1e-05);  aten_add_tensor_35 = p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_bias = None
2025-03-21T20:22:44.6965676Z             getitem_89: "f32[39, 1, 512]" = aten_native_layer_norm_default_53[0];  aten_native_layer_norm_default_53 = None
2025-03-21T20:22:44.6965809Z             
2025-03-21T20:22:44.6966900Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.6967509Z             aten_slice_copy_tensor_79: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_89, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6968123Z             aten_slice_copy_tensor_80: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_89, 0, 0, 8);  getitem_89 = None
2025-03-21T20:22:44.6968254Z             
2025-03-21T20:22:44.6969371Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.6970029Z             aten_cat_default_92: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_80, aten_slice_copy_tensor_79])
2025-03-21T20:22:44.6972454Z             aten_native_layer_norm_default_54 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_92, [512], p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_bias, 1e-05);  aten_cat_default_92 = p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_bias = None
2025-03-21T20:22:44.6972921Z             getitem_90: "f32[39, 1, 512]" = aten_native_layer_norm_default_54[0];  aten_native_layer_norm_default_54 = None
2025-03-21T20:22:44.6973051Z             
2025-03-21T20:22:44.6974000Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.6974720Z             aten_slice_copy_tensor_81: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_90, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.6974856Z             
2025-03-21T20:22:44.6975795Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.6976425Z             aten_slice_copy_tensor_82: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_90, 0, 0, 8);  getitem_90 = None
2025-03-21T20:22:44.6976554Z             
2025-03-21T20:22:44.6977547Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.6978344Z             aten_cat_default_93: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_82, aten_slice_copy_tensor_81])
2025-03-21T20:22:44.6979089Z             aten_view_copy_default_255: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_93, [39, 512]);  aten_cat_default_93 = None
2025-03-21T20:22:44.6980556Z             aten_permute_copy_default_182: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_weight = None
2025-03-21T20:22:44.6982414Z             aten_addmm_default_90: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_bias, aten_view_copy_default_255, aten_permute_copy_default_182);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_bias = aten_view_copy_default_255 = aten_permute_copy_default_182 = None
2025-03-21T20:22:44.6983178Z             aten_view_copy_default_256: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_90, [39, 1, 512]);  aten_addmm_default_90 = None
2025-03-21T20:22:44.6983313Z             
2025-03-21T20:22:44.6984428Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.6985366Z             aten_cat_default_94: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_82, aten_slice_copy_tensor_81]);  aten_slice_copy_tensor_82 = aten_slice_copy_tensor_81 = None
2025-03-21T20:22:44.6986086Z             aten_view_copy_default_257: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_94, [39, 512]);  aten_cat_default_94 = None
2025-03-21T20:22:44.6987535Z             aten_permute_copy_default_183: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.6989425Z             aten_addmm_default_91: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_bias, aten_view_copy_default_257, aten_permute_copy_default_183);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_bias = aten_view_copy_default_257 = aten_permute_copy_default_183 = None
2025-03-21T20:22:44.6990197Z             aten_view_copy_default_258: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_91, [39, 1, 1024]);  aten_addmm_default_91 = None
2025-03-21T20:22:44.6991213Z             aten_split_with_sizes_copy_default_18 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_258, [512, 512], 2);  aten_view_copy_default_258 = None
2025-03-21T20:22:44.6991502Z             getitem_91: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_18[0]
2025-03-21T20:22:44.6991988Z             getitem_92: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_18[1];  aten_split_with_sizes_copy_default_18 = None
2025-03-21T20:22:44.6992120Z             
2025-03-21T20:22:44.6993212Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.6994003Z             aten_view_copy_default_259: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_256, [-1, 8, 64]);  aten_view_copy_default_256 = None
2025-03-21T20:22:44.6994921Z             aten_permute_copy_default_184: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_259, [1, 0, 2]);  aten_view_copy_default_259 = None
2025-03-21T20:22:44.6995704Z             aten_clone_default_126: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_91, memory_format = torch.contiguous_format);  getitem_91 = None
2025-03-21T20:22:44.6996525Z             aten_view_copy_default_260: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_126, [-1, 8, 64]);  aten_clone_default_126 = None
2025-03-21T20:22:44.6997342Z             aten_permute_copy_default_185: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_260, [1, 0, 2]);  aten_view_copy_default_260 = None
2025-03-21T20:22:44.6998110Z             aten_clone_default_127: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_92, memory_format = torch.contiguous_format);  getitem_92 = None
2025-03-21T20:22:44.6998867Z             aten_view_copy_default_261: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_127, [-1, 8, 64]);  aten_clone_default_127 = None
2025-03-21T20:22:44.6999693Z             aten_permute_copy_default_186: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_261, [1, 0, 2]);  aten_view_copy_default_261 = None
2025-03-21T20:22:44.6999824Z             
2025-03-21T20:22:44.7000919Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.7001889Z             aten_mul_tensor_18: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_184, _lifted_tensor_constant20);  aten_permute_copy_default_184 = _lifted_tensor_constant20 = None
2025-03-21T20:22:44.7002757Z             aten_permute_copy_default_187: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_185, [0, 2, 1]);  aten_permute_copy_default_185 = None
2025-03-21T20:22:44.7003644Z             aten_bmm_default_36: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_18, aten_permute_copy_default_187);  aten_mul_tensor_18 = aten_permute_copy_default_187 = None
2025-03-21T20:22:44.7004103Z             
2025-03-21T20:22:44.7005389Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.7006004Z             aten_unsqueeze_copy_default_18: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0)
2025-03-21T20:22:44.7006947Z             scalar_tensor_18: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.7008059Z             aten_where_self_18: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_18, scalar_tensor_18, aten_bmm_default_36);  aten_unsqueeze_copy_default_18 = scalar_tensor_18 = aten_bmm_default_36 = None
2025-03-21T20:22:44.7008190Z             
2025-03-21T20:22:44.7009433Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.7010149Z             aten__softmax_default_18: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_18, -1, False);  aten_where_self_18 = None
2025-03-21T20:22:44.7010287Z             
2025-03-21T20:22:44.7011728Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.7012444Z             aten_clone_default_128: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_18);  aten__softmax_default_18 = None
2025-03-21T20:22:44.7012671Z             
2025-03-21T20:22:44.7013580Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.7014528Z             aten_bmm_default_37: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_128, aten_permute_copy_default_186);  aten_clone_default_128 = aten_permute_copy_default_186 = None
2025-03-21T20:22:44.7014660Z             
2025-03-21T20:22:44.7015696Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.7016456Z             aten_permute_copy_default_188: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_37, [1, 0, 2]);  aten_bmm_default_37 = None
2025-03-21T20:22:44.7017428Z             aten_clone_default_129: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_188, memory_format = torch.contiguous_format);  aten_permute_copy_default_188 = None
2025-03-21T20:22:44.7018192Z             aten_view_copy_default_262: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_129, [39, 1, 512]);  aten_clone_default_129 = None
2025-03-21T20:22:44.7018325Z             
2025-03-21T20:22:44.7019225Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.7020026Z             aten_view_copy_default_263: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_262, [39, 512]);  aten_view_copy_default_262 = None
2025-03-21T20:22:44.7021390Z             aten_permute_copy_default_189: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_weight = None
2025-03-21T20:22:44.7023217Z             aten_addmm_default_92: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_bias, aten_view_copy_default_263, aten_permute_copy_default_189);  p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_bias = aten_view_copy_default_263 = aten_permute_copy_default_189 = None
2025-03-21T20:22:44.7024053Z             aten_view_copy_default_264: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_92, [39, 1, 512]);  aten_addmm_default_92 = None
2025-03-21T20:22:44.7024190Z             
2025-03-21T20:22:44.7025260Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.7025990Z             aten_clone_default_130: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_264);  aten_view_copy_default_264 = None
2025-03-21T20:22:44.7026928Z             aten_cat_default_95: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_80, aten_slice_copy_tensor_79]);  aten_slice_copy_tensor_80 = aten_slice_copy_tensor_79 = None
2025-03-21T20:22:44.7027852Z             aten_add_tensor_36: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_130, aten_cat_default_95);  aten_clone_default_130 = aten_cat_default_95 = None
2025-03-21T20:22:44.7027989Z             
2025-03-21T20:22:44.7028879Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.7030950Z             aten_native_layer_norm_default_55 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_36, [512], p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_bias = None
2025-03-21T20:22:44.7031402Z             getitem_93: "f32[39, 1, 512]" = aten_native_layer_norm_default_55[0];  aten_native_layer_norm_default_55 = None
2025-03-21T20:22:44.7032055Z             aten_view_copy_default_265: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_93, [39, 512]);  getitem_93 = None
2025-03-21T20:22:44.7033309Z             aten_permute_copy_default_190: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_weight = None
