2025-03-21T20:17:40.0852201Z Current runner version: '2.323.0'
2025-03-21T20:17:40.0859280Z Runner name: 'i-03539031f2ab4f168'
2025-03-21T20:17:40.0860251Z Runner group name: 'Default'
2025-03-21T20:17:40.0861319Z Machine name: 'ip-10-0-15-8'
2025-03-21T20:17:40.0864447Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:40.0866915Z Contents: read
2025-03-21T20:17:40.0867630Z Metadata: read
2025-03-21T20:17:40.0868253Z ##[endgroup]
2025-03-21T20:17:40.0871285Z Secret source: Actions
2025-03-21T20:17:40.0872169Z Prepare workflow directory
2025-03-21T20:17:40.4079246Z Prepare all required actions
2025-03-21T20:17:40.4121245Z Getting action download info
2025-03-21T20:17:40.6098584Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:40.8630816Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:17:53.5357030Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:17:53.8580897Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:17:54.0624612Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:17:54.4513678Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:17:54.6878374Z Getting action download info
2025-03-21T20:17:54.8288283Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:17:54.8290264Z ##[group] Inputs
2025-03-21T20:17:54.8293553Z   script: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:17:54.8297302Z   timeout: 900
2025-03-21T20:17:54.8297580Z   runner: linux.2xlarge
2025-03-21T20:17:54.8297854Z   upload-artifact: 
2025-03-21T20:17:54.8298430Z   upload-artifact-to-s3: false
2025-03-21T20:17:54.8298765Z   download-artifact: 
2025-03-21T20:17:54.8299043Z   repository: 
2025-03-21T20:17:54.8299324Z   fetch-depth: 1
2025-03-21T20:17:54.8299572Z   submodules: true
2025-03-21T20:17:54.8299888Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:17:54.8300303Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:17:54.8300667Z   test-infra-ref: 
2025-03-21T20:17:54.8300983Z   docker-image: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:17:54.8301457Z   docker-build-dir: .ci/docker
2025-03-21T20:17:54.8301773Z   gpu-arch-type: cpu
2025-03-21T20:17:54.8302048Z   gpu-arch-version: 
2025-03-21T20:17:54.8302320Z   job-name: linux-job
2025-03-21T20:17:54.8302602Z   continue-on-error: false
2025-03-21T20:17:54.8302889Z   binary-matrix: 
2025-03-21T20:17:54.8303154Z   run-with-docker: true
2025-03-21T20:17:54.8303431Z   secrets-env: 
2025-03-21T20:17:54.8303682Z   no-sudo: false
2025-03-21T20:17:54.8303974Z ##[endgroup]
2025-03-21T20:17:54.8304409Z Complete job name: test-llama-runner-qnn-linux (fp32, qnn_8a8w, qnn) / linux-job
2025-03-21T20:17:54.8724764Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:17:54.8825843Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:17:54.8834633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:17:54.8835561Z ##[endgroup]
2025-03-21T20:17:56.0122751Z Runner Type: linux.2xlarge
2025-03-21T20:17:56.0123181Z Instance Type: c5.2xlarge
2025-03-21T20:17:56.0123474Z AMI Name: unknown
2025-03-21T20:17:56.0148685Z AMI ID: ami-08b5b3a93ed654d19
2025-03-21T20:18:01.1610166Z ##[group]Run set -euxo pipefail
2025-03-21T20:18:01.1610592Z set -euxo pipefail
2025-03-21T20:18:01.1610930Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:18:01.1611353Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:18:01.1611773Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:01.1612108Z else
2025-03-21T20:18:01.1612412Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:18:01.1612806Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:01.1613138Z fi
2025-03-21T20:18:01.1613375Z 
2025-03-21T20:18:01.1613641Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:18:01.1613978Z echo "::endgroup::"
2025-03-21T20:18:01.1622949Z shell: /usr/bin/bash -e {0}
2025-03-21T20:18:01.1623269Z env:
2025-03-21T20:18:01.1623579Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:01.1623972Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:01.1624337Z   PR_NUMBER: 
2025-03-21T20:18:01.1627481Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:01.1630715Z   NO_SUDO: false
2025-03-21T20:18:01.1630976Z ##[endgroup]
2025-03-21T20:18:01.1657389Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:18:01.1671194Z ##[group]Cleanup with-sudo debug output
2025-03-21T20:18:01.1674295Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:18:01.1674824Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
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2025-03-21T20:18:01.4218876Z + echo ::endgroup::
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2025-03-21T20:18:01.4762066Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/failedjobs/[repoOwner]/[repoName]/[branch]/[[...page]].tsx'
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2025-03-21T20:18:01.4766464Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/failure.tsx'
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2025-03-21T20:18:01.4771955Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/kpis.tsx'
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2025-03-21T20:18:01.4773293Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/metrics.tsx'
2025-03-21T20:18:01.4774254Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/minihud/[repoOwner]/[repoName]/[branch]/[[...page]].tsx'
2025-03-21T20:18:01.4775401Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/minihud/[repoOwner]/[repoName]/[branch]'
2025-03-21T20:18:01.4776744Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/minihud/[repoOwner]/[repoName]'
2025-03-21T20:18:01.4777534Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/minihud/[repoOwner]'
2025-03-21T20:18:01.4778240Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/minihud'
2025-03-21T20:18:01.4778888Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/nightlies.tsx'
2025-03-21T20:18:01.4779685Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/query_execution_metrics.tsx'
2025-03-21T20:18:01.4780708Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/reliability/[repoOwner]/[repoName]/[[...page]].tsx'
2025-03-21T20:18:01.4781682Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/reliability/[repoOwner]/[repoName]'
2025-03-21T20:18:01.4782544Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/reliability/[repoOwner]'
2025-03-21T20:18:01.4783289Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/reliability'
2025-03-21T20:18:01.4783924Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/sli.tsx'
2025-03-21T20:18:01.4784621Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tests/search.tsx'
2025-03-21T20:18:01.4785318Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tests/testInfo.tsx'
2025-03-21T20:18:01.4786047Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tests'
2025-03-21T20:18:01.4786888Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/torchbench/userbenchmark.tsx'
2025-03-21T20:18:01.4787634Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/torchbench'
2025-03-21T20:18:01.4788592Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tts/[repoOwner]/[repoName]/[branch]/[[...page]].tsx'
2025-03-21T20:18:01.4789583Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tts/[repoOwner]/[repoName]/[branch]'
2025-03-21T20:18:01.4790437Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tts/[repoOwner]/[repoName]'
2025-03-21T20:18:01.4791268Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tts/[repoOwner]'
2025-03-21T20:18:01.4791972Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/tts'
2025-03-21T20:18:01.4793108Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/utilization/[workflowId]/[jobId]/[attempt]/[[...page]].tsx'
2025-03-21T20:18:01.4794140Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/utilization/[workflowId]/[jobId]/[attempt]'
2025-03-21T20:18:01.4795100Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/utilization/[workflowId]/[jobId]'
2025-03-21T20:18:01.4795988Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/utilization/[workflowId]'
2025-03-21T20:18:01.4796757Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages/utilization'
2025-03-21T20:18:01.4797614Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/pages'
2025-03-21T20:18:01.4798478Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/public/failures_spritesheet.png'
2025-03-21T20:18:01.4799160Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/public/favicon.ico'
2025-03-21T20:18:01.4799789Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/public'
2025-03-21T20:18:01.4800474Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/scripts/backfillJobs.mjs'
2025-03-21T20:18:01.4801194Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/scripts/updateQueueTimes.mjs'
2025-03-21T20:18:01.4801850Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/scripts'
2025-03-21T20:18:01.4802593Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/styles/MuiThemeOverrides.tsx'
2025-03-21T20:18:01.4803245Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/styles/globals.css'
2025-03-21T20:18:01.4803906Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/styles'
2025-03-21T20:18:01.4804606Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoCcBot.test.ts'
2025-03-21T20:18:01.4805348Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoLabelBot.test.ts'
2025-03-21T20:18:01.4806152Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoLabelCodevTrunk.test.ts'
2025-03-21T20:18:01.4807041Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts'
2025-03-21T20:18:01.4807849Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/ciflow-push-trigger.test.ts'
2025-03-21T20:18:01.4808634Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/closeCommands.test.ts'
2025-03-21T20:18:01.4809456Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/codevNoWritePermBot.test.ts'
2025-03-21T20:18:01.4810092Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/common.ts'
2025-03-21T20:18:01.4810868Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/disableFlakyBot.test.ts'
2025-03-21T20:18:01.4811523Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/drci.test.ts'
2025-03-21T20:18:01.4812233Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/drciBot.test.ts'
2025-03-21T20:18:01.4812962Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/drciUtils.test.ts'
2025-03-21T20:18:01.4813714Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/config.json'
2025-03-21T20:18:01.4814446Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/issue.json'
2025-03-21T20:18:01.4815271Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/issue_comment.json'
2025-03-21T20:18:01.4816110Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/issues.labeled.json'
2025-03-21T20:18:01.4816930Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/issues.opened.json'
2025-03-21T20:18:01.4817756Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/known_labels.json'
2025-03-21T20:18:01.4818562Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_files.json'
2025-03-21T20:18:01.4819619Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.closed.json'
2025-03-21T20:18:01.4820611Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.edited.json'
2025-03-21T20:18:01.4821608Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.labeled.json'
2025-03-21T20:18:01.4822487Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.opened.json'
2025-03-21T20:18:01.4823384Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.reopened.json'
2025-03-21T20:18:01.4824349Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request.synchronize.json'
2025-03-21T20:18:01.4825274Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request_comment.json'
2025-03-21T20:18:01.4826155Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request_review.json'
2025-03-21T20:18:01.4827154Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request_review_approved.json'
2025-03-21T20:18:01.4828072Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/pull_request_reviews.json'
2025-03-21T20:18:01.4829021Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/permission.json'
2025-03-21T20:18:01.4830063Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.closed.json'
2025-03-21T20:18:01.4831097Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
2025-03-21T20:18:01.4832177Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.synchronize.json'
2025-03-21T20:18:01.4833244Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.unlabeled.json'
2025-03-21T20:18:01.4834091Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
2025-03-21T20:18:01.4834833Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push.json'
2025-03-21T20:18:01.4835826Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/webhookToDynamoExpected.json.gz'
2025-03-21T20:18:01.4836715Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/workflow_job.queued.json'
2025-03-21T20:18:01.4837544Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/workflow_jobs.json'
2025-03-21T20:18:01.4838463Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/workflow_run.completed.json'
2025-03-21T20:18:01.4839221Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures'
2025-03-21T20:18:01.4839950Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/jobUtils.test.ts'
2025-03-21T20:18:01.4840762Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/labelCommands.test.ts'
2025-03-21T20:18:01.4841561Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
2025-03-21T20:18:01.4842325Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/metricUtils.test.ts'
2025-03-21T20:18:01.4843009Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/reporter.js'
2025-03-21T20:18:01.4843923Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/retryBot.test.ts'
2025-03-21T20:18:01.4844784Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:18:01.4845441Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:18:01.4846257Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:18:01.4847042Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:18:01.4847947Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:18:01.4848835Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:18:01.4849540Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
2025-03-21T20:18:01.4850189Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.ts'
2025-03-21T20:18:01.4851059Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2025-03-21T20:18:01.4851916Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/wehookToDynamoBot.test.ts'
2025-03-21T20:18:01.4852572Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:18:01.4853270Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
2025-03-21T20:18:01.4853982Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types/next-auth-d.ts'
2025-03-21T20:18:01.4854654Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:18:01.4855272Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:18:01.4855906Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:18:01.4856437Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:01.4856940Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:18:01.4857404Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:18:01.4858568Z ##[endgroup]
2025-03-21T20:18:01.4962969Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:01.4963094Z with:
2025-03-21T20:18:01.4963254Z   repository: pytorch/test-infra
2025-03-21T20:18:01.4963361Z   path: test-infra
2025-03-21T20:18:01.4963484Z   submodules: recursive
2025-03-21T20:18:01.4963739Z   token: ***
2025-03-21T20:18:01.4963844Z   ssh-strict: true
2025-03-21T20:18:01.4963958Z   ssh-user: git
2025-03-21T20:18:01.4964076Z   persist-credentials: true
2025-03-21T20:18:01.4964186Z   clean: true
2025-03-21T20:18:01.4964312Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:01.4964429Z   fetch-depth: 1
2025-03-21T20:18:01.4964532Z   fetch-tags: false
2025-03-21T20:18:01.4964638Z   show-progress: true
2025-03-21T20:18:01.4964748Z   lfs: false
2025-03-21T20:18:01.4964861Z   set-safe-directory: true
2025-03-21T20:18:01.4964992Z env:
2025-03-21T20:18:01.4965145Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:01.4965265Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:01.4965377Z   PR_NUMBER: 
2025-03-21T20:18:01.4968371Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:01.4968602Z ##[endgroup]
2025-03-21T20:18:01.6060633Z Syncing repository: pytorch/test-infra
2025-03-21T20:18:01.6061466Z ##[group]Getting Git version info
2025-03-21T20:18:01.6062044Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:01.6062786Z [command]/usr/bin/git version
2025-03-21T20:18:01.6063095Z git version 2.47.1
2025-03-21T20:18:01.6078435Z ##[endgroup]
2025-03-21T20:18:01.6089688Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ab43cf6e-606f-47c2-bf38-93550e22a943' before making global git config changes
2025-03-21T20:18:01.6090670Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:01.6094677Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:01.6128344Z ##[group]Initializing the repository
2025-03-21T20:18:01.6132852Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:01.6159318Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:01.6159943Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:01.6160518Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:01.6160990Z hint:
2025-03-21T20:18:01.6161308Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:01.6161692Z hint:
2025-03-21T20:18:01.6162044Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:01.6162617Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:01.6163078Z hint:
2025-03-21T20:18:01.6163330Z hint: 	git branch -m <name>
2025-03-21T20:18:01.6163927Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:18:01.6168605Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:18:01.6192537Z ##[endgroup]
2025-03-21T20:18:01.6193000Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:01.6197036Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:01.6219304Z ##[endgroup]
2025-03-21T20:18:01.6219737Z ##[group]Setting up auth
2025-03-21T20:18:01.6224880Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:01.6248650Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-03-21T20:18:01.6491673Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:01.6514311Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-03-21T20:18:01.6756948Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:01.6794762Z ##[endgroup]
2025-03-21T20:18:01.6795242Z ##[group]Determining the default branch
2025-03-21T20:18:01.6797915Z Retrieving the default branch name
2025-03-21T20:18:01.8631989Z Default branch 'main'
2025-03-21T20:18:01.8632737Z ##[endgroup]
2025-03-21T20:18:01.8633213Z ##[group]Fetching the repository
2025-03-21T20:18:01.8640827Z [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
2025-03-21T20:18:02.2314188Z From https://github.com/pytorch/test-infra
2025-03-21T20:18:02.2314842Z  * [new branch]      main       -> origin/main
2025-03-21T20:18:02.2336364Z ##[endgroup]
2025-03-21T20:18:02.2336811Z ##[group]Determining the checkout info
2025-03-21T20:18:02.2338082Z ##[endgroup]
2025-03-21T20:18:02.2342584Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:02.2372046Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:02.2395520Z ##[group]Checking out the ref
2025-03-21T20:18:02.2398882Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:18:02.3184403Z Switched to a new branch 'main'
2025-03-21T20:18:02.3186175Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:18:02.3192524Z ##[endgroup]
2025-03-21T20:18:02.3192976Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:02.3197303Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:02.3234899Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:02.3259484Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:02.3283933Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:02.3307047Z ##[endgroup]
2025-03-21T20:18:02.3307731Z ##[group]Fetching submodules
2025-03-21T20:18:02.3310386Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:18:02.3557618Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:18:02.3805942Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:18:02.4045621Z ##[endgroup]
2025-03-21T20:18:02.4046094Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:02.4050352Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-03-21T20:18:02.4291695Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-03-21T20:18:02.4532766Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:02.4773106Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:02.5007883Z ##[endgroup]
2025-03-21T20:18:02.5035650Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:02.5053564Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:02.5237894Z Prepare all required actions
2025-03-21T20:18:02.5238458Z Getting action download info
2025-03-21T20:18:02.6170389Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:03.9996540Z Getting action download info
2025-03-21T20:18:04.0878724Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:04.2407305Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:04.2407676Z env:
2025-03-21T20:18:04.2407964Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:04.2408352Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2408666Z   PR_NUMBER: 
2025-03-21T20:18:04.2411792Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:04.2415151Z ##[endgroup]
2025-03-21T20:18:04.2498923Z ##[group]Run set -euo pipefail
2025-03-21T20:18:04.2499280Z set -euo pipefail
2025-03-21T20:18:04.2499600Z function get_ec2_metadata() {
2025-03-21T20:18:04.2499988Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:04.2500676Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:04.2501347Z   category=$1
2025-03-21T20:18:04.2502247Z   curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-03-21T20:18:04.2503164Z }
2025-03-21T20:18:04.2503455Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:04.2503902Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:04.2504386Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:04.2504822Z echo "system info $(uname -a)"
2025-03-21T20:18:04.2510433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.2510829Z env:
2025-03-21T20:18:04.2511111Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:04.2511494Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2511801Z   PR_NUMBER: 
2025-03-21T20:18:04.2514900Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:04.2518028Z ##[endgroup]
2025-03-21T20:18:04.2670668Z ami-id: ami-08b5b3a93ed654d19
2025-03-21T20:18:04.2760900Z instance-id: i-03539031f2ab4f168
2025-03-21T20:18:04.2905688Z instance-type: c5.2xlarge
2025-03-21T20:18:04.2914989Z system info Linux ip-10-0-15-8.ec2.internal 6.1.129-138.220.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Feb 25 22:18:43 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-03-21T20:18:04.2950864Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:04.2951805Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:04.2957445Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.2957824Z env:
2025-03-21T20:18:04.2958107Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:04.2958499Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.2958803Z   PR_NUMBER: 
2025-03-21T20:18:04.2961865Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:04.2965133Z ##[endgroup]
2025-03-21T20:18:04.3051640Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:04.3052096Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:04.3052490Z     echo "Docker daemon is running...";
2025-03-21T20:18:04.3052824Z else
2025-03-21T20:18:04.3053197Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:04.3053625Z fi
2025-03-21T20:18:04.3058611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.3059000Z env:
2025-03-21T20:18:04.3059269Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:04.3059630Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.3059924Z   PR_NUMBER: 
2025-03-21T20:18:04.3063070Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:04.3066193Z ##[endgroup]
2025-03-21T20:18:04.3127841Z Docker daemon is running...
2025-03-21T20:18:04.3154846Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:04.3155486Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:04.3156005Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:04.3156613Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:04.3157341Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:04.3162731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:04.3163118Z env:
2025-03-21T20:18:04.3163385Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:04.3163755Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:04.3164038Z   PR_NUMBER: 
2025-03-21T20:18:04.3167113Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:04.3170296Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:04.3170574Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:04.3170856Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:04.3171140Z ##[endgroup]
2025-03-21T20:18:05.3098508Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:05.3099170Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:05.3099983Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:05.3100381Z 
2025-03-21T20:18:05.3100501Z Login Succeeded
2025-03-21T20:18:05.3146318Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.3146941Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.3147465Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:05.3153474Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.3153877Z env:
2025-03-21T20:18:05.3154165Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.3154546Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.3154855Z   PR_NUMBER: 
2025-03-21T20:18:05.3157906Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.3161053Z ##[endgroup]
2025-03-21T20:18:05.3239023Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:05.3239533Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:05.3239956Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:05.3240337Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:05.3240794Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.3241244Z 
2025-03-21T20:18:05.3241567Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:05.3242013Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:05.3242403Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:05.3242900Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.3243374Z 
2025-03-21T20:18:05.3243781Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:05.3244159Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:05.3244511Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:05.3244935Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:05.3250413Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.3250798Z env:
2025-03-21T20:18:05.3251079Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.3251456Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.3251759Z   PR_NUMBER: 
2025-03-21T20:18:05.3254809Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.3258049Z ##[endgroup]
2025-03-21T20:18:05.7974469Z ##[group]Run needs=0
2025-03-21T20:18:05.7974775Z needs=0
2025-03-21T20:18:05.7975160Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:05.7975869Z   needs=1
2025-03-21T20:18:05.7976131Z fi
2025-03-21T20:18:05.7976412Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:05.7982195Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.7982617Z env:
2025-03-21T20:18:05.7982902Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.7983288Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.7983595Z   PR_NUMBER: 
2025-03-21T20:18:05.7986648Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.7989911Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.7990521Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.7991091Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.7991501Z ##[endgroup]
2025-03-21T20:18:05.8186632Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:05.8187236Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:05.8187691Z # shellcheck disable=SC2046
2025-03-21T20:18:05.8188039Z docker stop $(docker ps -q) || true
2025-03-21T20:18:05.8188411Z # Prune all of the docker images
2025-03-21T20:18:05.8188764Z docker system prune -af
2025-03-21T20:18:05.8194025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.8194428Z env:
2025-03-21T20:18:05.8194720Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.8195278Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.8195592Z   PR_NUMBER: 
2025-03-21T20:18:05.8198667Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.8202044Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.8202654Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.8203227Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.8203640Z ##[endgroup]
2025-03-21T20:18:05.8435830Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:05.8436327Z See 'docker stop --help'.
2025-03-21T20:18:05.8436512Z 
2025-03-21T20:18:05.8436683Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:05.8436975Z 
2025-03-21T20:18:05.8437097Z Stop one or more running containers
2025-03-21T20:18:05.8575174Z Total reclaimed space: 0B
2025-03-21T20:18:05.8645535Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:05.8645924Z with:
2025-03-21T20:18:05.8646357Z   github-secret: ***
2025-03-21T20:18:05.8647073Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:05.8647864Z   activate-with-label: false
2025-03-21T20:18:05.8648176Z   label: with-ssh
2025-03-21T20:18:05.8648445Z   remove-existing-keys: true
2025-03-21T20:18:05.8648747Z   fail-silently: true
2025-03-21T20:18:05.8648997Z env:
2025-03-21T20:18:05.8649275Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.8649663Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.8649972Z   PR_NUMBER: 
2025-03-21T20:18:05.8653104Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.8656380Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.8656992Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.8657564Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.8657963Z ##[endgroup]
2025-03-21T20:18:05.9690404Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:05.9692357Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:05.9803541Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:05.9803881Z with:
2025-03-21T20:18:05.9804126Z   repository: pytorch/executorch
2025-03-21T20:18:05.9804474Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:05.9804836Z   path: pytorch/executorch
2025-03-21T20:18:05.9805123Z   fetch-depth: 1
2025-03-21T20:18:05.9805377Z   submodules: true
2025-03-21T20:18:05.9805775Z   token: ***
2025-03-21T20:18:05.9806025Z   ssh-strict: true
2025-03-21T20:18:05.9806281Z   ssh-user: git
2025-03-21T20:18:05.9806547Z   persist-credentials: true
2025-03-21T20:18:05.9806844Z   clean: true
2025-03-21T20:18:05.9807102Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:05.9807422Z   fetch-tags: false
2025-03-21T20:18:05.9807683Z   show-progress: true
2025-03-21T20:18:05.9807946Z   lfs: false
2025-03-21T20:18:05.9808195Z   set-safe-directory: true
2025-03-21T20:18:05.9808458Z env:
2025-03-21T20:18:05.9808731Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.9809151Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:05.9809456Z   PR_NUMBER: 
2025-03-21T20:18:05.9812684Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:05.9815963Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:05.9816569Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:05.9817141Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:05.9817535Z ##[endgroup]
2025-03-21T20:18:06.0739934Z Syncing repository: pytorch/executorch
2025-03-21T20:18:06.0746991Z ##[group]Getting Git version info
2025-03-21T20:18:06.0748114Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:06.0774344Z [command]/usr/bin/git version
2025-03-21T20:18:06.0807345Z git version 2.47.1
2025-03-21T20:18:06.0832017Z ##[endgroup]
2025-03-21T20:18:06.0844248Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bc1e3ece-a669-4761-922e-25f3751be1ee' before making global git config changes
2025-03-21T20:18:06.0846139Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:06.0850941Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:06.0877666Z ##[group]Initializing the repository
2025-03-21T20:18:06.0882810Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:06.0910610Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:06.0912158Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:06.0913545Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:06.0914543Z hint:
2025-03-21T20:18:06.0915254Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:06.0915991Z hint:
2025-03-21T20:18:06.0916821Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:06.0918013Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:06.0919010Z hint:
2025-03-21T20:18:06.0919783Z hint: 	git branch -m <name>
2025-03-21T20:18:06.0920932Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:06.0923227Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:06.0948052Z ##[endgroup]
2025-03-21T20:18:06.0949062Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:06.0952943Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:06.0976349Z ##[endgroup]
2025-03-21T20:18:06.0977226Z ##[group]Setting up auth
2025-03-21T20:18:06.0982680Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:06.1006760Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-03-21T20:18:06.1250632Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:06.1272804Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-03-21T20:18:06.1517916Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:06.1554259Z ##[endgroup]
2025-03-21T20:18:06.1560911Z ##[group]Fetching the repository
2025-03-21T20:18:06.1561746Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:07.6262961Z From https://github.com/pytorch/executorch
2025-03-21T20:18:07.6263509Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:07.6292585Z ##[endgroup]
2025-03-21T20:18:07.6293135Z ##[group]Determining the checkout info
2025-03-21T20:18:07.6295208Z ##[endgroup]
2025-03-21T20:18:07.6299844Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:07.6331127Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:07.6353279Z ##[group]Checking out the ref
2025-03-21T20:18:07.6356392Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:08.0884992Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:08.0885353Z 
2025-03-21T20:18:08.0885590Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:08.0886160Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:08.0886732Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:08.0887061Z 
2025-03-21T20:18:08.0887291Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:08.0887822Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:08.0888118Z 
2025-03-21T20:18:08.0888287Z   git switch -c <new-branch-name>
2025-03-21T20:18:08.0888508Z 
2025-03-21T20:18:08.0888625Z Or undo this operation with:
2025-03-21T20:18:08.0888829Z 
2025-03-21T20:18:08.0888933Z   git switch -
2025-03-21T20:18:08.0889088Z 
2025-03-21T20:18:08.0889333Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:08.0889697Z 
2025-03-21T20:18:08.0889870Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:08.0921646Z ##[endgroup]
2025-03-21T20:18:08.0922109Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:08.0927280Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:08.0966156Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:08.0989196Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:08.1013665Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:08.1033355Z ##[endgroup]
2025-03-21T20:18:08.1033778Z ##[group]Fetching submodules
2025-03-21T20:18:08.1036591Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:08.1286746Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:08.1528015Z 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'
2025-03-21T20:18:08.1530102Z 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'
2025-03-21T20:18:08.1532742Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:08.1535732Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:08.1539270Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:08.1542127Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:08.1545335Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:08.1548814Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:08.1552586Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:08.1556039Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:08.1559645Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:08.1563141Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:08.1566936Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:08.1570657Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:08.1574538Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:08.1580895Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:08.1586469Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:08.1590619Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:08.1594927Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:08.1599226Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:08.1603634Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:08.1608206Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:08.1612939Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:08.1637405Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:08.3933481Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:08.5894107Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:08.8461482Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:09.2387832Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:09.4986420Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:09.6946242Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:09.8697868Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:10.0353555Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:10.6623827Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:11.0085991Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:11.1861545Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:11.4506240Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:12.1516130Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:12.3667103Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:12.6740876Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:12.9668724Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:13.1762171Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:13.7027404Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:13.9510538Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:14.1592533Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:14.3686848Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:14.7566554Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:15.4169635Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:15.4170246Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:15.4278791Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:15.8959929Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:15.8961227Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:15.9065365Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:15.9156733Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:16.5866361Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:16.5866939Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:16.6349266Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:17.2136360Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:17.2137005Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:17.2441056Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:17.6887325Z From https://github.com/zeux/volk
2025-03-21T20:18:17.6888112Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:17.6960455Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:18.0843923Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:18.0844465Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:18.0931037Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:18.4749007Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:18.4749524Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:18.4807309Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:20.0055246Z From https://github.com/google/XNNPACK
2025-03-21T20:18:20.0055806Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:20.5870575Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:21.0385246Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:21.0385970Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:21.1208308Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:21.5139951Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:21.5140572Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:21.5224006Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:21.9481932Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:21.9482524Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:21.9722062Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:23.5946810Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:23.5947339Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:23.7168478Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:23.7334839Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:24.2401236Z From https://github.com/pytorch/ao
2025-03-21T20:18:24.2402093Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:24.3059123Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:24.9725972Z From https://github.com/google/flatbuffers
2025-03-21T20:18:24.9726728Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:25.0729582Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:25.5127414Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:25.5127939Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:25.5371448Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:25.9692775Z From https://github.com/gflags/gflags
2025-03-21T20:18:25.9693318Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:25.9778601Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:26.5496366Z From https://github.com/google/googletest
2025-03-21T20:18:26.5834585Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:26.5835313Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:27.0025097Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:27.0025817Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:27.0096199Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:27.0163997Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:27.6340771Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:27.6341361Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:27.7079869Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:28.2442668Z From https://github.com/pybind/pybind11
2025-03-21T20:18:28.2443600Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:28.2705171Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:28.2720101Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:28.2968959Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.2993316Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.3017000Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.3041040Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.3064686Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.3088340Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.3112343Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.3135690Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.3159098Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.3183185Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.3206322Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.3229707Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.3252887Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.3276219Z Entering 'shim'
2025-03-21T20:18:28.3299411Z Entering 'third-party/ao'
2025-03-21T20:18:28.3322318Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.3345387Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.3368224Z Entering 'third-party/gflags'
2025-03-21T20:18:28.3391520Z Entering 'third-party/googletest'
2025-03-21T20:18:28.3414521Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.3437565Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.3460667Z Entering 'third-party/prelude'
2025-03-21T20:18:28.3483899Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.3514457Z ##[endgroup]
2025-03-21T20:18:28.3514913Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:28.3520905Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-03-21T20:18:28.3762282Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.3810923Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.3858373Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.3906193Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.3953494Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.4001915Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.4049718Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.4097939Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.4145908Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.4209856Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.4258516Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.4309054Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.4357131Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.4407070Z Entering 'shim'
2025-03-21T20:18:28.4454861Z Entering 'third-party/ao'
2025-03-21T20:18:28.4504236Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.4553856Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.4602362Z Entering 'third-party/gflags'
2025-03-21T20:18:28.4649410Z Entering 'third-party/googletest'
2025-03-21T20:18:28.4697816Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.4745308Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.4792809Z Entering 'third-party/prelude'
2025-03-21T20:18:28.4841284Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.4901101Z [command]/usr/bin/git submodule foreach sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-03-21T20:18:28.5147762Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.5193978Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/config	remote.origin.url