2025-03-21T20:22:44.7035012Z             aten_addmm_default_93: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_bias, aten_view_copy_default_265, aten_permute_copy_default_190);  p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_bias = aten_view_copy_default_265 = aten_permute_copy_default_190 = None
2025-03-21T20:22:44.7035786Z             aten_view_copy_default_266: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_93, [39, 1, 2048]);  aten_addmm_default_93 = None
2025-03-21T20:22:44.7036500Z             aten_gelu_default_18: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_266);  aten_view_copy_default_266 = None
2025-03-21T20:22:44.7037170Z             aten_clone_default_131: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_18);  aten_gelu_default_18 = None
2025-03-21T20:22:44.7037930Z             aten_view_copy_default_267: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_131, [39, 2048]);  aten_clone_default_131 = None
2025-03-21T20:22:44.7039178Z             aten_permute_copy_default_191: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_weight = None
2025-03-21T20:22:44.7041036Z             aten_addmm_default_94: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_bias, aten_view_copy_default_267, aten_permute_copy_default_191);  p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_bias = aten_view_copy_default_267 = aten_permute_copy_default_191 = None
2025-03-21T20:22:44.7041811Z             aten_view_copy_default_268: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_94, [39, 1, 512]);  aten_addmm_default_94 = None
2025-03-21T20:22:44.7042534Z             aten_clone_default_132: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_268);  aten_view_copy_default_268 = None
2025-03-21T20:22:44.7043371Z             aten_add_tensor_37: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_132, aten_add_tensor_36);  aten_clone_default_132 = aten_add_tensor_36 = None
2025-03-21T20:22:44.7043646Z             
2025-03-21T20:22:44.7044564Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.7046996Z             aten_native_layer_norm_default_56 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_37, [512], p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_bias, 1e-05);  aten_add_tensor_37 = p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_bias = None
2025-03-21T20:22:44.7047469Z             getitem_94: "f32[39, 1, 512]" = aten_native_layer_norm_default_56[0];  aten_native_layer_norm_default_56 = None
2025-03-21T20:22:44.7047602Z             
2025-03-21T20:22:44.7048717Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.7049326Z             aten_slice_copy_tensor_83: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_94, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.7049945Z             aten_slice_copy_tensor_84: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_94, 0, 0, 8);  getitem_94 = None
2025-03-21T20:22:44.7050079Z             
2025-03-21T20:22:44.7051297Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:430 in _apply_pre_attention_layer_norm, code: layer_norm_input = self.layer_norm_input(torch.cat([right_context, utterance]))
2025-03-21T20:22:44.7051951Z             aten_cat_default_96: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_84, aten_slice_copy_tensor_83])
2025-03-21T20:22:44.7054279Z             aten_native_layer_norm_default_57 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_cat_default_96, [512], p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_weight, p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_bias, 1e-05);  aten_cat_default_96 = p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_weight = p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_bias = None
2025-03-21T20:22:44.7054738Z             getitem_95: "f32[39, 1, 512]" = aten_native_layer_norm_default_57[0];  aten_native_layer_norm_default_57 = None
2025-03-21T20:22:44.7054865Z             
2025-03-21T20:22:44.7055810Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:432 in _apply_pre_attention_layer_norm, code: layer_norm_input[right_context.size(0) :],
2025-03-21T20:22:44.7056580Z             aten_slice_copy_tensor_85: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_95, 0, 8, 9223372036854775807)
2025-03-21T20:22:44.7056711Z             
2025-03-21T20:22:44.7057655Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:433 in _apply_pre_attention_layer_norm, code: layer_norm_input[: right_context.size(0)],
2025-03-21T20:22:44.7058283Z             aten_slice_copy_tensor_86: "f32[8, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_95, 0, 0, 8);  getitem_95 = None
2025-03-21T20:22:44.7058408Z             
2025-03-21T20:22:44.7059396Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:161 in _forward_impl, code: query = self.emb_to_query(torch.cat([right_context, utterance, summary]))
2025-03-21T20:22:44.7060041Z             aten_cat_default_97: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_86, aten_slice_copy_tensor_85])
2025-03-21T20:22:44.7060905Z             aten_view_copy_default_269: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_97, [39, 512]);  aten_cat_default_97 = None
2025-03-21T20:22:44.7062317Z             aten_permute_copy_default_192: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_weight = None
2025-03-21T20:22:44.7064255Z             aten_addmm_default_95: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_bias, aten_view_copy_default_269, aten_permute_copy_default_192);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_bias = aten_view_copy_default_269 = aten_permute_copy_default_192 = None
2025-03-21T20:22:44.7065021Z             aten_view_copy_default_270: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_95, [39, 1, 512]);  aten_addmm_default_95 = None
2025-03-21T20:22:44.7065154Z             
2025-03-21T20:22:44.7066263Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:164 in _forward_impl, code: key, value = self.emb_to_key_value(torch.cat([mems, right_context, utterance])).chunk(chunks=2, dim=2)
2025-03-21T20:22:44.7067203Z             aten_cat_default_98: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_86, aten_slice_copy_tensor_85]);  aten_slice_copy_tensor_86 = aten_slice_copy_tensor_85 = None
2025-03-21T20:22:44.7067953Z             aten_view_copy_default_271: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_98, [39, 512]);  aten_cat_default_98 = None
2025-03-21T20:22:44.7069403Z             aten_permute_copy_default_193: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_weight = None
2025-03-21T20:22:44.7071296Z             aten_addmm_default_96: "f32[39, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_bias, aten_view_copy_default_271, aten_permute_copy_default_193);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_bias = aten_view_copy_default_271 = aten_permute_copy_default_193 = None
2025-03-21T20:22:44.7072071Z             aten_view_copy_default_272: "f32[39, 1, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_96, [39, 1, 1024]);  aten_addmm_default_96 = None
2025-03-21T20:22:44.7072959Z             aten_split_with_sizes_copy_default_19 = executorch_exir_dialects_edge__ops_aten_split_with_sizes_copy_default(aten_view_copy_default_272, [512, 512], 2);  aten_view_copy_default_272 = None
2025-03-21T20:22:44.7073333Z             getitem_96: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_19[0]
2025-03-21T20:22:44.7073817Z             getitem_97: "f32[39, 1, 512]" = aten_split_with_sizes_copy_default_19[1];  aten_split_with_sizes_copy_default_19 = None
2025-03-21T20:22:44.7073957Z             
2025-03-21T20:22:44.7075050Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:185 in <listcomp>, code: tensor.contiguous().view(-1, B * self.num_heads, self.input_dim // self.num_heads).transpose(0, 1)
2025-03-21T20:22:44.7075842Z             aten_view_copy_default_273: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_270, [-1, 8, 64]);  aten_view_copy_default_270 = None
2025-03-21T20:22:44.7076756Z             aten_permute_copy_default_194: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_273, [1, 0, 2]);  aten_view_copy_default_273 = None
2025-03-21T20:22:44.7077546Z             aten_clone_default_133: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_96, memory_format = torch.contiguous_format);  getitem_96 = None
2025-03-21T20:22:44.7078374Z             aten_view_copy_default_274: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_133, [-1, 8, 64]);  aten_clone_default_133 = None
2025-03-21T20:22:44.7079195Z             aten_permute_copy_default_195: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_274, [1, 0, 2]);  aten_view_copy_default_274 = None
2025-03-21T20:22:44.7079965Z             aten_clone_default_134: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(getitem_97, memory_format = torch.contiguous_format);  getitem_97 = None
2025-03-21T20:22:44.7080740Z             aten_view_copy_default_275: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_134, [-1, 8, 64]);  aten_clone_default_134 = None
2025-03-21T20:22:44.7081625Z             aten_permute_copy_default_196: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_275, [1, 0, 2]);  aten_view_copy_default_275 = None
2025-03-21T20:22:44.7081811Z             
2025-03-21T20:22:44.7082915Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:188 in _forward_impl, code: attention_weights = torch.bmm(reshaped_query * self.scaling, reshaped_key.transpose(1, 2))
2025-03-21T20:22:44.7083895Z             aten_mul_tensor_19: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_permute_copy_default_194, _lifted_tensor_constant21);  aten_permute_copy_default_194 = _lifted_tensor_constant21 = None
2025-03-21T20:22:44.7084767Z             aten_permute_copy_default_197: "f32[8, 64, 39]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_195, [0, 2, 1]);  aten_permute_copy_default_195 = None
2025-03-21T20:22:44.7085665Z             aten_bmm_default_38: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_mul_tensor_19, aten_permute_copy_default_197);  aten_mul_tensor_19 = aten_permute_copy_default_197 = None
2025-03-21T20:22:44.7085803Z             
2025-03-21T20:22:44.7087051Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:134 in _gen_attention_probs, code: attention_weights_float = attention_weights_float.masked_fill(attention_mask.unsqueeze(0), self.negative_inf)
2025-03-21T20:22:44.7087827Z             aten_unsqueeze_copy_default_19: "b8[1, 39, 39]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten__to_copy_default, 0);  aten__to_copy_default = None
2025-03-21T20:22:44.7088556Z             scalar_tensor_19: "f32[]" = torch.ops.aten.scalar_tensor.default(-100000000.0, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'))
2025-03-21T20:22:44.7089737Z             aten_where_self_19: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_where_self(aten_unsqueeze_copy_default_19, scalar_tensor_19, aten_bmm_default_38);  aten_unsqueeze_copy_default_19 = scalar_tensor_19 = aten_bmm_default_38 = None
2025-03-21T20:22:44.7089868Z             
2025-03-21T20:22:44.7091228Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:143 in _gen_attention_probs, code: attention_probs = torch.nn.functional.softmax(attention_weights_float, dim=-1).type_as(attention_weights)
2025-03-21T20:22:44.7091954Z             aten__softmax_default_19: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_where_self_19, -1, False);  aten_where_self_19 = None
2025-03-21T20:22:44.7092094Z             
2025-03-21T20:22:44.7093400Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:144 in _gen_attention_probs, code: return torch.nn.functional.dropout(attention_probs, p=float(self.dropout), training=self.training)
2025-03-21T20:22:44.7094113Z             aten_clone_default_135: "f32[8, 39, 39]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_19);  aten__softmax_default_19 = None
2025-03-21T20:22:44.7094302Z             
2025-03-21T20:22:44.7095216Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:197 in _forward_impl, code: attention = torch.bmm(attention_probs, reshaped_value)
2025-03-21T20:22:44.7096170Z             aten_bmm_default_39: "f32[8, 39, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_clone_default_135, aten_permute_copy_default_196);  aten_clone_default_135 = aten_permute_copy_default_196 = None
2025-03-21T20:22:44.7096296Z             
2025-03-21T20:22:44.7097334Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:204 in _forward_impl, code: attention = attention.transpose(0, 1).contiguous().view(T, B, self.input_dim)
2025-03-21T20:22:44.7098097Z             aten_permute_copy_default_198: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_bmm_default_39, [1, 0, 2]);  aten_bmm_default_39 = None
2025-03-21T20:22:44.7099088Z             aten_clone_default_136: "f32[39, 8, 64]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_198, memory_format = torch.contiguous_format);  aten_permute_copy_default_198 = None
2025-03-21T20:22:44.7099855Z             aten_view_copy_default_276: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_136, [39, 1, 512]);  aten_clone_default_136 = None
2025-03-21T20:22:44.7099990Z             
2025-03-21T20:22:44.7100887Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:207 in _forward_impl, code: output_right_context_mems = self.out_proj(attention)
2025-03-21T20:22:44.7101695Z             aten_view_copy_default_277: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_276, [39, 512]);  aten_view_copy_default_276 = None
2025-03-21T20:22:44.7103060Z             aten_permute_copy_default_199: "f32[512, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_weight = None
2025-03-21T20:22:44.7105259Z             aten_addmm_default_97: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_bias, aten_view_copy_default_277, aten_permute_copy_default_199);  p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_bias = aten_view_copy_default_277 = aten_permute_copy_default_199 = None
2025-03-21T20:22:44.7106295Z             aten_view_copy_default_278: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_97, [39, 1, 512]);  aten_addmm_default_97 = None
2025-03-21T20:22:44.7106438Z             
2025-03-21T20:22:44.7107499Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:422 in _process_attention_output, code: result = self.dropout(rc_output) + torch.cat([right_context, utterance])
2025-03-21T20:22:44.7108235Z             aten_clone_default_137: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_278);  aten_view_copy_default_278 = None
2025-03-21T20:22:44.7109170Z             aten_cat_default_99: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_slice_copy_tensor_84, aten_slice_copy_tensor_83]);  aten_slice_copy_tensor_84 = aten_slice_copy_tensor_83 = None
2025-03-21T20:22:44.7110207Z             aten_add_tensor_38: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_137, aten_cat_default_99);  aten_clone_default_137 = aten_cat_default_99 = None
2025-03-21T20:22:44.7110350Z             
2025-03-21T20:22:44.7111245Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:423 in _process_attention_output, code: result = self.pos_ff(result) + result
2025-03-21T20:22:44.7113500Z             aten_native_layer_norm_default_58 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_38, [512], p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_weight, p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_bias, 1e-05);  p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_weight = p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_bias = None
2025-03-21T20:22:44.7113963Z             getitem_98: "f32[39, 1, 512]" = aten_native_layer_norm_default_58[0];  aten_native_layer_norm_default_58 = None
2025-03-21T20:22:44.7114721Z             aten_view_copy_default_279: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(getitem_98, [39, 512]);  getitem_98 = None
2025-03-21T20:22:44.7116006Z             aten_permute_copy_default_200: "f32[512, 2048]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_weight = None
2025-03-21T20:22:44.7117725Z             aten_addmm_default_98: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_bias, aten_view_copy_default_279, aten_permute_copy_default_200);  p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_bias = aten_view_copy_default_279 = aten_permute_copy_default_200 = None
2025-03-21T20:22:44.7118508Z             aten_view_copy_default_280: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_98, [39, 1, 2048]);  aten_addmm_default_98 = None
2025-03-21T20:22:44.7119222Z             aten_gelu_default_19: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_gelu_default(aten_view_copy_default_280);  aten_view_copy_default_280 = None
2025-03-21T20:22:44.7119891Z             aten_clone_default_138: "f32[39, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_gelu_default_19);  aten_gelu_default_19 = None
2025-03-21T20:22:44.7120657Z             aten_view_copy_default_281: "f32[39, 2048]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_138, [39, 2048]);  aten_clone_default_138 = None
2025-03-21T20:22:44.7121907Z             aten_permute_copy_default_201: "f32[2048, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_weight, [1, 0]);  p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_weight = None
2025-03-21T20:22:44.7123742Z             aten_addmm_default_99: "f32[39, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_bias, aten_view_copy_default_281, aten_permute_copy_default_201);  p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_bias = aten_view_copy_default_281 = aten_permute_copy_default_201 = None
2025-03-21T20:22:44.7124516Z             aten_view_copy_default_282: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_99, [39, 1, 512]);  aten_addmm_default_99 = None
2025-03-21T20:22:44.7125237Z             aten_clone_default_139: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_282);  aten_view_copy_default_282 = None
2025-03-21T20:22:44.7126061Z             aten_add_tensor_39: "f32[39, 1, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_139, aten_add_tensor_38);  aten_clone_default_139 = aten_add_tensor_38 = None
2025-03-21T20:22:44.7126200Z             
2025-03-21T20:22:44.7127214Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:424 in _process_attention_output, code: result = self.layer_norm_output(result)
2025-03-21T20:22:44.7129563Z             aten_native_layer_norm_default_59 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_add_tensor_39, [512], p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_weight, p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_bias, 1e-05);  aten_add_tensor_39 = p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_weight = p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_bias = None
2025-03-21T20:22:44.7130084Z             getitem_99: "f32[39, 1, 512]" = aten_native_layer_norm_default_59[0];  aten_native_layer_norm_default_59 = None
2025-03-21T20:22:44.7130214Z             
2025-03-21T20:22:44.7131428Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:440 in _apply_post_attention_ffn, code: return rc_output[right_context.size(0) :], rc_output[: right_context.size(0)]
2025-03-21T20:22:44.7132148Z             aten_slice_copy_tensor_87: "f32[31, 1, 512]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(getitem_99, 0, 8, 9223372036854775807);  getitem_99 = None
2025-03-21T20:22:44.7132292Z             
2025-03-21T20:22:44.7133085Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/emformer.py:742 in forward, code: return output.permute(1, 0, 2), lengths
2025-03-21T20:22:44.7133914Z             aten_permute_copy_default_202: "f32[1, 31, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_slice_copy_tensor_87, [1, 0, 2]);  aten_slice_copy_tensor_87 = None
2025-03-21T20:22:44.7134043Z             
2025-03-21T20:22:44.7134891Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/rnnt.py:245 in forward, code: output_linear_out = self.output_linear(transformer_out)
2025-03-21T20:22:44.7135733Z             aten_view_copy_default_283: "f32[31, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_202, [31, 512]);  aten_permute_copy_default_202 = None
2025-03-21T20:22:44.7136706Z             aten_permute_copy_default_203: "f32[512, 1024]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_rnnt_transcriber_output_linear_weight, [1, 0]);  p_rnnt_transcriber_output_linear_weight = None
2025-03-21T20:22:44.7138154Z             aten_addmm_default_100: "f32[31, 1024]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_rnnt_transcriber_output_linear_bias, aten_view_copy_default_283, aten_permute_copy_default_203);  p_rnnt_transcriber_output_linear_bias = aten_view_copy_default_283 = aten_permute_copy_default_203 = None
2025-03-21T20:22:44.7138933Z             aten_view_copy_default_284: "f32[1, 31, 1024]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_100, [1, 31, 1024]);  aten_addmm_default_100 = None
2025-03-21T20:22:44.7139198Z             
2025-03-21T20:22:44.7140025Z              # File: /var/lib/ci-user/.local/lib/python3.10/site-packages/torchaudio/models/rnnt.py:246 in forward, code: layer_norm_out = self.layer_norm(output_linear_out)
2025-03-21T20:22:44.7141632Z             aten_native_layer_norm_default_60 = executorch_exir_dialects_edge__ops_aten_native_layer_norm_default(aten_view_copy_default_284, [1024], p_rnnt_transcriber_layer_norm_weight, p_rnnt_transcriber_layer_norm_bias, 1e-05);  aten_view_copy_default_284 = p_rnnt_transcriber_layer_norm_weight = p_rnnt_transcriber_layer_norm_bias = None
2025-03-21T20:22:44.7142093Z             getitem_100: "f32[1, 31, 1024]" = aten_native_layer_norm_default_60[0];  aten_native_layer_norm_default_60 = None
2025-03-21T20:22:44.7142286Z             return (getitem_100, aten_div_tensor_mode)
2025-03-21T20:22:44.7142414Z             