2025-03-21T20:18:28.5195190Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.5240433Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:28.5241565Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.5288281Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:28.5289580Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.5336845Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:28.5338648Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.5385607Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:28.5387420Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.5432459Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:28.5434255Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.5481496Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:28.5483267Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.5529365Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:28.5531109Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.5577870Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:28.5579689Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.5624489Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:28.5626296Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.5672478Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:28.5674254Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.5719668Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:28.5721392Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.5768060Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:28.5769933Z Entering 'shim'
2025-03-21T20:18:28.5815316Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:28.5816917Z Entering 'third-party/ao'
2025-03-21T20:18:28.5862172Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:28.5863396Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.5909081Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:28.5910225Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.5955951Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:28.5957215Z Entering 'third-party/gflags'
2025-03-21T20:18:28.6002748Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:28.6004168Z Entering 'third-party/googletest'
2025-03-21T20:18:28.6049713Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:28.6051331Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.6098223Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:28.6099935Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.6145817Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:28.6147473Z Entering 'third-party/prelude'
2025-03-21T20:18:28.6194340Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:28.6195904Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.6240961Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:28.6400169Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:28.6645475Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.6669334Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.6693307Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.6717430Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.6740853Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.6764430Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.6788129Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.6811393Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.6834942Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.6858309Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.6882832Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.6906403Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.6929538Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.6952844Z Entering 'shim'
2025-03-21T20:18:28.6976191Z Entering 'third-party/ao'
2025-03-21T20:18:28.7001144Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.7024844Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.7047933Z Entering 'third-party/gflags'
2025-03-21T20:18:28.7071235Z Entering 'third-party/googletest'
2025-03-21T20:18:28.7094468Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.7118022Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.7141361Z Entering 'third-party/prelude'
2025-03-21T20:18:28.7164682Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.7198848Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:28.7442424Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.7465712Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.7490529Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.7514866Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.7538668Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.7563905Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.7589312Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.7613535Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.7638413Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.7662170Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.7686111Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.7709898Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.7733447Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.7756842Z Entering 'shim'
2025-03-21T20:18:28.7781194Z Entering 'third-party/ao'
2025-03-21T20:18:28.7806268Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.7829555Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.7852675Z Entering 'third-party/gflags'
2025-03-21T20:18:28.7876260Z Entering 'third-party/googletest'
2025-03-21T20:18:28.7899461Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.7922751Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.7946425Z Entering 'third-party/prelude'
2025-03-21T20:18:28.7969768Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.8002815Z ##[endgroup]
2025-03-21T20:18:28.8032674Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:28.8050478Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:28.8241724Z Prepare all required actions
2025-03-21T20:18:28.8242263Z Getting action download info
2025-03-21T20:18:28.9219538Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:29.0921226Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:29.0921654Z with:
2025-03-21T20:18:29.0921962Z   docker-image-name: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:29.0922368Z   docker-build-dir: .ci/docker
2025-03-21T20:18:29.0922692Z   working-directory: pytorch/executorch
2025-03-21T20:18:29.0923127Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.0923548Z   force-push: false
2025-03-21T20:18:29.0923807Z env:
2025-03-21T20:18:29.0924084Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:29.0924446Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.0924752Z   PR_NUMBER: 
2025-03-21T20:18:29.0927979Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:29.0931259Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.0931868Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.0932442Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.0932855Z ##[endgroup]
2025-03-21T20:18:29.0955502Z ##[group]Run set -ex
2025-03-21T20:18:29.0955829Z set -ex
2025-03-21T20:18:29.0956078Z 
2025-03-21T20:18:29.0956494Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:29.0957176Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:29.0957762Z # job could then download the pre-built image as usual
2025-03-21T20:18:29.0958291Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:29.0958768Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0959232Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0959658Z 
2025-03-21T20:18:29.0960037Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:29.0960491Z   exit 0
2025-03-21T20:18:29.0960732Z else
2025-03-21T20:18:29.0961016Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0961361Z fi
2025-03-21T20:18:29.0961594Z 
2025-03-21T20:18:29.0961948Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:29.0962563Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:29.0963102Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:29.0963598Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:29.0964128Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0964635Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0965073Z else
2025-03-21T20:18:29.0965545Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:29.0966034Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0966699Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.0967281Z fi
2025-03-21T20:18:29.0972821Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:29.0973222Z env:
2025-03-21T20:18:29.0973493Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:29.0973882Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.0974191Z   PR_NUMBER: 
2025-03-21T20:18:29.0977510Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:29.0980799Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.0981478Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.0982047Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.0982476Z   REPO_NAME: executorch
2025-03-21T20:18:29.0982814Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:29.0983199Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:29.0983581Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.0983990Z ##[endgroup]
2025-03-21T20:18:29.1006854Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:29.1007154Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:29.1007457Z + echo skip=false
2025-03-21T20:18:29.1008010Z + [[ executorch-ubuntu-22.04-qnn-sdk == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\e\x\e\c\u\t\o\r\c\h* ]]
2025-03-21T20:18:29.1010836Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:29.1025400Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.1025902Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.1026739Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.1068979Z ##[group]Run set +e
2025-03-21T20:18:29.1069337Z set +e
2025-03-21T20:18:29.1069592Z set -x
2025-03-21T20:18:29.1069826Z 
2025-03-21T20:18:29.1070082Z login() {
2025-03-21T20:18:29.1070582Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:29.1071132Z }
2025-03-21T20:18:29.1071361Z 
2025-03-21T20:18:29.1071582Z retry () {
2025-03-21T20:18:29.1071871Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:29.1072206Z }
2025-03-21T20:18:29.1072435Z 
2025-03-21T20:18:29.1072690Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:29.1073005Z 
2025-03-21T20:18:29.1073245Z START_TIME=$(date +%s)
2025-03-21T20:18:29.1073560Z # Wait up to 120 minutes
2025-03-21T20:18:29.1073944Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:29.1074459Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:29.1074970Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:29.1075475Z     exit 0
2025-03-21T20:18:29.1075960Z   fi
2025-03-21T20:18:29.1076214Z 
2025-03-21T20:18:29.1076623Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:29.1077301Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:29.1077977Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:29.1078500Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:29.1078923Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:29.1079292Z     break
2025-03-21T20:18:29.1079546Z   else
2025-03-21T20:18:29.1079907Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:29.1080329Z     sleep 300
2025-03-21T20:18:29.1080597Z   fi
2025-03-21T20:18:29.1080841Z done
2025-03-21T20:18:29.1081077Z 
2025-03-21T20:18:29.1081450Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:29.1082039Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:29.1082559Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:29.1083030Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:29.1083454Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:29.1083793Z else
2025-03-21T20:18:29.1084139Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:29.1084617Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:29.1084997Z fi
2025-03-21T20:18:29.1085231Z 
2025-03-21T20:18:29.1085482Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:29.1085863Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.1086217Z 
2025-03-21T20:18:29.1086686Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:29.1087367Z   exit 0
2025-03-21T20:18:29.1087616Z fi
2025-03-21T20:18:29.1087851Z 
2025-03-21T20:18:29.1088177Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:29.1088868Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:29.1089472Z   exit 1
2025-03-21T20:18:29.1089717Z fi
2025-03-21T20:18:29.1089947Z 
2025-03-21T20:18:29.1090327Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:29.1091000Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:29.1091601Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:29.1092294Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:29.1093077Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:29.1093554Z fi
2025-03-21T20:18:29.1093787Z 
2025-03-21T20:18:29.1094068Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.1099256Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:29.1099657Z env:
2025-03-21T20:18:29.1100327Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.1101095Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.1101490Z   PR_NUMBER: 
2025-03-21T20:18:29.1104654Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:29.1107944Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.1108554Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.1109130Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.1109555Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:29.1109912Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:29.1110357Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.1110828Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.1111237Z   DOCKER_PUSH: 
2025-03-21T20:18:29.1111492Z ##[endgroup]
2025-03-21T20:18:29.1132798Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.1133473Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.1135462Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:29.1136754Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.6005220Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:29.6005856Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:29.6006529Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:29.6007223Z 
2025-03-21T20:18:29.6007395Z Login Succeeded
2025-03-21T20:18:29.6022885Z ++ date +%s
2025-03-21T20:18:29.6031450Z + START_TIME=1742588309
2025-03-21T20:18:29.6035057Z ++ date +%s
2025-03-21T20:18:29.6042638Z + [[ 1742581109 -lt 1742588309 ]]
2025-03-21T20:18:29.6043831Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.8232883Z {
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2025-03-21T20:18:29.8251625Z 		},
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2025-03-21T20:18:29.8261295Z 		},
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2025-03-21T20:18:29.8262323Z + exit 0
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2025-03-21T20:18:29.8263481Z 		},
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2025-03-21T20:18:29.8300758Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:29.8301274Z 			"size": 165,
2025-03-21T20:18:29.8301704Z 			"digest": "sha256:3d39d3c3833d0b35f99be7ef483e33856321f4f469a7fe9d58612f96caf7ab8c"
2025-03-21T20:18:29.8302194Z 		},
2025-03-21T20:18:29.8302400Z 		{
2025-03-21T20:18:29.8302814Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:29.8303246Z 			"size": 1111,
2025-03-21T20:18:29.8303673Z 			"digest": "sha256:040f4b25fe47bc8918c851025cce90e70d8c7182f8e6bbc984aee16c30b5bd3a"
2025-03-21T20:18:29.8304162Z 		},
2025-03-21T20:18:29.8304368Z 		{
2025-03-21T20:18:29.8304710Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:29.8305259Z 			"size": 32,
2025-03-21T20:18:29.8305700Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:29.8306200Z 		},
2025-03-21T20:18:29.8306404Z 		{
2025-03-21T20:18:29.8306755Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:29.8307192Z 			"size": 108,
2025-03-21T20:18:29.8307622Z 			"digest": "sha256:2ce202d93f2e5871bc44522f1b7c6aab9bf20560c95bd2e9482dbde946b83ff7"
2025-03-21T20:18:29.8308118Z 		}
2025-03-21T20:18:29.8308324Z 	]
2025-03-21T20:18:29.8308544Z }
2025-03-21T20:18:29.8338458Z ##[group]Run set -eux
2025-03-21T20:18:29.8338772Z set -eux
2025-03-21T20:18:29.8339691Z 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
2025-03-21T20:18:29.8346136Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:29.8346545Z env:
2025-03-21T20:18:29.8346831Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:29.8347216Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.8347522Z   PR_NUMBER: 
2025-03-21T20:18:29.8350703Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:29.8354003Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.8354617Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.8355194Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.8355611Z ##[endgroup]
2025-03-21T20:18:29.8383693Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:29.8384507Z + jq --raw-output .SecretString
2025-03-21T20:18:29.8385340Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:29.8387096Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:30.4039433Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:30.4040064Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:30.4040748Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:30.4041345Z 
2025-03-21T20:18:30.4041481Z Login Succeeded
2025-03-21T20:18:30.4123323Z Prepare all required actions
2025-03-21T20:18:30.4156554Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:30.4156954Z with:
2025-03-21T20:18:30.4157631Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:30.4158484Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.4158881Z env:
2025-03-21T20:18:30.4159156Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:30.4159534Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:30.4159843Z   PR_NUMBER: 
2025-03-21T20:18:30.4162958Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:30.4166385Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:30.4166992Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:30.4167562Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:30.4167964Z ##[endgroup]
2025-03-21T20:18:30.4186553Z ##[group]Run set -x
2025-03-21T20:18:30.4186857Z set -x
2025-03-21T20:18:30.4187124Z set +e
2025-03-21T20:18:30.4187376Z 
2025-03-21T20:18:30.4187597Z login() {
2025-03-21T20:18:30.4188090Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:30.4188629Z }
2025-03-21T20:18:30.4188861Z 
2025-03-21T20:18:30.4189091Z retry () {
2025-03-21T20:18:30.4189369Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:30.4189706Z }
2025-03-21T20:18:30.4189933Z 
2025-03-21T20:18:30.4190188Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:30.4190515Z 
2025-03-21T20:18:30.4190730Z set -e
2025-03-21T20:18:30.4191088Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:30.4191594Z # only pull docker image if it's not available locally
2025-03-21T20:18:30.4192152Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:30.4192680Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:30.4193019Z fi
2025-03-21T20:18:30.4199103Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:30.4199508Z env:
2025-03-21T20:18:30.4200170Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:30.4200939Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:30.4201243Z   PR_NUMBER: 
2025-03-21T20:18:30.4204459Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:18:30.4207742Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:30.4208349Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:30.4208917Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:30.4209424Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.4209820Z ##[endgroup]
2025-03-21T20:18:30.4233281Z + set +e
2025-03-21T20:18:30.4234242Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.4235163Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.4237300Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:30.4238926Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.9052891Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:30.9053877Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:30.9054725Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:30.9055140Z 
2025-03-21T20:18:30.9055266Z Login Succeeded
2025-03-21T20:18:30.9065539Z + set -e
2025-03-21T20:18:30.9066474Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:30.9166131Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:30.9167383Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.1159052Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:31.1166588Z 8f84a9f2102e: Pulling fs layer
2025-03-21T20:18:31.1167171Z 86e413e13063: Pulling fs layer
2025-03-21T20:18:31.1167618Z 56848936f031: Pulling fs layer
2025-03-21T20:18:31.1168052Z 261c0f487ad0: Pulling fs layer
2025-03-21T20:18:31.1168524Z a3f0567f83ae: Pulling fs layer
2025-03-21T20:18:31.1168991Z a0c2fdb93dec: Pulling fs layer
2025-03-21T20:18:31.1169465Z 4e0f8d4747da: Pulling fs layer
2025-03-21T20:18:31.1169921Z 5a102502de33: Pulling fs layer
2025-03-21T20:18:31.1170389Z 5d24dc753f04: Pulling fs layer
2025-03-21T20:18:31.1170779Z 85f4a172d5b6: Pulling fs layer
2025-03-21T20:18:31.1171091Z bb9ad7d84f6e: Pulling fs layer
2025-03-21T20:18:31.1171396Z a3f0567f83ae: Waiting
2025-03-21T20:18:31.1171657Z 5120711d46e3: Pulling fs layer
2025-03-21T20:18:31.1171998Z 2d4cecada8b4: Pulling fs layer
2025-03-21T20:18:31.1172397Z a0c2fdb93dec: Waiting
2025-03-21T20:18:31.1172710Z e1fd02ccae09: Pulling fs layer
2025-03-21T20:18:31.1173021Z 508bc8ee650d: Pulling fs layer
2025-03-21T20:18:31.1173343Z 261c0f487ad0: Waiting
2025-03-21T20:18:31.1173605Z 4e0f8d4747da: Waiting
2025-03-21T20:18:31.1173928Z 6ff1ffcc6d84: Pulling fs layer
2025-03-21T20:18:31.1174224Z 5a102502de33: Waiting
2025-03-21T20:18:31.1174482Z 5d24dc753f04: Waiting
2025-03-21T20:18:31.1174740Z 6a063300ab4b: Pulling fs layer
2025-03-21T20:18:31.1175208Z 85f4a172d5b6: Waiting
2025-03-21T20:18:31.1175487Z fb7c06bc00e5: Pulling fs layer
2025-03-21T20:18:31.1175989Z bb9ad7d84f6e: Waiting
2025-03-21T20:18:31.1176263Z 2d4cecada8b4: Waiting
2025-03-21T20:18:31.1176512Z 5120711d46e3: Waiting
2025-03-21T20:18:31.1176785Z eda4db11af8f: Pulling fs layer
2025-03-21T20:18:31.1177086Z e1fd02ccae09: Waiting
2025-03-21T20:18:31.1177466Z 6a063300ab4b: Waiting
2025-03-21T20:18:31.1177874Z 3cfbc5ff2ac0: Pulling fs layer
2025-03-21T20:18:31.1178420Z 508bc8ee650d: Waiting
2025-03-21T20:18:31.1179158Z 59fe3e940463: Pulling fs layer
2025-03-21T20:18:31.1179513Z 6ff1ffcc6d84: Waiting
2025-03-21T20:18:31.1179786Z fb7c06bc00e5: Waiting
2025-03-21T20:18:31.1180077Z 50754bc025fc: Pulling fs layer
2025-03-21T20:18:31.1180377Z 3cfbc5ff2ac0: Waiting
2025-03-21T20:18:31.1180658Z db5c552aa08b: Pulling fs layer
2025-03-21T20:18:31.1180959Z eda4db11af8f: Waiting
2025-03-21T20:18:31.1181325Z 59fe3e940463: Waiting
2025-03-21T20:18:31.1181577Z db5c552aa08b: Waiting
2025-03-21T20:18:31.1181855Z 706d7d7c1227: Pulling fs layer
2025-03-21T20:18:31.1182150Z 50754bc025fc: Waiting
2025-03-21T20:18:31.1182427Z 32a4dbb2ef2f: Pulling fs layer
2025-03-21T20:18:31.1182748Z 706d7d7c1227: Waiting
2025-03-21T20:18:31.1183025Z 242848c50d1a: Pulling fs layer
2025-03-21T20:18:31.1183315Z 32a4dbb2ef2f: Waiting
2025-03-21T20:18:31.1183586Z 77ba92adb139: Pulling fs layer
2025-03-21T20:18:31.1183895Z 242848c50d1a: Waiting
2025-03-21T20:18:31.1184165Z 3c65b9b0c077: Pulling fs layer
2025-03-21T20:18:31.1184578Z 77ba92adb139: Waiting
2025-03-21T20:18:31.1184865Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:31.1185170Z 3d39d3c3833d: Pulling fs layer
2025-03-21T20:18:31.1185480Z 040f4b25fe47: Pulling fs layer
2025-03-21T20:18:31.1185782Z 2ce202d93f2e: Pulling fs layer
2025-03-21T20:18:31.1186061Z 3d39d3c3833d: Waiting
2025-03-21T20:18:31.1186318Z 040f4b25fe47: Waiting
2025-03-21T20:18:31.1186629Z 2ce202d93f2e: Waiting
2025-03-21T20:18:31.2117176Z 86e413e13063: Verifying Checksum
2025-03-21T20:18:31.2117699Z 86e413e13063: Download complete
2025-03-21T20:18:31.2918624Z 261c0f487ad0: Verifying Checksum
2025-03-21T20:18:31.2919164Z 261c0f487ad0: Download complete
2025-03-21T20:18:31.5408945Z a3f0567f83ae: Verifying Checksum
2025-03-21T20:18:31.5717016Z a3f0567f83ae: Download complete
2025-03-21T20:18:31.5717391Z 8f84a9f2102e: Verifying Checksum
2025-03-21T20:18:31.5717696Z 8f84a9f2102e: Download complete
2025-03-21T20:18:31.6556720Z a0c2fdb93dec: Verifying Checksum
2025-03-21T20:18:31.6557652Z a0c2fdb93dec: Download complete
2025-03-21T20:18:31.7570501Z 5a102502de33: Verifying Checksum
2025-03-21T20:18:31.7571146Z 5a102502de33: Download complete
2025-03-21T20:18:31.8343383Z 5d24dc753f04: Download complete
2025-03-21T20:18:31.9134608Z 85f4a172d5b6: Verifying Checksum
2025-03-21T20:18:31.9135255Z 85f4a172d5b6: Download complete
2025-03-21T20:18:32.3020620Z bb9ad7d84f6e: Verifying Checksum
2025-03-21T20:18:32.3021242Z bb9ad7d84f6e: Download complete
2025-03-21T20:18:32.3792750Z 5120711d46e3: Verifying Checksum
2025-03-21T20:18:32.3793203Z 5120711d46e3: Download complete
2025-03-21T20:18:32.4838688Z 8f84a9f2102e: Pull complete
2025-03-21T20:18:32.4943437Z 86e413e13063: Pull complete
2025-03-21T20:18:32.7584537Z 56848936f031: Verifying Checksum
2025-03-21T20:18:32.7599230Z 56848936f031: Download complete
2025-03-21T20:18:32.8495380Z e1fd02ccae09: Download complete
2025-03-21T20:18:32.9253443Z 508bc8ee650d: Verifying Checksum
2025-03-21T20:18:32.9254007Z 508bc8ee650d: Download complete
2025-03-21T20:18:32.9441467Z 4e0f8d4747da: Verifying Checksum
2025-03-21T20:18:32.9441869Z 4e0f8d4747da: Download complete
2025-03-21T20:18:33.0055695Z 6ff1ffcc6d84: Verifying Checksum
2025-03-21T20:18:33.0056315Z 6ff1ffcc6d84: Download complete
2025-03-21T20:18:33.1003883Z fb7c06bc00e5: Verifying Checksum
2025-03-21T20:18:33.1004480Z fb7c06bc00e5: Download complete
2025-03-21T20:18:33.1744796Z eda4db11af8f: Download complete
2025-03-21T20:18:33.3795176Z 3cfbc5ff2ac0: Verifying Checksum
2025-03-21T20:18:33.3795647Z 3cfbc5ff2ac0: Download complete
2025-03-21T20:18:33.4826216Z 59fe3e940463: Verifying Checksum
2025-03-21T20:18:33.4826810Z 59fe3e940463: Download complete
2025-03-21T20:18:33.7721932Z 6a063300ab4b: Verifying Checksum
2025-03-21T20:18:33.7722538Z 6a063300ab4b: Download complete
2025-03-21T20:18:33.8439314Z db5c552aa08b: Verifying Checksum
2025-03-21T20:18:33.8439874Z db5c552aa08b: Download complete
2025-03-21T20:18:34.9501917Z 2d4cecada8b4: Verifying Checksum
2025-03-21T20:18:34.9502498Z 2d4cecada8b4: Download complete
2025-03-21T20:18:35.0459498Z 32a4dbb2ef2f: Verifying Checksum
2025-03-21T20:18:35.0460086Z 32a4dbb2ef2f: Download complete
2025-03-21T20:18:36.2310726Z 706d7d7c1227: Download complete
2025-03-21T20:18:36.3022712Z 77ba92adb139: Verifying Checksum
2025-03-21T20:18:36.3023273Z 77ba92adb139: Download complete
2025-03-21T20:18:36.3982042Z 3c65b9b0c077: Verifying Checksum
2025-03-21T20:18:36.3982656Z 3c65b9b0c077: Download complete
2025-03-21T20:18:36.4053934Z 4f4fb700ef54: Verifying Checksum
2025-03-21T20:18:36.4054550Z 4f4fb700ef54: Download complete
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2025-03-21T20:21:08.1874481Z Digest: sha256:d38559c98aeb82552e009bbb7b17d76adfa19c8f3fb874ea99a5e76d87757f76
2025-03-21T20:21:08.2034532Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:08.2131861Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:08.2284123Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:08.2285161Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:08.2294000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:21:08.2294405Z env:
2025-03-21T20:21:08.2294695Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:21:08.2295077Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:08.2295386Z   PR_NUMBER: 
2025-03-21T20:21:08.2298493Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:21:08.2301892Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:08.2302496Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:08.2303064Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:08.2303656Z ##[endgroup]
2025-03-21T20:21:08.2495872Z ##[group]Run set -ex
2025-03-21T20:21:08.2496190Z set -ex
2025-03-21T20:21:08.2496442Z {
2025-03-21T20:21:08.2496685Z   echo "#!/usr/bin/env bash";
2025-03-21T20:21:08.2497030Z   echo "set -eou pipefail";
2025-03-21T20:21:08.2497369Z   # shellcheck disable=SC2016
2025-03-21T20:21:08.2497734Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:21:08.2498092Z   echo "set -x";
2025-03-21T20:21:08.2498382Z   echo "${SCRIPT}";
2025-03-21T20:21:08.2498681Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:08.2499043Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:08.2499779Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:21:08.2505543Z shell: /usr/bin/bash -e {0}
2025-03-21T20:21:08.2505854Z env:
2025-03-21T20:21:08.2506553Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:08.2507323Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:08.2507620Z   PR_NUMBER: 
2025-03-21T20:21:08.2510715Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:21:08.2514012Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:08.2514606Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:08.2515170Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:08.2515854Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:21:08.2516186Z ##[endgroup]
2025-03-21T20:21:08.2538172Z + echo '#!/usr/bin/env bash'
2025-03-21T20:21:08.2538589Z + echo 'set -eou pipefail'
2025-03-21T20:21:08.2538892Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:21:08.2539407Z + echo 'set -x'
2025-03-21T20:21:08.2539845Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:21:08.2540727Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:21:08.2541392Z conda activate "${CONDA_ENV}"
2025-03-21T20:21:08.2541600Z 
2025-03-21T20:21:08.2541724Z BUILD_TOOL="cmake"
2025-03-21T20:21:08.2541966Z DTYPE=fp32
2025-03-21T20:21:08.2542199Z MODE=qnn
2025-03-21T20:21:08.2542438Z PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:21:08.2542603Z 
2025-03-21T20:21:08.2542774Z ./install_requirements.sh --use-pt-pinned-commit
2025-03-21T20:21:08.2543233Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
2025-03-21T20:21:08.2543717Z PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:21:08.2544020Z 
2025-03-21T20:21:08.2544122Z # Setup executorch
2025-03-21T20:21:08.2544574Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:21:08.2545110Z # Install requirements for export_llama
2025-03-21T20:21:08.2545594Z PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
2025-03-21T20:21:08.2546067Z # Test llama2
2025-03-21T20:21:08.2546921Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"
2025-03-21T20:21:08.2547827Z '
2025-03-21T20:21:08.2548169Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:21:08.2548962Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:21:29.7625536Z Running command: 
2025-03-21T20:21:29.7631694Z         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_c954f57c-865a-4404-9013-b51059ff34d2":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_c954f57c-865a-4404-9013-b51059ff34d2"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:21:29.7637305Z         
2025-03-21T20:21:29.7637655Z ce7081190560c5ea5639acb9a57ed937ae4b583bd122851e980827b9949374f8
2025-03-21T20:21:29.7638349Z Running command: docker exec -t ce7081190560c5ea5639acb9a57ed937ae4b583bd122851e980827b9949374f8 /exec
2025-03-21T20:21:29.7638934Z ++ conda env list --json
2025-03-21T20:21:29.7639217Z ++ local cmd=env
2025-03-21T20:21:29.7639462Z ++ case "$cmd" in
2025-03-21T20:21:29.7639711Z ++ __conda_exe env list --json
2025-03-21T20:21:29.7640014Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:21:29.7640312Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:21:29.7640663Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:21:29.7641059Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:21:29.7641385Z + local cmd=activate
2025-03-21T20:21:29.7641644Z + case "$cmd" in
2025-03-21T20:21:29.7641935Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:21:29.7642291Z + '[' -n '' ']'
2025-03-21T20:21:29.7642522Z + local ask_conda
2025-03-21T20:21:29.7642778Z ++ PS1='(base) '
2025-03-21T20:21:29.7643104Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:29.7643615Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:29.7644064Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:21:29.7644980Z export PATH='\''/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-03-21T20:21:29.7645905Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:29.7646270Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:29.7646586Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:29.7646959Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:29.7647337Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:29.7647697Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:29.7648031Z export _CE_M='\'''\''
2025-03-21T20:21:29.7648305Z export _CE_CONDA='\'''\''
2025-03-21T20:21:29.7649031Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:29.7649423Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:21:29.7650275Z export PATH='\''/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-03-21T20:21:29.7651197Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:29.7651562Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:29.7651874Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:29.7652246Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:29.7652622Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:29.7652984Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:29.7653318Z export _CE_M='\'''\''
2025-03-21T20:21:29.7653588Z export _CE_CONDA='\'''\''
2025-03-21T20:21:29.7653926Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:29.7654304Z ++ PS1='(py_3.10) '
2025-03-21T20:21:29.7655103Z ++ export PATH=/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-21T20:21:29.7656459Z ++ PATH=/opt/conda/envs/py_3.10/bin:/opt/conda/condabin:/opt/cache/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-03-21T20:21:29.7657308Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:29.7657677Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:29.7658005Z ++ export CONDA_SHLVL=2
2025-03-21T20:21:29.7658269Z ++ CONDA_SHLVL=2
2025-03-21T20:21:29.7658541Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:29.7658854Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:29.7659172Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:21:29.7659530Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:21:29.7659868Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:29.7660195Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:29.7660497Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:29.7660831Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:29.7661220Z ++ export _CE_M=
2025-03-21T20:21:29.7661468Z ++ _CE_M=
2025-03-21T20:21:29.7661703Z ++ export _CE_CONDA=
2025-03-21T20:21:29.7661946Z ++ _CE_CONDA=
2025-03-21T20:21:29.7662232Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:29.7662611Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:29.7662940Z + __conda_hashr
2025-03-21T20:21:29.7663171Z + '[' -n '' ']'
2025-03-21T20:21:29.7663414Z + '[' -n '' ']'
2025-03-21T20:21:29.7663650Z + hash -r
2025-03-21T20:21:29.7663889Z + BUILD_TOOL=cmake
2025-03-21T20:21:29.7664142Z + DTYPE=fp32
2025-03-21T20:21:29.7664368Z + MODE=qnn
2025-03-21T20:21:29.7664609Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:21:29.7664943Z + ./install_requirements.sh --use-pt-pinned-commit
2025-03-21T20:21:29.7665535Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:21:29.7666368Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:21:29.7667367Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:21:29.7668296Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:21:29.7669033Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:21:29.7669555Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:21:29.7670510Z Requirement already satisfied: torchsr==1.0.4 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-examples.txt (line 4)) (1.0.4)
2025-03-21T20:21:29.7671757Z Requirement already satisfied: transformers==4.47.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-examples.txt (line 5)) (4.47.1)
2025-03-21T20:21:29.7672841Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:21:29.7673484Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
2025-03-21T20:21:29.7674440Z Requirement already satisfied: pip>=23 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 2)) (25.0)
2025-03-21T20:21:29.7675564Z 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)
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2025-03-21T20:21:29.7678095Z Requirement already satisfied: tomli in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 5)) (2.0.1)
2025-03-21T20:21:29.7679228Z Requirement already satisfied: wheel in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 6)) (0.45.1)
2025-03-21T20:21:29.7680362Z Requirement already satisfied: zstd in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 7)) (1.5.5.1)
2025-03-21T20:21:29.7681596Z Requirement already satisfied: huggingface_hub in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.29.3)
2025-03-21T20:21:29.7682904Z Requirement already satisfied: safetensors in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.5.3)
2025-03-21T20:21:29.7684235Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.18.0)
2025-03-21T20:21:29.7685612Z Requirement already satisfied: numpy>=1.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.2.4)
2025-03-21T20:21:29.7686986Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (24.2)
2025-03-21T20:21:29.7688374Z Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2024.11.6)
2025-03-21T20:21:29.7689759Z Requirement already satisfied: requests in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.32.3)
2025-03-21T20:21:29.7691158Z Requirement already satisfied: tokenizers<0.22,>=0.21 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (0.21.1)
2025-03-21T20:21:29.7692539Z Requirement already satisfied: tqdm>=4.27 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (4.67.1)
2025-03-21T20:21:42.0123783Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (4.12.2)
2025-03-21T20:21:42.0126266Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:21:42.0128469Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:21:42.0130451Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
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2025-03-21T20:21:42.0132353Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision) (11.1.0)
2025-03-21T20:21:42.0133592Z 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)
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2025-03-21T20:21:42.0136062Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.4.1)
2025-03-21T20:21:42.0137548Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.10)
2025-03-21T20:21:42.0138978Z Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.3.0)
2025-03-21T20:21:42.0140460Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2025.1.31)
2025-03-21T20:21:42.0141508Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:21:42.0142617Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-03-21T20:21:42.0143346Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 62.0 MB/s eta 0:00:00
2025-03-21T20:21:42.0144149Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)
2025-03-21T20:21:42.0144926Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.8 MB ? eta -:--:--
2025-03-21T20:21:42.0145641Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.8/27.8 MB 229.4 MB/s eta 0:00:00
2025-03-21T20:21:42.0146195Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:21:42.0146569Z   Attempting uninstall: timm
2025-03-21T20:21:42.0146920Z     Found existing installation: timm 0.6.13
2025-03-21T20:21:42.0147279Z     Uninstalling timm-0.6.13:
2025-03-21T20:21:42.0147605Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:21:42.0147984Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:21:42.0148357Z Processing ./third-party/ao
2025-03-21T20:21:42.0148779Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-21T20:21:42.0149252Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:21:42.0149783Z   Building wheel for torchao (setup.py) ... [?25l- \ | done
2025-03-21T20:21:42.0150875Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=3f1063b9fb6af2a04da97f2ba53b5841a39bda8d6af210062b756646224ed802
2025-03-21T20:21:42.0152089Z   Stored in directory: /tmp/pip-ephem-wheel-cache-vp2y0vb1/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:21:42.0152795Z Successfully built torchao
2025-03-21T20:21:42.0153114Z Installing collected packages: torchao
2025-03-21T20:21:42.0153489Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:21:42.0153866Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:42.0154175Z + bash .ci/scripts/setup-qnn-deps.sh
2025-03-21T20:21:42.0154495Z + setup_libc++ 12
2025-03-21T20:21:42.0154749Z + clang_version=12
2025-03-21T20:21:42.0154993Z + sudo apt-get update
2025-03-21T20:21:42.0155166Z 
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2025-03-21T20:21:42.0156731Z                                                                     
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2025-03-21T20:21:42.0158455Z                                                                                
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2025-03-21T20:21:42.0165350Z                                  
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2025-03-21T20:21:42.0168529Z                                     
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2025-03-21T20:21:42.0169449Z                                                 
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2025-03-21T20:21:42.0170898Z                                                         
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2025-03-21T20:21:42.0174363Z                           
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2025-03-21T20:21:42.0175151Z                            
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2025-03-21T20:21:42.0176133Z Fetched 3538 kB in 1s (5665 kB/s)
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2025-03-21T20:21:42.0188348Z Reading package lists... Done
2025-03-21T20:21:42.0188536Z 
2025-03-21T20:21:42.0189226Z W: https://dl.yarnpkg.com/debian/dists/stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.
2025-03-21T20:21:42.0190154Z + pkgs_to_check=("libc++-${clang_version}-dev")
2025-03-21T20:21:42.0190483Z + j=0
2025-03-21T20:21:42.0190710Z + '[' 0 -lt 1 ']'
2025-03-21T20:21:42.0190982Z ++ verify_pkg_installed libc++-12-dev
2025-03-21T20:21:42.0191377Z +++ dpkg-query -W '--showformat=${Status}\n' libc++-12-dev
2025-03-21T20:21:42.0191777Z +++ grep 'install ok installed'
2025-03-21T20:21:42.0192071Z ++ echo install ok installed
2025-03-21T20:21:42.0192379Z + install_status='install ok installed'
2025-03-21T20:21:42.0192722Z + '[' 'install ok installed' == '' ']'
2025-03-21T20:21:42.0193030Z + j=1
2025-03-21T20:21:42.0193360Z + '[' 1 -lt 1 ']'
2025-03-21T20:21:42.0193593Z + install_qnn
2025-03-21T20:21:42.0193924Z + echo 'Start installing qnn.'
2025-03-21T20:21:42.0194230Z Start installing qnn.
2025-03-21T20:21:42.0194517Z + QNN_INSTALLATION_DIR=/tmp/qnn
2025-03-21T20:21:42.0194810Z + mkdir -p /tmp/qnn
2025-03-21T20:21:42.0195496Z + curl -Lo /tmp/v2.28.0.24.10.29.zip https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.28.0.241029.zip
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2025-03-21T20:22:23.5501884Z 
2025-03-21T20:22:23.5502059Z   0  954M    0 50719    0     0  67027      0  4:08:56 --:--:--  4:08:56 67027
2025-03-21T20:22:23.5502618Z   4  954M    4 41.2M    0     0  23.9M      0  0:00:39  0:00:01  0:00:38 42.6M
2025-03-21T20:22:23.5503082Z  11  954M   11  107M    0     0  39.5M      0  0:00:24  0:00:02  0:00:22 54.8M
2025-03-21T20:22:23.5503812Z  18  954M   18  174M    0     0  47.0M      0  0:00:20  0:00:03  0:00:17 59.0M
2025-03-21T20:22:23.5504261Z  25  954M   25  244M    0     0  51.8M      0  0:00:18  0:00:04  0:00:14 61.8M
2025-03-21T20:22:23.5504705Z  32  954M   32  312M    0     0  54.7M      0  0:00:17  0:00:05  0:00:12 63.0M
2025-03-21T20:22:23.5505134Z  40  954M   40  383M    0     0  56.9M      0  0:00:16  0:00:06  0:00:10 68.2M
2025-03-21T20:22:23.5505578Z  47  954M   47  451M    0     0  58.5M      0  0:00:16  0:00:07  0:00:09 68.8M
2025-03-21T20:22:23.5506020Z  54  954M   54  522M    0     0  59.8M      0  0:00:15  0:00:08  0:00:07 69.3M
2025-03-21T20:22:23.5506457Z  61  954M   61  590M    0     0  60.8M      0  0:00:15  0:00:09  0:00:06 69.1M
2025-03-21T20:22:23.5506913Z  69  954M   69  661M    0     0  61.8M      0  0:00:15  0:00:10  0:00:05 69.9M
2025-03-21T20:22:23.5507353Z  75  954M   75  722M    0     0  61.6M      0  0:00:15  0:00:11  0:00:04 68.1M
2025-03-21T20:22:23.5507785Z  82  954M   82  789M    0     0  62.1M      0  0:00:15  0:00:12  0:00:03 67.5M
2025-03-21T20:22:23.5508229Z  89  954M   89  857M    0     0  62.5M      0  0:00:15  0:00:13  0:00:02 67.3M
2025-03-21T20:22:23.5508665Z  97  954M   97  926M    0     0  63.0M      0  0:00:15  0:00:14  0:00:01 67.2M
2025-03-21T20:22:23.5509119Z 100  954M  100  954M    0     0  63.2M      0  0:00:15  0:00:15 --:--:-- 66.5M
2025-03-21T20:22:23.5509538Z + echo 'Finishing downloading qnn sdk.'
2025-03-21T20:22:23.5509890Z Finishing downloading qnn sdk.
2025-03-21T20:22:23.5510212Z + unzip -qo /tmp/v2.28.0.24.10.29.zip -d /tmp
2025-03-21T20:22:23.5510569Z + echo 'Finishing unzip qnn sdk.'
2025-03-21T20:22:23.5510885Z Finishing unzip qnn sdk.
2025-03-21T20:22:23.5511174Z + ls -lah /tmp/qairt
2025-03-21T20:22:23.5511444Z total 16K
2025-03-21T20:22:23.5511720Z drwxrwxrwx. 3 ci-user ci-user  27 Oct 30 05:44 .
2025-03-21T20:22:23.5512125Z drwxrwxrwt. 1 root    root     58 Mar 21 20:21 ..
2025-03-21T20:22:23.5512557Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029
2025-03-21T20:22:23.5512969Z + mv /tmp/qairt/2.28.0.241029 /tmp/qnn
2025-03-21T20:22:23.5513339Z + echo 'Finishing installing qnn '\''/tmp/qnn'\'' .'
2025-03-21T20:22:23.5513715Z Finishing installing qnn '/tmp/qnn' .
2025-03-21T20:22:23.5514039Z + ls -lah /tmp/qnn
2025-03-21T20:22:23.5514289Z total 16K
2025-03-21T20:22:23.5514563Z drwxr-xr-x. 3 ci-user ci-user  27 Mar 21 20:22 .
2025-03-21T20:22:23.5514960Z drwxrwxrwt. 1 root    root     58 Mar 21 20:21 ..
2025-03-21T20:22:23.5515377Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029
2025-03-21T20:22:23.5515782Z + PYTHON_EXECUTABLE=python
2025-03-21T20:22:23.5516092Z + bash .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:22:23.5516413Z + set -o xtrace
2025-03-21T20:22:23.5516664Z + build_qnn_backend
2025-03-21T20:22:23.5517144Z + echo 'Start building qnn backend.'
2025-03-21T20:22:23.5517592Z Start building qnn backend.
2025-03-21T20:22:23.5517906Z + export ANDROID_NDK_ROOT=/opt/ndk
2025-03-21T20:22:23.5518237Z + ANDROID_NDK_ROOT=/opt/ndk
2025-03-21T20:22:23.5518545Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:22:23.5518902Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:22:23.5519252Z +++ dirname -- .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:22:23.5519601Z ++ cd -- .ci/scripts/../..