2025-03-21T20:22:44.7590314Z Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_input_linear_weight'), target='rnnt.transcriber.input_linear.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.layer_norm_input.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_layer_norm_input_bias'), target='rnnt.transcriber.transformer.emformer_layers.0.layer_norm_input.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.emb_to_query.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_query_bias'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.emb_to_query.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.emb_to_key_value.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_emb_to_key_value_bias'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.emb_to_key_value.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.out_proj.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_attention_out_proj_bias'), target='rnnt.transcriber.transformer.emformer_layers.0.attention.out_proj.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.pos_ff.0.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_0_bias'), target='rnnt.transcriber.transformer.emformer_layers.0.pos_ff.0.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_0_pos_ff_1_weight'), target='rnnt.transcriber.transformer.emformer_layers.0.pos_ff.1.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, 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arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_1_bias'), target='rnnt.transcriber.transformer.emformer_layers.17.pos_ff.1.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_weight'), target='rnnt.transcriber.transformer.emformer_layers.17.pos_ff.4.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_17_pos_ff_4_bias'), target='rnnt.transcriber.transformer.emformer_layers.17.pos_ff.4.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_weight'), target='rnnt.transcriber.transformer.emformer_layers.17.layer_norm_output.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_17_layer_norm_output_bias'), target='rnnt.transcriber.transformer.emformer_layers.17.layer_norm_output.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.layer_norm_input.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_input_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.layer_norm_input.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.emb_to_query.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_query_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.emb_to_query.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.emb_to_key_value.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_emb_to_key_value_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.emb_to_key_value.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.out_proj.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_attention_out_proj_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.attention.out_proj.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.0.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_0_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.0.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.1.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_1_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.1.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.4.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_pos_ff_4_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.pos_ff.4.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_weight'), target='rnnt.transcriber.transformer.emformer_layers.18.layer_norm_output.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_18_layer_norm_output_bias'), target='rnnt.transcriber.transformer.emformer_layers.18.layer_norm_output.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.layer_norm_input.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_input_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.layer_norm_input.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.emb_to_query.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_query_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.emb_to_query.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.emb_to_key_value.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_emb_to_key_value_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.emb_to_key_value.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.out_proj.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_attention_out_proj_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.attention.out_proj.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.0.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_0_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.0.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.1.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_1_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.1.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.4.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_pos_ff_4_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.pos_ff.4.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_weight'), target='rnnt.transcriber.transformer.emformer_layers.19.layer_norm_output.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_transformer_emformer_layers_19_layer_norm_output_bias'), target='rnnt.transcriber.transformer.emformer_layers.19.layer_norm_output.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_output_linear_weight'), target='rnnt.transcriber.output_linear.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_output_linear_bias'), target='rnnt.transcriber.output_linear.bias', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_layer_norm_weight'), target='rnnt.transcriber.layer_norm.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_rnnt_transcriber_layer_norm_bias'), target='rnnt.transcriber.layer_norm.bias', persistent=None), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant0'), target='_lifted_tensor_constant0', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant1'), target='_lifted_tensor_constant1', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant2'), target='_lifted_tensor_constant2', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant3'), target='_lifted_tensor_constant3', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant4'), target='_lifted_tensor_constant4', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant5'), target='_lifted_tensor_constant5', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant6'), target='_lifted_tensor_constant6', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant7'), target='_lifted_tensor_constant7', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant8'), target='_lifted_tensor_constant8', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant9'), target='_lifted_tensor_constant9', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant10'), target='_lifted_tensor_constant10', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant11'), target='_lifted_tensor_constant11', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant12'), target='_lifted_tensor_constant12', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant13'), target='_lifted_tensor_constant13', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant14'), target='_lifted_tensor_constant14', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant15'), target='_lifted_tensor_constant15', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant16'), target='_lifted_tensor_constant16', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant17'), target='_lifted_tensor_constant17', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant18'), target='_lifted_tensor_constant18', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant19'), target='_lifted_tensor_constant19', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant20'), target='_lifted_tensor_constant20', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant21'), target='_lifted_tensor_constant21', persistent=True), InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='transcribe_inputs_0'), target=None, persistent=None), InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='transcribe_inputs_1'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='getitem_100'), target=None), OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_div_tensor_mode'), target=None)])
2025-03-21T20:23:20.1128532Z Range constraints: {}
2025-03-21T20:23:20.1130696Z 
2025-03-21T20:23:20.1133520Z [INFO 2025-03-21 20:23:12,568 utils.py:141] Saved exported program to ./emformer_transcribe.pte
2025-03-21T20:23:20.1134338Z + run_portable_executor_runner
2025-03-21T20:23:20.1134764Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:23:20.1135197Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:23:20.1135608Z + build_cmake_executor_runner
2025-03-21T20:23:20.1136033Z + echo 'Building executor_runner'
2025-03-21T20:23:20.1136481Z Building executor_runner
2025-03-21T20:23:20.1136883Z + rm -rf cmake-out
2025-03-21T20:23:20.1137661Z + cmake -DCMAKE_BUILD_TYPE=Debug -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:23:20.1138576Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:23:20.1139121Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:23:20.1139658Z -- Detecting C compiler ABI info
2025-03-21T20:23:20.1140135Z -- Detecting C compiler ABI info - done
2025-03-21T20:23:20.1141091Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:23:20.1141699Z -- Detecting C compile features
2025-03-21T20:23:20.1142151Z -- Detecting C compile features - done
2025-03-21T20:23:20.1142635Z -- Detecting CXX compiler ABI info
2025-03-21T20:23:20.1143263Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:23:20.1143850Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:23:20.1144428Z -- Detecting CXX compile features
2025-03-21T20:23:20.1144882Z -- Detecting CXX compile features - done
2025-03-21T20:23:20.1146087Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:20.1147124Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:20.1147734Z   CMake.
2025-03-21T20:23:20.1147902Z 
2025-03-21T20:23:20.1148230Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:20.1149048Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:20.1149760Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:20.1150144Z 
2025-03-21T20:23:20.1150327Z 
2025-03-21T20:23:20.1151198Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:20.1152253Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:20.1152854Z   CMake.
2025-03-21T20:23:20.1153021Z 
2025-03-21T20:23:20.1153356Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:20.1154145Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:20.1154844Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:20.1155216Z 
2025-03-21T20:23:20.1155397Z 
2025-03-21T20:23:20.1155740Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:23:20.1156294Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:23:20.1156802Z -- Found Threads: TRUE
2025-03-21T20:23:20.1157771Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:20.1158846Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:20.1159448Z   CMake.
2025-03-21T20:23:20.1159620Z 
2025-03-21T20:23:20.1159950Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:20.1160744Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:20.1161431Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:20.1161800Z 
2025-03-21T20:23:20.1161984Z 
2025-03-21T20:23:20.1162322Z -- Using python executable 'python'
2025-03-21T20:23:20.1163284Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:23:20.1164529Z -- Killing buck2 daemon
2025-03-21T20:23:20.1165391Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:23:20.1166326Z -- executorch: Generating source lists
2025-03-21T20:23:20.1167071Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:23:20.1168055Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:23:20.1168770Z -- executorch: Using PAL default 'posix'
2025-03-21T20:23:20.1169235Z -- Generating operator lib:
2025-03-21T20:23:20.1169641Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:20.1174292Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:23:20.1175131Z --   ROOT_OPS: 
2025-03-21T20:23:20.1175478Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:23:20.1177467Z 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"
2025-03-21T20:23:20.1179076Z -- Generating kernel bindings:
2025-03-21T20:23:20.1179493Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:20.1180083Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:23:20.1180824Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:20.1181214Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:23:20.1183579Z 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
2025-03-21T20:23:20.1185704Z -- Generating operator lib:
2025-03-21T20:23:20.1186127Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:20.1186551Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:23:20.1186983Z --   DEPS: executorch
2025-03-21T20:23:20.1187710Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:23:20.1188525Z -- Generating operator lib:
2025-03-21T20:23:20.1188929Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:23:20.1189522Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:23:20.1190136Z --   ROOT_OPS: 
2025-03-21T20:23:20.1190483Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:23:20.1192216Z 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"
2025-03-21T20:23:20.1193791Z -- Generating kernel bindings:
2025-03-21T20:23:20.1194221Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:23:20.1194815Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:23:20.1195434Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:20.1195822Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:23:20.1198212Z 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
2025-03-21T20:23:20.1200319Z -- Generating operator lib:
2025-03-21T20:23:20.1200731Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:23:20.1201162Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:23:20.1201592Z --   DEPS: executorch
2025-03-21T20:23:20.1201963Z -- Merging kernel yaml files:
2025-03-21T20:23:20.1202655Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:23:20.1203673Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:23:20.1204785Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:23:20.1205650Z -- Generating operator lib:
2025-03-21T20:23:20.1206086Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:23:20.1206745Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:23:20.1207367Z --   ROOT_OPS: 
2025-03-21T20:23:20.1207704Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:23:20.1209529Z 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"
2025-03-21T20:23:20.1211305Z -- Generating kernel bindings:
2025-03-21T20:23:20.1211746Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:23:20.1212628Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:23:20.1213304Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:20.1213687Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:23:20.1216361Z 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
2025-03-21T20:23:20.1218631Z -- Generating operator lib:
2025-03-21T20:23:20.1219199Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:23:20.1219775Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:23:20.1220323Z --   DEPS: executorch
2025-03-21T20:23:20.1221145Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:23:20.1222082Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:20.1222682Z   CMake.
2025-03-21T20:23:20.1222858Z 
2025-03-21T20:23:20.1223193Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:20.1223989Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:20.1224698Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:20.1225077Z 
2025-03-21T20:23:20.1225262Z 
2025-03-21T20:23:20.1225584Z -- Looking for C++ include unistd.h
2025-03-21T20:23:20.1226077Z -- Looking for C++ include unistd.h - found
2025-03-21T20:23:20.1226554Z -- Looking for C++ include stdint.h
2025-03-21T20:23:20.1227034Z -- Looking for C++ include stdint.h - found
2025-03-21T20:23:20.1227535Z -- Looking for C++ include inttypes.h
2025-03-21T20:23:20.1228020Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:23:20.1228522Z -- Looking for C++ include sys/types.h
2025-03-21T20:23:20.1229003Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:23:20.1229497Z -- Looking for C++ include sys/stat.h
2025-03-21T20:23:20.1229988Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:23:20.1230475Z -- Looking for C++ include fnmatch.h
2025-03-21T20:23:20.1230951Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:23:20.1231429Z -- Looking for C++ include stddef.h
2025-03-21T20:23:20.1231905Z -- Looking for C++ include stddef.h - found
2025-03-21T20:23:20.1232371Z -- Check size of uint32_t
2025-03-21T20:23:20.1232768Z -- Check size of uint32_t - done
2025-03-21T20:23:20.1233186Z -- Looking for strtoll
2025-03-21T20:23:20.1233561Z -- Looking for strtoll - found
2025-03-21T20:23:20.1233951Z -- 
2025-03-21T20:23:20.1234259Z -- ******** Summary ********
2025-03-21T20:23:20.1234670Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:23:20.1235134Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:23:20.1235596Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:23:20.1236063Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:23:20.1236977Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:23:20.1237915Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:23:20.1238620Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:23:20.1239596Z --   EXECUTORCH_ENABLE_LOGGING              : ON
2025-03-21T20:23:20.1240118Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON
2025-03-21T20:23:20.1240655Z --   EXECUTORCH_LOG_LEVEL                   : Info
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2025-03-21T20:23:22.0029448Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:23:22.0070759Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:23:22.0071600Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:23:22.0072149Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:23:22.0072767Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:23:22.0073826Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:23:22.0074641Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:23:22.0075376Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:23:22.0076149Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:23:22.0077122Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:23:22.0077931Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:23:22.0093901Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:23:22.0094570Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:23:22.0096122Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:23:22.0096647Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:23:22.0097168Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:23:22.0097709Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:23:22.0098265Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:23:22.0098970Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:23:22.0099705Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:23:22.0100248Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:23:22.0100795Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:23:22.0101327Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:23:22.0101856Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:23:22.0102394Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:23:22.0102916Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:23:22.0103454Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:23:22.0104239Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:23:22.0104783Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:23:22.0105293Z -- Configuring done (5.3s)
2025-03-21T20:23:22.0105706Z -- Generating done (0.1s)
2025-03-21T20:23:22.0106263Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:23:22.0106898Z + cmake --build cmake-out -j4 --config Debug
2025-03-21T20:23:22.0107768Z [  1%] Creating directories for 'flatbuffers'
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2025-03-21T20:23:22.0114768Z [  2%] Performing configure step for 'flatbuffers'
2025-03-21T20:23:22.0115401Z CMake Warning:
2025-03-21T20:23:22.0115872Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:23:22.0116275Z 
2025-03-21T20:23:22.0116462Z 
2025-03-21T20:23:22.0116836Z fatal: No names found, cannot describe anything.