2025-03-21T20:22:23.5519881Z ++ pwd
2025-03-21T20:22:23.5520135Z + export EXECUTORCH_ROOT=/pytorch/executorch
2025-03-21T20:22:23.5520500Z + EXECUTORCH_ROOT=/pytorch/executorch
2025-03-21T20:22:23.5521000Z + bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 2 --release
2025-03-21T20:22:23.5521505Z + [[ -z /tmp/qnn/2.28.0.241029 ]]
2025-03-21T20:22:23.5521818Z + '[' --skip_aarch64 = -h ']'
2025-03-21T20:22:23.5522097Z + BUILD_X86_64=true
2025-03-21T20:22:23.5522358Z + CMAKE_X86_64=build-x86
2025-03-21T20:22:23.5522642Z + BUILD_AARCH64=true
2025-03-21T20:22:23.5522921Z + CMAKE_AARCH64=build-android
2025-03-21T20:22:23.5523207Z + CLEAN=true
2025-03-21T20:22:23.5523437Z + BUILD_TYPE=Debug
2025-03-21T20:22:23.5523693Z + BUILD_JOB_NUMBER=16
2025-03-21T20:22:23.5523968Z + '[' -z PYTHON_EXECUTABLE ']'
2025-03-21T20:22:23.5524258Z + '[' -z BUCK2 ']'
2025-03-21T20:22:23.5524618Z + long_options=skip_x86_64,skip_aarch64,no_clean,release,job_number:
2025-03-21T20:22:23.5525553Z ++ getopt -a --options '' --longoptions skip_x86_64,skip_aarch64,no_clean,release,job_number: --name backends/qualcomm/scripts/build.sh -- --skip_aarch64 --job_number 2 --release
2025-03-21T20:22:23.5526481Z + parsed_args=' --skip_aarch64 --job_number '\''2'\'' --release --'
2025-03-21T20:22:23.5526974Z + eval set -- ' --skip_aarch64 --job_number '\''2'\'' --release --'
2025-03-21T20:22:23.5527420Z ++ set -- --skip_aarch64 --job_number 2 --release --
2025-03-21T20:22:23.5527775Z + true
2025-03-21T20:22:23.5528001Z + case "$1" in
2025-03-21T20:22:23.5528243Z + BUILD_AARCH64=false
2025-03-21T20:22:23.5528509Z + shift
2025-03-21T20:22:23.5528731Z + true
2025-03-21T20:22:23.5528959Z + case "$1" in
2025-03-21T20:22:23.5529191Z + BUILD_JOB_NUMBER=2
2025-03-21T20:22:23.5529446Z + shift 2
2025-03-21T20:22:23.5529669Z + true
2025-03-21T20:22:23.5529889Z + case "$1" in
2025-03-21T20:22:23.5530130Z + BUILD_TYPE=Release
2025-03-21T20:22:23.5530369Z + shift
2025-03-21T20:22:23.5530584Z + true
2025-03-21T20:22:23.5530804Z + case "$1" in
2025-03-21T20:22:23.5531037Z + shift
2025-03-21T20:22:23.5531243Z + break
2025-03-21T20:22:23.5531505Z +++ dirname backends/qualcomm/scripts/build.sh
2025-03-21T20:22:23.5531883Z ++ cd backends/qualcomm/scripts/../../..
2025-03-21T20:22:23.5532216Z ++ pwd -P
2025-03-21T20:22:23.5532475Z + PRJ_ROOT=/pytorch/executorch
2025-03-21T20:22:23.5532763Z + '[' false = true ']'
2025-03-21T20:22:23.5533030Z + '[' true = true ']'
2025-03-21T20:22:23.5533327Z + BUILD_ROOT=/pytorch/executorch/build-x86
2025-03-21T20:22:23.5546535Z + '[' true = true ']'
2025-03-21T20:22:23.5547032Z + rm -rf /pytorch/executorch/build-x86
2025-03-21T20:22:23.5547531Z + mkdir /pytorch/executorch/build-x86
2025-03-21T20:22:23.5548024Z + cd /pytorch/executorch/build-x86
2025-03-21T20:22:23.5550174Z + cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/pytorch/executorch/build-x86 -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -DEXECUTORCH_BUILD_QNN=ON -DEXECUTORCH_BUILD_DEVTOOLS=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON -DEXECUTORCH_ENABLE_EVENT_TRACER=ON -DPYTHON_EXECUTABLE=python -S /pytorch/executorch -B /pytorch/executorch/build-x86
2025-03-21T20:22:23.5552107Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:22:23.5552526Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:22:23.5552918Z -- Detecting C compiler ABI info
2025-03-21T20:22:23.5553257Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:23.5553682Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:23.5554317Z -- Detecting C compile features
2025-03-21T20:22:23.5554653Z -- Detecting C compile features - done
2025-03-21T20:22:23.5555004Z -- Detecting CXX compiler ABI info
2025-03-21T20:22:23.5555346Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:22:23.5555776Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:23.5556189Z -- Detecting CXX compile features
2025-03-21T20:22:23.5556532Z -- Detecting CXX compile features - done
2025-03-21T20:22:23.5557439Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:23.5558196Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:23.5558649Z   CMake.
2025-03-21T20:22:23.5558775Z 
2025-03-21T20:22:23.5559050Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:23.5559621Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:23.5560142Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:23.5560421Z 
2025-03-21T20:22:23.5560537Z 
2025-03-21T20:22:23.5561174Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:23.5561930Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:23.5562375Z   CMake.
2025-03-21T20:22:23.5562498Z 
2025-03-21T20:22:23.5562730Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:23.5563310Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:23.5563814Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:23.5564136Z 
2025-03-21T20:22:23.5564265Z 
2025-03-21T20:22:23.5564524Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:22:23.5564936Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:22:23.5565318Z -- Found Threads: TRUE
2025-03-21T20:22:23.5566028Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:23.5566812Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:23.5567258Z   CMake.
2025-03-21T20:22:23.5567383Z 
2025-03-21T20:22:23.5567631Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:23.5568198Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:23.5568710Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:23.5568990Z 
2025-03-21T20:22:23.5569102Z 
2025-03-21T20:22:23.5569356Z -- Using python executable 'python'
2025-03-21T20:22:23.5569690Z -- Resolved buck2 as buck2.
2025-03-21T20:22:23.5569972Z -- Killing buck2 daemon
2025-03-21T20:22:23.5570245Z 'buck2 killall'
2025-03-21T20:22:23.5570518Z -- executorch: Generating source lists
2025-03-21T20:22:23.5571077Z -- executorch: Generating source file list /pytorch/executorch/build-x86/executorch_srcs.cmake
2025-03-21T20:22:23.5571789Z -- executorch: Using sources file /pytorch/executorch/build-x86/executorch_srcs.cmake
2025-03-21T20:22:23.5572302Z -- executorch: Using PAL default 'posix'
2025-03-21T20:22:23.5572652Z -- Generating operator lib:
2025-03-21T20:22:23.5572957Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:23.5573388Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:23.5573833Z --   ROOT_OPS: 
2025-03-21T20:22:23.5574079Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:23.5575348Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml"
2025-03-21T20:22:23.5577054Z -- Generating kernel bindings:
2025-03-21T20:22:23.5577377Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:23.5577810Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:23.5578563Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:23.5578844Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:23.5580583Z Generated files /pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/NativeFunctions.h
2025-03-21T20:22:23.5582157Z -- Generating operator lib:
2025-03-21T20:22:23.5582466Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:23.5582787Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:22:23.5583107Z --   DEPS: executorch
2025-03-21T20:22:23.5583689Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:22:23.5584372Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:23.5584817Z   CMake.
2025-03-21T20:22:23.5584951Z 
2025-03-21T20:22:23.5585200Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:23.5585783Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:23.5586294Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:23.5586557Z 
2025-03-21T20:22:23.5586671Z 
2025-03-21T20:22:23.5586913Z -- Looking for C++ include unistd.h
2025-03-21T20:22:27.8126622Z -- Looking for C++ include unistd.h - found
2025-03-21T20:22:27.8127291Z -- Looking for C++ include stdint.h
2025-03-21T20:22:27.8127936Z -- Looking for C++ include stdint.h - found
2025-03-21T20:22:27.8128429Z -- Looking for C++ include inttypes.h
2025-03-21T20:22:27.8128790Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:22:27.8129220Z -- Looking for C++ include sys/types.h
2025-03-21T20:22:27.8129579Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:22:27.8130000Z -- Looking for C++ include sys/stat.h
2025-03-21T20:22:27.8130340Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:22:27.8130807Z -- Looking for C++ include fnmatch.h
2025-03-21T20:22:27.8131157Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:22:27.8131574Z -- Looking for C++ include stddef.h
2025-03-21T20:22:27.8131917Z -- Looking for C++ include stddef.h - found
2025-03-21T20:22:27.8132312Z -- Check size of uint32_t
2025-03-21T20:22:27.8132613Z -- Check size of uint32_t - done
2025-03-21T20:22:27.8132969Z -- Looking for strtoll
2025-03-21T20:22:27.8133342Z -- Looking for strtoll - found
2025-03-21T20:22:27.8133725Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:22:27.8134113Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:22:27.8135024Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:22:27.8135790Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:27.8136305Z   CMake.
2025-03-21T20:22:27.8136434Z 
2025-03-21T20:22:27.8136742Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:27.8137330Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:27.8137936Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:27.8138247Z 
2025-03-21T20:22:27.8138383Z 
2025-03-21T20:22:27.8138604Z -- pybind11 v2.13.6 
2025-03-21T20:22:27.8139131Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:22:27.8139810Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:22:27.8140255Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:22:27.8140644Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:22:27.8141409Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:22:27.8142146Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:27.8142596Z   CMake.
2025-03-21T20:22:27.8143470Z 
2025-03-21T20:22:27.8143901Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:27.8144553Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:27.8145082Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:27.8145448Z 
2025-03-21T20:22:27.8145620Z 
2025-03-21T20:22:27.8146007Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:22:27.8146526Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:22:27.8147008Z -- Setting Clang compiler options
2025-03-21T20:22:27.8147795Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:22:27.8148701Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:22:27.8149335Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:27.8149778Z   CMake.
2025-03-21T20:22:27.8149958Z 
2025-03-21T20:22:27.8150209Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:27.8150849Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:27.8151374Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:27.8151670Z 
2025-03-21T20:22:27.8151674Z 
2025-03-21T20:22:27.8151820Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:22:27.8152245Z -- Detecting C compiler ABI info
2025-03-21T20:22:27.8152581Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:27.8153056Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:27.8153469Z -- Detecting C compile features
2025-03-21T20:22:27.8153831Z -- Detecting C compile features - done
2025-03-21T20:22:27.8154244Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:22:27.8154778Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:22:27.8155235Z -- Setting Clang compiler options
2025-03-21T20:22:27.8156000Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:22:27.8156785Z -- Configuring done (0.2s)
2025-03-21T20:22:27.8157087Z -- Generating done (0.0s)
2025-03-21T20:22:27.8157531Z -- Build files have been written to: /pytorch/executorch/build-x86/_host_build
2025-03-21T20:22:27.8158142Z [  3%] Building C object src/runtime/CMakeFiles/flatccrt.dir/builder.c.o
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2025-03-21T20:22:27.8159347Z [  9%] Building C object src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o
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2025-03-21T20:22:27.8161155Z [ 18%] Building C object src/runtime/CMakeFiles/flatccrt.dir/json_printer.c.o
2025-03-21T20:22:27.8161866Z [ 21%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
2025-03-21T20:22:27.8162443Z [ 21%] Built target flatccrt
2025-03-21T20:22:27.8162978Z [ 24%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/str_set.c.o
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2025-03-21T20:22:27.8170737Z [ 60%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c.c.o
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2025-03-21T20:22:27.8175120Z [ 81%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_json_printer.c.o
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2025-03-21T20:22:27.8177189Z [ 90%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/refmap.c.o
2025-03-21T20:22:27.8177830Z [ 93%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatcc.a
2025-03-21T20:22:27.8178397Z [ 93%] Built target flatcc
2025-03-21T20:22:27.8178784Z [ 96%] Building C object src/cli/CMakeFiles/flatcc_cli.dir/flatcc_cli.c.o
2025-03-21T20:22:27.8179372Z [100%] Linking C executable /pytorch/executorch/third-party/flatcc/bin/flatcc
2025-03-21T20:22:27.8179861Z [100%] Built target flatcc_cli
2025-03-21T20:22:27.8180170Z -- Generating operator lib:
2025-03-21T20:22:27.8180480Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:27.8180903Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:22:27.8181432Z --   ROOT_OPS: 
2025-03-21T20:22:27.8181691Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:27.8183035Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml"
2025-03-21T20:22:27.8184194Z -- Generating kernel bindings:
2025-03-21T20:22:27.8184508Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:27.8184804Z --   FUNCTIONS_YAML: 
2025-03-21T20:22:27.8185203Z --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:22:27.8185673Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:27.8188874Z Generated files /pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h
2025-03-21T20:22:27.8191696Z -- Generating operator lib:
2025-03-21T20:22:27.8192000Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:27.8192324Z --   KERNEL_LIBS: quantized_kernels
2025-03-21T20:22:27.8192641Z --   DEPS: executorch
2025-03-21T20:22:27.8192884Z -- 
2025-03-21T20:22:27.8193113Z -- ******** Summary ********
2025-03-21T20:22:27.8193418Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:22:27.8193927Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:22:27.8194365Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:22:27.8194698Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:22:27.8195024Z --   BUCK2                         : buck2
2025-03-21T20:22:27.8195365Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:22:27.8195874Z --   FLATC_EXECUTABLE              : /pytorch/executorch/build-x86/third-party/flatbuffers/flatc
2025-03-21T20:22:27.8196412Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:22:27.8196794Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:22:27.8197187Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:22:27.8197568Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:22:27.8197949Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:22:27.8198329Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:22:27.8198693Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:22:27.8199077Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:22:27.8199459Z --   EXECUTORCH_BUILD_DEVTOOLS              : ON
2025-03-21T20:22:27.8199840Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:22:27.8200227Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2025-03-21T20:22:27.8200613Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON
2025-03-21T20:22:31.1021227Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:22:31.1022047Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2025-03-21T20:22:31.1022467Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:22:31.1022946Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : ON
2025-03-21T20:22:31.1023338Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:22:31.1023767Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:22:31.1024124Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:22:31.1024544Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:22:31.1024957Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:22:31.1025418Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:22:31.1025810Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:22:31.1026248Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : ON
2025-03-21T20:22:31.1026650Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:22:31.1027056Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:22:31.1027483Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:22:31.1027865Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:22:31.1028274Z --   EXECUTORCH_BUILD_QNN                   : ON
2025-03-21T20:22:31.1028648Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:22:31.1029078Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:22:31.1029453Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:22:31.1029883Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:22:31.1030239Z -- Configuring done (13.4s)
2025-03-21T20:22:31.1030600Z -- Generating done (0.2s)
2025-03-21T20:22:31.1030991Z -- Build files have been written to: /pytorch/executorch/build-x86
2025-03-21T20:22:31.1031584Z + cmake --build /pytorch/executorch/build-x86 -j2 --target install
2025-03-21T20:22:31.1032331Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:22:31.1033150Z [  0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:22:31.1033903Z [  0%] No download step for 'flatbuffers'
2025-03-21T20:22:31.1034418Z [  1%] No update step for 'flatbuffers'
2025-03-21T20:22:31.1034864Z [  1%] No patch step for 'flatbuffers'
2025-03-21T20:22:31.1035408Z [  1%] Performing configure step for 'flatbuffers'
2025-03-21T20:22:31.1035854Z CMake Warning:
2025-03-21T20:22:31.1036200Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:22:31.1036497Z 
2025-03-21T20:22:31.1037244Z 
2025-03-21T20:22:31.1037677Z fatal: No names found, cannot describe anything.
2025-03-21T20:22:31.1038221Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:22:31.1038630Z   git describe failed with exit code: 128
2025-03-21T20:22:31.1038856Z 
2025-03-21T20:22:31.1039099Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:22:31.1039494Z Call Stack (most recent call first):
2025-03-21T20:22:31.1039868Z   CMakeLists.txt:5 (include)
2025-03-21T20:22:31.1040064Z 
2025-03-21T20:22:31.1040176Z 
2025-03-21T20:22:31.1040431Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:22:31.1040840Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:22:31.1041235Z -- Detecting CXX compiler ABI info
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2025-03-21T20:22:31.1044378Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:31.1044791Z -- Detecting CXX compile features
2025-03-21T20:22:31.1045180Z -- Detecting CXX compile features - done
2025-03-21T20:22:31.1045514Z -- Looking for strtof_l
2025-03-21T20:22:31.1045999Z [  2%] Linking CXX static library libgflags_nothreads.a
2025-03-21T20:22:31.1046431Z [  2%] Built target gflags_nothreads_static
2025-03-21T20:22:31.1046904Z [  2%] Generating etdump headers
2025-03-21T20:22:31.1047251Z [  2%] Built target etdump_schema
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2025-03-21T20:22:31.1054054Z -- Looking for strtoull_l - found
2025-03-21T20:22:31.1054419Z -- Looking for realpath
2025-03-21T20:22:31.1055008Z [  3%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
2025-03-21T20:22:31.1055585Z [  3%] Built target flatccrt
2025-03-21T20:22:31.1056273Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
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2025-03-21T20:22:31.1057926Z -- Looking for realpath - found
2025-03-21T20:22:31.1058275Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-03-21T20:22:31.1058661Z -- Configuring done (1.0s)
2025-03-21T20:22:31.1059005Z -- Generating done (0.0s)
2025-03-21T20:22:31.1059480Z -- Build files have been written to: /pytorch/executorch/build-x86/third-party/flatbuffers
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2025-03-21T20:23:29.8872009Z + rm -f '/pytorch/executorch/backends/qualcomm/python/*'
2025-03-21T20:23:29.8873520Z + cp -fv /pytorch/executorch/build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python
2025-03-21T20:23:29.8876305Z '/pytorch/executorch/build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so' -> '/pytorch/executorch/backends/qualcomm/python/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so'
2025-03-21T20:23:29.8878322Z '/pytorch/executorch/build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so' -> '/pytorch/executorch/backends/qualcomm/python/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so'
2025-03-21T20:23:29.8879649Z + cp -fv /pytorch/executorch/schema/program.fbs /pytorch/executorch/exir/_serialize/program.fbs
2025-03-21T20:23:29.8880412Z '/pytorch/executorch/schema/program.fbs' -> '/pytorch/executorch/exir/_serialize/program.fbs'
2025-03-21T20:23:29.8881208Z + cp -fv /pytorch/executorch/schema/scalar_type.fbs /pytorch/executorch/exir/_serialize/scalar_type.fbs
2025-03-21T20:23:29.8882028Z '/pytorch/executorch/schema/scalar_type.fbs' -> '/pytorch/executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:23:29.8882634Z + EXAMPLE_ROOT=examples/qualcomm
2025-03-21T20:23:29.8883291Z + CMAKE_PREFIX_PATH='/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;'
2025-03-21T20:23:29.8883984Z + echo 'Update tokenizers submodule...'
2025-03-21T20:23:29.8884321Z Update tokenizers submodule...
2025-03-21T20:23:29.8884750Z + pushd /pytorch/executorch/extension/llm/tokenizers
2025-03-21T20:23:29.8885318Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch/build-x86
2025-03-21T20:23:29.8885827Z + git submodule update --init
2025-03-21T20:23:29.8886500Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'third-party/abseil-cpp'
2025-03-21T20:23:29.8887447Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json'
2025-03-21T20:23:29.8888280Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'third-party/re2'
2025-03-21T20:23:29.8889270Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'third-party/sentencepiece'
2025-03-21T20:23:29.8890207Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'...
2025-03-21T20:23:29.8890907Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/json'...
2025-03-21T20:23:29.8891566Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/re2'...
2025-03-21T20:23:29.8892270Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'...
2025-03-21T20:23:29.8893020Z Submodule path 'third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4'
2025-03-21T20:23:29.8893760Z Submodule path 'third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d'
2025-03-21T20:23:29.8894459Z Submodule path 'third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca'
2025-03-21T20:23:29.8895499Z Submodule path 'third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce'
2025-03-21T20:23:29.8896053Z + popd
2025-03-21T20:23:29.8896310Z /pytorch/executorch/build-x86
2025-03-21T20:23:29.8897662Z + cmake /pytorch/executorch/examples/qualcomm -DCMAKE_BUILD_TYPE=Release '-DCMAKE_PREFIX_PATH=/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;' -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH -DPYTHON_EXECUTABLE=python -Bexamples/qualcomm
2025-03-21T20:23:29.8899095Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:23:29.8899509Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:23:29.8899955Z -- Detecting C compiler ABI info
2025-03-21T20:23:29.8900343Z -- Detecting C compiler ABI info - done
2025-03-21T20:23:29.8900947Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:23:29.8901456Z -- Detecting C compile features
2025-03-21T20:23:29.8901786Z -- Detecting C compile features - done
2025-03-21T20:23:29.8902207Z -- Detecting CXX compiler ABI info
2025-03-21T20:23:29.8902630Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:23:29.8903090Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:23:29.8903580Z -- Detecting CXX compile features
2025-03-21T20:23:29.8903920Z -- Detecting CXX compile features - done
2025-03-21T20:23:29.8904599Z CMake Warning (dev) at CMakeLists.txt:31 (find_package):
2025-03-21T20:23:29.8905155Z   Policy CMP0144 is not set: find_package uses upper-case <PACKAGENAME>_ROOT
2025-03-21T20:23:29.8905750Z   variables.  Run "cmake --help-policy CMP0144" for policy details.  Use the
2025-03-21T20:23:29.8906304Z   cmake_policy command to set the policy and suppress this warning.
2025-03-21T20:23:29.8906638Z 
2025-03-21T20:23:29.8906769Z   CMake variable EXECUTORCH_ROOT is set to:
2025-03-21T20:23:29.8907015Z 
2025-03-21T20:23:29.8907154Z     /pytorch/executorch/examples/qualcomm/../..
2025-03-21T20:23:29.8907409Z 
2025-03-21T20:23:29.8907564Z   Environment variable EXECUTORCH_ROOT is set to:
2025-03-21T20:23:29.8907824Z 
2025-03-21T20:23:29.8907941Z     /pytorch/executorch
2025-03-21T20:23:29.8908106Z 
2025-03-21T20:23:29.8908352Z   For compatibility, find_package is ignoring the variable, but code in a
2025-03-21T20:23:29.8908815Z   .cmake module might still use it.
2025-03-21T20:23:29.8909247Z This warning is for project developers.  Use -Wno-dev to suppress it.
2025-03-21T20:23:29.8909700Z 
2025-03-21T20:23:29.8910005Z coremldelegate library is not found.
2025-03-21T20:23:29.8910524Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8911015Z mpsdelegate library is not found.
2025-03-21T20:23:29.8911504Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8911996Z neuron_backend library is not found.
2025-03-21T20:23:29.8912499Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8912993Z custom_ops library is not found.
2025-03-21T20:23:29.8913494Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8914006Z extension_runner_util library is not found.
2025-03-21T20:23:29.8914539Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8915044Z extension_training library is not found.
2025-03-21T20:23:29.8915564Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8916061Z xnnpack_backend library is not found.
2025-03-21T20:23:29.8916558Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:29.8917038Z XNNPACK library is not found.
2025-03-21T20:23:29.8917525Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4825350Z microkernels-prod library is not found.
2025-03-21T20:23:33.4826348Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4827108Z kleidiai library is not found.
2025-03-21T20:23:33.4827714Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4828216Z vulkan_backend library is not found.
2025-03-21T20:23:33.4828713Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4829219Z optimized_kernels library is not found.
2025-03-21T20:23:33.4829734Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4830213Z cpublas library is not found.
2025-03-21T20:23:33.4830698Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4831171Z eigen_blas library is not found.
2025-03-21T20:23:33.4831664Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4832164Z optimized_ops_lib library is not found.
2025-03-21T20:23:33.4832676Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4833231Z optimized_native_cpu_ops_lib library is not found.
2025-03-21T20:23:33.4833776Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4834293Z quantized_ops_aot_lib library is not found.
2025-03-21T20:23:33.4834817Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:33.4835541Z -- executorch: Using source file list /pytorch/executorch/build-x86/examples/qualcomm/../../executorch_srcs.cmake
2025-03-21T20:23:33.4836181Z -- Generating operator lib:
2025-03-21T20:23:33.4836495Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:33.4836803Z --   OPS_SCHEMA_YAML: 
2025-03-21T20:23:33.4837074Z --   ROOT_OPS: 
2025-03-21T20:23:33.4837327Z --   INCLUDE_ALL_OPS: ON
2025-03-21T20:23:33.4838386Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/examples/qualcomm/full_portable_ops_lib/selected_operators.yaml;--include_all_operators
2025-03-21T20:23:33.4839324Z -- Generating kernel bindings:
2025-03-21T20:23:33.4839648Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:33.4840211Z --   FUNCTIONS_YAML: /pytorch/executorch/examples/qualcomm/../../kernels/portable/functions.yaml
2025-03-21T20:23:33.4840755Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:33.4841042Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:23:33.4841366Z -- Generating operator lib:
2025-03-21T20:23:33.4841668Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:33.4841997Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:23:33.4842294Z --   DEPS: executorch
2025-03-21T20:23:33.4842600Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17
2025-03-21T20:23:33.4843020Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success
2025-03-21T20:23:33.4843444Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20
2025-03-21T20:23:33.4843869Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed
2025-03-21T20:23:33.4844264Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:23:33.4844658Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:23:33.4845035Z -- Found Threads: TRUE
2025-03-21T20:23:33.4845776Z CMake Warning at /pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp/CMakeLists.txt:177 (message):
2025-03-21T20:23:33.4847052Z     The default and system-level install directories are unsupported except in LTS   releases of Abseil.  Please set CMAKE_INSTALL_PREFIX to install Abseil in your   source or build tree directly.    
2025-03-21T20:23:33.4847859Z 
2025-03-21T20:23:33.4847985Z 
2025-03-21T20:23:33.4848211Z -- Configuring done (1.3s)
2025-03-21T20:23:33.4848509Z -- Generating done (0.3s)
2025-03-21T20:23:33.4848957Z -- Build files have been written to: /pytorch/executorch/build-x86/examples/qualcomm
2025-03-21T20:23:33.4849465Z + cmake --build examples/qualcomm -j2
2025-03-21T20:23:33.4850022Z [  1%] Generating selected_operators.yaml for full_portable_ops_lib
2025-03-21T20:23:33.4850807Z [  1%] Building CXX object abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o
2025-03-21T20:23:33.4851668Z [  2%] Linking CXX static library libabsl_log_severity.a
2025-03-21T20:23:33.4852092Z [  2%] Built target log_severity
2025-03-21T20:23:33.4852784Z [  3%] Building CXX object abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o
2025-03-21T20:23:33.4853510Z [  3%] Generating code for kernel registration
2025-03-21T20:23:33.4854044Z [  3%] Linking CXX static library libabsl_spinlock_wait.a
2025-03-21T20:23:33.4854457Z [  3%] Built target spinlock_wait
2025-03-21T20:23:33.4855102Z [  4%] Building CXX object abseil-cpp/absl/base/CMakeFiles/strerror.dir/internal/strerror.cc.o
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2025-03-21T20:23:33.4892751Z [ 13%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:23:33.4894038Z [ 13%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/extension/runner_util/inputs.cpp.o
2025-03-21T20:23:33.4895336Z [ 13%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:23:33.4896730Z [ 14%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:23:35.3444250Z [ 14%] Building CXX object oss_scripts/llama/CMakeFiles/custom_ops.dir/pytorch/executorch/extension/llm/custom_ops/op_fallback.cpp.o
2025-03-21T20:23:35.3445436Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:35.3446381Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:35.3447899Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:26:13: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations]
2025-03-21T20:23:35.3449094Z       const NamedDataMap* named_data_map = nullptr)
2025-03-21T20:23:35.3449499Z             ^
2025-03-21T20:23:35.3450292Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:35.3451183Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:35.3451521Z       ^
2025-03-21T20:23:35.3452432Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:35.3453473Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:35.3453956Z     ^
2025-03-21T20:23:35.3454442Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:35.3455396Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:35.3456846Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:62:9: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations]
2025-03-21T20:23:35.3458072Z   const NamedDataMap* get_named_data_map() const {
2025-03-21T20:23:35.3458473Z         ^
2025-03-21T20:23:35.3459218Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:35.3460106Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:35.3460430Z       ^
2025-03-21T20:23:35.3461193Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:35.3462123Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:35.3462631Z     ^
2025-03-21T20:23:35.3463150Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:35.3464061Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:35.3465537Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:70:9: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations]
2025-03-21T20:23:35.3466715Z   const NamedDataMap* named_data_map_ = nullptr;
2025-03-21T20:23:35.3467134Z         ^
2025-03-21T20:23:35.3467912Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:35.3468785Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:35.3469123Z       ^
2025-03-21T20:23:35.3469793Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:35.3470763Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:35.3471206Z     ^
2025-03-21T20:23:35.3471474Z 3 warnings generated.
2025-03-21T20:23:35.3471948Z [ 14%] Linking CXX executable qnn_executor_runner
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2025-03-21T20:23:47.6935803Z [ 91%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:23:47.6937136Z [ 91%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama2_7b_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:23:47.6938592Z [ 91%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama2_7b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:23:47.6940066Z [ 91%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:23:47.6941570Z [ 92%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:23:47.6943045Z [ 93%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama2_7b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:23:47.6944462Z [ 93%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o
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2025-03-21T20:23:47.6947283Z [ 93%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o
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2025-03-21T20:23:47.6949843Z [ 94%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
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2025-03-21T20:23:47.6952601Z [ 95%] Linking CXX executable qaihub_llama2_7b_runner
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2025-03-21T20:23:53.7497686Z [ 96%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/runner/io_memory.cpp.o
2025-03-21T20:23:53.7499070Z [ 96%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/examples/models/llama/tokenizer/llama_tiktoken.cpp.o
2025-03-21T20:23:53.7500669Z [ 96%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:23:53.7502182Z [ 97%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/sampler/sampler.cpp.o
2025-03-21T20:23:53.7503524Z [ 97%] Building CXX object qaihub_scripts/stable_diffusion/CMakeFiles/qaihub_stable_diffusion_runner.dir/qaihub_stable_diffusion_runner.cpp.o
2025-03-21T20:23:53.7504864Z [ 97%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:23:53.7506146Z [ 97%] Building CXX object qaihub_scripts/stable_diffusion/CMakeFiles/qaihub_stable_diffusion_runner.dir/runner/runner.cpp.o
2025-03-21T20:23:53.7507567Z [ 97%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:23:53.7509099Z [ 98%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:23:53.7510155Z [ 99%] Linking CXX executable qaihub_stable_diffusion_runner
2025-03-21T20:23:53.7511212Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o
2025-03-21T20:23:53.7512068Z [ 99%] Built target qaihub_stable_diffusion_runner
2025-03-21T20:23:53.7512995Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o
2025-03-21T20:23:53.7514342Z [100%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
2025-03-21T20:23:53.7515288Z [100%] Linking CXX executable qaihub_llama3_8b_runner
2025-03-21T20:23:53.7515720Z [100%] Built target qaihub_llama3_8b_runner
2025-03-21T20:23:53.7516057Z + set_up_aot
2025-03-21T20:23:53.7516527Z + cd /pytorch/executorch
2025-03-21T20:23:53.7516904Z + '[' '!' -d cmake-out ']'
2025-03-21T20:23:53.7517192Z + mkdir cmake-out
2025-03-21T20:23:53.7517449Z + pushd cmake-out
2025-03-21T20:23:53.7517759Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:23:53.7519345Z + cmake .. -DCMAKE_INSTALL_PREFIX=/pytorch/executorch/cmake-out -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -DEXECUTORCH_BUILD_DEVTOOLS=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON -DEXECUTORCH_ENABLE_EVENT_TRACER=ON -DPYTHON_EXECUTABLE=python3 -DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF
2025-03-21T20:23:53.7520982Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:23:53.7521383Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:23:53.7521773Z -- Detecting C compiler ABI info
2025-03-21T20:23:53.7522110Z -- Detecting C compiler ABI info - done
2025-03-21T20:23:53.7522526Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:23:53.7522950Z -- Detecting C compile features
2025-03-21T20:23:53.7523270Z -- Detecting C compile features - done
2025-03-21T20:23:53.7523615Z -- Detecting CXX compiler ABI info
2025-03-21T20:23:53.7523952Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:23:53.7524371Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:23:53.7524794Z -- Detecting CXX compile features
2025-03-21T20:23:53.7525120Z -- Detecting CXX compile features - done
2025-03-21T20:23:53.7525878Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:53.7526632Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7527076Z   CMake.
2025-03-21T20:23:53.7527201Z 
2025-03-21T20:23:53.7527448Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7528031Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7528539Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7528823Z 
2025-03-21T20:23:53.7528937Z 
2025-03-21T20:23:53.7529569Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:53.7530327Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7530766Z   CMake.
2025-03-21T20:23:53.7530889Z 
2025-03-21T20:23:53.7531132Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7531696Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7532201Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7532475Z 
2025-03-21T20:23:53.7532587Z 
2025-03-21T20:23:53.7532842Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:23:53.7533238Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:23:53.7533598Z -- Found Threads: TRUE
2025-03-21T20:23:53.7534310Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:23:53.7535086Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7535526Z   CMake.
2025-03-21T20:23:53.7535651Z 
2025-03-21T20:23:53.7535893Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7536469Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7536961Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7537236Z 
2025-03-21T20:23:53.7537343Z 
2025-03-21T20:23:53.7537586Z -- Using python executable 'python3'
2025-03-21T20:23:53.7537916Z -- Resolved buck2 as buck2.
2025-03-21T20:23:53.7538207Z -- Killing buck2 daemon
2025-03-21T20:23:53.7538466Z 'buck2 killall'
2025-03-21T20:23:53.7538736Z -- executorch: Generating source lists
2025-03-21T20:23:53.7539275Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:23:53.7540160Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:23:53.7540681Z -- executorch: Using PAL default 'posix'
2025-03-21T20:23:53.7541017Z -- Generating operator lib:
2025-03-21T20:23:53.7541396Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:53.7541828Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:23:53.7542270Z --   ROOT_OPS: 
2025-03-21T20:23:53.7542529Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:23:53.7543807Z Command - python3;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml"
2025-03-21T20:23:53.7544939Z -- Generating kernel bindings:
2025-03-21T20:23:53.7545254Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:53.7545677Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:23:53.7546131Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:53.7546485Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:23:53.7548190Z 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
2025-03-21T20:23:53.7549674Z -- Generating operator lib:
2025-03-21T20:23:53.7549980Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:23:53.7550293Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:23:53.7550605Z --   DEPS: executorch
2025-03-21T20:23:53.7551192Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:23:53.7551857Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7552304Z   CMake.
2025-03-21T20:23:53.7552443Z 
2025-03-21T20:23:53.7552676Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7553269Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7553778Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7554039Z 
2025-03-21T20:23:53.7554168Z 
2025-03-21T20:23:53.7554399Z -- Looking for C++ include unistd.h
2025-03-21T20:23:53.7554747Z -- Looking for C++ include unistd.h - found
2025-03-21T20:23:53.7555100Z -- Looking for C++ include stdint.h
2025-03-21T20:23:53.7555443Z -- Looking for C++ include stdint.h - found
2025-03-21T20:23:53.7555796Z -- Looking for C++ include inttypes.h
2025-03-21T20:23:53.7556138Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:23:53.7556503Z -- Looking for C++ include sys/types.h
2025-03-21T20:23:53.7556858Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:23:53.7557220Z -- Looking for C++ include sys/stat.h
2025-03-21T20:23:53.7557572Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:23:53.7557924Z -- Looking for C++ include fnmatch.h
2025-03-21T20:23:53.7558272Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:23:53.7558627Z -- Looking for C++ include stddef.h
2025-03-21T20:23:53.7558965Z -- Looking for C++ include stddef.h - found
2025-03-21T20:23:53.7559312Z -- Check size of uint32_t
2025-03-21T20:23:53.7559594Z -- Check size of uint32_t - done
2025-03-21T20:23:53.7559896Z -- Looking for strtoll
2025-03-21T20:23:53.7560175Z -- Looking for strtoll - found
2025-03-21T20:23:53.7560496Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:23:53.7560882Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:23:53.7561559Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:23:53.7562242Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7562682Z   CMake.
2025-03-21T20:23:53.7562804Z 
2025-03-21T20:23:53.7563047Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7563788Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7564304Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7564570Z 
2025-03-21T20:23:53.7564685Z 
2025-03-21T20:23:53.7564914Z -- pybind11 v2.13.6 
2025-03-21T20:23:53.7565382Z -- Found PythonInterp: python3 (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:23:53.7566012Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:23:53.7566449Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:23:53.7566774Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:23:53.7567416Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:23:53.7568086Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:23:53.7568528Z   CMake.
2025-03-21T20:23:53.7568652Z 
2025-03-21T20:23:53.7568902Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:23:53.7569483Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:23:53.7569976Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:23:53.7570251Z 
2025-03-21T20:23:53.7570364Z 
2025-03-21T20:23:53.7570667Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:23:53.7571143Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:23:56.7251113Z -- Setting Clang compiler options
2025-03-21T20:23:56.7252517Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:23:56.7253726Z -- 
2025-03-21T20:23:56.7254079Z -- ******** Summary ********
2025-03-21T20:23:56.7254538Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:23:56.7255088Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:23:56.7255630Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:23:56.7256224Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:23:56.7256744Z --   BUCK2                         : buck2
2025-03-21T20:23:56.7257275Z --   PYTHON_EXECUTABLE             : python3
2025-03-21T20:23:56.7258108Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:23:56.7258974Z --   EXECUTORCH_ENABLE_LOGGING              : ON
2025-03-21T20:23:56.7259593Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON
2025-03-21T20:23:56.7260202Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:23:56.7260823Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:23:56.7261504Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:23:56.7262122Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:23:56.7262718Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:23:56.7263325Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:23:56.7263946Z --   EXECUTORCH_BUILD_DEVTOOLS              : ON
2025-03-21T20:23:56.7264560Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:23:56.7265210Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2025-03-21T20:23:56.7265895Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON
2025-03-21T20:23:56.7266553Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:23:56.7267193Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2025-03-21T20:23:56.7267862Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:23:56.7268560Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : ON
2025-03-21T20:23:56.7269261Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:23:56.7269921Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:23:56.7270581Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:23:56.7271235Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:23:56.7271923Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:23:56.7272606Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:23:56.7274394Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:23:56.7275106Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:23:56.7276022Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:23:56.7276710Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:23:56.7277430Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:23:56.7278082Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:23:56.7278748Z --   EXECUTORCH_BUILD_QNN                   : ON
2025-03-21T20:23:56.7279425Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:23:56.7280081Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:23:56.7280748Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:23:56.7281446Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:23:56.7282082Z -- Configuring done (4.8s)
2025-03-21T20:23:56.7282603Z -- Generating done (0.2s)
2025-03-21T20:23:56.7283300Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:23:56.7284053Z ++ nproc
2025-03-21T20:23:56.7284902Z + cmake --build /pytorch/executorch/cmake-out --target PyQnnManagerAdaptor PyQnnWrapperAdaptor -j8
2025-03-21T20:23:56.7286362Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:23:56.7287191Z [  0%] No download step for 'flatbuffers'
2025-03-21T20:23:56.7287979Z [  0%] No update step for 'flatbuffers'
2025-03-21T20:23:56.7288763Z [  0%] No patch step for 'flatbuffers'
2025-03-21T20:23:56.7289542Z [  0%] Performing configure step for 'flatbuffers'
2025-03-21T20:23:56.7290250Z CMake Warning:
2025-03-21T20:23:56.7290796Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:23:56.7291272Z 
2025-03-21T20:23:56.7291483Z 
2025-03-21T20:23:56.7291928Z fatal: No names found, cannot describe anything.
2025-03-21T20:23:56.7292723Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:23:56.7293425Z   git describe failed with exit code: 128
2025-03-21T20:23:56.7293817Z 
2025-03-21T20:23:56.7294104Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:23:56.7294768Z Call Stack (most recent call first):
2025-03-21T20:23:56.7295309Z   CMakeLists.txt:5 (include)
2025-03-21T20:23:56.7295619Z 
2025-03-21T20:23:56.7295796Z 
2025-03-21T20:23:56.7296183Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:23:56.7296787Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:23:56.7297420Z -- Detecting CXX compiler ABI info
2025-03-21T20:23:56.7297973Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:23:56.7298665Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:23:56.7299351Z -- Detecting CXX compile features
2025-03-21T20:23:56.7299898Z -- Detecting CXX compile features - done
2025-03-21T20:23:56.7300446Z -- Looking for strtof_l
2025-03-21T20:23:56.7300896Z -- Looking for strtof_l - found
2025-03-21T20:23:56.7301475Z -- Looking for strtoull_l
2025-03-21T20:23:56.7301960Z -- Looking for strtoull_l - found
2025-03-21T20:23:56.7302466Z -- Looking for realpath
2025-03-21T20:23:56.7302918Z -- Looking for realpath - found
2025-03-21T20:23:56.7303493Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-03-21T20:23:56.7304097Z -- Configuring done (0.8s)
2025-03-21T20:23:56.7304568Z -- Generating done (0.0s)
2025-03-21T20:23:56.7305340Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatbuffers
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2025-03-21T20:23:56.7353577Z [100%] Built target flatc
2025-03-21T20:23:56.7354272Z [  6%] No install step for 'flatbuffers'
2025-03-21T20:23:56.7355067Z [  6%] Completed 'flatbuffers'
2025-03-21T20:23:56.7355691Z [  6%] Built target flatbuffers
2025-03-21T20:23:56.7356637Z [  6%] Generating common_schema headers
2025-03-21T20:23:56.7357362Z [ 12%] Generating qualcomm ir schema headers
2025-03-21T20:23:56.7358075Z [ 18%] Generating qnn_schema headers
2025-03-21T20:23:56.7358663Z [ 18%] Built target common_schema
2025-03-21T20:23:56.7359126Z [ 18%] Built target qcir
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2025-03-21T20:23:56.7360206Z [ 18%] Generating program_schema headers
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2025-03-21T20:23:56.7365112Z [ 18%] Building CXX object CMakeFiles/executorch_core.dir/runtime/backend/interface.cpp.o
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2025-03-21T20:23:56.7368211Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/exec_aten/util/tensor_shape_to_c_string.cpp.o
2025-03-21T20:23:56.7370102Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/exec_aten/util/tensor_util_portable.cpp.o
2025-03-21T20:23:59.9974233Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/portable_type/tensor_impl.cpp.o
2025-03-21T20:23:59.9975398Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tag.cpp.o
2025-03-21T20:23:59.9976420Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tensor_layout.cpp.o
2025-03-21T20:23:59.9977264Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method.cpp.o
2025-03-21T20:23:59.9977982Z [ 31%] Linking CXX static library libqnn_executorch_logging.a
2025-03-21T20:23:59.9978467Z [ 31%] Built target qnn_executorch_logging
2025-03-21T20:23:59.9979132Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method_meta.cpp.o
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2025-03-21T20:23:59.9981853Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_exec_aten.cpp.o
2025-03-21T20:23:59.9982827Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_portable.cpp.o
2025-03-21T20:23:59.9983539Z [ 31%] Linking CXX static library libqcir_utils.a
2025-03-21T20:23:59.9984258Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/kernel/operator_registry.cpp.o
2025-03-21T20:23:59.9984837Z [ 37%] Built target qcir_utils
2025-03-21T20:23:59.9985627Z [ 37%] Building CXX object backends/qualcomm/CMakeFiles/qnn_implementation.dir/runtime/backends/QnnImplementation.cpp.o
2025-03-21T20:23:59.9986606Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/abort.cpp.o
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2025-03-21T20:23:59.9988825Z [ 43%] Building CXX object backends/qualcomm/CMakeFiles/qnn_custom_protocol.dir/runtime/backends/QnnCustomProtocol.cpp.o
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2025-03-21T20:23:59.9990810Z [ 50%] Building CXX object backends/qualcomm/CMakeFiles/utils.dir/runtime/Utils.cpp.o
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2025-03-21T20:23:59.9992895Z [ 50%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/log.cpp.o
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2025-03-21T20:23:59.9994445Z [ 50%] Linking CXX static library libqnn_sys_implementation.a
2025-03-21T20:23:59.9994893Z [ 50%] Built target qnn_sys_implementation
2025-03-21T20:23:59.9995617Z [ 50%] Building CXX object backends/qualcomm/CMakeFiles/wrappers.dir/aot/wrappers/TensorWrapper.cpp.o
2025-03-21T20:23:59.9996429Z [ 50%] Linking CXX static library libqnn_implementation.a
2025-03-21T20:23:59.9997007Z [ 50%] Linking CXX static library libqnn_custom_protocol.a
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2025-03-21T20:24:00.0000279Z [ 50%] Linking CXX static library libutils.a
2025-03-21T20:24:00.0000944Z [ 50%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/runtime.cpp.o
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2025-03-21T20:24:00.0002964Z [ 50%] Building CXX object backends/qualcomm/CMakeFiles/qnn_logger.dir/runtime/backends/QnnLogger.cpp.o
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2025-03-21T20:24:00.0005856Z [ 56%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/default/posix.cpp.o
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2025-03-21T20:24:00.0040695Z [ 93%] Building CXX object backends/qualcomm/CMakeFiles/qnn_manager.dir/runtime/QnnManager.cpp.o
2025-03-21T20:24:00.0041666Z [100%] Building CXX object backends/qualcomm/CMakeFiles/qnn_manager.dir/aot/wrappers/TensorWrapper.cpp.o
2025-03-21T20:24:00.0042442Z [100%] Linking CXX static library libqnn_manager.a
2025-03-21T20:24:00.0042849Z [100%] Built target qnn_manager
2025-03-21T20:24:00.0043626Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnManagerAdaptor.dir/aot/python/PyQnnManagerAdaptor.cpp.o
2025-03-21T20:24:00.0044643Z [100%] Linking CXX shared module PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so
2025-03-21T20:24:00.0045214Z [100%] Built target PyQnnManagerAdaptor
2025-03-21T20:24:00.0045559Z [ 33%] Built target flatbuffers
2025-03-21T20:24:00.0045875Z [ 66%] Built target qnn_schema
2025-03-21T20:24:00.0046202Z [ 66%] Built target qnn_executorch_logging
2025-03-21T20:24:00.0046738Z [100%] Built target wrappers
2025-03-21T20:24:07.9920760Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/python/PyQnnWrapperAdaptor.cpp.o
2025-03-21T20:24:07.9922007Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/wrappers/TensorWrapper.cpp.o
2025-03-21T20:24:07.9923004Z [100%] Linking CXX shared module PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so
2025-03-21T20:24:07.9923579Z [100%] Built target PyQnnWrapperAdaptor
2025-03-21T20:24:07.9924291Z + cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python
2025-03-21T20:24:07.9925329Z + cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python
2025-03-21T20:24:07.9926004Z + popd
2025-03-21T20:24:07.9926317Z /pytorch/executorch
2025-03-21T20:24:07.9926630Z + cp schema/program.fbs exir/_serialize/program.fbs
2025-03-21T20:24:07.9927097Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
2025-03-21T20:24:07.9927494Z + PYTHON_EXECUTABLE=python
2025-03-21T20:24:07.9927841Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:24:07.9928234Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:24:07.9928569Z + source .ci/scripts/utils.sh
2025-03-21T20:24:07.9928886Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:24:07.9929226Z ++ parse_args --build-tool cmake
2025-03-21T20:24:07.9929543Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:24:07.9929846Z ++ local args
2025-03-21T20:24:07.9930186Z ++ local i
2025-03-21T20:24:07.9930474Z ++ local BUILD_TOOL=
2025-03-21T20:24:07.9930787Z ++ local BUILD_MODE=
2025-03-21T20:24:07.9931048Z ++ local EDITABLE=
2025-03-21T20:24:07.9931308Z ++ (( i=0 ))
2025-03-21T20:24:07.9931655Z ++ (( i<2 ))
2025-03-21T20:24:07.9931912Z ++ case "${args[$i]}" in
2025-03-21T20:24:07.9932252Z ++ BUILD_TOOL=cmake
2025-03-21T20:24:07.9932483Z ++ i=1
2025-03-21T20:24:07.9932721Z ++ (( i++ ))
2025-03-21T20:24:07.9933008Z ++ (( i<2 ))
2025-03-21T20:24:07.9933261Z ++ '[' -z cmake ']'
2025-03-21T20:24:07.9933527Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:24:07.9933820Z ++ BUILD_MODE=Release
2025-03-21T20:24:07.9934100Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:24:07.9934417Z ++ EDITABLE=false
2025-03-21T20:24:07.9934678Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:24:07.9934974Z ++ echo 'cmake Release false'
2025-03-21T20:24:07.9935272Z + [[ false == \t\r\u\e ]]
2025-03-21T20:24:07.9935585Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:24:07.9935927Z + which pip
2025-03-21T20:24:07.9936174Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:24:07.9936569Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:24:07.9937124Z 2025-03-21 20:24:00,831 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:24:07.9937786Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:24:07.9938620Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
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2025-03-21T20:24:07.9944002Z 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)
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2025-03-21T20:24:07.9963059Z 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)
2025-03-21T20:24:07.9964433Z 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)
2025-03-21T20:24:07.9965631Z 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)
2025-03-21T20:24:07.9966635Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:24:07.9967575Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:24:07.9968494Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:24:07.9969411Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:24:07.9970380Z 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)
2025-03-21T20:24:07.9971412Z 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)
2025-03-21T20:24:07.9972562Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:24:07.9973857Z 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)
2025-03-21T20:24:07.9975340Z 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)
2025-03-21T20:24:07.9976973Z 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)
2025-03-21T20:24:07.9978447Z 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)
2025-03-21T20:24:07.9979390Z Processing ./third-party/ao
2025-03-21T20:24:07.9979862Z   Preparing metadata (setup.py) ... [?25l- done
2025-03-21T20:24:07.9980352Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:24:07.9980879Z   Building wheel for torchao (setup.py) ... [?25l- \ | done
2025-03-21T20:24:07.9982046Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=a6432d01d21cab9001f35757d5f1232c9a81877ee7d7ed2b2282e231cd96d06c
2025-03-21T20:24:07.9983257Z   Stored in directory: /tmp/pip-ephem-wheel-cache-2t7h8ymo/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:24:07.9983964Z Successfully built torchao
2025-03-21T20:24:07.9984284Z Installing collected packages: torchao
2025-03-21T20:24:07.9984632Z   Attempting uninstall: torchao
2025-03-21T20:24:07.9984993Z     Found existing installation: torchao 0.10.0+git64bcf4c
2025-03-21T20:24:07.9985414Z     Uninstalling torchao-0.10.0+git64bcf4c:
2025-03-21T20:24:07.9985825Z       Successfully uninstalled torchao-0.10.0+git64bcf4c
2025-03-21T20:24:07.9986256Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:24:07.9986804Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-03-21T20:24:07.9987516Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:24:07.9988061Z Processing /pytorch/executorch
2025-03-21T20:24:07.9988431Z   Running command Preparing metadata (pyproject.toml)
2025-03-21T20:24:07.9988810Z   running dist_info
2025-03-21T20:24:07.9989186Z   creating /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info
2025-03-21T20:24:07.9989762Z   writing /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/PKG-INFO
2025-03-21T20:24:18.7002729Z   writing dependency_links to /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/dependency_links.txt
2025-03-21T20:24:18.7004259Z   writing entry points to /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/entry_points.txt
2025-03-21T20:24:18.7005750Z   writing requirements to /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/requires.txt
2025-03-21T20:24:18.7007140Z   writing top-level names to /tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/top_level.txt
2025-03-21T20:24:18.7008470Z   writing manifest file '/tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:18.7009742Z   reading manifest file '/tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:18.7010692Z   adding license file 'LICENSE'
2025-03-21T20:24:18.7011549Z   writing manifest file '/tmp/pip-modern-metadata-kjnd166x/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:18.7012804Z   creating '/tmp/pip-modern-metadata-kjnd166x/executorch-0.6.0a0+be92d7d.dist-info'
2025-03-21T20:24:18.7014115Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:24:18.7015568Z Requirement already satisfied: expecttest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (0.1.6)
2025-03-21T20:24:18.7017491Z Collecting flatbuffers (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:18.7019733Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-03-21T20:24:18.7022188Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
2025-03-21T20:24:18.7023855Z Requirement already satisfied: hypothesis in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (6.84.2)
2025-03-21T20:24:18.7025989Z Requirement already satisfied: mpmath==1.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (1.3.0)
2025-03-21T20:24:18.7027988Z Requirement already satisfied: numpy>=2.0.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (2.2.4)
2025-03-21T20:24:18.7030034Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (24.2)
2025-03-21T20:24:18.7031992Z Requirement already satisfied: pandas>=2.2.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (2.2.3)
2025-03-21T20:24:18.7034058Z Requirement already satisfied: parameterized in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (0.9.0)
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2025-03-21T20:24:18.7037730Z Collecting pytest-xdist (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:18.7040107Z   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
2025-03-21T20:24:18.7042543Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
2025-03-21T20:24:18.7043606Z Collecting pytest-rerunfailures (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:18.7046152Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/89/37/54e5ffc7c0cebee7cf30a3ac5915faa7e7abf8bdfdf3228c277f7c192489/pytest_rerunfailures-15.0-py3-none-any.whl.metadata
2025-03-21T20:24:18.7048550Z   Downloading pytest_rerunfailures-15.0-py3-none-any.whl.metadata (19 kB)
2025-03-21T20:24:18.7050078Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (6.0.1)
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2025-03-21T20:24:18.7055512Z Collecting tabulate (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:18.7057581Z   Obtaining dependency information for tabulate from https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl.metadata
2025-03-21T20:24:18.7059685Z   Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
2025-03-21T20:24:18.7061284Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (4.12.2)
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2025-03-21T20:24:18.7065754Z Requirement already satisfied: pytz>=2020.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pandas>=2.2.2->executorch==0.6.0a0+be92d7d) (2025.1)
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2025-03-21T20:24:18.7097679Z     build_lib = pip-out/lib.linux-x86_64-cpython-310
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2025-03-21T20:24:18.7099091Z     plat_name = linux-x86_64
2025-03-21T20:24:18.7099516Z     compiler = None
2025-03-21T20:24:18.7099781Z     parallel = 7
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2025-03-21T20:24:19.7656632Z     Make sure you cloned with tags or run 'git fetch --tags'.
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2025-03-21T20:24:19.7657807Z     CMakeLists.txt:5 (include)
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2025-03-21T20:25:00.9114264Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9115026Z   copying backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9115920Z   copying backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9116779Z   copying backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9117603Z   copying backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9118457Z   copying backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:00.9119219Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:00.9120029Z   copying backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:00.9121016Z   copying backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:00.9121799Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:00.9122528Z   copying backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:00.9123544Z   copying backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:00.9124453Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:00.9125361Z   copying backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:00.9126771Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:00.9127966Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:00.9128896Z   copying backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:00.9130060Z   copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:00.9131035Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:00.9131942Z   copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:00.9133089Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:00.9134026Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:00.9134944Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:00.9136092Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:00.9137063Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:00.9138115Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:00.9139141Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:00.9140182Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:00.9141261Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9142140Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9143485Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9144607Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9145683Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9146776Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9147903Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9149031Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9150361Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9151494Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9152796Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9153911Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9155059Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9156210Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9157309Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9158368Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9159458Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9160549Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9440772Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9441951Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9443088Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:00.9444046Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:00.9445035Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:00.9446280Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:00.9447226Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:00.9448268Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:00.9449581Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:00.9450587Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9451519Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9452533Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9453656Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9454847Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9455867Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9456892Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9457916Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:00.9458741Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:00.9459979Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:00.9461054Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:00.9461995Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9462837Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9463899Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9464983Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9465970Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9467072Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9468005Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9468972Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9470012Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9471096Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9472361Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9473534Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9474669Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9475895Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9477022Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9478016Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9479077Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9480158Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9481240Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9482250Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9483342Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9484331Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9485426Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9486538Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9487759Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9488973Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9490024Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9491099Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9492203Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9493218Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9494214Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9495351Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9496363Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9497392Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9498401Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9499432Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9500558Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9501656Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9502796Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:00.9503807Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9504713Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9505819Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9507082Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9508290Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9808041Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9809237Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9810394Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9811580Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9812849Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:00.9813767Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9814820Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9815788Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9816749Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9817708Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9818731Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9819666Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9820581Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9821605Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9822605Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9823647Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9824577Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9825574Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9826558Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9827495Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9828412Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9829452Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9830374Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9831310Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9832243Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9833152Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9834066Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9835112Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9836059Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9837035Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9837999Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9838941Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9839884Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9840862Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9842066Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9843168Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9844218Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9845221Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9846172Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9847126Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9848059Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9848972Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9849991Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9850981Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9851916Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9852900Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9853892Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9854921Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9855996Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9857000Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9857955Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:00.9858748Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9859533Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9860482Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9861568Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9862733Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9863872Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:00.9864714Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:00.9865445Z   copying backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:00.9866332Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:00.9867239Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:00.9868248Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:00.9869052Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:25:00.9869830Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:25:00.9870623Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:00.9871505Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:00.9872597Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:00.9873639Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0181468Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0182641Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0183691Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0184765Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0185894Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0187040Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:01.0187907Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0188765Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0189783Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0190769Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0191863Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0192963Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0194036Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0195080Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0196147Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0197269Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:01.0198127Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0198911Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0199824Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0200742Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0201738Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0202936Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0203877Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0204834Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0205794Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0206813Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0207766Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0208687Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0209628Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0210590Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0211549Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0212578Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0213587Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0214572Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0215531Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0216435Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0217416Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0218395Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0219320Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0220242Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0221152Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0222126Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0223170Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0224208Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0225181Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0226142Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0227082Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0228010Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0229174Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0230163Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0231131Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0232073Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0232984Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0233978Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0235032Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0235995Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0236924Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0237830Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0238834Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0239846Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0240806Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0241746Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0242706Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0243684Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0244708Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0245661Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0246591Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0472064Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0473110Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0474140Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0475088Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0476203Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0477326Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0478321Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0479220Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0480145Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0481304Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0482260Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0483460Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0484576Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0485540Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:01.0486317Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0487183Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0488265Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0489348Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0490514Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0491682Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0492800Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0493916Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0495063Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0496318Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0497488Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:01.0498415Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:25:01.0499334Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:25:01.0500258Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:01.0501119Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:01.0502275Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:01.0503303Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:01.0504308Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:01.0505152Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:25:01.0506146Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:25:01.0507106Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:25:01.0508269Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:25:01.0509474Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:25:01.0510874Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:25:01.0512607Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:25:01.0513936Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0515325Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0517227Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0518814Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0520430Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0522191Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0523813Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0525441Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0527063Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0528705Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0530369Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0532159Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0533826Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0535434Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0537046Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0538681Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0540430Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0844332Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0846177Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0847829Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0849598Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0851255Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0853104Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0854769Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0856466Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0858125Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0859894Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0861575Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0863338Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0864954Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0866801Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0868596Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0870228Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0871902Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0873808Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:01.0875113Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:25:01.0876574Z   copying backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:25:01.0877979Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:25:01.0879294Z   copying backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:25:01.0880424Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0881179Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0882235Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0883203Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0884218Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0885141Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0886275Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0887252Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0888234Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0889222Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0890176Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0891078Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0892028Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0893109Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0894022Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0894952Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0895885Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0896791Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:01.0897562Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:01.0898365Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:01.0899329Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:01.0900520Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:01.0901568Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:01.0902816Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:01.0903641Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:01.0904791Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:01.0905912Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:01.0906756Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:01.0907673Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:01.0908999Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:01.0910386Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:01.0911658Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:01.0912681Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.0913751Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.0914990Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1116803Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1118098Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1119239Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1120417Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1121722Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1122864Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:01.1123811Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:01.1124778Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:01.1125723Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:01.1126805Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:01.1128265Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:01.1129289Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:01.1130312Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:01.1131606Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:01.1133229Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:01.1134300Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:01.1135449Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:01.1136472Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:25:01.1137685Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:25:01.1138761Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:01.1139895Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:01.1141415Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:01.1142880Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:01.1144267Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:01.1145479Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:01.1146815Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:01.1148494Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:01.1150119Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:01.1151480Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:01.1152832Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:01.1154424Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:01.1156147Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:01.1157799Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:01.1159031Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:01.1160352Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:01.1162059Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:01.1163859Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:01.1165579Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:01.1166985Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:01.1168295Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:01.1169826Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:01.1171124Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:01.1172348Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:01.1173990Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:01.1175286Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1176865Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1178482Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1180115Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1181853Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1183477Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1185068Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1186661Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:01.1187926Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1189213Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1412622Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1414151Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1415687Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1417174Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1419120Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1420627Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1422118Z   copying backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1423640Z   copying backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1425245Z   copying backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1426698Z   copying backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1428212Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1429902Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1431400Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1432822Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:01.1434130Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:25:01.1435439Z   copying backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:25:01.1437008Z   copying backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:25:01.1438161Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1439260Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1440577Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1441724Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1442940Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1444138Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1445352Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1446635Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1447778Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1449032Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1450257Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:01.1451279Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:01.1452155Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:01.1453255Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:01.1454211Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:01.1455072Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:01.1456111Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:01.1457175Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:01.1458230Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:01.1459094Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1460121Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1461294Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1462477Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1463655Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1464789Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1465988Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1467133Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1468326Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1469410Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1470570Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1471678Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1472773Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1473993Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1475110Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1476383Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1477725Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1479017Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1480085Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1481234Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1482371Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1757716Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1758962Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1760106Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1761178Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1762435Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1763631Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1764735Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1765780Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:01.1766602Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1767488Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1768596Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1769734Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1770787Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1771894Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1772953Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1774146Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1775298Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1776509Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1777592Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1778647Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1779725Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1781083Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1782168Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1783215Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1784247Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1785506Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1786654Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1787677Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1788747Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1789744Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1790898Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1791904Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1793045Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1794042Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1795119Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1796313Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1797407Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1798574Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1799662Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1800691Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1801778Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1802881Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1804019Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1805089Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1806150Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1807154Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1808255Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1809660Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1810680Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1811734Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1812803Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1813858Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1815016Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1816046Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1817044Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1818120Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1819155Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1820358Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1821416Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1822458Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1823457Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1824650Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.1825726Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2141993Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2143227Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2144262Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2145367Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2146405Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2147541Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2148634Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2149728Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2150815Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2151850Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2153126Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2154218Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2155269Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2156284Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2157280Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2158302Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2159329Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2160313Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2161298Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2162408Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2163538Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2164710Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2165838Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2166910Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2167939Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2168961Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:01.2169822Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:25:01.2170741Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:25:01.2171582Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:01.2172450Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:01.2173544Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:01.2174603Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:01.2175518Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:01.2176752Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:01.2177858Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:01.2178939Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:01.2180125Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:01.2181082Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:01.2182069Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:01.2183230Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:01.2184161Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:01.2184967Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:01.2185961Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:01.2186936Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:01.2187737Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:01.2188555Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:01.2189521Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:01.2190380Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:01.2191462Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:01.2192474Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:01.2193415Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:01.2194636Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:01.2195759Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:01.2196607Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2197393Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2198376Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2199441Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2200481Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2201531Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2202605Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2203666Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2204718Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:01.2205570Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:25:01.2206545Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:25:01.2207501Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:25:01.2547863Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:25:01.2548776Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:25:01.2549616Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:25:01.2550476Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:01.2551432Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:01.2552688Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:01.2553948Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:01.2554875Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:01.2555678Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:01.2556683Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:01.2557717Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:01.2558673Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:01.2559544Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:01.2560645Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:01.2561831Z   copying backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:01.2562817Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2563895Z   copying backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2565089Z   copying backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2566313Z   copying backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2567563Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2568813Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2570107Z   copying backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:01.2571066Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:25:01.2572015Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:25:01.2573037Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2574561Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2576601Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2578259Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2579906Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2581722Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2583312Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2584927Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:01.2586336Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:25:01.2587835Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:25:01.2589321Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:25:01.2590978Z   copying backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:25:01.2592403Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2593407Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2594535Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2595765Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2596913Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2598079Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2599283Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2600419Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2601565Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2602695Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2603928Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2605146Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2606403Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2607483Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:01.2608429Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2609330Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2610512Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2611588Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2612652Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2613723Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2614864Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2615990Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2617049Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2618062Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2918825Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2919918Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2920941Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2922024Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2923197Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2924347Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2925355Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2926405Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2927460Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2928508Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2929544Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2930641Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2931778Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2933032Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2934267Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2935303Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2936331Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2937374Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2938408Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2939519Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2940550Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2941671Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2942799Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2943804Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2944927Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2945948Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2946981Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2948028Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2949055Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2950080Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2951118Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2952256Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2953337Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2954492Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2955576Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2956566Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2957603Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:01.2958582Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:01.2959444Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:01.2960607Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:01.2961567Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:01.2962461Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:01.2963670Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:01.2964605Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:01.2965576Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:01.2966876Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:01.2967824Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:01.2968771Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:01.2969818Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:01.2970699Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:01.2971656Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:01.2972596Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:01.2973397Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:01.2974368Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:01.2975410Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:01.2976560Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:01.2977460Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2978404Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2979587Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2980948Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2982271Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2983518Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2984775Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:01.2985793Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:01.3280285Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:01.3281498Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:01.3282622Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3283509Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3284559Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3285718Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3286815Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3287906Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3289012Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3290119Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3291210Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3292430Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3293503Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3294680Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3295789Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3296846Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:01.3297682Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3298502Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3299494Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3300517Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3301729Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3302763Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3303764Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3304767Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3305817Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3306887Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3307998Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3309020Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3310188Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3311184Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3312190Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3313227Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3314265Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3315316Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3316352Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3317380Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3331532Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3332656Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3333712Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3334756Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3335786Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3336837Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3337933Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3339037Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3340127Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3341257Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3342454Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3343598Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3344816Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3345895Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3347021Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3348113Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3349270Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3350350Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3351651Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3352988Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3354144Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:01.3355090Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3356143Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3357356Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3358685Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3360006Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3361407Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3501966Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3503327Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:01.3504968Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:01.3506751Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:01.3509102Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:01.3511010Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:01.3512064Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:01.3513105Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:01.3514389Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:01.3515353Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:01.3516232Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:01.3517269Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:01.3518154Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:01.3519119Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:01.3520087Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:01.3521060Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:01.3522041Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
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2025-03-21T20:25:01.3524291Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
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2025-03-21T20:25:01.3530293Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:25:01.3531398Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:25:01.3532506Z   copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:25:01.3533621Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:01.3534746Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:01.3536163Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:01.3537662Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:01.3539156Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:01.3540281Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3541527Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3543005Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3544494Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3546022Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3547562Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3549079Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3550529Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3552096Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3553586Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3555046Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3556475Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3557943Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3559451Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3561002Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3562545Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3564002Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3565421Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3566854Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3568296Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3569769Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3571453Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.3573004Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4017107Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4018756Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4020194Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4021815Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4023311Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:01.4024416Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:01.4025831Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:01.4027533Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:01.4029171Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:01.4030405Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:25:01.4031742Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:25:01.4032730Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:25:01.4033333Z   copying codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:25:01.4034073Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4034732Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4035583Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4036387Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4037216Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4038193Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4039044Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4039827Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:01.4040645Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:01.4041428Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:01.4042418Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:01.4043374Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:01.4044564Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:01.4045471Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4046393Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4047534Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4048646Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4049776Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4050791Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:01.4051743Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4052584Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4053803Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4054904Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4056072Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4057091Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:01.4057976Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:01.4058736Z   copying examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:01.4059603Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:01.4060446Z   copying examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:01.4061432Z   copying examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:01.4062323Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:01.4063160Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:01.4064271Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:01.4065079Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:01.4065833Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:01.4066714Z   copying examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:01.4067705Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:01.4068631Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:01.4069869Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:01.4070905Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:01.4071884Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:01.4072944Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:01.4073792Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:01.4074834Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:01.4076139Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:01.4077141Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:01.4078155Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:01.4079295Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:01.4080126Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4080937Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4082153Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4083271Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4084228Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4085328Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4086350Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4336262Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4337303Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4338336Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4339318Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4340273Z   copying examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4341348Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4342264Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4343151Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4344090Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:01.4344955Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:25:01.4345892Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:25:01.4346735Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:01.4347506Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:01.4348434Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:01.4349414Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:01.4350337Z   copying examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:01.4351107Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:01.4351904Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:01.4352790Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:01.4353568Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:01.4354407Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:01.4355400Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:01.4356242Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:01.4357338Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:01.4358401Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:01.4359245Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:01.4360148Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:01.4361168Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:01.4362026Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:25:01.4362958Z   copying examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:25:01.4363863Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4364741Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4365722Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4366746Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4367782Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4368789Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:01.4369700Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:01.4370587Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:01.4371613Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:01.4372466Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:01.4373252Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:01.4374217Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:01.4375032Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:01.4375969Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:01.4376909Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:01.4377684Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:01.4378435Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:01.4379340Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:01.4380166Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:01.4381113Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:01.4382536Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:01.4383599Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:01.4384797Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:01.4385825Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:01.4386632Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:01.4387471Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:01.4388464Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:01.4389410Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4390860Z   copying examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4392367Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4393843Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4395533Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4397016Z   copying examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4398445Z   copying examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:01.4399543Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:01.4400422Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:01.4401689Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:01.4402682Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:01.4599322Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:01.4600628Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:01.4601857Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:01.4603076Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:01.4604031Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:01.4604882Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:01.4605948Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:01.4607072Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:01.4608086Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4609487Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4610850Z   copying examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4612241Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4613719Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4615055Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4616394Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4617767Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4619106Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4620541Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4622060Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4623369Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4624657Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4625965Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4627336Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4628738Z   copying examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4630207Z   copying examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4631628Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:01.4632637Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:01.4633597Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:01.4634879Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:01.4636000Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:01.4636923Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:25:01.4637971Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:25:01.4638951Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:01.4639999Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:01.4641308Z   