2025-03-21T20:23:22.0117854Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:23:22.0118416Z   git describe failed with exit code: 128
2025-03-21T20:23:22.0118735Z 
2025-03-21T20:23:22.0118988Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:23:22.0119548Z Call Stack (most recent call first):
2025-03-21T20:23:22.0119997Z   CMakeLists.txt:5 (include)
2025-03-21T20:23:22.0120266Z 
2025-03-21T20:23:22.0120456Z 
2025-03-21T20:23:22.0120788Z -- Proceeding with version: 24.3.25.0
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2025-03-21T20:23:22.0124363Z -- The CXX compiler identification is GNU 11.4.0
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2025-03-21T20:23:28.3842749Z [ 23%] Built target cpublas
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2025-03-21T20:23:28.3844050Z [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_add.cpp.o
2025-03-21T20:23:28.3845302Z [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_bmm.cpp.o
2025-03-21T20:23:28.3846570Z [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_div.cpp.o
2025-03-21T20:23:28.3847988Z [ 23%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_exp.cpp.o
2025-03-21T20:23:28.3849293Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_fft_r2c.cpp.o
2025-03-21T20:23:28.3850843Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_gelu.cpp.o
2025-03-21T20:23:28.3852125Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:23:28.3853330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:23:28.3854532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:23:28.3855460Z                  from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:23:28.3858044Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:23:28.3861951Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3864008Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:23:28.3864630Z       |                                                             ^
2025-03-21T20:23:28.3865563Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-03-21T20:23:28.3866851Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:23:28.3868207Z [ 24%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:23:28.3869517Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:23:28.3870773Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:23:28.3872134Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:23:28.3873467Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:23:28.3874672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:23:28.3875810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:23:28.3876992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:23:28.3877973Z                  from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:23:28.3880662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:23:28.3884408Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3886447Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:23:28.3887197Z       |                                                             ^
2025-03-21T20:23:28.3888158Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_neg.cpp.o
2025-03-21T20:23:28.3889362Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:23:28.3892808Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:23:28.3898968Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.3902614Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.3904817Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3906317Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:28.3906865Z       | ^~~~~~~~~~~~~~
2025-03-21T20:23:28.3909720Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:23:28.3915655Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.3919289Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.3921271Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3925552Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:23:28.3930877Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:28.3937088Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.3940863Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.3942901Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3944394Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:28.3944983Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:23:28.3947980Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:23:28.3953050Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:28.3958970Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.3962601Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.3964583Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3965977Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:23:28.3966519Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:23:28.3967295Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:23:28.3968147Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:23:28.3969036Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:23:28.3969932Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:23:28.3973898Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = double; typename std::decay<_Tp2>::type = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = double; typename std::decay<_Tp>::type = double]’:
2025-03-21T20:23:28.3979589Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:28.3984718Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:28.3990638Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.3994266Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.3995997Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.3997123Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:23:28.3997569Z       |     ^~~~~~~~~
2025-03-21T20:23:28.4000914Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = float; typename std::decay<_Tp2>::type = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = float; typename std::decay<_Tp>::type = float]’:
2025-03-21T20:23:28.4007556Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:28.4012982Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:28.6762637Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:28.6766524Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:28.6768284Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6772186Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:23:28.6775917Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6777376Z    83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:23:28.6777959Z       |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:23:28.6780963Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:23:28.6784652Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6788502Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:23:28.6792226Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6793538Z    27 | void layer_norm(
2025-03-21T20:23:28.6793908Z       |      ^~~~~~~~~~
2025-03-21T20:23:28.6796804Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:23:28.6800728Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6802343Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:23:28.6805723Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double]’:
2025-03-21T20:23:28.6809079Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6810698Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:28.6811252Z       | ^~~~~~~~~~~~~~
2025-03-21T20:23:28.6813512Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float]’:
2025-03-21T20:23:28.6816853Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6820253Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4]’:
2025-03-21T20:23:28.6823576Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6825072Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:28.6825643Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:23:28.6828061Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4]’:
2025-03-21T20:23:28.6831337Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6832744Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:23:28.6833273Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:23:28.6833913Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:23:28.6834760Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:23:28.6835652Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:23:28.6836555Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:23:28.6838835Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double]’:
2025-03-21T20:23:28.6841656Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6842779Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:23:28.6843213Z       |     ^~~~~~~~~
2025-03-21T20:23:28.6845138Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float]’:
2025-03-21T20:23:28.6847845Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:28.6849464Z [ 25%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_sigmoid.cpp.o
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2025-03-21T20:23:28.6852291Z [ 26%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_where.cpp.o
2025-03-21T20:23:28.6853803Z [ 26%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op__empty_dim_order.cpp.o
2025-03-21T20:23:28.6855267Z [ 26%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op__empty_dim_order.cpp.o
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2025-03-21T20:23:33.1458653Z [ 29%] Built target optimized_kernels
2025-03-21T20:23:33.1459551Z [ 29%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_amin.cpp.o
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2025-03-21T20:23:50.1868488Z [ 88%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_zeros.cpp.o
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2025-03-21T20:23:50.1871657Z [ 88%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unbind_copy.cpp.o
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2025-03-21T20:23:50.1875172Z [ 89%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/pattern/unary_ufunc_realhbbf16_to_floathbf16.cpp.o
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2025-03-21T20:23:50.1878621Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unfold_copy.cpp.o
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2025-03-21T20:23:50.1881966Z [ 89%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/broadcast_util.cpp.o
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2025-03-21T20:23:50.1884974Z [ 89%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_unsqueeze_copy.cpp.o
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2025-03-21T20:23:50.1888037Z [ 90%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/distance_util.cpp.o
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2025-03-21T20:23:50.1891107Z [ 90%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_upsample_bilinear2d.cpp.o
2025-03-21T20:23:50.1892589Z [ 90%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/index_util.cpp.o
2025-03-21T20:23:50.1894094Z [ 90%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/kernel_ops_util.cpp.o
2025-03-21T20:23:50.1895705Z [ 91%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/matmul_ops_util.cpp.o
2025-03-21T20:23:50.1897293Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_upsample_nearest2d.cpp.o
2025-03-21T20:23:50.1898876Z [ 92%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/normalization_ops_util.cpp.o
2025-03-21T20:23:50.1900599Z [ 92%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/padding_util.cpp.o
2025-03-21T20:23:50.1901994Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_var.cpp.o
2025-03-21T20:23:50.1903361Z [ 92%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/reduce_util.cpp.o
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2025-03-21T20:23:50.1906740Z [ 93%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-03-21T20:23:50.1908274Z [ 93%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-03-21T20:23:50.1909701Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_view_copy.cpp.o
2025-03-21T20:23:50.1911146Z [ 93%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:23:50.1912765Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_where.cpp.o
2025-03-21T20:23:50.1914052Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_zeros.cpp.o
2025-03-21T20:23:50.1915571Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realh.cpp.o
2025-03-21T20:23:50.1916757Z [ 94%] Linking CXX static library liboptimized_portable_kernels.a
2025-03-21T20:23:50.1918030Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realhb_to_bool.cpp.o
2025-03-21T20:23:50.1920030Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/pattern/unary_ufunc_realhbbf16_to_floathbf16.cpp.o
2025-03-21T20:23:50.1921649Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/activation_ops_util.cpp.o
2025-03-21T20:23:50.1923125Z [ 94%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/advanced_index_util.cpp.o
2025-03-21T20:23:50.1924565Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/broadcast_util.cpp.o
2025-03-21T20:23:50.1925954Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/copy_ops_util.cpp.o
2025-03-21T20:23:50.1927369Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/delinearize_index.cpp.o
2025-03-21T20:23:50.1928795Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/distance_util.cpp.o
2025-03-21T20:23:50.1930183Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/dtype_util.cpp.o
2025-03-21T20:23:50.1931627Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/index_util.cpp.o
2025-03-21T20:23:50.1933008Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/kernel_ops_util.cpp.o
2025-03-21T20:23:50.1934440Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/matmul_ops_util.cpp.o
2025-03-21T20:23:50.1935887Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/normalization_ops_util.cpp.o
2025-03-21T20:23:50.1937341Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/padding_util.cpp.o
2025-03-21T20:23:50.1938728Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/reduce_util.cpp.o
2025-03-21T20:23:50.1940113Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/repeat_util.cpp.o
2025-03-21T20:23:50.1941725Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-03-21T20:24:42.3820415Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-03-21T20:24:42.3821936Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:24:42.3823036Z [ 98%] Linking CXX static library libportable_kernels.a
2025-03-21T20:24:42.3824111Z [ 98%] Built target optimized_portable_kernels
2025-03-21T20:24:42.3824750Z [ 98%] Merging kernel yaml files
2025-03-21T20:24:42.3825573Z [ 99%] Generating selected_operators.yaml for optimized_native_cpu_ops_lib
2025-03-21T20:24:42.3826431Z [ 99%] Generating code for kernel registration
2025-03-21T20:24:42.3826989Z [ 99%] Built target portable_kernels
2025-03-21T20:24:42.3827688Z [ 99%] Generating selected_operators.yaml for portable_ops_lib
2025-03-21T20:24:42.3828486Z [ 99%] Generating code for kernel registration
2025-03-21T20:24:42.3830155Z [ 99%] Building CXX object configurations/CMakeFiles/optimized_native_cpu_ops_lib.dir/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:24:42.3831670Z [ 99%] Linking CXX static library liboptimized_native_cpu_ops_lib.a
2025-03-21T20:24:42.3832537Z [ 99%] Built target optimized_native_cpu_ops_lib
2025-03-21T20:24:42.3833742Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:24:42.3835276Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:24:42.3836673Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:24:42.3838140Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:24:42.3839464Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:24:42.3840872Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:24:42.3841958Z [100%] Linking CXX executable executor_runner
2025-03-21T20:24:42.3843323Z [100%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:24:42.3844738Z [100%] Linking CXX static library libportable_ops_lib.a
2025-03-21T20:24:42.3845328Z [100%] Built target portable_ops_lib
2025-03-21T20:24:42.3845834Z [100%] Built target executor_runner
2025-03-21T20:24:42.3846477Z + ./cmake-out/executor_runner --model_path ./emformer_transcribe.pte
2025-03-21T20:24:42.3847361Z I 00:00:00.000765 executorch:cpuinfo_utils.cpp:62] Reading file /sys/devices/soc0/image_version
2025-03-21T20:24:42.3848388Z I 00:00:00.000809 executorch:cpuinfo_utils.cpp:78] Failed to open midr file /sys/devices/soc0/image_version
2025-03-21T20:24:42.3849674Z I 00:00:00.000827 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu0/regs/identification/midr_el1
2025-03-21T20:24:42.3851033Z I 00:00:00.000880 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu1/regs/identification/midr_el1
2025-03-21T20:24:42.3852314Z I 00:00:00.000907 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu2/regs/identification/midr_el1
2025-03-21T20:24:42.3853589Z I 00:00:00.000932 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu3/regs/identification/midr_el1
2025-03-21T20:24:42.3854855Z I 00:00:00.000956 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu4/regs/identification/midr_el1
2025-03-21T20:24:42.3856132Z I 00:00:00.000978 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu5/regs/identification/midr_el1
2025-03-21T20:24:42.3857409Z I 00:00:00.000997 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu6/regs/identification/midr_el1
2025-03-21T20:24:42.3858681Z I 00:00:00.001019 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu7/regs/identification/midr_el1
2025-03-21T20:24:42.3859806Z I 00:00:00.001044 executorch:executor_runner.cpp:142] Resetting threadpool with num threads = 8
2025-03-21T20:24:42.3861047Z I 00:00:00.090313 executorch:executor_runner.cpp:166] Model file ./emformer_transcribe.pte is loaded.