copying examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:01.4642624Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:01.4643923Z   copying examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:01.4644991Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:01.4645972Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:01.4647247Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:01.4648476Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:01.4649687Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:01.4650695Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:25:01.4651763Z   copying examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:25:01.4652825Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:25:01.4653909Z   copying examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:25:01.4655223Z   copying examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:25:01.4656305Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:25:01.4657425Z   copying examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:25:01.4658850Z   copying examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:25:01.4660129Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:25:01.4661343Z   copying examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:25:01.4662803Z   copying examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:25:01.4663896Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:01.4664755Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:01.4666032Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:01.5076696Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:25:01.5078116Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:25:01.5078887Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5079455Z   copying exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5080136Z   copying exir/_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5080763Z   copying exir/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5081531Z   copying exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5082196Z   copying exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5082837Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5083508Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5084281Z   copying exir/error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5084889Z   copying exir/graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5085570Z   copying exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5086277Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5086967Z   copying exir/memory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5087678Z   copying exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5088348Z   copying exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5089108Z   copying exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5089771Z   copying exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5090487Z   copying exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5091110Z   copying exir/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5091791Z   copying exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5092459Z   copying exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5093065Z   copying exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5093674Z   copying exir/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5094294Z   copying exir/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5095027Z   copying exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:01.5095615Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5096316Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5097115Z   copying exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5097937Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5098799Z   copying exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5099740Z   copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5100790Z   copying exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5101729Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5102659Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5103514Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:01.5104192Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5104867Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5105787Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5106630Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5107553Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5108418Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5109244Z   copying exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:01.5109898Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:01.5110539Z   copying exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:01.5111292Z   copying exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:01.5112168Z   copying exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:01.5112920Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:01.5113636Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:01.5114299Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:01.5115164Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:01.5115804Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:01.5116522Z   copying exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:01.5117246Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:01.5118017Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:01.5118660Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:01.5119383Z   copying exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:01.5120214Z   copying exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:01.5121070Z   copying exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:01.5121735Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5122380Z   copying exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5123252Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5124362Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5125320Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5126287Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5127328Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5128199Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5129123Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5130134Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5131042Z   copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5131927Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5132956Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5133808Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5134797Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5135703Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5136609Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5137446Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5138384Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5139189Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5140051Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5140962Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5141985Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5142844Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5525358Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5526370Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5527273Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5528188Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5529240Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5530054Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5530869Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5531686Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5532528Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:01.5533253Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:01.5533958Z   copying exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:01.5534948Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:01.5535735Z   copying exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:01.5536400Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5537033Z   copying exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5537792Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5538547Z   copying exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5539267Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5540014Z   copying exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5540742Z   copying exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5541538Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:01.5542181Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5542824Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5543545Z   copying exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5544300Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5545124Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5545942Z   copying exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5546702Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5547485Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5548230Z   copying exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5548966Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5549752Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5550614Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5551435Z   copying exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5552191Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5553024Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5553910Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5554813Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5555682Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5556482Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5557256Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5558012Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5558787Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5559777Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5560643Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5561463Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5562279Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5563141Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5564000Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5564736Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5565466Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5566245Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5567030Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5567793Z   copying exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:01.5568482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:01.5569287Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:01.5570153Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:01.5571031Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:01.5571926Z   copying exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:01.5572671Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5573413Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5574386Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5575294Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5576414Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5577359Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:01.5578199Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:01.5579253Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:01.5580583Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:01.5581995Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:01.5583314Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:01.5584260Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5585071Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5586366Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5587401Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5588382Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5589325Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5936678Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5937846Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5938952Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5939982Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5940983Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5941980Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5942927Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5943888Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5944863Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5945847Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5946933Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5947839Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5948783Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:01.5949544Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:01.5950407Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:01.5951474Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:01.5952347Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:01.5953300Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:01.5954516Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:01.5955631Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:01.5956463Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:25:01.5957219Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:25:01.5957961Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:01.5958827Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:01.5959628Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:25:01.5960407Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:25:01.5961231Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:25:01.5962115Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:25:01.5962974Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:01.5963754Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:01.5964670Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:01.5965448Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:01.5966249Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:01.5967242Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:01.5968290Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:01.5969075Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:01.5969866Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:01.5970828Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:01.5971764Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:01.5972547Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:01.5973480Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:01.5974267Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:01.5975088Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:01.5976260Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:01.5977094Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:01.5978021Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:01.5978829Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:25:01.5979521Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:25:01.5980227Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:25:01.5980987Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:25:01.5981813Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:01.5982650Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:01.5983525Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:01.5984428Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:01.5985402Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:25:01.5986230Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:25:01.5987051Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:25:01.5987839Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:25:01.5988697Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:01.5989454Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:01.5990338Z   copying extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:01.5991088Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:25:01.5991854Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:25:01.5992601Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:01.5993413Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:01.5994360Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:01.5995236Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:01.5995979Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:01.5996775Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:01.5997552Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:25:01.5998270Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:25:01.5998975Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:25:01.5999792Z   copying extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:25:01.6000577Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:01.6001472Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:01.6273655Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:01.6274853Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:01.6275916Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:25:01.6276790Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:25:01.6277665Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:25:01.6278576Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:25:01.6279471Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6280275Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6281239Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6282462Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6283468Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6284514Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6285589Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6286671Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6287714Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:01.6288543Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6289301Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6290192Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6291126Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6292088Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6293053Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6294018Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:01.6294817Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:01.6295592Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:01.6296545Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:01.6297522Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:01.6298437Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:01.6299212Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:01.6300005Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:01.6300970Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:01.6302044Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:01.6303010Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:01.6303811Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:25:01.6304618Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:25:01.6305482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:25:01.6306506Z   copying extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:25:01.6307885Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:25:01.6309572Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:25:01.6311341Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:25:01.6312398Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:01.6313260Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:01.6314311Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:01.6315368Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:01.6316788Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:01.6317974Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:25:01.6318869Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:25:01.6319943Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:01.6321266Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:01.6322829Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:01.6324497Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:01.6326032Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:01.6327188Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:25:01.6328727Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:25:01.6330541Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:25:01.6331827Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-03-21T20:25:01.6333163Z   copying extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-03-21T20:25:01.6334912Z   copying extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-03-21T20:25:01.6336093Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-03-21T20:25:01.6337427Z   copying extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-03-21T20:25:01.6338724Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-03-21T20:25:01.6340152Z   copying extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-03-21T20:25:01.6342023Z   copying extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-03-21T20:25:01.6343571Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts
2025-03-21T20:25:01.6506627Z   copying extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts
2025-03-21T20:25:01.6508086Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl
2025-03-21T20:25:01.6509535Z   copying extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl
2025-03-21T20:25:01.6510946Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate
2025-03-21T20:25:01.6512404Z   copying extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate
2025-03-21T20:25:01.6513799Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-03-21T20:25:01.6515237Z   copying extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-03-21T20:25:01.6516651Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis
2025-03-21T20:25:01.6518302Z   copying extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis
2025-03-21T20:25:01.6519700Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header
2025-03-21T20:25:01.6521052Z   copying extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header
2025-03-21T20:25:01.6522342Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog
2025-03-21T20:25:01.6523542Z   copying extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog
2025-03-21T20:25:01.6524759Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-03-21T20:25:01.6526058Z   copying extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-03-21T20:25:01.6527716Z   copying extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-03-21T20:25:01.6529248Z   copying extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-03-21T20:25:01.6530449Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-03-21T20:25:01.6531789Z   copying extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-03-21T20:25:01.6533574Z   copying extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-03-21T20:25:01.6535186Z   copying extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-03-21T20:25:01.6536479Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains
2025-03-21T20:25:01.6537915Z   copying extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains
2025-03-21T20:25:01.6539363Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python
2025-03-21T20:25:01.6540786Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python
2025-03-21T20:25:01.6542314Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
2025-03-21T20:25:01.6543783Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
2025-03-21T20:25:01.6545679Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
2025-03-21T20:25:01.6547415Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:01.6549101Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:01.6551321Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:01.6553563Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:01.6555861Z   copying extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:01.6557373Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:25:01.6558426Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:25:01.6559523Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:01.6560445Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:01.6561520Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:01.6562626Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:01.6563546Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:25:01.6564297Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:25:01.6565088Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:01.6566226Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:01.6567158Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:01.6568103Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:01.6569240Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:01.6570229Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:25:01.6571306Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:25:01.6572381Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:25:01.6573340Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:25:01.6574226Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:01.6574950Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:01.6575852Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:01.6576696Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:01.6577887Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:01.6578802Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:25:01.6830756Z   copying devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:25:01.6831701Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:01.6832494Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:01.6833460Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:01.6834294Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6835184Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6836157Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6837114Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6837915Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:01.6838703Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:01.6839621Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:01.6840370Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:01.6841093Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:01.6841946Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:01.6842200Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:01.6842690Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:01.6843203Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:01.6843484Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:01.6843852Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:01.6844247Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:01.6844656Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:01.6845075Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:01.6845355Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:01.6845856Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:01.6846349Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:01.6846621Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:01.6847047Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:01.6847536Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:01.6848029Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:01.6848319Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:25:01.6848830Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:25:01.6849125Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:01.6849610Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:01.6850158Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:01.6850484Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:01.6850988Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:01.6851285Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6851785Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6852275Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6852753Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6853049Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:01.6853516Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:01.6853837Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:01.6854471Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:01.6854857Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:01.6855462Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:01.6855717Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:25:01.6856166Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:25:01.6856430Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:25:01.6856894Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:25:01.6857159Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:01.6857648Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:01.6858113Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:01.6858600Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:01.6859028Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6859434Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6859870Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:01.6860344Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:01.6860911Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:01.6861499Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:01.6862011Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6862489Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6862977Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:01.6863448Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:01.6864011Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:01.6864597Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:01.6864806Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:25:01.6865083Z   copying runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:25:01.6865312Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:25:01.6865660Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:25:01.6865859Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:02.4773806Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:02.4774606Z   copying util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:02.4775285Z   copying util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:02.4775953Z   running egg_info
2025-03-21T20:25:02.4776224Z   creating executorch.egg-info
2025-03-21T20:25:02.4776558Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:25:02.4777022Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:25:02.4777709Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:25:02.4778202Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:25:02.4778678Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:25:02.4779166Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:02.4779651Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:02.4780058Z   adding license file 'LICENSE'
2025-03-21T20:25:02.4780430Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:02.4781271Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:25:02.4782371Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:02.4783495Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:25:02.4784661Z   copying backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:25:02.4785849Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:02.4786836Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:02.4787827Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:02.4788911Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:02.4789947Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:02.4790752Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:02.4791771Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:02.4792704Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4793789Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4795256Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4796615Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4797926Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4799194Z   copying backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4800821Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4802221Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4803603Z   copying backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4805013Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4806461Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4807754Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4809053Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4810325Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4811594Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4812998Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4814398Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4815814Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4817224Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4818691Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4820019Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4821515Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4822950Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4824351Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4825728Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4827087Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4828372Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4829619Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4831082Z   copying backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4832516Z   copying backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4833838Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4835186Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4836543Z   copying backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4837924Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4839263Z   copying backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4840684Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.4842190Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5010728Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5012039Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5013513Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5015041Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5016606Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5018109Z   copying backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5019558Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5021059Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5022776Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5024474Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5026155Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5027924Z   copying backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5029644Z   copying backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5031474Z   copying backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5054279Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5055957Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5057563Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5059237Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5060934Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5062597Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5064171Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5065848Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5067553Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5069024Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5070633Z   copying backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5072199Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.5073458Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:25:02.5074407Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:25:02.5075563Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5076861Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5078327Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5079830Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5081151Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5082706Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5084160Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.5085364Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.5086811Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.5088338Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:02.5089588Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:02.5091022Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:02.5092554Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:25:02.5093950Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:25:02.5095732Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:02.5097468Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:25:02.5098909Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5100251Z   copying backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5102050Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5103861Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5105658Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5107374Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5109185Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5111241Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5112690Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5114275Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5115817Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5117199Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5118922Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5120554Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5122398Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5124070Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5125551Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5127116Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5129021Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5130489Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5132121Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5133708Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5135507Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5136912Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5138493Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5139873Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5141562Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5143024Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5144682Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5146329Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5147719Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5149272Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5150621Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5152184Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5153586Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5155331Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5156744Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5158334Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5159732Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5161298Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5162750Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5164358Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5165684Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5167085Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5168400Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5169844Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5171201Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5172618Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5174167Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5175759Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5177508Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5178961Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5180652Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5182416Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5184191Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5186106Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5187993Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5189554Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5254944Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5256563Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5258054Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5259631Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5261261Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5262945Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5264427Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5266137Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5267780Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5269326Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5270735Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5272065Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5273519Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5274888Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5276446Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5277784Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5279094Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:02.5280926Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5282607Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5284321Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5285907Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5287640Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5289399Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5290931Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5292635Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5294387Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5295857Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5297507Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5298993Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5300792Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5302510Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5304146Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5305614Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5307167Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5308785Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5310468Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5312114Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5313692Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5315573Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5317342Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5319181Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:02.5320903Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:02.5322459Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:02.5324238Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:02.5325804Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:25:02.5327124Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:02.5328412Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:02.5329524Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:02.6057962Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:02.6058951Z   copying exir/delegate.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:02.6059967Z   copying exir/_serialize/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:02.6060796Z   copying exir/_serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:02.6061920Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:02.6062980Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:02.6064107Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:02.6065486Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:02.6067045Z   copying extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-03-21T20:25:02.6069007Z   copying extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-03-21T20:25:02.6070750Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:02.6071800Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:02.6073062Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:02.6073928Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:02.6074570Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:02.6075871Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:02.6076764Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:02.6077860Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:02.6079310Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:02.6080772Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:02.6082058Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:02.6083562Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:02.6084499Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:25:02.6085411Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:25:02.6086508Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:02.6087888Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:02.6088759Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake
2025-03-21T20:25:02.6089631Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:25:02.6090826Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6091651Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6092771Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6093701Z   copying runtime/core/defines.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6094660Z   copying runtime/core/error.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6095648Z   copying runtime/core/evalue.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6096572Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6097700Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6098734Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6099755Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6100916Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6102162Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6103302Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6104424Z   copying runtime/core/result.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6105592Z   copying runtime/core/span.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6106736Z   copying runtime/core/tag.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6107660Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6108872Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:02.6109921Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:25:02.6110998Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:25:02.6112156Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:25:02.6113500Z   copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:25:02.6114864Z   copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:25:02.6116155Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6117195Z   copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6118596Z   copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6119867Z   copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6121340Z   copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6122782Z   copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:02.6123818Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6124884Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6126081Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6127277Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6128529Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6129748Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6262768Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6263970Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6265160Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6266616Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6267799Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6269094Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6270523Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6271965Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6273498Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:02.6274893Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:25:02.6276519Z   copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:25:02.6278429Z   copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:25:02.6280104Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6281637Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6283685Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6285490Z   copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6287464Z   copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6289420Z   copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6291349Z   copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6293131Z   copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6295448Z   copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6297556Z   copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:02.6299022Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:02.6300221Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:02.6301784Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:02.6303257Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:02.6305069Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:02.6306428Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:25:02.6307645Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:25:02.6308910Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6310042Z   copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6311429Z   copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6312755Z   copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6314245Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6315633Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6317016Z   copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6318412Z   copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6319778Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6321153Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6322411Z   copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6323937Z   copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:02.6325262Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:02.6326651Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:02.6327960Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:02.6329396Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:02.6331160Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:02.6332752Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:02.6334011Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:02.6335355Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:02.6336858Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:02.6338504Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:02.6340025Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:02.6341428Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:02.6343093Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:02.6344641Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:02.6346320Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:02.6347388Z   running build_ext
2025-03-21T20:25:02.6348090Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:25:02.6349081Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:25:02.6350411Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:25:02.6352409Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers/flatc -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:25:02.6684937Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:02.6688015Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:02.6691164Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:02.6693181Z   installing to pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:02.6693825Z   running install
2025-03-21T20:25:02.6694241Z   running install_lib
2025-03-21T20:25:02.6694719Z   creating pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:02.6695404Z   creating pip-out/bdist.linux-x86_64/wheel/executorch
2025-03-21T20:25:02.6696230Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends
2025-03-21T20:25:02.6697131Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2025-03-21T20:25:02.6698700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6700862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6703097Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6705373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6707658Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6709882Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6712029Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6714260Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6716520Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6719175Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6721445Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:25:02.6723067Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes
2025-03-21T20:25:02.6724824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6727455Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6730135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6732778Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6735209Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6737688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6740211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6742955Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6745699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6748380Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6751007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6753584Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6756175Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6758766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6761330Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6763939Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6766545Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6769170Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6772022Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6774625Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6777358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6780065Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6782759Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6785461Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6788081Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6790652Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6793262Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6795869Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6798352Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6800936Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6803517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6806142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6808633Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6811078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6813661Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6816259Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6818924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6821712Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:25:02.6824014Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support
2025-03-21T20:25:02.6825927Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6828694Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6831576Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6834434Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6837263Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6840102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6842928Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6845758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6848642Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:25:02.6850705Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2025-03-21T20:25:02.6852506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6855003Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6857529Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6859909Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6862444Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6864917Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6867368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6869876Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6872349Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6874806Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6877678Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6880249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6882783Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6885263Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6887695Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6890189Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6892610Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6895077Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6897558Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6899975Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6902511Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6904917Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6907406Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6909892Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6912374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6914894Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6917366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6919925Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6922472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6924996Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6927533Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6930309Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6932793Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6935304Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6937770Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6940244Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6942780Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6945277Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6947734Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6950304Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6952883Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6955452Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6958049Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6960574Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6963082Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:25:02.6964875Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer
2025-03-21T20:25:02.6966639Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:25:02.6969198Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:25:02.6971820Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:25:02.6974484Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:25:02.6977371Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:25:02.6979242Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2025-03-21T20:25:02.6981075Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:25:02.6983562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:25:02.6985888Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:25:02.6988182Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/test_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:25:02.6989872Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:25:02.6991711Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.6994330Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.6996906Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.6999551Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7002174Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7004875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7007567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7010320Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7013118Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:25:02.7014997Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models
2025-03-21T20:25:02.7016892Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_conformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7019532Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7022218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7024815Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7027525Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7030291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7032993Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7035999Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7038715Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:25:02.7040572Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2025-03-21T20:25:02.7042333Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7044777Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7047275Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7049792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7052273Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7054773Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7057373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7059916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7062487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7064883Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7067348Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7069772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7072256Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7074826Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7077443Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7079922Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7082430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7084971Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7087714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7090137Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7092545Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7095025Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7097424Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7099873Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7102386Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7104877Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7107480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7110050Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7112611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7115032Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7117497Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7119960Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7122393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7124880Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7127362Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7129843Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7132336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7134853Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7137322Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7139972Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7142467Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7144931Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7147515Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7150045Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7152526Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7155040Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7157538Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7160059Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7162575Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7165126Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7167667Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7170294Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7172827Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7175331Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7177990Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7180472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7183063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7185508Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7187957Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7190423Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7193198Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7195800Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7198387Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7200832Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:25:02.7202636Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes
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2025-03-21T20:25:02.7207356Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7210078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7212850Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7215681Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7218536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7221478Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7224372Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7227183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7230047Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:02.7232164Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer
2025-03-21T20:25:02.7234195Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/quantizer
2025-03-21T20:25:02.7236237Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
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2025-03-21T20:25:02.7240678Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:25:02.7243358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:25:02.7246285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:25:02.7248215Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
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2025-03-21T20:25:02.7251925Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/util
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2025-03-21T20:25:02.7270125Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
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2025-03-21T20:25:02.7279716Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7283400Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7287203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7291024Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7294763Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7298626Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7302709Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7306358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7310224Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:25:02.7321699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7325351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7328923Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7332611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7336335Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:25:02.7347668Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7351288Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:25:02.7358859Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7362652Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7366257Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7369856Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7373505Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:25:02.7380869Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7384645Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7388572Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7392502Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:02.7396345Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:25:02.7451736Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:02.7454562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:02.7457452Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
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2025-03-21T20:25:02.7463272Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:02.7466075Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:02.7468929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:02.7470889Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek
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2025-03-21T20:25:02.7475109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
2025-03-21T20:25:02.7477688Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
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2025-03-21T20:25:02.7484124Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/_passes
2025-03-21T20:25:02.7486255Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/quantizer
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2025-03-21T20:25:02.7490887Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:25:02.7493611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
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2025-03-21T20:25:02.7498316Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm
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2025-03-21T20:25:02.7506406Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7509178Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7511896Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7514595Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7517331Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7520183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7523233Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7526026Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7528621Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7531400Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7534188Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7536998Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7539730Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7542500Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7545247Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7547906Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7550634Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7553437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7556305Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7559087Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7561792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7564550Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7567159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7569733Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7572468Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7575137Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7578051Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:25:02.7579858Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7581739Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7584364Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7586972Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7589573Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7592285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7594851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7597473Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7600148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7602841Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7605487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7608028Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7610604Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7613134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7615723Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7618351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7620978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7623777Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7626427Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7629136Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7631862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7634428Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7637052Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7639652Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7642316Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7644837Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7647483Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7650102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7652787Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7655526Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7658287Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7660874Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7663601Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7666270Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7668990Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7671630Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7674232Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7676876Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7679440Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7682149Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7685114Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7687720Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7690342Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7692924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7695592Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7698221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7700791Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7703451Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7706042Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7708652Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7711206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7713826Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7716430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7719106Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7721785Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7724439Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7727122Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7729792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7732449Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7735151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7738421Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7741349Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7744118Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7747067Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7749878Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7752734Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7755695Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7758487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7761409Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7764204Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7767131Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7769971Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7772471Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7775225Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7778197Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7781031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7784173Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7787207Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7790020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7792967Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7796092Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:25:02.7798181Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/debugger
2025-03-21T20:25:02.7800229Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/debugger
2025-03-21T20:25:02.7802197Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition
2025-03-21T20:25:02.7804370Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:25:02.7807273Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:25:02.7810202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:25:02.7812384Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:02.7814388Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:25:02.7817350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:25:02.7820234Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:25:02.7823227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:25:02.7825582Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:02.7828127Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:02.7830755Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2025-03-21T20:25:02.7834045Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:25:02.7837481Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:25:02.7840834Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:25:02.7842972Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2025-03-21T20:25:02.7845876Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:25:02.7848942Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:25:02.7851577Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:25:02.7853686Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils
2025-03-21T20:25:02.7855878Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:25:02.7859122Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:25:02.7861024Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot
2025-03-21T20:25:02.7862354Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:02.7864378Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:02.7866318Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
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2025-03-21T20:25:02.7870838Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7873517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7876347Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7879104Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7881960Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7884797Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7887525Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_dequant_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7890256Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7892999Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7895574Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7898310Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7901259Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7903974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7906689Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:02.7908886Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test
2025-03-21T20:25:02.7911302Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-03-21T20:25:02.7914662Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-03-21T20:25:02.7917685Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-03-21T20:25:02.7919669Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2025-03-21T20:25:02.7921433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:02.7923893Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:02.7926413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:02.7928815Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:02.7931226Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:02.7933232Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes
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2025-03-21T20:25:02.7937922Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7940756Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7943625Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7946434Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7949373Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7972472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7975194Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:25:02.7977283Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
2025-03-21T20:25:02.7979321Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/partitioner
2025-03-21T20:25:02.7981384Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer
2025-03-21T20:25:02.7983332Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/quantizer
2025-03-21T20:25:02.7985248Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime
2025-03-21T20:25:02.7987418Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime
2025-03-21T20:25:02.7989360Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph
2025-03-21T20:25:02.7990606Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-03-21T20:25:02.7991918Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.7994199Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.7997489Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8000833Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8003981Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8007115Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8010312Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8013531Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8016876Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8020211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8023527Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8026669Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8029795Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8032824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8035969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8039161Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8042784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8046188Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8049584Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8052819Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8056019Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8059432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8062912Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8066159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8069395Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8072673Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8075973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8082091Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8085323Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8088502Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8091796Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8095102Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8098461Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8101870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8105269Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8108559Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8114923Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8118037Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8121244Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8124426Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8127617Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8137262Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8140486Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8143872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8147199Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8150597Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8153974Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8157497Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8160772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8163919Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8170365Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8173537Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8176859Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8183399Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8186574Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:02.8189792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:25:02.8212714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test
2025-03-21T20:25:02.8215372Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test
2025-03-21T20:25:02.8217339Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests
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2025-03-21T20:25:02.8222064Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:02.8225042Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests
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2025-03-21T20:25:02.8232344Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils
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2025-03-21T20:25:02.8238409Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:02.8241369Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:02.8244363Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils
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2025-03-21T20:25:02.8250295Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party
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2025-03-21T20:25:02.8263694Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:02.8267359Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:02.8270903Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:02.8274325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:02.8277792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:02.8281219Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
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2025-03-21T20:25:02.8306511Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.8309556Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.8312478Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.8315586Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.8318839Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:02.8320967Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack
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2025-03-21T20:25:02.8324956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack
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2025-03-21T20:25:02.8331223Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8334055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8336769Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8339371Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8342185Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8344913Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8347469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8350218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8352895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8355517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8358132Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:25:02.8360740Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes
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2025-03-21T20:25:02.8367135Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8369964Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8372608Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8375206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8378063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8380755Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8383413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8386036Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8388665Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8391305Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8393944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8396654Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8399595Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8402329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8404920Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8407549Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8410268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8412982Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8415664Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8418473Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8421291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8424147Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8426916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8429587Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8432253Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8434958Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8437684Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8440351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8443037Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8445739Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8448462Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8451096Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8453792Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8456421Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8459077Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8461868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8464527Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8467227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8469918Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8472637Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8475403Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8478660Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8481543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8484142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8486744Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:25:02.8488687Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
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2025-03-21T20:25:02.8493354Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:25:02.8495450Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8497514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8500458Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8503639Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8506681Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8509726Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8512821Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:25:02.8515022Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:02.8517183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:02.8520159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:02.8522067Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:02.8523978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:25:02.8526827Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:25:02.8528889Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.8531023Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.8534296Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.8537330Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.8540202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:25:02.8542217Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:25:02.8544056Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:25:02.8546758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:25:02.8548717Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8550671Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8553389Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8556127Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8558953Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8561767Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8564591Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8567394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8570190Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8572959Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8575854Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8578615Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8581432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8584148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:25:02.8586048Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8588254Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8590845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8593471Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8596181Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8598809Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8601412Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8604005Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8606714Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8609445Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8612073Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8614774Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8617354Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8619836Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8622495Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8625130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8627851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8630466Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8633142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8635747Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8638302Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8641212Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8643911Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8646551Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8649154Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8651833Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8654526Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8657203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8659823Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8662500Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8665167Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8667934Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8670498Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8673060Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8675873Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8678517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8681239Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8683867Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8686480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8689236Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8691961Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:25:02.8694129Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8696211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8699142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8702118Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8705148Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8708121Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8711069Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8714049Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:25:02.8716186Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:02.8718272Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:02.8721341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:02.8724392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
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2025-03-21T20:25:02.9208021Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9210880Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9213705Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9216550Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9219427Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9222371Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9225198Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9227924Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9230704Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9233460Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9236157Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9238905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9241664Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9244393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9247130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9250098Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:25:02.9252091Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition
2025-03-21T20:25:02.9253992Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:25:02.9256764Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:25:02.9258820Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:25:02.9260951Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:25:02.9264068Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:25:02.9267056Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:25:02.9269078Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:25:02.9270899Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9273441Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9276231Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9278806Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9281459Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9284067Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9286700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:25:02.9288562Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:25:02.9290439Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:25:02.9293007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:25:02.9294885Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml
2025-03-21T20:25:02.9296072Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:02.9298046Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:25:02.9300996Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:25:02.9303188Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition
2025-03-21T20:25:02.9305105Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:25:02.9307811Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:25:02.9309817Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:02.9311718Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:02.9314432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:02.9316368Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
2025-03-21T20:25:02.9318288Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:25:02.9321003Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:25:02.9322926Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime
2025-03-21T20:25:02.9324199Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:02.9326365Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:02.9328478Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:02.9330601Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:02.9333382Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml
2025-03-21T20:25:02.9335176Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence
2025-03-21T20:25:02.9336163Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2025-03-21T20:25:02.9337816Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9340131Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9342573Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9344973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9347337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9349666Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9352315Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9354772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9357206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9359635Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9361968Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9364379Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9366796Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9369155Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9371535Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9373892Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9376348Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9378096Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:02.9380029Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:02.9382801Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:02.9385475Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:02.9388132Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:02.9390020Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9391929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9394588Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9397220Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9399878Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9402853Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9405563Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9408260Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9410966Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:25:02.9413535Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9416007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9418505Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:25:02.9420292Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime
2025-03-21T20:25:02.9422105Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:25:02.9424527Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:25:02.9427004Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:25:02.9429439Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:25:02.9431176Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
2025-03-21T20:25:02.9432907Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:25:02.9435328Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:25:02.9437722Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:25:02.9439539Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:02.9441470Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:02.9443481Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/calibrator
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2025-03-21T20:25:02.9448711Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:02.9450933Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:02.9453262Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:02.9456481Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:02.9459612Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:02.9461880Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:02.9463949Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:02.9466102Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen
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2025-03-21T20:25:02.9470846Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:02.9473460Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:02.9477069Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:02.9480653Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:02.9483302Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:02.9485872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:02.9489439Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:02.9493015Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:02.9496637Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:02.9499251Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
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2025-03-21T20:25:02.9505357Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:02.9509000Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:02.9512604Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:02.9515099Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:02.9517499Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:02.9520779Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:02.9523197Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:02.9525692Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:02.9529236Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:02.9531889Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:25:02.9538191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9541900Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9545363Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9548950Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9552577Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9556191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:02.9558755Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/specdb
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2025-03-21T20:25:02.9564121Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:02.9567594Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:02.9570784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:02.9573080Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test
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2025-03-21T20:25:02.9577025Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9580503Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9584107Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9587591Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9591059Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9594509Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9597888Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9601251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9604679Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9608046Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9611375Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9614858Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9618324Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9622003Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9625465Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:02.9627621Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen
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2025-03-21T20:25:02.9634150Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9636387Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9638572Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9640850Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9643165Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9645329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/yaml_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools
2025-03-21T20:25:02.9646928Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools/test
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2025-03-21T20:25:02.9651062Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-03-21T20:25:02.9653566Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-03-21T20:25:02.9656189Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test
2025-03-21T20:25:02.9657993Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples
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2025-03-21T20:25:02.9665769Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama
2025-03-21T20:25:02.9668536Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/run.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama
2025-03-21T20:25:02.9671089Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama
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2025-03-21T20:25:02.9869514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess
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2025-03-21T20:25:02.9872777Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:02.9874185Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:02.9875838Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:02.9876507Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder
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2025-03-21T20:25:02.9878500Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test
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2025-03-21T20:25:02.9885277Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder
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2025-03-21T20:25:02.9889218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test
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2025-03-21T20:25:02.9893056Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/image_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava
2025-03-21T20:25:02.9894186Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava
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2025-03-21T20:25:02.9897052Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test/test_pte.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava/test
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2025-03-21T20:25:02.9952705Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:02.9966734Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:02.9967784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:02.9968733Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:02.9969182Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2025-03-21T20:25:02.9970175Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:25:02.9971241Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:25:02.9972369Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:25:02.9973541Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:25:02.9974641Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:25:02.9975803Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:02.9976835Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:02.9977208Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2025-03-21T20:25:02.9978199Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9979215Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9980264Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9981341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9982374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9983289Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:02.9983863Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:02.9985291Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:02.9986822Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:02.9988334Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:02.9989993Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:02.9990531Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2025-03-21T20:25:02.9991719Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:02.9992996Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:02.9994200Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0014098Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0015342Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0016422Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0017661Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0018748Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0019886Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0021079Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0022289Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0023448Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0024614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0025738Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0026947Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0028068Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0029145Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0030202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:25:03.0030653Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:25:03.0031900Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:25:03.0033370Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:25:03.0033868Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:03.0035279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:03.0036684Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:03.0037933Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:03.0038332Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2025-03-21T20:25:03.0039247Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:03.0040150Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:03.0041046Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:03.0041919Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:03.0042312Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2025-03-21T20:25:03.0043223Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:25:03.0044150Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:25:03.0044571Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2025-03-21T20:25:03.0045581Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend
2025-03-21T20:25:03.0046052Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:25:03.0047243Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend/test
2025-03-21T20:25:03.0047659Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2025-03-21T20:25:03.0048603Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:25:03.0049053Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:25:03.0050096Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:25:03.0051155Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:25:03.0051598Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:03.0052708Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:25:03.0053825Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:25:03.0055118Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:25:03.0055545Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:25:03.0056565Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:25:03.0057664Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:25:03.0058126Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:03.0059281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op/test
2025-03-21T20:25:03.0059715Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:25:03.0060770Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:25:03.0061903Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:25:03.0062363Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:25:03.0063492Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:25:03.0064780Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:25:03.0065799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:25:03.0066231Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2025-03-21T20:25:03.0067334Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/test
2025-03-21T20:25:03.0067686Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2025-03-21T20:25:03.0068533Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:25:03.0069396Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:25:03.0070251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:25:03.0070657Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2025-03-21T20:25:03.0071614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit/test
2025-03-21T20:25:03.0071983Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2025-03-21T20:25:03.0072925Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:03.0073822Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:03.0074726Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:03.0075124Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2025-03-21T20:25:03.0076586Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator/test
2025-03-21T20:25:03.0076950Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2025-03-21T20:25:03.0077839Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0078922Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0079868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0080857Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0081906Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0082911Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0083909Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0084976Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0085991Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0086968Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0088065Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0089083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0090055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0091106Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0092151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0093112Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0094123Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0095089Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0096069Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0097079Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0098219Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0099324Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0100368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0101575Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0102583Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0103491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0104521Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0105437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0106273Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0107162Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0108073Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0109134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:03.0109540Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
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2025-03-21T20:25:03.0111353Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:25:03.0112354Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:25:03.0112763Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
2025-03-21T20:25:03.0113809Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-03-21T20:25:03.0114975Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-03-21T20:25:03.0116088Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-03-21T20:25:03.0116454Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
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2025-03-21T20:25:03.0118368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0119299Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0120471Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0121447Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0122350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0123279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:03.0123658Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2025-03-21T20:25:03.0124587Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0125517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0126547Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0127607Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0128523Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0129560Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0130519Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0131490Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0132464Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0133491Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0134591Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0135546Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0136524Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0137605Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0138736Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0139846Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0140880Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0141954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0143056Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0144141Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0145216Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0146287Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0147327Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0148330Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0149376Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0150395Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0151350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0152292Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0153241Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0154244Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0155218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0156209Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:03.0156625Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2025-03-21T20:25:03.0157750Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:03.0158816Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:03.0159954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:03.0161013Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:03.0161477Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2025-03-21T20:25:03.0162684Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification/test
2025-03-21T20:25:03.0163546Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:03.0163914Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension
2025-03-21T20:25:03.0164359Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/android_test
2025-03-21T20:25:03.0165495Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test/add_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/android_test
2025-03-21T20:25:03.0166116Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/export_util
2025-03-21T20:25:03.0167203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util
2025-03-21T20:25:03.0168365Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util
2025-03-21T20:25:03.0168833Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor
2025-03-21T20:25:03.0169746Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor
2025-03-21T20:25:03.0170192Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0171333Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0172596Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0173764Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0175049Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0176507Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:25:03.0176998Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/test
2025-03-21T20:25:03.0178249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/test
2025-03-21T20:25:03.0178677Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2025-03-21T20:25:03.0179784Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util
2025-03-21T20:25:03.0180884Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util
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2025-03-21T20:25:03.0353617Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization
2025-03-21T20:25:03.0354379Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization
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2025-03-21T20:25:03.0357329Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/kernel/test
2025-03-21T20:25:03.0357554Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/util
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2025-03-21T20:25:03.0358555Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/collect_env.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-03-21T20:25:03.0359125Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-03-21T20:25:03.0359319Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/schema
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2025-03-21T20:25:03.0360462Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema
2025-03-21T20:25:03.0360874Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch
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2025-03-21T20:25:03.0376356Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tensor_layout.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core
2025-03-21T20:25:03.0377112Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tensor_shape_dynamism.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core
2025-03-21T20:25:03.0377449Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten
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2025-03-21T20:25:03.0383109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:03.0384007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util
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2025-03-21T20:25:03.0386632Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type
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2025-03-21T20:25:03.0407474Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
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2025-03-21T20:25:03.0421556Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform
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2025-03-21T20:25:03.0424049Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0425464Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0492379Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0493157Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0493929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0494676Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0495435Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0496216Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0496950Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0497678Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:25:03.0498020Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:03.0498875Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:03.0499158Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension
2025-03-21T20:25:03.0499484Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:03.0500393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:03.0501288Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:03.0502206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:03.0502582Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:25:03.0503370Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:25:03.0504142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:25:03.0504896Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:25:03.0505661Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:25:03.0506001Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:03.0506841Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:25:03.0507647Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:25:03.0508466Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:25:03.0508656Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data
2025-03-21T20:25:03.0508889Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2025-03-21T20:25:03.0509394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:25:03.0509852Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:25:03.0509961Z   running install_egg_info
2025-03-21T20:25:03.0510350Z   Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:25:03.0510454Z   running install_scripts
2025-03-21T20:25:03.0510750Z   creating pip-out/bdist.linux-x86_64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:25:03.0511333Z   creating '/tmp/pip-wheel-ys6jwkaf/.tmp-temv7k_n/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it
2025-03-21T20:25:03.0511457Z   adding 'executorch/version.py'
2025-03-21T20:25:03.0511672Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:25:03.0511899Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:25:03.0512166Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:25:03.0512375Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:25:03.0512643Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:25:03.0512845Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:25:03.0513096Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:25:03.0513327Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:25:03.0513611Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:25:03.0513867Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:25:03.0514103Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:25:03.0514367Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:25:03.0514547Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:25:03.0514745Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:25:03.0514969Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:25:03.0515177Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:25:03.0515369Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:25:03.0515576Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:25:03.0515826Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:25:03.0516042Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:25:03.0516285Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:25:03.0516498Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:25:03.0516737Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:25:03.0516925Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:25:03.0517120Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:25:03.0517355Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:25:03.0517559Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:25:03.0517749Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:25:03.0517951Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:25:03.0518147Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:25:03.0518345Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:25:03.0518534Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:25:03.0518738Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:25:03.0518925Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:25:03.0519161Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:25:03.0519446Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:25:03.0519717Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:25:03.0519920Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:25:03.0520086Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:25:03.0520307Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:25:03.0520528Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:25:03.0520733Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:25:03.0520927Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:25:03.0521149Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:25:03.0521338Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:25:03.0521513Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:25:03.0825194Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:25:03.0825425Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:25:03.0825654Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:25:03.0825988Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:25:03.0826293Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:25:03.0826437Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:25:03.0826584Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:25:03.0826724Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:25:03.0826924Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:25:03.0827371Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:25:03.0827545Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:25:03.0827690Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:25:03.0827864Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:25:03.0828149Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:25:03.0828382Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:25:03.0828576Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:25:03.0828756Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:25:03.0828938Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:25:03.0829159Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:25:03.0829416Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:25:03.0829676Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:25:03.0829920Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:25:03.0830128Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:25:03.0830389Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:25:03.0830646Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:25:03.0830836Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:25:03.0831055Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:25:03.0831254Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:25:03.0831471Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:25:03.0831682Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:25:03.0831899Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:25:03.0832088Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:25:03.0832304Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:25:03.0832551Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:25:03.0832768Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:25:03.0833064Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:25:03.0833278Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:25:03.0833486Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:25:03.0833731Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:25:03.0833941Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:25:03.0834131Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:25:03.0834386Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:25:03.0834590Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:25:03.0834831Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:25:03.0835005Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:25:03.0835191Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:25:03.0835421Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:25:03.0835675Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:25:03.0835992Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:25:03.0836252Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:25:03.0836445Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:25:03.0836938Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:25:03.0837289Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:25:03.0837658Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:25:03.0838041Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:25:03.0838485Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:25:03.0838901Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:25:03.0839283Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:25:03.0839754Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:25:03.0840045Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:25:03.0840381Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:25:03.0840676Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:25:03.0840955Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:25:03.0841216Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:25:03.0841406Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:25:03.0841563Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:25:03.0841746Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:25:03.0841907Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:25:03.0842065Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:25:03.0842265Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:25:03.0842621Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:25:03.0842925Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:25:03.0843186Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:25:03.0843483Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:25:03.0843772Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:25:03.0844033Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:25:03.0844303Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:25:03.0844457Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:25:03.0844611Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:25:03.0844767Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:25:03.0844911Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:25:03.0845101Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:25:03.0845271Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:25:03.0845449Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:25:03.0845604Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:25:03.0845783Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:25:03.0845975Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:25:03.0846142Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:25:03.0846350Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:25:03.0846630Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:25:03.0846919Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:25:03.0847218Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:25:03.0847518Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:25:03.0847794Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:25:03.0848057Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:25:03.0848335Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-03-21T20:25:03.0848529Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-03-21T20:25:03.0848880Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-03-21T20:25:03.0849094Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-03-21T20:25:03.0849276Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-03-21T20:25:03.0849615Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-03-21T20:25:03.0849882Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-03-21T20:25:03.0850198Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:25:03.0850505Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:25:03.0850813Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-03-21T20:25:03.0851137Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-03-21T20:25:03.0851500Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:25:03.0851755Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:25:03.0851988Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:25:03.0852162Z   adding 'executorch/backends/arm/test/common.py'
2025-03-21T20:25:03.0852401Z   adding 'executorch/backends/arm/test/conftest.py'
2025-03-21T20:25:03.0852684Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-03-21T20:25:03.0852941Z   adding 'executorch/backends/arm/test/test_model.py'
2025-03-21T20:25:03.0853360Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-03-21T20:25:03.0853723Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-03-21T20:25:03.0854106Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-03-21T20:25:03.0854373Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-03-21T20:25:03.0854596Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-03-21T20:25:03.0854841Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-03-21T20:25:03.0855179Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:25:03.0855725Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-03-21T20:25:03.0856088Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-03-21T20:25:03.0856441Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-03-21T20:25:03.0856779Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-03-21T20:25:03.0857034Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-03-21T20:25:03.0857296Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-03-21T20:25:03.0857678Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-03-21T20:25:03.0858067Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-03-21T20:25:03.0858445Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-03-21T20:25:03.1132737Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-03-21T20:25:03.1133101Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-03-21T20:25:03.1133406Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-03-21T20:25:03.1133702Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-03-21T20:25:03.1134007Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:25:03.1134301Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:25:03.1134595Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:25:03.1134981Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-03-21T20:25:03.1135271Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-03-21T20:25:03.1135453Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:25:03.1135627Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:25:03.1135789Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-03-21T20:25:03.1136141Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-03-21T20:25:03.1136380Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-03-21T20:25:03.1136608Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-03-21T20:25:03.1136784Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:25:03.1136956Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:25:03.1137163Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:25:03.1137374Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-03-21T20:25:03.1137547Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-03-21T20:25:03.1137705Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:25:03.1137971Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:25:03.1138144Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:25:03.1138312Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:25:03.1138498Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:25:03.1138656Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:25:03.1138828Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:25:03.1139027Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:25:03.1139228Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:25:03.1139411Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:25:03.1139599Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:25:03.1139769Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:25:03.1139944Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:25:03.1140118Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:25:03.1140296Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:25:03.1140504Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:25:03.1140667Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:25:03.1140850Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:25:03.1141038Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:25:03.1141297Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:25:03.1141516Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:25:03.1141738Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:25:03.1141916Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:25:03.1142107Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:25:03.1142299Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:25:03.1142477Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:25:03.1142653Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:25:03.1142847Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:25:03.1143016Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:25:03.1143191Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:25:03.1143374Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:25:03.1143549Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:25:03.1143765Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:25:03.1143967Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:25:03.1144146Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-03-21T20:25:03.1144323Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-03-21T20:25:03.1144492Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-03-21T20:25:03.1144681Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-03-21T20:25:03.1144857Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
2025-03-21T20:25:03.1145198Z   adding 'executorch/backends/arm/test/ops/test_sum.py'
2025-03-21T20:25:03.1145368Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
2025-03-21T20:25:03.1145558Z   adding 'executorch/backends/arm/test/ops/test_to_copy.py'
2025-03-21T20:25:03.1145745Z   adding 'executorch/backends/arm/test/ops/test_unsqueeze.py'
2025-03-21T20:25:03.1145977Z   adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py'
2025-03-21T20:25:03.1146152Z   adding 'executorch/backends/arm/test/ops/test_var.py'
2025-03-21T20:25:03.1146316Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-03-21T20:25:03.1146558Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
2025-03-21T20:25:03.1146791Z   adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py'
2025-03-21T20:25:03.1147023Z   adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py'
2025-03-21T20:25:03.1147274Z   adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py'
2025-03-21T20:25:03.1147532Z   adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py'
2025-03-21T20:25:03.1147848Z   adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py'
2025-03-21T20:25:03.1148102Z   adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py'
2025-03-21T20:25:03.1148384Z   adding 'executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py'
2025-03-21T20:25:03.1148596Z   adding 'executorch/backends/arm/test/passes/test_rescale_pass.py'
2025-03-21T20:25:03.1148894Z   adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py'
2025-03-21T20:25:03.1149143Z   adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py'
2025-03-21T20:25:03.1149317Z   adding 'executorch/backends/arm/test/tester/__init__.py'
2025-03-21T20:25:03.1149555Z   adding 'executorch/backends/arm/test/tester/analyze_output_utils.py'
2025-03-21T20:25:03.1149736Z   adding 'executorch/backends/arm/test/tester/arm_tester.py'
2025-03-21T20:25:03.1149949Z   adding 'executorch/backends/arm/test/tester/test_pipeline.py'
2025-03-21T20:25:03.1150129Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
2025-03-21T20:25:03.1150383Z   adding 'executorch/backends/arm/third-party/serialization_lib/setup.py'
2025-03-21T20:25:03.1150717Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2025-03-21T20:25:03.1151087Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
2025-03-21T20:25:03.1151586Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py'
2025-03-21T20:25:03.1151910Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-03-21T20:25:03.1152288Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-03-21T20:25:03.1152620Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-03-21T20:25:03.1152980Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-03-21T20:25:03.1153305Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-03-21T20:25:03.1153654Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-03-21T20:25:03.1153989Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-03-21T20:25:03.1154311Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-03-21T20:25:03.1154758Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-03-21T20:25:03.1155096Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-03-21T20:25:03.1155429Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-03-21T20:25:03.1155890Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-03-21T20:25:03.1156182Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-03-21T20:25:03.1156509Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-03-21T20:25:03.1156848Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-03-21T20:25:03.1157173Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-03-21T20:25:03.1157515Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:25:03.1157918Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:25:03.1158253Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-03-21T20:25:03.1158638Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-03-21T20:25:03.1158970Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-03-21T20:25:03.1159311Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-03-21T20:25:03.1159638Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-03-21T20:25:03.1159976Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-03-21T20:25:03.1160280Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-03-21T20:25:03.1160600Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-03-21T20:25:03.1160921Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-03-21T20:25:03.1161230Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-03-21T20:25:03.1161603Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-03-21T20:25:03.1512298Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-03-21T20:25:03.1512929Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-03-21T20:25:03.1513597Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-03-21T20:25:03.1514178Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-03-21T20:25:03.1514619Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2025-03-21T20:25:03.1514975Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2025-03-21T20:25:03.1515299Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2025-03-21T20:25:03.1515560Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-03-21T20:25:03.1515735Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-03-21T20:25:03.1515915Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-03-21T20:25:03.1516134Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-03-21T20:25:03.1516387Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-03-21T20:25:03.1516580Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-03-21T20:25:03.1516799Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:25:03.1517011Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-03-21T20:25:03.1517206Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-03-21T20:25:03.1517397Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-03-21T20:25:03.1517667Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-03-21T20:25:03.1518020Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-03-21T20:25:03.1518306Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-03-21T20:25:03.1518481Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
2025-03-21T20:25:03.1518646Z   adding 'executorch/backends/cadence/aot/passes.py'
2025-03-21T20:25:03.1518855Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-03-21T20:25:03.1519064Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-03-21T20:25:03.1519327Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-03-21T20:25:03.1519500Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-03-21T20:25:03.1519745Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-03-21T20:25:03.1519897Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-03-21T20:25:03.1520129Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-03-21T20:25:03.1520331Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-03-21T20:25:03.1520549Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-03-21T20:25:03.1520747Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
2025-03-21T20:25:03.1520996Z   adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py'
2025-03-21T20:25:03.1521238Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
2025-03-21T20:25:03.1521464Z   adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py'
2025-03-21T20:25:03.1521735Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
2025-03-21T20:25:03.1522037Z   adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py'
2025-03-21T20:25:03.1522359Z   adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py'
2025-03-21T20:25:03.1522622Z   adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py'
2025-03-21T20:25:03.1522877Z   adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py'
2025-03-21T20:25:03.1523077Z   adding 'executorch/backends/cadence/runtime/__init__.py'
2025-03-21T20:25:03.1523253Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-03-21T20:25:03.1523440Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-03-21T20:25:03.1523648Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-03-21T20:25:03.1523822Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-03-21T20:25:03.1524059Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-03-21T20:25:03.1524265Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2025-03-21T20:25:03.1524459Z   adding 'executorch/backends/cadence/utils/FACTO/setup.py'
2025-03-21T20:25:03.1524704Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py'
2025-03-21T20:25:03.1524951Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-03-21T20:25:03.1525183Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-03-21T20:25:03.1525462Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-03-21T20:25:03.1525726Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
2025-03-21T20:25:03.1525987Z   adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py'
2025-03-21T20:25:03.1526319Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-03-21T20:25:03.1526625Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-03-21T20:25:03.1526937Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
2025-03-21T20:25:03.1527217Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py'
2025-03-21T20:25:03.1527638Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py'
2025-03-21T20:25:03.1527984Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py'
2025-03-21T20:25:03.1528264Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-03-21T20:25:03.1528689Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-03-21T20:25:03.1529000Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-03-21T20:25:03.1529314Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-03-21T20:25:03.1529607Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-03-21T20:25:03.1529914Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-03-21T20:25:03.1530202Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-03-21T20:25:03.1530574Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-03-21T20:25:03.1530936Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-03-21T20:25:03.1531254Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-03-21T20:25:03.1531578Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-03-21T20:25:03.1531887Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-03-21T20:25:03.1532179Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-03-21T20:25:03.1532466Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-03-21T20:25:03.1532763Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-03-21T20:25:03.1533238Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-03-21T20:25:03.1533582Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-03-21T20:25:03.1533822Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-03-21T20:25:03.1534071Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-03-21T20:25:03.1534338Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-03-21T20:25:03.1534589Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-03-21T20:25:03.1534913Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
2025-03-21T20:25:03.1535290Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py'
2025-03-21T20:25:03.1535727Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py'
2025-03-21T20:25:03.1536069Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py'
2025-03-21T20:25:03.1536372Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py'
2025-03-21T20:25:03.1536698Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py'
2025-03-21T20:25:03.1537011Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py'
2025-03-21T20:25:03.1537326Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py'
2025-03-21T20:25:03.1537637Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py'
2025-03-21T20:25:03.1537954Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py'
2025-03-21T20:25:03.1538351Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py'
2025-03-21T20:25:03.1538684Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py'
2025-03-21T20:25:03.1539010Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py'
2025-03-21T20:25:03.1539316Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py'
2025-03-21T20:25:03.1539632Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py'
2025-03-21T20:25:03.1539892Z   adding 'executorch/backends/example/example_backend.py'
2025-03-21T20:25:03.1540147Z   adding 'executorch/backends/example/example_partitioner.py'
2025-03-21T20:25:03.1540371Z   adding 'executorch/backends/example/example_quantizer.py'
2025-03-21T20:25:03.1540570Z   adding 'executorch/backends/example/test_example_delegate.py'
2025-03-21T20:25:03.1540989Z   adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py'
2025-03-21T20:25:03.1541429Z   adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py'
2025-03-21T20:25:03.1541715Z   adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py'
2025-03-21T20:25:03.1541913Z   adding 'executorch/backends/example/example_operators/add.py'
2025-03-21T20:25:03.1542137Z   adding 'executorch/backends/example/example_operators/conv2d.py'
2025-03-21T20:25:03.1542397Z   adding 'executorch/backends/example/example_operators/conv_relu.py'
2025-03-21T20:25:03.1542693Z   adding 'executorch/backends/example/example_operators/dropout.py'
2025-03-21T20:25:03.1542932Z   adding 'executorch/backends/example/example_operators/flatten.py'
2025-03-21T20:25:03.1543223Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-03-21T20:25:03.1830893Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-03-21T20:25:03.1831284Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-03-21T20:25:03.1831545Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:25:03.1831698Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:25:03.1831879Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-03-21T20:25:03.1832037Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-03-21T20:25:03.1832218Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:25:03.1832539Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-03-21T20:25:03.1832737Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-03-21T20:25:03.1832951Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:25:03.1833136Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:25:03.1833341Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:25:03.1833584Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:25:03.1833801Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:25:03.1834159Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:25:03.1834392Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:25:03.1834610Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:25:03.1834834Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:25:03.1835080Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:25:03.1835384Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:25:03.1835605Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
2025-03-21T20:25:03.1835813Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-03-21T20:25:03.1836027Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-03-21T20:25:03.1836305Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-03-21T20:25:03.1836510Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-03-21T20:25:03.1836790Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-03-21T20:25:03.1837034Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
2025-03-21T20:25:03.1837338Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py'
2025-03-21T20:25:03.1837633Z   adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py'
2025-03-21T20:25:03.1838039Z   adding 'executorch/backends/qualcomm/_passes/insert_requantize.py'
2025-03-21T20:25:03.1838333Z   adding 'executorch/backends/qualcomm/_passes/layout_transform.py'
2025-03-21T20:25:03.1838604Z   adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py'
2025-03-21T20:25:03.1838900Z   adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py'
2025-03-21T20:25:03.1839113Z   adding 'executorch/backends/qualcomm/_passes/recompose_prelu.py'
2025-03-21T20:25:03.1839344Z   adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py'
2025-03-21T20:25:03.1839573Z   adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py'
2025-03-21T20:25:03.1839803Z   adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py'
2025-03-21T20:25:03.1840106Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
2025-03-21T20:25:03.1840456Z   adding 'executorch/backends/qualcomm/_passes/replace_inf_buffer.py'
2025-03-21T20:25:03.1840735Z   adding 'executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py'
2025-03-21T20:25:03.1840915Z   adding 'executorch/backends/qualcomm/_passes/utils.py'
2025-03-21T20:25:03.1841091Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2025-03-21T20:25:03.1841272Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2025-03-21T20:25:03.1841486Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-03-21T20:25:03.1841663Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-03-21T20:25:03.1841911Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