2025-03-21T20:24:42.3861958Z I 00:00:00.090351 executorch:executor_runner.cpp:175] Using method forward
2025-03-21T20:24:42.3862841Z I 00:00:00.090369 executorch:executor_runner.cpp:226] Setting up planned buffer 0, size 4675088.
2025-03-21T20:24:42.3863681Z I 00:00:00.101202 executorch:executor_runner.cpp:251] Method loaded.
2025-03-21T20:24:42.3864603Z I 00:00:44.238928 executorch:executor_runner.cpp:284] Model executed successfully 1 time(s) in 44137.622730 ms.
2025-03-21T20:24:42.3865498Z I 00:00:44.238974 executorch:executor_runner.cpp:293] 2 outputs: 
2025-03-21T20:24:42.3866076Z Output 0: tensor(sizes=[1, 31, 1024], [
2025-03-21T20:24:42.3866953Z   0.00137397, -0.649606, -0.224963, 0.0927198, -0.411726, -0.00747949, 0.0718297, -0.583391, -0.625925, -0.498087, 
2025-03-21T20:24:42.3867915Z   -0.198716, 0.23125, -0.208723, 0.409433, -1.10335, 0.253171, -0.558746, 0.202378, -0.0938042, 0.0461829, 
2025-03-21T20:24:42.3868918Z   -0.142167, -0.203676, 0.303811, -0.471854, -0.953747, -0.808404, -0.108229, -0.38332, -0.312023, -0.193353, 
2025-03-21T20:24:42.3869890Z   0.153642, -0.0529037, 0.00958823, -0.505449, -0.0707117, -0.135818, 0.00697997, -0.191335, -0.727613, -0.561323, 
2025-03-21T20:24:42.3870848Z   0.0630629, -0.348791, 0.0771454, -0.287105, -0.234445, -0.555464, -0.681074, -0.469627, 0.0836534, 0.146836, 
2025-03-21T20:24:42.3871907Z   -0.105999, -0.300882, -0.0329373, 0.106341, -0.166924, -0.0948334, -0.74189, -0.534073, 0.0709564, -0.313783, 
2025-03-21T20:24:42.3872961Z   -0.050534, -0.290998, -0.156287, -0.182684, -0.356889, -0.0175101, -0.100843, -0.249609, 0.895678, 0.0122409, 
2025-03-21T20:24:42.3873917Z   -0.0542858, -1.49185, -0.655626, -0.235847, -0.309745, -0.375382, -0.30016, -0.186248, -0.452916, 0.0500172, 
2025-03-21T20:24:42.3874853Z   0.717124, -0.156701, -0.499753, -0.771176, -0.0121051, -0.0123609, 0.197363, -0.59002, -0.272514, -0.225068, 
2025-03-21T20:24:42.3875806Z   -0.462109, -0.498671, -0.265699, -0.186582, -0.123539, -0.310172, -0.0609497, -0.184222, 0.15478, -1.07088, 
2025-03-21T20:24:42.3876519Z   ...,
2025-03-21T20:24:42.3877072Z   -0.11878, 0.00477795, 0.627499, -0.488543, -0.8587, 0.19421, -0.413931, -0.693086, 0.325511, -1.67802, 
2025-03-21T20:24:42.3878057Z   -0.386102, 0.219123, -0.216832, 0.441054, 0.243704, 0.117681, 0.202127, 0.122902, -0.00707353, -0.259119, 
2025-03-21T20:24:42.3879094Z   0.240492, -0.0409056, -0.172476, 0.396349, -0.34211, -0.778659, -0.198716, -0.440614, 0.0504134, -0.331791, 
2025-03-21T20:24:42.3880110Z   -0.503007, 0.0753417, 0.175156, -0.911874, -0.364213, -0.0937221, -0.308253, -0.215726, 0.454118, -0.534099, 
2025-03-21T20:24:42.3881104Z   -0.609365, -0.440901, 0.00104261, -0.39303, -0.476997, -1.11214, -0.586072, -0.130428, -0.044545, -0.432319, 
2025-03-21T20:24:42.3882156Z   0.398685, -0.00324607, 0.0447729, -0.14906, -0.0708109, -0.407867, -0.0659853, -0.419365, -0.0497967, -2.18103, 
2025-03-21T20:24:42.3883119Z   -0.0666193, 0.551148, -0.136373, -0.284034, -0.295897, -0.0683884, -0.549845, -0.040992, -0.0711572, 0.362037, 
2025-03-21T20:24:42.3884092Z   -0.139528, -0.0478264, -0.0511068, 0.230922, -0.387406, -0.288226, -0.14523, -0.0894371, -0.0513299, -0.084503, 
2025-03-21T20:24:42.3885057Z   0.0818368, -0.536154, -0.345573, 0.32194, -0.269454, -0.137791, -0.0934845, -0.378789, 0.372286, -0.586138, 
2025-03-21T20:24:42.3885995Z   -0.45911, 0.475686, -0.874427, -0.351539, -0.265845, 0.0863416, -0.0968106, -0.361537, 0.439916, 0.11756, 
2025-03-21T20:24:42.3886684Z ])
2025-03-21T20:24:42.3887087Z Output 1: tensor(sizes=[1], [0])
2025-03-21T20:24:42.3969040Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:24:42.3969622Z with:
2025-03-21T20:24:42.3970061Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:42.3971242Z   fail-on-empty: false
2025-03-21T20:24:42.3971599Z env:
2025-03-21T20:24:42.3972133Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:42.3972982Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:42.3973745Z   PR_NUMBER: 
2025-03-21T20:24:42.3976228Z   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=emformer_transcribe
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}"

2025-03-21T20:24:42.3979234Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:42.3980190Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:42.3981179Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:42.3981829Z ##[endgroup]
2025-03-21T20:24:42.4743405Z Prepare all required actions
2025-03-21T20:24:42.4797404Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:24:42.4797970Z with:
2025-03-21T20:24:42.4798461Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:24:42.4799094Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:24:42.4799479Z env:
2025-03-21T20:24:42.4799868Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:42.4800638Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:42.4801041Z   PR_NUMBER: 
2025-03-21T20:24:42.4803501Z   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=emformer_transcribe
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}"

2025-03-21T20:24:42.4806891Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:42.4807726Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:42.4808490Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:42.4809044Z ##[endgroup]
2025-03-21T20:24:42.4841256Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:24:42.4842261Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:24:42.4853934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:24:42.4854472Z env:
2025-03-21T20:24:42.4855031Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:42.4855569Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:42.4855976Z   PR_NUMBER: 
2025-03-21T20:24:42.4858365Z   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=emformer_transcribe
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}"

2025-03-21T20:24:42.4861038Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:42.4861875Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:42.4862645Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:42.4863215Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:24:42.4863784Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:24:42.4864378Z ##[endgroup]
2025-03-21T20:24:42.5068545Z Unable to find image 'arm64v8/alpine:latest' locally
2025-03-21T20:24:42.6810975Z latest: Pulling from arm64v8/alpine
2025-03-21T20:24:42.7344849Z 6e771e15690e: Pulling fs layer
2025-03-21T20:24:42.8218771Z 6e771e15690e: Verifying Checksum
2025-03-21T20:24:42.8219282Z 6e771e15690e: Download complete
2025-03-21T20:24:42.9423918Z 6e771e15690e: Pull complete
2025-03-21T20:24:42.9565823Z Digest: sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:24:42.9608488Z Status: Downloaded newer image for arm64v8/alpine:latest
2025-03-21T20:24:44.1628442Z Prepare all required actions
2025-03-21T20:24:44.1668989Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:24:44.1669528Z with:
2025-03-21T20:24:44.1669934Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:24:44.1670459Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:24:44.1670854Z env:
2025-03-21T20:24:44.1671255Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:44.1671803Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:44.1672218Z   PR_NUMBER: 
2025-03-21T20:24:44.1674660Z   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=emformer_transcribe
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}"

2025-03-21T20:24:44.1677587Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:44.1678424Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:44.1679210Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:44.1679757Z ##[endgroup]
2025-03-21T20:24:44.1712948Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:24:44.1713938Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:24:44.1723848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:24:44.1724395Z env:
2025-03-21T20:24:44.1724814Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:44.1725375Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:44.1725796Z   PR_NUMBER: 
2025-03-21T20:24:44.1728221Z   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=emformer_transcribe
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}"

2025-03-21T20:24:44.1731219Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:44.1732079Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:44.1732905Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:44.1733497Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:24:44.1733995Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:24:44.1734508Z ##[endgroup]
2025-03-21T20:24:45.0202273Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:24:45.0203350Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:24:45.0204320Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:24:45.0205088Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:24:45.0205975Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:24:45.0206689Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:24:45.0207314Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:24:45.0208119Z   fi
2025-03-21T20:24:45.0208526Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:24:45.0209169Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:24:45.0209743Z   fi
2025-03-21T20:24:45.0210127Z fi
2025-03-21T20:24:45.0210590Z 
2025-03-21T20:24:45.0210916Z upload_docs=0
2025-03-21T20:24:45.0211506Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:24:45.0212183Z # empty folders do not count
2025-03-21T20:24:45.0212845Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:24:45.0213704Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:24:45.0214426Z   # upload will probably not work correctly
2025-03-21T20:24:45.0214931Z   upload_docs=1
2025-03-21T20:24:45.0215307Z fi
2025-03-21T20:24:45.0215773Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:24:45.0226965Z shell: /usr/bin/bash -e {0}
2025-03-21T20:24:45.0227400Z env:
2025-03-21T20:24:45.0227810Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:45.0228400Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:45.0228824Z   PR_NUMBER: 
2025-03-21T20:24:45.0231539Z   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=emformer_transcribe
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}"

2025-03-21T20:24:45.0234260Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:45.0235105Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:45.0235941Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:45.0236522Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:24:45.0237035Z ##[endgroup]
2025-03-21T20:24:45.0459416Z Prepare all required actions
2025-03-21T20:24:45.0516151Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:24:45.0516777Z with:
2025-03-21T20:24:45.0517143Z env:
2025-03-21T20:24:45.0517562Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:45.0518120Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:45.0518546Z   PR_NUMBER: 
2025-03-21T20:24:45.0521003Z   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=emformer_transcribe
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}"

2025-03-21T20:24:45.0523711Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:45.0524633Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:45.0525454Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:45.0526231Z ##[endgroup]
2025-03-21T20:24:45.0581483Z ##[group]Run set -eou pipefail
2025-03-21T20:24:45.0581977Z set -eou pipefail
2025-03-21T20:24:45.0582378Z 
2025-03-21T20:24:45.0582907Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:24:45.0583585Z for _ in $(seq 1440); do
2025-03-21T20:24:45.0584074Z     # Break if no ssh session exists anymore
2025-03-21T20:24:45.0584593Z     if [ "$(who)" = "" ]; then
2025-03-21T20:24:45.0585036Z       break
2025-03-21T20:24:45.0585385Z     fi
2025-03-21T20:24:45.0586104Z     echo "."
2025-03-21T20:24:45.0586472Z     sleep 5
2025-03-21T20:24:45.0616035Z done
2025-03-21T20:24:45.0624994Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:24:45.0625699Z env:
2025-03-21T20:24:45.0626173Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:45.0626748Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:45.0627174Z   PR_NUMBER: 
2025-03-21T20:24:45.0629569Z   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=emformer_transcribe
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}"

2025-03-21T20:24:45.0632254Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:45.0633100Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:45.0633978Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:45.0634544Z ##[endgroup]
2025-03-21T20:24:45.0670112Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:24:45.0753376Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:24:45.0754219Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:24:45.0754844Z # shellcheck disable=SC2046
2025-03-21T20:24:45.0755360Z docker stop $(docker ps -q) || true
2025-03-21T20:24:45.0755881Z # Prune all of the docker images
2025-03-21T20:24:45.0756375Z docker system prune -af
2025-03-21T20:24:45.0766057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:24:45.0766625Z env:
2025-03-21T20:24:45.0767059Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:45.0767612Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:45.0768169Z   PR_NUMBER: 
2025-03-21T20:24:45.0771869Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
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}"

2025-03-21T20:24:45.0774805Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:45.0775661Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:45.0776469Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:45.0777041Z ##[endgroup]
2025-03-21T20:24:55.6877414Z c676c696c23e
2025-03-21T20:24:55.9771032Z Deleted Containers:
2025-03-21T20:24:55.9771675Z c676c696c23e8ca4c04796b746356e1a1f1fd5ddc424802224ead5ec724d4fc8
2025-03-21T20:24:55.9772140Z 
2025-03-21T20:24:59.6511526Z Deleted Images:
2025-03-21T20:24:59.6512018Z untagged: arm64v8/alpine:latest
2025-03-21T20:24:59.6512820Z untagged: arm64v8/alpine@sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:24:59.6513880Z deleted: sha256:8d591b0b7dea080ea3be9e12ae563eebf9869168ffced1cb25b2470a3d9fe15e
2025-03-21T20:24:59.6514823Z deleted: sha256:a16e98724c05975ee8c40d8fe389c3481373d34ab20a1cf52ea2accc43f71f4c
2025-03-21T20:24:59.6516124Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:24:59.6517988Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64@sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:24:59.6519834Z deleted: sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4
2025-03-21T20:24:59.6520742Z deleted: sha256:09f32a7b4424aa2d53cb6746ad96c97d11402e32508800950db7d805db59fef5
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2025-03-21T20:24:59.6548792Z deleted: sha256:d7976569ac4f931958721acabc120fe2cfdbc8673ef348c7c8110886822234a0
2025-03-21T20:24:59.6549689Z deleted: sha256:9006884ac58bd79a9522eda809d9360d21997a93e175d1d6b66b23dd64cc766e
2025-03-21T20:24:59.6550595Z deleted: sha256:934cb849abe06befc43afe3d1a738c8537ce109679f8556a7af52bfbf40438b2
2025-03-21T20:24:59.6551505Z deleted: sha256:824b004f2d714c62c347e3c1ea2ef132dd6cc9c2c8e2a33891027b3332970956
2025-03-21T20:24:59.6552410Z deleted: sha256:070a521224ad9aed21b31bdbffa143888d3a81eba63b08fd089618c6e5040186
2025-03-21T20:24:59.6553305Z deleted: sha256:59b223680ef978509f20faf6bf069866dfc02c422159347face0a7565d698526
2025-03-21T20:24:59.6553965Z 
2025-03-21T20:24:59.6554159Z Total reclaimed space: 5.848GB
2025-03-21T20:24:59.6599368Z ##[group]Run set +e
2025-03-21T20:24:59.6599817Z set +e
2025-03-21T20:24:59.6600195Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:24:59.6600772Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:24:59.6601314Z else
2025-03-21T20:24:59.6601715Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:24:59.6602193Z fi
2025-03-21T20:24:59.6602508Z set -e
2025-03-21T20:24:59.6610202Z shell: /usr/bin/bash -e {0}
2025-03-21T20:24:59.6610718Z env:
2025-03-21T20:24:59.6611123Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:24:59.6611666Z   REPOSITORY: pytorch/executorch
2025-03-21T20:24:59.6612068Z   PR_NUMBER: 
2025-03-21T20:24:59.6614504Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=emformer_transcribe
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}"

2025-03-21T20:24:59.6617204Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:24:59.6618281Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:24:59.6619053Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:24:59.6619613Z   NO_SUDO: false
2025-03-21T20:24:59.6619944Z ##[endgroup]
2025-03-21T20:25:01.3355568Z Post job cleanup.
2025-03-21T20:25:01.4793296Z Post job cleanup.
2025-03-21T20:25:01.6104612Z [command]/usr/bin/git version
2025-03-21T20:25:01.6165160Z git version 2.47.1
2025-03-21T20:25:01.6230483Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3f7e9281-c452-4c9a-9a3a-e423221039a3' before making global git config changes
2025-03-21T20:25:01.6231887Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:25:01.6239462Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:25:01.6289955Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:25:01.6351892Z [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' || :"
2025-03-21T20:25:01.6718374Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:25:01.6748596Z http.https://github.com/.extraheader
2025-03-21T20:25:01.6768069Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:25:01.6816812Z [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' || :"
2025-03-21T20:25:01.7296224Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:25:01.7330645Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:25:01.7337891Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:01.7338469Z ##[endgroup]
2025-03-21T20:25:01.7447670Z [!ALERT!] Swap in detected! [!ALERT!]
2025-03-21T20:25:17.4517924Z [!ALERT!] Swap out detected [!ALERT!]
2025-03-21T20:25:41.4331234Z Cleaning up orphan processes