2025-03-21T20:25:03.1842098Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2025-03-21T20:25:03.1842284Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-03-21T20:25:03.1842480Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-03-21T20:25:03.1842686Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-03-21T20:25:03.1842903Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-03-21T20:25:03.1843085Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-03-21T20:25:03.1843259Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:25:03.1843505Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-03-21T20:25:03.1843690Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-03-21T20:25:03.1843893Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-03-21T20:25:03.1844172Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-03-21T20:25:03.1844483Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-03-21T20:25:03.1844692Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-03-21T20:25:03.1844865Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:25:03.1845077Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:25:03.1845249Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:25:03.1845454Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:25:03.1845633Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:25:03.1845839Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:25:03.1846010Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:25:03.1846187Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:25:03.1846403Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:25:03.1846673Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:25:03.1846976Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:25:03.1847191Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:25:03.1847400Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:25:03.1847583Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:25:03.1847952Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:25:03.1848187Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:25:03.1848393Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:25:03.1848622Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:25:03.1848864Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:25:03.1849118Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:25:03.1849415Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:25:03.1849651Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:25:03.1849870Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:25:03.1850054Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:25:03.1850242Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:25:03.1850502Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:25:03.1850713Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:25:03.1850891Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:25:03.1851064Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:25:03.1851300Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:25:03.1851473Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:25:03.1851655Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:25:03.1851828Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:25:03.1852065Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:25:03.1852248Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:25:03.1852443Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:25:03.1852634Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:25:03.1852887Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:25:03.1853090Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:25:03.1853292Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:25:03.1853520Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:25:03.1853751Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:25:03.1853947Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:25:03.1854138Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:25:03.1854396Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:25:03.1854618Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:25:03.1854811Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:25:03.1855090Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:25:03.1855336Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:25:03.1855517Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:25:03.1855724Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:25:03.1855986Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:25:03.1856284Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:25:03.1856571Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:25:03.1856778Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:25:03.1856961Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:25:03.1857165Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:25:03.1857380Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:25:03.1857632Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:25:03.1858024Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:25:03.1858210Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:25:03.1858440Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:25:03.1858614Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:25:03.1858788Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:25:03.1859009Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:25:03.1859236Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:25:03.1859429Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:25:03.1859632Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:25:03.2137350Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:25:03.2137660Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:25:03.2138067Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:25:03.2138565Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:25:03.2138823Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:25:03.2139053Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:25:03.2139313Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:25:03.2139493Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:25:03.2139704Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:25:03.2139864Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:25:03.2140058Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:25:03.2140292Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:25:03.2140507Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:25:03.2140715Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:25:03.2140923Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:25:03.2141106Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:25:03.2141415Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:25:03.2141675Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:25:03.2141892Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:25:03.2142092Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:25:03.2142272Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:25:03.2142470Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:25:03.2142655Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:25:03.2142854Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:25:03.2143094Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:25:03.2143255Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:25:03.2143583Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:25:03.2143897Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:25:03.2144198Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:25:03.2144427Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:25:03.2144585Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:25:03.2144829Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:25:03.2144997Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:25:03.2145135Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:25:03.2145318Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:25:03.2145717Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:25:03.2145944Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:25:03.2146275Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:25:03.2146526Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:25:03.2146795Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:25:03.2147015Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:25:03.2147254Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:25:03.2147487Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:25:03.2147727Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:25:03.2147955Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:25:03.2148159Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:25:03.2148465Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:25:03.2148771Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:25:03.2149066Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:25:03.2149302Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:25:03.2149558Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:25:03.2149824Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:25:03.2150073Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:25:03.2150458Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:25:03.2150749Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:25:03.2151032Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:25:03.2151261Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:25:03.2151494Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:25:03.2151739Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:25:03.2151989Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:25:03.2152306Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:25:03.2152637Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:25:03.2152979Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:25:03.2153291Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:25:03.2153551Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:25:03.2153851Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:25:03.2154219Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:25:03.2154528Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:25:03.2154788Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:25:03.2155164Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:25:03.2155466Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:25:03.2155707Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:25:03.2155933Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:25:03.2156326Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:25:03.2156610Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:25:03.2156881Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:25:03.2157198Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:25:03.2157479Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:25:03.2157750Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:25:03.2158039Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:25:03.2158409Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:25:03.2158813Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:25:03.2159090Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:25:03.2159335Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:25:03.2159595Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:25:03.2159893Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:25:03.2160137Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:25:03.2160402Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:25:03.2160659Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:25:03.2161008Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:25:03.2161297Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:25:03.2161572Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:25:03.2161885Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:25:03.2162169Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:25:03.2162534Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:25:03.2162809Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:25:03.2163095Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:25:03.2163390Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:25:03.2163672Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:25:03.2163965Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:25:03.2164243Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:25:03.2164534Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:25:03.2164815Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:25:03.2165107Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:25:03.2165365Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:25:03.2165611Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:25:03.2165916Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:25:03.2166142Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:25:03.2166348Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:25:03.2526751Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:25:03.2527540Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:25:03.2528217Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:25:03.2528466Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:25:03.2528694Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:25:03.2528936Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:25:03.2529178Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:25:03.2529362Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:25:03.2529633Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:25:03.2529921Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:25:03.2530165Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:25:03.2530438Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:25:03.2530772Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:25:03.2531084Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:25:03.2531351Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-03-21T20:25:03.2531593Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-03-21T20:25:03.2531924Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-03-21T20:25:03.2532243Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:25:03.2532695Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:25:03.2533032Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-03-21T20:25:03.2533314Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-03-21T20:25:03.2533605Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-03-21T20:25:03.2533922Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-03-21T20:25:03.2534243Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:25:03.2534676Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:25:03.2534917Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:25:03.2535310Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:25:03.2535584Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:25:03.2535824Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:25:03.2536077Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:25:03.2536374Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:25:03.2536616Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:25:03.2536766Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:25:03.2536970Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:25:03.2537150Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:25:03.2537445Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:25:03.2537825Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:25:03.2538049Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:25:03.2538270Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:25:03.2538543Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:25:03.2538907Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:25:03.2539138Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:25:03.2539399Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:25:03.2539619Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:25:03.2539846Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:25:03.2540308Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:25:03.2540505Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:25:03.2540701Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:25:03.2540907Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:25:03.2541100Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:25:03.2541335Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:25:03.2541531Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:25:03.2541772Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:25:03.2541948Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:25:03.2542198Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:25:03.2542486Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:25:03.2542689Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:25:03.2542879Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:25:03.2543056Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:25:03.2543334Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:25:03.2543590Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:25:03.2543784Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:25:03.2543977Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-03-21T20:25:03.2544196Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-03-21T20:25:03.2544395Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:25:03.2544600Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:25:03.2544801Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:25:03.2545085Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-03-21T20:25:03.2545400Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-03-21T20:25:03.2545615Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-03-21T20:25:03.2545822Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-03-21T20:25:03.2546019Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-03-21T20:25:03.2546209Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-03-21T20:25:03.2546431Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-03-21T20:25:03.2546620Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-03-21T20:25:03.2546827Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-03-21T20:25:03.2547011Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-03-21T20:25:03.2547241Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:25:03.2547419Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:25:03.2547602Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:25:03.2547794Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:25:03.2548106Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-03-21T20:25:03.2548348Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-03-21T20:25:03.2548554Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:25:03.2548925Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:25:03.2549111Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:25:03.2549322Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-03-21T20:25:03.2549525Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-03-21T20:25:03.2549776Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-03-21T20:25:03.2550059Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-03-21T20:25:03.2550235Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-03-21T20:25:03.2550440Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:25:03.2550696Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:25:03.2550964Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:25:03.2551214Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:25:03.2551442Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:25:03.2551685Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:25:03.2551955Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:25:03.2552197Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:25:03.2552467Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:25:03.2552713Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:25:03.2552956Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:25:03.2553154Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:25:03.2553508Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-03-21T20:25:03.2553801Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-03-21T20:25:03.2554058Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:25:03.2554257Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:25:03.2554528Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-03-21T20:25:03.2554802Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-03-21T20:25:03.2555006Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-03-21T20:25:03.2555257Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-03-21T20:25:03.2555458Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-03-21T20:25:03.2555746Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-03-21T20:25:03.2556007Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:25:03.2556230Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:25:03.2556450Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-03-21T20:25:03.2820185Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-03-21T20:25:03.2820574Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-03-21T20:25:03.2820977Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-03-21T20:25:03.2821285Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:25:03.2821568Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:25:03.2821832Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:25:03.2822054Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:25:03.2822230Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:25:03.2822425Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:25:03.2822605Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:25:03.2823057Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:25:03.2823276Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:25:03.2823471Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:25:03.2823703Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:25:03.2823907Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:25:03.2824239Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:25:03.2824426Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
2025-03-21T20:25:03.2824632Z   adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py'
2025-03-21T20:25:03.2824824Z   adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py'
2025-03-21T20:25:03.2825015Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-03-21T20:25:03.2825193Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:25:03.2825391Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:25:03.2825629Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:25:03.2825948Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
2025-03-21T20:25:03.2826180Z   adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py'
2025-03-21T20:25:03.2826371Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
2025-03-21T20:25:03.2826567Z   adding 'executorch/backends/xnnpack/test/ops/test_lstm.py'
2025-03-21T20:25:03.2826761Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-03-21T20:25:03.2826957Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-03-21T20:25:03.2827175Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
2025-03-21T20:25:03.2827416Z   adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py'
2025-03-21T20:25:03.2827609Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:25:03.2827818Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:25:03.2828022Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:25:03.2828250Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:25:03.2828448Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
2025-03-21T20:25:03.2828684Z   adding 'executorch/backends/xnnpack/test/ops/test_prelu.py'
2025-03-21T20:25:03.2828989Z   adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py'
2025-03-21T20:25:03.2829172Z   adding 'executorch/backends/xnnpack/test/ops/test_relu.py'
2025-03-21T20:25:03.2829357Z   adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py'
2025-03-21T20:25:03.2829550Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
2025-03-21T20:25:03.2829744Z   adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py'
2025-03-21T20:25:03.2829969Z   adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py'
2025-03-21T20:25:03.2830193Z   adding 'executorch/backends/xnnpack/test/ops/test_softmax.py'
2025-03-21T20:25:03.2830498Z   adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py'
2025-03-21T20:25:03.2830743Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-03-21T20:25:03.2830997Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
2025-03-21T20:25:03.2831187Z   adding 'executorch/backends/xnnpack/test/ops/test_sub.py'
2025-03-21T20:25:03.2831448Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2025-03-21T20:25:03.2831717Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
2025-03-21T20:25:03.2832027Z   adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py'
2025-03-21T20:25:03.2832316Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
2025-03-21T20:25:03.2832595Z   adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py'
2025-03-21T20:25:03.2833128Z   adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py'
2025-03-21T20:25:03.2833590Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2025-03-21T20:25:03.2834036Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-03-21T20:25:03.2834482Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:25:03.2834960Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:25:03.2835450Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:25:03.2836644Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:25:03.2837688Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:25:03.2838583Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:25:03.2839632Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:25:03.2840492Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:25:03.2841508Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:25:03.2842400Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2025-03-21T20:25:03.2843415Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2025-03-21T20:25:03.2844548Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2025-03-21T20:25:03.2845725Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:25:03.2846861Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-03-21T20:25:03.2847928Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-03-21T20:25:03.2848807Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:25:03.2850102Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:25:03.2851275Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:25:03.2852042Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:25:03.2852760Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:25:03.2853700Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-03-21T20:25:03.2855003Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2025-03-21T20:25:03.2855876Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
2025-03-21T20:25:03.2856939Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml'
2025-03-21T20:25:03.2858287Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml'
2025-03-21T20:25:03.2859059Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml'
2025-03-21T20:25:03.2860346Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml'
2025-03-21T20:25:03.2861512Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2025-03-21T20:25:03.2862336Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2025-03-21T20:25:03.2863620Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
2025-03-21T20:25:03.2864665Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml'
2025-03-21T20:25:03.2865391Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:25:03.2866033Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
2025-03-21T20:25:03.2866687Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml'
2025-03-21T20:25:03.2867463Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml'
2025-03-21T20:25:03.2868297Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml'
2025-03-21T20:25:03.2869613Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml'
2025-03-21T20:25:03.2870649Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
2025-03-21T20:25:03.2871344Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml'
2025-03-21T20:25:03.2872028Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml'
2025-03-21T20:25:03.2872730Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml'
2025-03-21T20:25:03.2873514Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml'
2025-03-21T20:25:03.2874815Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml'
2025-03-21T20:25:03.2876045Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml'
2025-03-21T20:25:03.2876725Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml'
2025-03-21T20:25:03.2877402Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml'
2025-03-21T20:25:03.2878121Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml'
2025-03-21T20:25:03.2878904Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml'
2025-03-21T20:25:03.2880146Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
2025-03-21T20:25:03.2881213Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml'
2025-03-21T20:25:03.2882177Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml'
2025-03-21T20:25:03.2883426Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml'
2025-03-21T20:25:03.2884762Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml'
2025-03-21T20:25:03.2885885Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml'
2025-03-21T20:25:03.6027140Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml'
2025-03-21T20:25:03.6028459Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml'
2025-03-21T20:25:03.6029739Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml'
2025-03-21T20:25:03.6030749Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml'
2025-03-21T20:25:03.6032123Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml'
2025-03-21T20:25:03.6033139Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml'
2025-03-21T20:25:03.6034154Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
2025-03-21T20:25:03.6035354Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml'
2025-03-21T20:25:03.6036556Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml'
2025-03-21T20:25:03.6037569Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml'
2025-03-21T20:25:03.6038814Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml'
2025-03-21T20:25:03.6039811Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml'
2025-03-21T20:25:03.6040619Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml'
2025-03-21T20:25:03.6041994Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml'
2025-03-21T20:25:03.6042969Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6044180Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6045760Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml'
2025-03-21T20:25:03.6047230Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml'
2025-03-21T20:25:03.6048176Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6048963Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6049994Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml'
2025-03-21T20:25:03.6051411Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml'
2025-03-21T20:25:03.6052469Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6053893Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml'
2025-03-21T20:25:03.6054702Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml'
2025-03-21T20:25:03.6055530Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml'
2025-03-21T20:25:03.6056319Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml'
2025-03-21T20:25:03.6057350Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml'
2025-03-21T20:25:03.6058598Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml'
2025-03-21T20:25:03.6059371Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml'
2025-03-21T20:25:03.6060224Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml'
2025-03-21T20:25:03.6061733Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml'
2025-03-21T20:25:03.6063045Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
2025-03-21T20:25:03.6064102Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml'
2025-03-21T20:25:03.6065103Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-03-21T20:25:03.6066328Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:25:03.6067228Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-03-21T20:25:03.6068439Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-03-21T20:25:03.6069179Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-03-21T20:25:03.6070179Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-03-21T20:25:03.6084369Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-03-21T20:25:03.6085298Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-03-21T20:25:03.6086158Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-03-21T20:25:03.6087003Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-03-21T20:25:03.6087822Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-03-21T20:25:03.6088594Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-03-21T20:25:03.6089371Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
2025-03-21T20:25:03.6090159Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py'
2025-03-21T20:25:03.6090938Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py'
2025-03-21T20:25:03.6091681Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-03-21T20:25:03.6092464Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-03-21T20:25:03.6093523Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-03-21T20:25:03.6094383Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-03-21T20:25:03.6095218Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-03-21T20:25:03.6096126Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-03-21T20:25:03.6097432Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-03-21T20:25:03.6098554Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-03-21T20:25:03.6099309Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-03-21T20:25:03.6100085Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
2025-03-21T20:25:03.6100917Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py'
2025-03-21T20:25:03.6101841Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py'
2025-03-21T20:25:03.6102921Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-03-21T20:25:03.6104180Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-03-21T20:25:03.6105202Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
2025-03-21T20:25:03.6106452Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py'
2025-03-21T20:25:03.6107164Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-03-21T20:25:03.6107792Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
2025-03-21T20:25:03.6108379Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml'
2025-03-21T20:25:03.6109018Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py'
2025-03-21T20:25:03.6109692Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml'
2025-03-21T20:25:03.6110402Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-03-21T20:25:03.6111577Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-03-21T20:25:03.6112906Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
2025-03-21T20:25:03.6113619Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
2025-03-21T20:25:03.6114244Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml'
2025-03-21T20:25:03.6114778Z   adding 'executorch/backends/xnnpack/utils/configs.py'
2025-03-21T20:25:03.6115244Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
2025-03-21T20:25:03.6115889Z   adding 'executorch/backends/xnnpack/utils/utils.py'
2025-03-21T20:25:03.6116769Z   adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py'
2025-03-21T20:25:03.6117524Z   adding 'executorch/codegen/__init__.py'
2025-03-21T20:25:03.6117907Z   adding 'executorch/codegen/tools/__init__.py'
2025-03-21T20:25:03.6118316Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
2025-03-21T20:25:03.6118725Z   adding 'executorch/codegen/tools/gen_oplist.py'
2025-03-21T20:25:03.6119280Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-03-21T20:25:03.6120100Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-03-21T20:25:03.6120902Z   adding 'executorch/codegen/tools/merge_yaml.py'
2025-03-21T20:25:03.6121336Z   adding 'executorch/codegen/tools/yaml_util.py'
2025-03-21T20:25:03.6121797Z   adding 'executorch/codegen/tools/test/test_gen_all_oplist.py'
2025-03-21T20:25:03.6122361Z   adding 'executorch/codegen/tools/test/test_gen_oplist.py'
2025-03-21T20:25:03.6123304Z   adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py'
2025-03-21T20:25:03.6124479Z   adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py'
2025-03-21T20:25:03.6125328Z   adding 'executorch/data/bin/__init__.py'
2025-03-21T20:25:03.6125953Z   adding 'executorch/data/bin/flatc'
2025-03-21T20:25:03.6126530Z   adding 'executorch/devtools/__init__.py'
2025-03-21T20:25:03.6127236Z   adding 'executorch/devtools/backend_debug/__init__.py'
2025-03-21T20:25:03.6128110Z   adding 'executorch/devtools/backend_debug/delegation_info.py'
2025-03-21T20:25:03.6128830Z   adding 'executorch/devtools/backend_debug/tests/test_delegation_info.py'
2025-03-21T20:25:03.6129490Z   adding 'executorch/devtools/bundled_program/config.py'
2025-03-21T20:25:03.6130263Z   adding 'executorch/devtools/bundled_program/core.py'
2025-03-21T20:25:03.6131072Z   adding 'executorch/devtools/bundled_program/version.py'
2025-03-21T20:25:03.6131642Z   adding 'executorch/devtools/bundled_program/schema/__init__.py'
2025-03-21T20:25:03.6132586Z   adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.fbs'
2025-03-21T20:25:03.6386159Z   adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.py'
2025-03-21T20:25:03.6387293Z   adding 'executorch/devtools/bundled_program/schema/scalar_type.fbs'
2025-03-21T20:25:03.6387960Z   adding 'executorch/devtools/bundled_program/schema/test/test_schema.py'
2025-03-21T20:25:03.6388888Z   adding 'executorch/devtools/bundled_program/serialize/__init__.py'
2025-03-21T20:25:03.6390001Z   adding 'executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs'
2025-03-21T20:25:03.6390764Z   adding 'executorch/devtools/bundled_program/serialize/scalar_type.fbs'
2025-03-21T20:25:03.6391390Z   adding 'executorch/devtools/bundled_program/serialize/test/test_serialize.py'
2025-03-21T20:25:03.6392312Z   adding 'executorch/devtools/bundled_program/test/test_bundle_data.py'
2025-03-21T20:25:03.6393331Z   adding 'executorch/devtools/bundled_program/test/test_config.py'
2025-03-21T20:25:03.6394284Z   adding 'executorch/devtools/bundled_program/test/test_end2end.py'
2025-03-21T20:25:03.6395262Z   adding 'executorch/devtools/bundled_program/util/test_util.py'
2025-03-21T20:25:03.6396033Z   adding 'executorch/devtools/debug_format/base_schema.py'
2025-03-21T20:25:03.6396872Z   adding 'executorch/devtools/debug_format/et_schema.py'
2025-03-21T20:25:03.6397706Z   adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs'
2025-03-21T20:25:03.6398531Z   adding 'executorch/devtools/etdump/scalar_type.fbs'
2025-03-21T20:25:03.6399296Z   adding 'executorch/devtools/etdump/schema_flatcc.py'
2025-03-21T20:25:03.6399940Z   adding 'executorch/devtools/etdump/serialize.py'
2025-03-21T20:25:03.6400751Z   adding 'executorch/devtools/etdump/tests/serialize_test.py'
2025-03-21T20:25:03.6401563Z   adding 'executorch/devtools/etrecord/__init__.py'
2025-03-21T20:25:03.6402295Z   adding 'executorch/devtools/etrecord/_etrecord.py'
2025-03-21T20:25:03.6403113Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
2025-03-21T20:25:03.6403940Z   adding 'executorch/devtools/inspector/__init__.py'
2025-03-21T20:25:03.6404725Z   adding 'executorch/devtools/inspector/_inspector.py'
2025-03-21T20:25:03.6405525Z   adding 'executorch/devtools/inspector/_inspector_utils.py'
2025-03-21T20:25:03.6406373Z   adding 'executorch/devtools/inspector/inspector_cli.py'
2025-03-21T20:25:03.6407304Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
2025-03-21T20:25:03.6407913Z   adding 'executorch/devtools/inspector/tests/inspector_test.py'
2025-03-21T20:25:03.6408474Z   adding 'executorch/devtools/inspector/tests/inspector_utils_test.py'
2025-03-21T20:25:03.6409057Z   adding 'executorch/devtools/size_analysis_tool/size_analysis_tool.py'
2025-03-21T20:25:03.6409779Z   adding 'executorch/devtools/size_analysis_tool/size_analysis_tool_test.py'
2025-03-21T20:25:03.6410768Z   adding 'executorch/devtools/visualization/__init__.py'
2025-03-21T20:25:03.6411582Z   adding 'executorch/devtools/visualization/visualization_utils.py'
2025-03-21T20:25:03.6412588Z   adding 'executorch/devtools/visualization/visualization_utils_test.py'
2025-03-21T20:25:03.6413708Z   adding 'executorch/examples/apple/coreml/llama/export.py'
2025-03-21T20:25:03.6414432Z   adding 'executorch/examples/apple/coreml/llama/llama_transformer.py'
2025-03-21T20:25:03.6414964Z   adding 'executorch/examples/apple/coreml/llama/run.py'
2025-03-21T20:25:03.6415429Z   adding 'executorch/examples/apple/coreml/llama/test.py'
2025-03-21T20:25:03.6415887Z   adding 'executorch/examples/apple/coreml/llama/utils.py'
2025-03-21T20:25:03.6416370Z   adding 'executorch/examples/llm_pte_finetuning/__init__.py'
2025-03-21T20:25:03.6416960Z   adding 'executorch/examples/llm_pte_finetuning/model_exporter.py'
2025-03-21T20:25:03.6417962Z   adding 'executorch/examples/llm_pte_finetuning/model_loading_lib.py'
2025-03-21T20:25:03.6418974Z   adding 'executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml'
2025-03-21T20:25:03.6419583Z   adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml'
2025-03-21T20:25:03.6420144Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
2025-03-21T20:25:03.6421067Z   adding 'executorch/examples/llm_pte_finetuning/runner.py'
2025-03-21T20:25:03.6422063Z   adding 'executorch/examples/llm_pte_finetuning/training_lib.py'
2025-03-21T20:25:03.6422639Z   adding 'executorch/examples/models/__init__.py'
2025-03-21T20:25:03.6423299Z   adding 'executorch/examples/models/checkpoint.py'
2025-03-21T20:25:03.6424030Z   adding 'executorch/examples/models/model_base.py'
2025-03-21T20:25:03.6424762Z   adding 'executorch/examples/models/model_factory.py'
2025-03-21T20:25:03.6425578Z   adding 'executorch/examples/models/deeplab_v3/__init__.py'
2025-03-21T20:25:03.6426431Z   adding 'executorch/examples/models/deeplab_v3/model.py'
2025-03-21T20:25:03.6427222Z   adding 'executorch/examples/models/edsr/__init__.py'
2025-03-21T20:25:03.6427976Z   adding 'executorch/examples/models/edsr/model.py'
2025-03-21T20:25:03.6428786Z   adding 'executorch/examples/models/efficient_sam/__init__.py'
2025-03-21T20:25:03.6429718Z   adding 'executorch/examples/models/efficient_sam/model.py'
2025-03-21T20:25:03.6430848Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py'
2025-03-21T20:25:03.6432241Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py'
2025-03-21T20:25:03.6433663Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py'
2025-03-21T20:25:03.6435144Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py'
2025-03-21T20:25:03.6436377Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py'
2025-03-21T20:25:03.6437684Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
2025-03-21T20:25:03.6438892Z   adding 'executorch/examples/models/emformer_rnnt/__init__.py'
2025-03-21T20:25:03.6439542Z   adding 'executorch/examples/models/emformer_rnnt/model.py'
2025-03-21T20:25:03.6440050Z   adding 'executorch/examples/models/inception_v3/__init__.py'
2025-03-21T20:25:03.6440608Z   adding 'executorch/examples/models/inception_v3/model.py'
2025-03-21T20:25:03.6441474Z   adding 'executorch/examples/models/inception_v4/__init__.py'
2025-03-21T20:25:03.6442344Z   adding 'executorch/examples/models/inception_v4/model.py'
2025-03-21T20:25:03.6443121Z   adding 'executorch/examples/models/llama/__init__.py'
2025-03-21T20:25:03.6443936Z   adding 'executorch/examples/models/llama/attention.py'
2025-03-21T20:25:03.6444596Z   adding 'executorch/examples/models/llama/eval_llama.py'
2025-03-21T20:25:03.6445228Z   adding 'executorch/examples/models/llama/eval_llama_lib.py'
2025-03-21T20:25:03.6446109Z   adding 'executorch/examples/models/llama/export_llama.py'
2025-03-21T20:25:03.6446917Z   adding 'executorch/examples/models/llama/export_llama_lib.py'
2025-03-21T20:25:03.6447413Z   adding 'executorch/examples/models/llama/fairseq2.py'
2025-03-21T20:25:03.6448292Z   adding 'executorch/examples/models/llama/install_requirement_helper.py'
2025-03-21T20:25:03.6449864Z   adding 'executorch/examples/models/llama/llama_test.py'
2025-03-21T20:25:03.6450766Z   adding 'executorch/examples/models/llama/llama_transformer.py'
2025-03-21T20:25:03.6451607Z   adding 'executorch/examples/models/llama/model.py'
2025-03-21T20:25:03.6452415Z   adding 'executorch/examples/models/llama/model_args.py'
2025-03-21T20:25:03.6453190Z   adding 'executorch/examples/models/llama/norm.py'
2025-03-21T20:25:03.6453648Z   adding 'executorch/examples/models/llama/rope.py'
2025-03-21T20:25:03.6454118Z   adding 'executorch/examples/models/llama/static_attention.py'
2025-03-21T20:25:03.6455020Z   adding 'executorch/examples/models/llama/evaluate/__init__.py'
2025-03-21T20:25:03.6455996Z   adding 'executorch/examples/models/llama/evaluate/eager_eval.py'
2025-03-21T20:25:03.6456993Z   adding 'executorch/examples/models/llama/experimental/generate.py'
2025-03-21T20:25:03.6458067Z   adding 'executorch/examples/models/llama/experimental/load_gguf_q4_0.py'
2025-03-21T20:25:03.6458856Z   adding 'executorch/examples/models/llama/experimental/subclass.py'
2025-03-21T20:25:03.6459949Z   adding 'executorch/examples/models/llama/experimental/test_subclass.py'
2025-03-21T20:25:03.6460929Z   adding 'executorch/examples/models/llama/runner/eager.py'
2025-03-21T20:25:03.6461903Z   adding 'executorch/examples/models/llama/runner/generation.py'
2025-03-21T20:25:03.6462649Z   adding 'executorch/examples/models/llama/runner/native.py'
2025-03-21T20:25:03.6463564Z   adding 'executorch/examples/models/llama/source_transformation/__init__.py'
2025-03-21T20:25:03.6464867Z   adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py'
2025-03-21T20:25:03.6466204Z   adding 'executorch/examples/models/llama/source_transformation/attention.py'
2025-03-21T20:25:03.6467456Z   adding 'executorch/examples/models/llama/source_transformation/attention_sink.py'
2025-03-21T20:25:03.6468660Z   adding 'executorch/examples/models/llama/source_transformation/lora.py'
2025-03-21T20:25:03.6469915Z   adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py'
2025-03-21T20:25:03.6470859Z   adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py'
2025-03-21T20:25:03.6472068Z   adding 'executorch/examples/models/llama/source_transformation/quantize.py'
2025-03-21T20:25:03.6473187Z   adding 'executorch/examples/models/llama/source_transformation/quantized_kv_cache.py'
2025-03-21T20:25:03.6474462Z   adding 'executorch/examples/models/llama/source_transformation/rms_norm.py'
2025-03-21T20:25:03.6475802Z   adding 'executorch/examples/models/llama/source_transformation/rope.py'
2025-03-21T20:25:03.6476877Z   adding 'executorch/examples/models/llama/source_transformation/sdpa.py'
2025-03-21T20:25:03.6478031Z   adding 'executorch/examples/models/llama/source_transformation/spin_quant.py'
2025-03-21T20:25:03.6479302Z   adding 'executorch/examples/models/llama/source_transformation/test_attention_sink.py'
2025-03-21T20:25:03.6480718Z   adding 'executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py'
2025-03-21T20:25:03.6482241Z   adding 'executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py'
2025-03-21T20:25:03.6483684Z   adding 'executorch/examples/models/llama/source_transformation/vulkan_rope.py'
2025-03-21T20:25:03.6484613Z   adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py'
2025-03-21T20:25:03.6485813Z   adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py'
2025-03-21T20:25:03.6486888Z   adding 'executorch/examples/models/llama/tests/test_static_attention.py'
2025-03-21T20:25:03.6487907Z   adding 'executorch/examples/models/llama/tokenizer/tiktoken.py'
2025-03-21T20:25:03.6488458Z   adding 'executorch/examples/models/llama3_2_vision/__init__.py'
2025-03-21T20:25:03.6489365Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py'
2025-03-21T20:25:03.6490561Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py'
2025-03-21T20:25:03.6491480Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py'
2025-03-21T20:25:03.6492453Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py'
2025-03-21T20:25:03.6493590Z   adding 'executorch/examples/models/llama3_2_vision/runner/eager.py'
2025-03-21T20:25:03.6852252Z   adding 'executorch/examples/models/llama3_2_vision/runner/exported.py'
2025-03-21T20:25:03.6853302Z   adding 'executorch/examples/models/llama3_2_vision/runner/generation.py'
2025-03-21T20:25:03.6853977Z   adding 'executorch/examples/models/llama3_2_vision/runner/native.py'
2025-03-21T20:25:03.6854576Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py'
2025-03-21T20:25:03.6855425Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py'
2025-03-21T20:25:03.6856722Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py'
2025-03-21T20:25:03.6857768Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py'
2025-03-21T20:25:03.6858423Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py'
2025-03-21T20:25:03.6859095Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py'
2025-03-21T20:25:03.6859840Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-03-21T20:25:03.6860460Z   adding 'executorch/examples/models/llava/__init__.py'
2025-03-21T20:25:03.6860912Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-03-21T20:25:03.6861461Z   adding 'executorch/examples/models/llava/image_util.py'
2025-03-21T20:25:03.6861906Z   adding 'executorch/examples/models/llava/model.py'
2025-03-21T20:25:03.6862371Z   adding 'executorch/examples/models/llava/test/test_llava.py'
2025-03-21T20:25:03.6862870Z   adding 'executorch/examples/models/llava/test/test_pte.py'
2025-03-21T20:25:03.6863323Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-03-21T20:25:03.6863765Z   adding 'executorch/examples/models/lstm/model.py'
2025-03-21T20:25:03.6864221Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-03-21T20:25:03.6864701Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-03-21T20:25:03.6865187Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2025-03-21T20:25:03.6865715Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2025-03-21T20:25:03.6866206Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:25:03.6866680Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:25:03.6867166Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-03-21T20:25:03.6867660Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-03-21T20:25:03.6868137Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-03-21T20:25:03.6868653Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
2025-03-21T20:25:03.6869193Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
2025-03-21T20:25:03.6869695Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-03-21T20:25:03.6870242Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-03-21T20:25:03.6870773Z   adding 'executorch/examples/models/phi-4-mini/__init__.py'
2025-03-21T20:25:03.6871291Z   adding 'executorch/examples/models/phi-4-mini/convert_weights.py'
2025-03-21T20:25:03.6871803Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-03-21T20:25:03.6872283Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-03-21T20:25:03.6872771Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-03-21T20:25:03.6873213Z   adding 'executorch/examples/models/resnet/model.py'
2025-03-21T20:25:03.6873640Z   adding 'executorch/examples/models/test/__init__.py'
2025-03-21T20:25:03.6874094Z   adding 'executorch/examples/models/test/test_export.py'
2025-03-21T20:25:03.6874591Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2025-03-21T20:25:03.6875334Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2025-03-21T20:25:03.6876006Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-03-21T20:25:03.6876479Z   adding 'executorch/examples/models/toy_model/model.py'
2025-03-21T20:25:03.6876948Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:25:03.6877431Z   adding 'executorch/examples/models/wav2letter/model.py'
2025-03-21T20:25:03.6877834Z   adding 'executorch/exir/__init__.py'
2025-03-21T20:25:03.6878292Z   adding 'executorch/exir/_warnings.py'
2025-03-21T20:25:03.6878848Z   adding 'executorch/exir/common.py'
2025-03-21T20:25:03.6879423Z   adding 'executorch/exir/control_flow.py'
2025-03-21T20:25:03.6880041Z   adding 'executorch/exir/delegate.py'
2025-03-21T20:25:03.6880593Z   adding 'executorch/exir/delegate.pyi'
2025-03-21T20:25:03.6881047Z   adding 'executorch/exir/dim_order_utils.py'
2025-03-21T20:25:03.6881538Z   adding 'executorch/exir/dynamic_shape.py'
2025-03-21T20:25:03.6881914Z   adding 'executorch/exir/error.py'
2025-03-21T20:25:03.6882245Z   adding 'executorch/exir/graph.py'
2025-03-21T20:25:03.6882575Z   adding 'executorch/exir/graph_module.py'
2025-03-21T20:25:03.6882967Z   adding 'executorch/exir/lowered_backend_module.py'
2025-03-21T20:25:03.6883351Z   adding 'executorch/exir/memory.py'
2025-03-21T20:25:03.6883703Z   adding 'executorch/exir/memory_planning.py'
2025-03-21T20:25:03.6884074Z   adding 'executorch/exir/pass_base.py'
2025-03-21T20:25:03.6884415Z   adding 'executorch/exir/pass_manager.py'
2025-03-21T20:25:03.6884785Z   adding 'executorch/exir/print_program.py'
2025-03-21T20:25:03.6885149Z   adding 'executorch/exir/scalar_type.py'
2025-03-21T20:25:03.6885500Z   adding 'executorch/exir/schema.py'
2025-03-21T20:25:03.6885836Z   adding 'executorch/exir/sym_util.py'
2025-03-21T20:25:03.6886164Z   adding 'executorch/exir/tensor.py'
2025-03-21T20:25:03.6886498Z   adding 'executorch/exir/tracer.py'
2025-03-21T20:25:03.6886835Z   adding 'executorch/exir/types.py'
2025-03-21T20:25:03.6887175Z   adding 'executorch/exir/version.py'
2025-03-21T20:25:03.6887511Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:25:03.6887853Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:25:03.6888247Z   adding 'executorch/exir/_serialize/_cord.py'
2025-03-21T20:25:03.6888645Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-03-21T20:25:03.6889063Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:25:03.6889504Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:25:03.6889940Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:25:03.6890337Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:25:03.6890772Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:25:03.6891201Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:25:03.6891607Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:25:03.6892024Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:25:03.6892448Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:25:03.6892884Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:25:03.6893352Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:25:03.6893873Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:25:03.6894384Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:25:03.6894810Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:25:03.6895357Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:25:03.6896077Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:25:03.6896863Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:25:03.6897559Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:25:03.6898123Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:25:03.6898649Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:25:03.6899606Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:25:03.6900346Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:25:03.6901065Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:25:03.6902009Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:25:03.6903044Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:25:03.6904001Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:25:03.6904708Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:25:03.6905219Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:25:03.6905707Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:25:03.6906261Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:25:03.6906935Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:25:03.6907417Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:25:03.6908032Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:25:03.6908646Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:25:03.6909149Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:25:03.6909672Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:25:03.6910206Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:25:03.6910953Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:25:03.6911488Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:25:03.6911950Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:25:03.6912385Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:25:03.6912882Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:25:03.6913465Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:25:03.6914080Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:25:03.6914749Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:25:03.6915325Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:25:03.6915761Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:25:03.6916137Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:25:03.6916523Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:25:03.6916902Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:25:03.6917284Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:25:03.6917840Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:25:03.6918259Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:25:03.6918745Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:25:03.6919222Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:25:03.6919617Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:25:03.6920032Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:25:03.6920440Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:25:03.6920870Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:25:03.6921332Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:25:03.6921791Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:25:03.6922212Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:25:03.6922642Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:25:03.6923117Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:25:03.6923679Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:25:03.6924366Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:25:03.6924843Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:25:03.6925348Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:25:03.7826611Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:25:03.7827640Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:25:03.7828111Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:25:03.7828487Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:25:03.7828867Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:25:03.7829262Z   adding 'executorch/exir/operator/convert.py'
2025-03-21T20:25:03.7829636Z   adding 'executorch/exir/operator/manip.py'
2025-03-21T20:25:03.7829998Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:25:03.7830506Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-03-21T20:25:03.7830959Z   adding 'executorch/exir/passes/__init__.py'
2025-03-21T20:25:03.7831432Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-03-21T20:25:03.7832040Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:25:03.7832477Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:25:03.7832943Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:25:03.7833443Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:25:03.7833926Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:25:03.7834522Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:25:03.7835032Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:25:03.7835490Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:25:03.7835986Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:25:03.7836521Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:25:03.7837091Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:25:03.7837569Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:25:03.7838091Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:25:03.7838563Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:25:03.7839030Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:25:03.7839501Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:25:03.7839989Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:25:03.7840503Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:25:03.7841019Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:25:03.7841489Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:25:03.7841968Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:25:03.7842559Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:25:03.7843161Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:25:03.7843685Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:25:03.7844210Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:25:03.7844829Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:25:03.7845277Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-03-21T20:25:03.7845712Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-03-21T20:25:03.7846166Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:25:03.7846637Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:25:03.7847065Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:25:03.7847464Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:25:03.7848191Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:25:03.7848672Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:25:03.7849123Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:25:03.7849588Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:25:03.7849988Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:25:03.7850382Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:25:03.7850877Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:25:03.7851256Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:25:03.7851646Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:25:03.7852017Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:25:03.7852372Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:25:03.7852749Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:25:03.7853129Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:25:03.7853528Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:25:03.7853990Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:25:03.7854388Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:25:03.7854788Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:25:03.7855203Z   adding 'executorch/exir/tests/test_capture.py'
2025-03-21T20:25:03.7855707Z   adding 'executorch/exir/tests/test_common.py'
2025-03-21T20:25:03.7856100Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:25:03.7856514Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:25:03.7857009Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:25:03.7857477Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:25:03.7857879Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:25:03.7858339Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:25:03.7858895Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:25:03.7859503Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:25:03.7860009Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:25:03.7860440Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:25:03.7860851Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-03-21T20:25:03.7861327Z   adding 'executorch/exir/tests/test_passes.py'
2025-03-21T20:25:03.7861732Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:25:03.7862215Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:25:03.7862713Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:25:03.7863165Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:25:03.7863688Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:25:03.7864144Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:25:03.7864569Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:25:03.7864962Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:25:03.7865348Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:25:03.7865751Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:25:03.7866153Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:25:03.7866639Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:25:03.7867069Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:25:03.7867502Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:25:03.7867933Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:25:03.7868361Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:25:03.7868805Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:25:03.7869381Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:25:03.7869926Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:25:03.7870452Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:25:03.7870979Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:25:03.7871450Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:25:03.7871992Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:25:03.7872577Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:25:03.7873165Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:25:03.7873716Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:25:03.7874256Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:25:03.7874742Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:25:03.7875283Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:25:03.7875896Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:25:03.7876420Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:25:03.7876950Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:25:03.7877414Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:25:03.7877948Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:25:03.7878500Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:25:03.7879127Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:25:03.7879690Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:25:03.7880300Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:25:03.7880897Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:25:03.7881470Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:25:03.7882090Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:25:03.7882799Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:25:03.7883486Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:25:03.7884040Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:25:03.7884462Z   adding 'executorch/extension/llm/export/builder.py'
2025-03-21T20:25:03.7884915Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-03-21T20:25:03.7885491Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:25:03.7885975Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
2025-03-21T20:25:03.7886468Z   adding 'executorch/extension/llm/export/test_export_passes.py'
2025-03-21T20:25:03.7886938Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-03-21T20:25:03.7887428Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
2025-03-21T20:25:03.7887933Z   adding 'executorch/extension/llm/modules/attention.py'
2025-03-21T20:25:03.7888387Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:25:03.7888843Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:25:03.7889342Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:25:03.7889875Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:25:03.7890454Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:25:03.7891107Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:25:03.7891580Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:25:03.7892065Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:25:03.7892506Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:25:03.7893002Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:25:03.7893504Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:25:03.7894253Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:25:03.7894990Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:25:04.3339329Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:25:04.3340515Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:25:04.3341291Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:25:04.3342054Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:25:04.3342794Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py'
2025-03-21T20:25:04.3343509Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py'
2025-03-21T20:25:04.3344331Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py'
2025-03-21T20:25:04.3345154Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py'
2025-03-21T20:25:04.3345951Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py'
2025-03-21T20:25:04.3346836Z   adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py'
2025-03-21T20:25:04.3347793Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py'
2025-03-21T20:25:04.3348616Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py'
2025-03-21T20:25:04.3349648Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py'
2025-03-21T20:25:04.3350568Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py'
2025-03-21T20:25:04.3351528Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py'
2025-03-21T20:25:04.3352317Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py'
2025-03-21T20:25:04.3352985Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py'
2025-03-21T20:25:04.3353802Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py'
2025-03-21T20:25:04.3354474Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py'
2025-03-21T20:25:04.3355286Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py'
2025-03-21T20:25:04.3356202Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py'
2025-03-21T20:25:04.3356976Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py'
2025-03-21T20:25:04.3357676Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py'
2025-03-21T20:25:04.3358418Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py'
2025-03-21T20:25:04.3359277Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py'
2025-03-21T20:25:04.3360240Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py'
2025-03-21T20:25:04.3361289Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py'
2025-03-21T20:25:04.3362387Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py'
2025-03-21T20:25:04.3363577Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py'
2025-03-21T20:25:04.3364454Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py'
2025-03-21T20:25:04.3365222Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:25:04.3366056Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so'
2025-03-21T20:25:04.3366983Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-03-21T20:25:04.3367468Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:25:04.3367956Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-03-21T20:25:04.3368657Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
2025-03-21T20:25:04.3369301Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:25:04.3369850Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:25:04.3370340Z   adding 'executorch/extension/pytree/test/test.py'
2025-03-21T20:25:04.3370826Z   adding 'executorch/extension/training/__init__.py'
2025-03-21T20:25:04.3371327Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:25:04.3371874Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:25:04.3372550Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:25:04.3373210Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:25:04.3373784Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:25:04.3374478Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:25:04.3375201Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:25:04.3376121Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:25:04.3376902Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:25:04.3377542Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:25:04.3378129Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:25:04.3378737Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:25:04.3379343Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:25:04.3380160Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:25:04.3380849Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:25:04.3381570Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:25:04.3382184Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:25:04.3382856Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:25:04.3383463Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:25:04.3383961Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:25:04.3384461Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:25:04.3384994Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:25:04.3385716Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:25:04.3386442Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:25:04.3387091Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-03-21T20:25:04.3387705Z   adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h'
2025-03-21T20:25:04.3388338Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:25:04.3389009Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:25:04.3389699Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:25:04.3390203Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:25:04.3390751Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:25:04.3391320Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:25:04.3392057Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-03-21T20:25:04.3392960Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-03-21T20:25:04.3393778Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-03-21T20:25:04.3394558Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-03-21T20:25:04.3395376Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-03-21T20:25:04.3396100Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-03-21T20:25:04.3396861Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-03-21T20:25:04.3397764Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-03-21T20:25:04.3398508Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-03-21T20:25:04.3399185Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-03-21T20:25:04.3400072Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-03-21T20:25:04.3400835Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-03-21T20:25:04.3401566Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-03-21T20:25:04.3402220Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:25:04.3402919Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:25:04.3403561Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:25:04.3404217Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-03-21T20:25:04.3404921Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-03-21T20:25:04.3405585Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-03-21T20:25:04.3406280Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-03-21T20:25:04.3406942Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-03-21T20:25:04.3407605Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-03-21T20:25:04.3408294Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:25:04.3409106Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:25:04.3409879Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:25:04.3410671Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:25:04.3411487Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-03-21T20:25:04.3412287Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-03-21T20:25:07.1957592Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:25:07.1959080Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:25:07.1960579Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-03-21T20:25:07.1962118Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-03-21T20:25:07.1963741Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:25:07.1965285Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:25:07.1966579Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-03-21T20:25:07.1967782Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-03-21T20:25:07.1968994Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-03-21T20:25:07.1971601Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-03-21T20:25:07.1972817Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-03-21T20:25:07.1973879Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-03-21T20:25:07.1974865Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-03-21T20:25:07.1977039Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-03-21T20:25:07.1978155Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-03-21T20:25:07.1979259Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-03-21T20:25:07.1980243Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-03-21T20:25:07.1981320Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-03-21T20:25:07.1982352Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-03-21T20:25:07.1983416Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-03-21T20:25:07.1984404Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-03-21T20:25:07.1985400Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-03-21T20:25:07.1986438Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-03-21T20:25:07.1987412Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:25:07.1988272Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-03-21T20:25:07.1989139Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-03-21T20:25:07.1990012Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:25:07.1991152Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-03-21T20:25:07.1992313Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-03-21T20:25:07.1993321Z   adding 'executorch/runtime/__init__.py'
2025-03-21T20:25:07.1994151Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-03-21T20:25:07.1994984Z   adding 'executorch/runtime/test/test_runtime.py'
2025-03-21T20:25:07.1995750Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:25:07.1996461Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:25:07.1997274Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-03-21T20:25:07.1998176Z   adding 'executorch/util/activation_memory_profiler.py'
2025-03-21T20:25:07.1998827Z   adding 'executorch/util/collect_env.py'
2025-03-21T20:25:07.1999408Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:25:07.2000045Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:25:07.2000722Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
2025-03-21T20:25:07.2001406Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL'
2025-03-21T20:25:07.2002113Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt'
2025-03-21T20:25:07.2002889Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt'
2025-03-21T20:25:07.2003602Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:25:07.2004215Z   removing pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:07.2005242Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:25:07.2006773Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl size=8540631 sha256=7424d9f39a11c2b03606b5df06ae5dd626dc0823a2ce721db156a6888b26c97c
2025-03-21T20:25:07.2008747Z   Stored in directory: /tmp/pip-ephem-wheel-cache-ndx9014p/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-03-21T20:25:07.2009825Z Successfully built executorch
2025-03-21T20:25:07.2010807Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:25:07.2011958Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:25:07.2012847Z   Attempting uninstall: pytest
2025-03-21T20:25:07.2013514Z     Found existing installation: pytest 7.2.0
2025-03-21T20:25:07.2014080Z     Uninstalling pytest-7.2.0:
2025-03-21T20:25:07.2014699Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-03-21T20:25:07.2015485Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-03-21T20:25:07.2016580Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-03-21T20:25:07.2017909Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-03-21T20:25:07.2019062Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-03-21T20:25:07.2020326Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-03-21T20:25:07.2021762Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-03-21T20:25:07.2022726Z       Successfully uninstalled pytest-7.2.0
2025-03-21T20:25:07.2023461Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-03-21T20:25:07.2024251Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-03-21T20:25:07.2024990Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:25:07.2026403Z 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
2025-03-21T20:25:07.2027665Z + pip list
2025-03-21T20:25:07.2028169Z Package                       Version            Editable project location
2025-03-21T20:25:07.2028941Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:25:07.2029606Z alabaster                     0.7.16
2025-03-21T20:25:07.2030075Z attrs                         25.3.0
2025-03-21T20:25:07.2030553Z babel                         2.17.0
2025-03-21T20:25:07.2031023Z beautifulsoup4                4.13.3
2025-03-21T20:25:07.2031519Z breathe                       4.34.0
2025-03-21T20:25:07.2031974Z bs4                           0.0.2
2025-03-21T20:25:07.2032404Z certifi                       2025.1.31
2025-03-21T20:25:07.2032896Z charset-normalizer            3.4.1
2025-03-21T20:25:07.2033377Z cmake                         3.31.6
2025-03-21T20:25:07.2033861Z contourpy                     1.3.1
2025-03-21T20:25:07.2034326Z coverage                      7.7.0
2025-03-21T20:25:07.2034756Z cycler                        0.12.1
2025-03-21T20:25:07.2035219Z docutils                      0.16
2025-03-21T20:25:07.2035705Z exceptiongroup                1.2.2
2025-03-21T20:25:07.2036193Z execnet                       2.1.1
2025-03-21T20:25:07.2036697Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:25:07.2037205Z exhale                        0.2.3
2025-03-21T20:25:07.2037700Z expecttest                    0.1.6
2025-03-21T20:25:07.2038183Z filelock                      3.18.0
2025-03-21T20:25:07.2038681Z flatbuffers                   25.2.10
2025-03-21T20:25:07.2039188Z fonttools                     4.56.0
2025-03-21T20:25:07.2039650Z fsspec                        2025.3.0
2025-03-21T20:25:07.2040176Z huggingface-hub               0.29.3
2025-03-21T20:25:07.2040711Z hypothesis                    6.84.2
2025-03-21T20:25:07.2041213Z idna                          3.10
2025-03-21T20:25:07.2041696Z imagesize                     1.4.1
2025-03-21T20:25:07.2042171Z iniconfig                     2.1.0
2025-03-21T20:25:07.2042654Z Jinja2                        3.1.6
2025-03-21T20:25:07.2043159Z kiwisolver                    1.4.8
2025-03-21T20:25:07.2043664Z lxml                          5.3.1
2025-03-21T20:25:07.2044182Z markdown-it-py                2.2.0
2025-03-21T20:25:07.2044676Z MarkupSafe                    3.0.2
2025-03-21T20:25:07.2045187Z matplotlib                    3.10.1
2025-03-21T20:25:07.2045715Z mdit-py-plugins               0.3.5
2025-03-21T20:25:07.2046242Z mdurl                         0.1.2
2025-03-21T20:25:07.2046912Z mpmath                        1.3.0
2025-03-21T20:25:07.2047504Z myst-parser                   0.18.1
2025-03-21T20:25:07.2048143Z networkx                      3.4.2
2025-03-21T20:25:07.2048740Z numpy                         2.2.4
2025-03-21T20:25:07.2049353Z nvidia-cublas-cu12            12.1.3.1
2025-03-21T20:25:07.2049988Z nvidia-cuda-cupti-cu12        12.1.105
2025-03-21T20:25:07.2050648Z nvidia-cuda-nvrtc-cu12        12.1.105
2025-03-21T20:25:07.2051296Z nvidia-cuda-runtime-cu12      12.1.105
2025-03-21T20:25:07.2051927Z nvidia-cudnn-cu12             9.1.0.70
2025-03-21T20:25:07.2052536Z nvidia-cufft-cu12             11.0.2.54
2025-03-21T20:25:07.2053161Z nvidia-curand-cu12            10.3.2.106
2025-03-21T20:25:07.2053789Z nvidia-cusolver-cu12          11.4.5.107
2025-03-21T20:25:07.2054431Z nvidia-cusparse-cu12          12.1.0.106
2025-03-21T20:25:07.2055046Z nvidia-nccl-cu12              2.20.5
2025-03-21T20:25:07.2055653Z nvidia-nvjitlink-cu12         12.8.93
2025-03-21T20:25:07.2056278Z nvidia-nvtx-cu12              12.1.105
2025-03-21T20:25:07.2056880Z packaging                     24.2
2025-03-21T20:25:07.2057439Z pandas                        2.2.3
2025-03-21T20:25:07.2058003Z parameterized                 0.9.0
2025-03-21T20:25:07.2058624Z pillow                        11.1.0
2025-03-21T20:25:07.2059232Z pip                           25.0
2025-03-21T20:25:07.2059841Z pluggy                        1.5.0
2025-03-21T20:25:07.2060461Z Pygments                      2.19.1
2025-03-21T20:25:07.2061091Z pyparsing                     3.2.1
2025-03-21T20:25:07.2061803Z pytest                        8.3.5
2025-03-21T20:25:07.2062411Z pytest-cov                    4.1.0
2025-03-21T20:25:07.2063063Z pytest-rerunfailures          15.0
2025-03-21T20:25:07.2063622Z pytest-xdist                  3.6.1
2025-03-21T20:25:07.2064168Z python-dateutil               2.9.0.post0
2025-03-21T20:25:07.2064914Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:25:07.2065700Z pytz                          2025.1
2025-03-21T20:25:07.2066292Z PyYAML                        6.0.1
2025-03-21T20:25:07.2066887Z regex                         2024.11.6
2025-03-21T20:25:07.2067503Z requests                      2.32.3
2025-03-21T20:25:07.2068111Z ruamel.yaml                   0.17.32
2025-03-21T20:25:07.2068735Z ruamel.yaml.clib              0.2.12
2025-03-21T20:25:07.2069337Z safetensors                   0.5.3
2025-03-21T20:25:07.2069946Z setuptools                    75.8.0
2025-03-21T20:25:07.2070465Z six                           1.17.0
2025-03-21T20:25:07.2070995Z snowballstemmer               2.2.0
2025-03-21T20:25:07.2071537Z sortedcontainers              2.4.0
2025-03-21T20:25:07.2072062Z soupsieve                     2.6
2025-03-21T20:25:07.2072578Z Sphinx                        5.3.0
2025-03-21T20:25:07.2073103Z sphinx-copybutton             0.5.0
2025-03-21T20:25:07.2073611Z sphinx_design                 0.4.1
2025-03-21T20:25:07.2074121Z sphinx-gallery                0.14.0
2025-03-21T20:25:07.2074710Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:25:07.2075289Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:25:07.2076064Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:25:07.2076631Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:25:07.2077176Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:25:07.2077768Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:25:12.5571070Z sympy                         1.13.3
2025-03-21T20:25:12.5571714Z tabulate                      0.9.0
2025-03-21T20:25:12.5572440Z timm                          1.0.7
2025-03-21T20:25:12.5572920Z tokenizers                    0.21.1
2025-03-21T20:25:12.5573420Z tomli                         2.0.1
2025-03-21T20:25:12.5573960Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:25:12.5574550Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:25:12.5575169Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:25:12.5575928Z torchsr                       1.0.4
2025-03-21T20:25:12.5576966Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:25:12.5577562Z tqdm                          4.67.1
2025-03-21T20:25:12.5578090Z transformers                  4.47.1
2025-03-21T20:25:12.5578590Z triton                        3.0.0
2025-03-21T20:25:12.5579072Z typing_extensions             4.12.2
2025-03-21T20:25:12.5579594Z tzdata                        2025.1
2025-03-21T20:25:12.5580116Z urllib3                       2.3.0
2025-03-21T20:25:12.5580641Z wheel                         0.45.1
2025-03-21T20:25:12.5581158Z zstd                          1.5.5.1
2025-03-21T20:25:12.5581755Z + build_executorch_runner cmake Release
2025-03-21T20:25:12.5582283Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:25:12.5582745Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:25:12.5583241Z + build_executorch_runner_cmake Release
2025-03-21T20:25:12.5583792Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:25:12.5584301Z + clean_executorch_install_folders
2025-03-21T20:25:12.5584851Z + ./install_executorch.sh --clean
2025-03-21T20:25:12.5585388Z Cleaning build artifacts...
2025-03-21T20:25:12.5585862Z Cleaning pip-out/...
2025-03-21T20:25:12.5586309Z Cleaning cmake-out/...
2025-03-21T20:25:12.5598770Z Done cleaning build artifacts.
2025-03-21T20:25:12.5599417Z + mkdir cmake-out
2025-03-21T20:25:12.5599835Z + pushd cmake-out
2025-03-21T20:25:12.5600356Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:25:12.5601018Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:25:12.5601486Z + CXXFLAGS=
2025-03-21T20:25:12.5601860Z + CXXFLAGS=
2025-03-21T20:25:12.5602450Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:25:12.5603362Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:25:12.5604145Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:25:12.5604804Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:25:12.5605461Z -- Detecting C compiler ABI info
2025-03-21T20:25:12.5605973Z -- Detecting C compiler ABI info - done
2025-03-21T20:25:12.5606694Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:25:12.5607414Z -- Detecting C compile features
2025-03-21T20:25:12.5607969Z -- Detecting C compile features - done
2025-03-21T20:25:12.5608557Z -- Detecting CXX compiler ABI info
2025-03-21T20:25:12.5609096Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:25:12.5609821Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:25:12.5610553Z -- Detecting CXX compile features
2025-03-21T20:25:12.5611128Z -- Detecting CXX compile features - done
2025-03-21T20:25:12.5612566Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:12.5613868Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:12.5614629Z   CMake.
2025-03-21T20:25:12.5614854Z 
2025-03-21T20:25:12.5615290Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:12.5616386Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:12.5617303Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:12.5617792Z 
2025-03-21T20:25:12.5618059Z 
2025-03-21T20:25:12.5619222Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:12.5620574Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:12.5621455Z   CMake.
2025-03-21T20:25:12.5621671Z 
2025-03-21T20:25:12.5622103Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:12.5623106Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:12.5623979Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:12.5624441Z 
2025-03-21T20:25:12.5624703Z 
2025-03-21T20:25:12.5625171Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:25:12.5626030Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:25:12.5626815Z -- Found Threads: TRUE
2025-03-21T20:25:12.5628179Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:12.5629671Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:12.5630510Z   CMake.
2025-03-21T20:25:12.5630753Z 
2025-03-21T20:25:12.5631190Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:12.5632279Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:12.5633212Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:12.5633714Z 
2025-03-21T20:25:12.5633939Z 
2025-03-21T20:25:12.5634357Z -- Using python executable 'python'
2025-03-21T20:25:12.5634953Z -- Resolved buck2 as buck2.
2025-03-21T20:25:12.5635469Z -- Killing buck2 daemon
2025-03-21T20:25:12.5636258Z 'buck2 killall'
2025-03-21T20:25:12.5636722Z -- executorch: Generating source lists
2025-03-21T20:25:12.5637642Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:25:12.5638877Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:25:12.5639766Z -- executorch: Using PAL default 'posix'
2025-03-21T20:25:12.5640333Z -- Generating operator lib:
2025-03-21T20:25:12.5640835Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:12.5641531Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:25:12.5642275Z --   ROOT_OPS: 
2025-03-21T20:25:12.5642688Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:25:12.5645082Z 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"
2025-03-21T20:25:12.5647209Z -- Generating kernel bindings:
2025-03-21T20:25:12.5647768Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:12.5648477Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:25:12.5649266Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:25:12.5649754Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:25:12.5652929Z 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
2025-03-21T20:25:12.5655687Z -- Generating operator lib:
2025-03-21T20:25:12.5656195Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:12.5656688Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:25:12.5657218Z --   DEPS: executorch
2025-03-21T20:25:12.5658295Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:25:12.5659524Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:12.5660290Z   CMake.
2025-03-21T20:25:12.5660494Z 
2025-03-21T20:25:12.5660901Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:12.5661970Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:12.5662851Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:12.5663319Z 
2025-03-21T20:25:12.5663571Z 
2025-03-21T20:25:12.5663964Z -- Looking for C++ include unistd.h
2025-03-21T20:25:12.5664558Z -- Looking for C++ include unistd.h - found
2025-03-21T20:25:12.5665130Z -- Looking for C++ include stdint.h
2025-03-21T20:25:12.5665666Z -- Looking for C++ include stdint.h - found
2025-03-21T20:25:12.5666272Z -- Looking for C++ include inttypes.h
2025-03-21T20:25:12.5666893Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:25:12.5667465Z -- Looking for C++ include sys/types.h
2025-03-21T20:25:12.5667816Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:25:12.5668320Z -- Looking for C++ include sys/stat.h
2025-03-21T20:25:12.5668746Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:25:12.5669174Z -- Looking for C++ include fnmatch.h
2025-03-21T20:25:12.5669699Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:25:12.5670474Z -- Looking for C++ include stddef.h
2025-03-21T20:25:12.5671004Z -- Looking for C++ include stddef.h - found
2025-03-21T20:25:12.5671574Z -- Check size of uint32_t
2025-03-21T20:25:12.5672073Z -- Check size of uint32_t - done
2025-03-21T20:25:12.5672564Z -- Looking for strtoll
2025-03-21T20:25:12.5673006Z -- Looking for strtoll - found
2025-03-21T20:25:12.5673482Z -- 
2025-03-21T20:25:12.5673864Z -- ******** Summary ********
2025-03-21T20:25:12.5674413Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:25:12.5675038Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:25:12.5675784Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:25:12.5676404Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:25:12.5677003Z --   BUCK2                         : buck2
2025-03-21T20:25:12.5677600Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:25:12.5678504Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:25:12.5679454Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:25:12.5680156Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:25:12.5680858Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:25:12.5681530Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:25:12.5682211Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:25:12.5682855Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:25:12.5683499Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:25:12.5684121Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:25:12.5684772Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:25:12.5685431Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:25:12.5686113Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:25:12.5686801Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:25:12.5687466Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:25:12.5688118Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:25:12.5688798Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:25:12.5689474Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:25:12.5690157Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:25:12.5690815Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:25:12.5691459Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:25:12.5692112Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:25:12.5692771Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:25:12.5693433Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:25:12.5694138Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:25:12.5694853Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:25:12.5695519Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:25:12.5696010Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:25:12.5696381Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:25:12.5696766Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:25:12.5697145Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:25:12.5697522Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:25:12.5697901Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:25:12.5698266Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:25:12.5698643Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:25:12.5699008Z -- Configuring done (4.9s)
2025-03-21T20:25:12.5699308Z -- Generating done (0.1s)
2025-03-21T20:25:12.5699699Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:25:12.5700291Z + popd
2025-03-21T20:25:12.5700537Z /pytorch/executorch
2025-03-21T20:25:12.5700879Z ++ uname
2025-03-21T20:25:12.5701125Z + '[' Linux == Darwin ']'
2025-03-21T20:25:12.5701480Z ++ nproc
2025-03-21T20:25:12.5701698Z + CMAKE_JOBS=7
2025-03-21T20:25:12.5701968Z + cmake --build cmake-out -j 7
2025-03-21T20:25:12.5702454Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:25:12.5703207Z [  0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:25:13.8373779Z [  0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o
2025-03-21T20:25:13.8375840Z [  0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-03-21T20:25:13.8377742Z [  0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
2025-03-21T20:25:13.8379492Z [  0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
2025-03-21T20:25:13.8381000Z [  0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o
2025-03-21T20:25:13.8382201Z [  1%] No download step for 'flatbuffers'
2025-03-21T20:25:13.8382679Z [  2%] No update step for 'flatbuffers'
2025-03-21T20:25:13.8383159Z [  2%] No patch step for 'flatbuffers'
2025-03-21T20:25:13.8383662Z [  2%] Performing configure step for 'flatbuffers'
2025-03-21T20:25:13.8384090Z CMake Warning:
2025-03-21T20:25:13.8384468Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:25:13.8384836Z 
2025-03-21T20:25:13.8385018Z 
2025-03-21T20:25:13.8385454Z fatal: No names found, cannot describe anything.
2025-03-21T20:25:13.8386255Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:25:13.8386907Z   git describe failed with exit code: 128
2025-03-21T20:25:13.8387306Z 
2025-03-21T20:25:13.8387643Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:25:13.8388297Z Call Stack (most recent call first):
2025-03-21T20:25:13.8388842Z   CMakeLists.txt:5 (include)
2025-03-21T20:25:13.8389192Z 
2025-03-21T20:25:13.8389419Z 
2025-03-21T20:25:13.8389850Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:25:13.8391269Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
2025-03-21T20:25:13.8393145Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o
2025-03-21T20:25:13.8395724Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
2025-03-21T20:25:13.8397614Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o
2025-03-21T20:25:13.8399092Z [  3%] Linking CXX static library libgflags_nothreads.a
2025-03-21T20:25:13.8400541Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/log.c.o
2025-03-21T20:25:13.8401625Z [  4%] Built target gflags_nothreads_static
2025-03-21T20:25:13.8402893Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o
2025-03-21T20:25:13.8404724Z [  4%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o
2025-03-21T20:25:13.8406618Z [  4%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o
2025-03-21T20:25:13.8409374Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:25:13.8412995Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o
2025-03-21T20:25:13.8414146Z -- Detecting CXX compiler ABI info
2025-03-21T20:25:13.8415834Z [  5%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o
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2025-03-21T20:25:13.8420164Z [  5%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o
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2025-03-21T20:25:46.9588078Z Downloading click-8.1.8-py3-none-any.whl (98 kB)
2025-03-21T20:25:46.9588611Z Building wheels for collected packages: rouge-score, sqlitedict, word2number
2025-03-21T20:25:46.9589262Z   Building wheel for rouge-score (setup.py) ... [?25l- done
2025-03-21T20:25:46.9590312Z [?25h  Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24986 sha256=5717727ff2046ab79b8e10253fb6a64134a202b448459f14b8d25a4e0044f896
2025-03-21T20:25:46.9591426Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
2025-03-21T20:25:46.9592208Z   Building wheel for sqlitedict (setup.py) ... [?25l- done
2025-03-21T20:25:46.9593250Z [?25h  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16928 sha256=019d1fb7140dc3b6af5d2f3e53acfdbea5dffa6f1ee167df36734995c9819003
2025-03-21T20:25:46.9594384Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
2025-03-21T20:25:46.9595170Z   Building wheel for word2number (setup.py) ... [?25l- done
2025-03-21T20:25:46.9596521Z [?25h  Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5625 sha256=4efde015b3a3552624b594a4e56c592622cf68a1f21d094fead4bb61837e4e05
2025-03-21T20:25:46.9597649Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b
2025-03-21T20:25:46.9598358Z Successfully built rouge-score sqlitedict word2number
2025-03-21T20:25:46.9600960Z Installing collected packages: word2number, sqlitedict, sentencepiece, zstandard, xxhash, tornado, threadpoolctl, tcolorpy, scipy, pycryptodomex, pybind11, pyarrow, psutil, propcache, portalocker, pathvalidate, numexpr, multidict, more-itertools, jsonlines, joblib, fsspec, frozenlist, dill, colorama, click, chardet, async-timeout, aiohappyeyeballs, absl-py, yarl, tqdm-multiprocess, tiktoken, snakeviz, scikit-learn, sacrebleu, nltk, multiprocess, mbstrdecoder, blobfile, aiosignal, typepy, rouge-score, aiohttp, accelerate, peft, datasets, DataProperty, tabledata, evaluate, pytablewriter, lm_eval
2025-03-21T20:25:46.9603524Z   Attempting uninstall: fsspec
2025-03-21T20:25:46.9603857Z     Found existing installation: fsspec 2025.3.0
2025-03-21T20:25:46.9604233Z     Uninstalling fsspec-2025.3.0:
2025-03-21T20:25:46.9604588Z       Successfully uninstalled fsspec-2025.3.0
2025-03-21T20:25:46.9607868Z Successfully installed DataProperty-1.1.0 absl-py-2.2.0 accelerate-1.5.2 aiohappyeyeballs-2.6.1 aiohttp-3.11.14 aiosignal-1.3.2 async-timeout-5.0.1 blobfile-3.0.0 chardet-5.2.0 click-8.1.8 colorama-0.4.6 datasets-3.4.1 dill-0.3.8 evaluate-0.4.3 frozenlist-1.5.0 fsspec-2024.12.0 joblib-1.4.2 jsonlines-4.0.0 lm_eval-0.4.5 mbstrdecoder-1.1.4 more-itertools-10.6.0 multidict-6.2.0 multiprocess-0.70.16 nltk-3.9.1 numexpr-2.10.2 pathvalidate-3.2.3 peft-0.15.0 portalocker-3.1.1 propcache-0.3.0 psutil-7.0.0 pyarrow-19.0.1 pybind11-2.13.6 pycryptodomex-3.22.0 pytablewriter-1.2.1 rouge-score-0.1.2 sacrebleu-2.5.1 scikit-learn-1.6.1 scipy-1.15.2 sentencepiece-0.2.0 snakeviz-2.2.2 sqlitedict-2.1.0 tabledata-1.3.4 tcolorpy-0.1.7 threadpoolctl-3.6.0 tiktoken-0.9.0 tornado-6.4.2 tqdm-multiprocess-0.0.11 typepy-1.3.4 word2number-1.1 xxhash-3.5.0 yarl-1.18.3 zstandard-0.23.0
2025-03-21T20:25:46.9611278Z Failed to import examples.models due to lm_eval conflict. Removing lm_eval examples module
2025-03-21T20:25:46.9611805Z + PYTHON_EXECUTABLE=python
2025-03-21T20:25:46.9612410Z + bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -mode qnn -dtype fp32 -pt2e_quantize qnn_8a8w
2025-03-21T20:25:46.9613043Z ++ dirname .ci/scripts/test_llama.sh
2025-03-21T20:25:46.9613381Z + source .ci/scripts/utils.sh
2025-03-21T20:25:46.9613676Z + [[ 10 -gt 0 ]]
2025-03-21T20:25:46.9613926Z + case "$1" in
2025-03-21T20:25:46.9614168Z + MODEL_NAME=stories110M
2025-03-21T20:25:46.9614442Z + shift 2
2025-03-21T20:25:46.9614675Z + [[ 8 -gt 0 ]]
2025-03-21T20:25:46.9614921Z + case "$1" in
2025-03-21T20:25:46.9615155Z + BUILD_TOOL=cmake
2025-03-21T20:25:46.9615402Z + shift 2
2025-03-21T20:25:46.9615636Z + [[ 6 -gt 0 ]]
2025-03-21T20:25:46.9615881Z + case "$1" in
2025-03-21T20:25:46.9616125Z + MODE=qnn
2025-03-21T20:25:46.9616341Z + shift 2
2025-03-21T20:25:46.9616568Z + [[ 4 -gt 0 ]]
2025-03-21T20:25:46.9616811Z + case "$1" in
2025-03-21T20:25:46.9617053Z + DTYPE=fp32
2025-03-21T20:25:46.9617293Z + shift 2
2025-03-21T20:25:46.9617502Z + [[ 2 -gt 0 ]]
2025-03-21T20:25:46.9617741Z + case "$1" in
2025-03-21T20:25:46.9617989Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:25:46.9618259Z + shift 2
2025-03-21T20:25:46.9618469Z + [[ 0 -gt 0 ]]
2025-03-21T20:25:46.9618702Z + MODE=qnn
2025-03-21T20:25:46.9618929Z + UPLOAD_DIR=
2025-03-21T20:25:46.9619178Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:25:46.9619459Z + CMAKE_BUILD_TYPE=Release
2025-03-21T20:25:46.9619723Z + [[ 0 -lt 4 ]]
2025-03-21T20:25:46.9620015Z + echo 'Expecting atleast 4 positional arguments'
2025-03-21T20:25:46.9620406Z Expecting atleast 4 positional arguments
2025-03-21T20:25:46.9620745Z + echo 'Usage: [...]'
2025-03-21T20:25:46.9621008Z Usage: [...]
2025-03-21T20:25:46.9621412Z + [[ -z stories110M ]]
2025-03-21T20:25:46.9621746Z + [[ -z cmake ]]
2025-03-21T20:25:46.9621996Z + [[ -z fp32 ]]
2025-03-21T20:25:46.9622238Z + [[ -z qnn ]]
2025-03-21T20:25:46.9622475Z + [[ qnn =~ .*xnnpack.* ]]
2025-03-21T20:25:46.9622751Z + XNNPACK=OFF
2025-03-21T20:25:46.9622999Z + [[ qnn =~ .*custom.* ]]
2025-03-21T20:25:46.9623269Z + CUSTOM=OFF
2025-03-21T20:25:46.9623505Z + [[ qnn =~ .*qe.* ]]
2025-03-21T20:25:46.9623744Z + QE=OFF
2025-03-21T20:25:46.9623973Z + [[ qnn =~ .*mps.* ]]
2025-03-21T20:25:46.9624229Z + MPS=OFF
2025-03-21T20:25:46.9624463Z + echo 'MPS option OFF'
2025-03-21T20:25:46.9624736Z MPS option OFF
2025-03-21T20:25:46.9624975Z + [[ qnn =~ .*coreml.* ]]
2025-03-21T20:25:46.9625247Z + COREML=OFF
2025-03-21T20:25:46.9625496Z + [[ qnn =~ .*quantize_kv.* ]]
2025-03-21T20:25:46.9625790Z + QUANTIZE_KV_CACHE=OFF
2025-03-21T20:25:46.9626056Z + echo 'COREML option OFF'
2025-03-21T20:25:46.9626337Z COREML option OFF
2025-03-21T20:25:46.9626588Z + [[ qnn =~ .*qnn.* ]]
2025-03-21T20:25:46.9626848Z + QNN=ON
2025-03-21T20:25:46.9627102Z +++ dirname -- .ci/scripts/test_llama.sh
2025-03-21T20:25:46.9627423Z ++ cd -- .ci/scripts/..
2025-03-21T20:25:46.9627684Z ++ pwd
2025-03-21T20:25:46.9627961Z + export EXECUTORCH_ROOT=/pytorch/executorch/.ci
2025-03-21T20:25:46.9628350Z + EXECUTORCH_ROOT=/pytorch/executorch/.ci
2025-03-21T20:25:46.9628719Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:25:46.9629060Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:25:46.9629483Z + export LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang
2025-03-21T20:25:46.9629990Z + LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang
2025-03-21T20:25:46.9630396Z + export PYTHONPATH=..
2025-03-21T20:25:46.9630671Z + PYTHONPATH=..
2025-03-21T20:25:46.9630967Z + cp schema/program.fbs exir/_serialize/program.fbs
2025-03-21T20:25:46.9631414Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
2025-03-21T20:25:46.9632145Z + cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
2025-03-21T20:25:46.9633130Z + cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
2025-03-21T20:25:46.9633778Z + echo 'QNN option ON'
2025-03-21T20:25:46.9634045Z QNN option ON
2025-03-21T20:25:46.9634304Z + echo 'QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029'
2025-03-21T20:25:46.9634655Z QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029
2025-03-21T20:25:46.9634961Z + [[ -z '' ]]
2025-03-21T20:25:46.9635202Z + BUCK=buck2
2025-03-21T20:25:46.9635440Z + [[ -z python ]]
2025-03-21T20:25:46.9635680Z + which python
2025-03-21T20:25:46.9635943Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:25:46.9636262Z + PARAMS=params.json
2025-03-21T20:25:46.9636543Z + CHECKPOINT_FILE_NAME=
2025-03-21T20:25:46.9636807Z + touch params.json
2025-03-21T20:25:46.9637078Z + [[ stories110M == \l\l\a\m\a ]]
2025-03-21T20:25:46.9637399Z + [[ stories110M == \s\t\o\r\i\e\s* ]]
2025-03-21T20:25:46.9637741Z + CHECKPOINT_FILE_NAME=stories110M.pt
2025-03-21T20:25:46.9638089Z + download_stories_model_artifacts
2025-03-21T20:25:46.9638698Z + curl -Ls https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt --output stories110M.pt
2025-03-21T20:25:46.9639609Z + curl -Ls https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model --output tokenizer.model
2025-03-21T20:25:46.9640232Z + touch params.json
2025-03-21T20:25:46.9640669Z + echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}'
2025-03-21T20:25:46.9641191Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32
2025-03-21T20:25:46.9641533Z + [[ fp32 == \f\p\1\6 ]]
2025-03-21T20:25:46.9641797Z + [[ fp32 == \b\f\1\6 ]]
2025-03-21T20:25:46.9642072Z + [[ fp32 == \f\p\3\2 ]]
2025-03-21T20:25:46.9642335Z + :
2025-03-21T20:25:46.9642602Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32.pte
2025-03-21T20:25:46.9642986Z + echo 'Exporting tinyllama_qnn_fp32.pte'
2025-03-21T20:25:46.9643334Z Exporting tinyllama_qnn_fp32.pte
2025-03-21T20:25:46.9643964Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv'
2025-03-21T20:25:46.9644464Z + [[ OFF == \O\N ]]
2025-03-21T20:25:46.9644719Z + [[ OFF == \O\N ]]
2025-03-21T20:25:46.9644974Z + [[ OFF == \O\N ]]
2025-03-21T20:25:46.9645210Z + [[ OFF == \O\N ]]
2025-03-21T20:25:46.9645461Z + [[ OFF == \O\N ]]
2025-03-21T20:25:46.9645714Z + [[ ON == \O\N ]]
2025-03-21T20:26:07.3244741Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape'
2025-03-21T20:26:07.3250051Z + echo 'PT2E_QUANTIZE is qnn_8a8w'
2025-03-21T20:26:07.3250800Z PT2E_QUANTIZE is qnn_8a8w
2025-03-21T20:26:07.3251227Z + [[ qnn_8a8w == \q\n\n\_\1\6\a\1\6\w ]]
2025-03-21T20:26:07.3251771Z + [[ OFF == \O\N ]]
2025-03-21T20:26:07.3253126Z + python -m examples.models.llama.export_llama -c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape
2025-03-21T20:26:07.3254703Z [INFO 2025-03-21 20:25:51,109 utils.py:162] NumExpr defaulting to 8 threads.
2025-03-21T20:26:07.3255583Z [INFO 2025-03-21 20:25:51,581 export_llama_lib.py:627] Applying quantizers: []
2025-03-21T20:26:07.3256909Z [INFO 2025-03-21 20:25:51,581 export_llama_lib.py:992] Loading model with checkpoint=stories110M.pt, params=params.json, use_kv_cache=True, weight_type=WeightType.LLAMA
2025-03-21T20:26:07.3259876Z [INFO 2025-03-21 20:25:52,371 builder.py:161] Applied source transforms: [<function replace_kv_cache_with_simple_kv_cache at 0x7fe6410b1360>, <function replace_sdpa_with_flex_sdpa at 0x7fe6410a3010>, <function replace_causal_mask at 0x7fe6410b1510>, <function replace_rms_norm_with_native_rms_norm at 0x7fe6410a16c0>, <function convert_linear_to_conv2d at 0x7fe624bab5b0>]
2025-03-21T20:26:07.3262477Z [INFO 2025-03-21 20:25:52,372 builder.py:162] Model after source transforms: Transformer(
2025-03-21T20:26:07.3263269Z   (tok_embeddings): Embedding(32000, 768)
2025-03-21T20:26:07.3263739Z   (rope): Rope(
2025-03-21T20:26:07.3264118Z     (apply_rotary_emb): RotaryEmbedding()
2025-03-21T20:26:07.3264570Z   )
2025-03-21T20:26:07.3264882Z   (layers): ModuleList(
2025-03-21T20:26:07.3265287Z     (0-11): 12 x TransformerBlock(
2025-03-21T20:26:07.3265775Z       (attention): AttentionMHA(
2025-03-21T20:26:07.3266234Z         (wq): Conv2D(
2025-03-21T20:26:07.3266753Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3267369Z         )
2025-03-21T20:26:07.3267688Z         (wk): Conv2D(
2025-03-21T20:26:07.3268230Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3268898Z         )
2025-03-21T20:26:07.3269288Z         (wv): Conv2D(
2025-03-21T20:26:07.3269831Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3270446Z         )
2025-03-21T20:26:07.3270857Z         (wo): Conv2D(
2025-03-21T20:26:07.3271443Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3272140Z         )
2025-03-21T20:26:07.3272493Z         (rope): Rope(
2025-03-21T20:26:07.3272942Z           (apply_rotary_emb): RotaryEmbedding()
2025-03-21T20:26:07.3273499Z         )
2025-03-21T20:26:07.3273935Z         (kv_cache): KVCacheSimple()
2025-03-21T20:26:07.3274394Z         (SDPA): SDPAFlex()
2025-03-21T20:26:07.3274775Z       )
2025-03-21T20:26:07.3275126Z       (feed_forward): FeedForward(
2025-03-21T20:26:07.3275552Z         (w1): Conv2D(
2025-03-21T20:26:07.3276229Z           (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3276830Z         )
2025-03-21T20:26:07.3277144Z         (w2): Conv2D(
2025-03-21T20:26:07.3277671Z           (conv): Conv2d(768, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3278276Z         )
2025-03-21T20:26:07.3278602Z         (w3): Conv2D(
2025-03-21T20:26:07.3279082Z           (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3279682Z         )
2025-03-21T20:26:07.3280369Z       )
2025-03-21T20:26:07.3281636Z       (attention_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:07.3282467Z       (ffn_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:07.3283020Z     )
2025-03-21T20:26:07.3283336Z   )
2025-03-21T20:26:07.3283814Z   (norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:07.3284500Z   (output): Conv2D(
2025-03-21T20:26:07.3285050Z     (conv): Conv2d(32000, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:07.3285624Z   )
2025-03-21T20:26:07.3285956Z )
2025-03-21T20:26:07.3287615Z /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.)
2025-03-21T20:26:07.3289520Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:07.3291388Z /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.)
2025-03-21T20:26:07.3293167Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:07.3293737Z [INFO 2025-03-21 20:25:59,279 builder.py:251] Running canonical pass: RemoveRedundantTransposes
2025-03-21T20:26:07.3294783Z [INFO 2025-03-21 20:25:59,344 builder.py:337] Using pt2e [] to quantizing the model...
2025-03-21T20:26:07.3295349Z [INFO 2025-03-21 20:25:59,344 builder.py:388] No quantizer provided, passing...
2025-03-21T20:26:07.3297215Z /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.)
2025-03-21T20:26:07.3299093Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:07.3300808Z /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.)
2025-03-21T20:26:07.3302600Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:07.3303017Z [INFO 2025-03-21 20:26:07,323 utils.py:50] Core ATen graph:
2025-03-21T20:26:07.3303393Z graph():
2025-03-21T20:26:07.3303788Z     %p_tok_embeddings_weight : [num_users=1] = placeholder[target=p_tok_embeddings_weight]
2025-03-21T20:26:07.3305094Z     %p_getattr_l__self___layers___0___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_norm_weight]
2025-03-21T20:26:07.3306490Z     %p_getattr_l__self___layers___0___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_wq_conv_weight]
2025-03-21T20:26:07.3307669Z     %p_getattr_l__self___layers___0___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_wk_conv_weight]
2025-03-21T20:26:07.3308799Z     %p_getattr_l__self___layers___0___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_wv_conv_weight]
2025-03-21T20:26:07.3309909Z     %p_getattr_l__self___layers___0___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_wo_conv_weight]
2025-03-21T20:26:07.3311354Z     %p_getattr_l__self___layers___0___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___ffn_norm_weight]
2025-03-21T20:26:07.3312439Z     %p_getattr_l__self___layers___0___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3313763Z     %p_getattr_l__self___layers___0___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3314884Z     %p_getattr_l__self___layers___0___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3315963Z     %p_getattr_l__self___layers___1___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_norm_weight]
2025-03-21T20:26:07.3317111Z     %p_getattr_l__self___layers___1___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_wq_conv_weight]
2025-03-21T20:26:07.3318200Z     %p_getattr_l__self___layers___1___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_wk_conv_weight]
2025-03-21T20:26:07.3319289Z     %p_getattr_l__self___layers___1___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_wv_conv_weight]
2025-03-21T20:26:07.3320378Z     %p_getattr_l__self___layers___1___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_wo_conv_weight]
2025-03-21T20:26:07.3321397Z     %p_getattr_l__self___layers___1___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___ffn_norm_weight]
2025-03-21T20:26:07.3322426Z     %p_getattr_l__self___layers___1___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3323524Z     %p_getattr_l__self___layers___1___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3324635Z     %p_getattr_l__self___layers___1___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3325721Z     %p_getattr_l__self___layers___2___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_norm_weight]
2025-03-21T20:26:07.3326783Z     %p_getattr_l__self___layers___2___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_wq_conv_weight]
2025-03-21T20:26:07.3327865Z     %p_getattr_l__self___layers___2___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_wk_conv_weight]
2025-03-21T20:26:07.3328951Z     %p_getattr_l__self___layers___2___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_wv_conv_weight]
2025-03-21T20:26:07.3330031Z     %p_getattr_l__self___layers___2___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_wo_conv_weight]
2025-03-21T20:26:07.3331051Z     %p_getattr_l__self___layers___2___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___ffn_norm_weight]
2025-03-21T20:26:07.3332092Z     %p_getattr_l__self___layers___2___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3333200Z     %p_getattr_l__self___layers___2___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3334316Z     %p_getattr_l__self___layers___2___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3335397Z     %p_getattr_l__self___layers___3___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_norm_weight]
2025-03-21T20:26:07.3336461Z     %p_getattr_l__self___layers___3___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_wq_conv_weight]
2025-03-21T20:26:07.3337662Z     %p_getattr_l__self___layers___3___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_wk_conv_weight]
2025-03-21T20:26:07.3338744Z     %p_getattr_l__self___layers___3___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_wv_conv_weight]
2025-03-21T20:26:07.3339828Z     %p_getattr_l__self___layers___3___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_wo_conv_weight]
2025-03-21T20:26:07.3340843Z     %p_getattr_l__self___layers___3___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___ffn_norm_weight]
2025-03-21T20:26:07.3341955Z     %p_getattr_l__self___layers___3___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3343063Z     %p_getattr_l__self___layers___3___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3344185Z     %p_getattr_l__self___layers___3___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3345271Z     %p_getattr_l__self___layers___4___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_norm_weight]
2025-03-21T20:26:07.3346342Z     %p_getattr_l__self___layers___4___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_wq_conv_weight]
2025-03-21T20:26:07.3347429Z     %p_getattr_l__self___layers___4___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_wk_conv_weight]
2025-03-21T20:26:07.3348520Z     %p_getattr_l__self___layers___4___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_wv_conv_weight]
2025-03-21T20:26:07.3349621Z     %p_getattr_l__self___layers___4___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_wo_conv_weight]
2025-03-21T20:26:07.3350644Z     %p_getattr_l__self___layers___4___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___ffn_norm_weight]
2025-03-21T20:26:07.3351687Z     %p_getattr_l__self___layers___4___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3352791Z     %p_getattr_l__self___layers___4___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3353910Z     %p_getattr_l__self___layers___4___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3354998Z     %p_getattr_l__self___layers___5___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_norm_weight]
2025-03-21T20:26:07.3356062Z     %p_getattr_l__self___layers___5___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_wq_conv_weight]
2025-03-21T20:26:07.3357147Z     %p_getattr_l__self___layers___5___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_wk_conv_weight]
2025-03-21T20:26:07.3358231Z     %p_getattr_l__self___layers___5___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_wv_conv_weight]
2025-03-21T20:26:07.3359314Z     %p_getattr_l__self___layers___5___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_wo_conv_weight]
2025-03-21T20:26:07.3360332Z     %p_getattr_l__self___layers___5___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___ffn_norm_weight]
2025-03-21T20:26:07.3361480Z     %p_getattr_l__self___layers___5___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3362589Z     %p_getattr_l__self___layers___5___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3363706Z     %p_getattr_l__self___layers___5___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3364789Z     %p_getattr_l__self___layers___6___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_norm_weight]
2025-03-21T20:26:07.3365853Z     %p_getattr_l__self___layers___6___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_wq_conv_weight]
2025-03-21T20:26:07.3366944Z     %p_getattr_l__self___layers___6___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_wk_conv_weight]
2025-03-21T20:26:07.3368039Z     %p_getattr_l__self___layers___6___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_wv_conv_weight]
2025-03-21T20:26:07.3369132Z     %p_getattr_l__self___layers___6___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_wo_conv_weight]
2025-03-21T20:26:07.3370156Z     %p_getattr_l__self___layers___6___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___ffn_norm_weight]
2025-03-21T20:26:07.3371192Z     %p_getattr_l__self___layers___6___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3372294Z     %p_getattr_l__self___layers___6___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3373417Z     %p_getattr_l__self___layers___6___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3374502Z     %p_getattr_l__self___layers___7___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_norm_weight]
2025-03-21T20:26:07.3375568Z     %p_getattr_l__self___layers___7___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_wq_conv_weight]
2025-03-21T20:26:07.3376847Z     %p_getattr_l__self___layers___7___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_wk_conv_weight]
2025-03-21T20:26:07.3377934Z     %p_getattr_l__self___layers___7___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_wv_conv_weight]
2025-03-21T20:26:07.3379027Z     %p_getattr_l__self___layers___7___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_wo_conv_weight]
2025-03-21T20:26:07.3380043Z     %p_getattr_l__self___layers___7___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___ffn_norm_weight]
2025-03-21T20:26:07.3381066Z     %p_getattr_l__self___layers___7___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3382257Z     %p_getattr_l__self___layers___7___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3383372Z     %p_getattr_l__self___layers___7___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3384588Z     %p_getattr_l__self___layers___8___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_norm_weight]
2025-03-21T20:26:07.3385756Z     %p_getattr_l__self___layers___8___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_wq_conv_weight]
2025-03-21T20:26:07.3386843Z     %p_getattr_l__self___layers___8___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_wk_conv_weight]
2025-03-21T20:26:07.3387925Z     %p_getattr_l__self___layers___8___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_wv_conv_weight]
2025-03-21T20:26:07.3389011Z     %p_getattr_l__self___layers___8___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_wo_conv_weight]
2025-03-21T20:26:07.3390026Z     %p_getattr_l__self___layers___8___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___ffn_norm_weight]
2025-03-21T20:26:07.3391055Z     %p_getattr_l__self___layers___8___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3392175Z     %p_getattr_l__self___layers___8___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3393289Z     %p_getattr_l__self___layers___8___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3394374Z     %p_getattr_l__self___layers___9___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_norm_weight]
2025-03-21T20:26:07.3395445Z     %p_getattr_l__self___layers___9___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_wq_conv_weight]
2025-03-21T20:26:07.3396541Z     %p_getattr_l__self___layers___9___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_wk_conv_weight]
2025-03-21T20:26:07.3397629Z     %p_getattr_l__self___layers___9___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_wv_conv_weight]
2025-03-21T20:26:07.3398712Z     %p_getattr_l__self___layers___9___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_wo_conv_weight]
2025-03-21T20:26:07.3399728Z     %p_getattr_l__self___layers___9___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___ffn_norm_weight]
2025-03-21T20:26:07.3400746Z     %p_getattr_l__self___layers___9___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3401862Z     %p_getattr_l__self___layers___9___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3402981Z     %p_getattr_l__self___layers___9___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3404072Z     %p_getattr_l__self___layers___10___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_norm_weight]
2025-03-21T20:26:07.3405148Z     %p_getattr_l__self___layers___10___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_wq_conv_weight]
2025-03-21T20:26:07.3406243Z     %p_getattr_l__self___layers___10___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_wk_conv_weight]
2025-03-21T20:26:07.3407338Z     %p_getattr_l__self___layers___10___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_wv_conv_weight]
2025-03-21T20:26:07.3408511Z     %p_getattr_l__self___layers___10___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_wo_conv_weight]
2025-03-21T20:26:07.3409595Z     %p_getattr_l__self___layers___10___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___ffn_norm_weight]
2025-03-21T20:26:07.3410631Z     %p_getattr_l__self___layers___10___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3411760Z     %p_getattr_l__self___layers___10___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3412882Z     %p_getattr_l__self___layers___10___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3413974Z     %p_getattr_l__self___layers___11___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_norm_weight]
2025-03-21T20:26:07.3415063Z     %p_getattr_l__self___layers___11___attention_wq_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_wq_conv_weight]
2025-03-21T20:26:07.3416160Z     %p_getattr_l__self___layers___11___attention_wk_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_wk_conv_weight]
2025-03-21T20:26:07.3417248Z     %p_getattr_l__self___layers___11___attention_wv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_wv_conv_weight]
2025-03-21T20:26:07.3418337Z     %p_getattr_l__self___layers___11___attention_wo_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_wo_conv_weight]
2025-03-21T20:26:07.3419364Z     %p_getattr_l__self___layers___11___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___ffn_norm_weight]
2025-03-21T20:26:07.3420395Z     %p_getattr_l__self___layers___11___feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___feed_forward_w1_conv_weight]
2025-03-21T20:26:07.3421582Z     %p_getattr_l__self___layers___11___feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___feed_forward_w3_conv_weight]
2025-03-21T20:26:07.3422703Z     %p_getattr_l__self___layers___11___feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___feed_forward_w2_conv_weight]
2025-03-21T20:26:07.3423526Z     %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2025-03-21T20:26:07.3424088Z     %p_output_conv_weight : [num_users=1] = placeholder[target=p_output_conv_weight]
2025-03-21T20:26:07.3424949Z     %b_getattr_l__self___layers___11___attention_rope_freqs_cos : [num_users=1] = placeholder[target=b_getattr_l__self___layers___11___attention_rope_freqs_cos]
2025-03-21T20:26:07.3426052Z     %b_getattr_l__self___layers___11___attention_rope_freqs_sin : [num_users=1] = placeholder[target=b_getattr_l__self___layers___11___attention_rope_freqs_sin]
2025-03-21T20:26:07.3427197Z     %b_getattr_l__self___layers___0___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___0___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3428379Z     %b_getattr_l__self___layers___0___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___0___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3429449Z     %b_getattr_l__self___layers___0___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___0___attention_mask]
2025-03-21T20:26:07.3430515Z     %b_getattr_l__self___layers___1___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___1___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3431696Z     %b_getattr_l__self___layers___1___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___1___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3432872Z     %b_getattr_l__self___layers___1___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___1___attention_mask]
2025-03-21T20:26:07.3433941Z     %b_getattr_l__self___layers___2___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___2___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3435126Z     %b_getattr_l__self___layers___2___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___2___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3436190Z     %b_getattr_l__self___layers___2___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___2___attention_mask]
2025-03-21T20:26:07.3437259Z     %b_getattr_l__self___layers___3___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___3___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3438449Z     %b_getattr_l__self___layers___3___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___3___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3439503Z     %b_getattr_l__self___layers___3___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___3___attention_mask]
2025-03-21T20:26:07.3440573Z     %b_getattr_l__self___layers___4___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___4___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3441758Z     %b_getattr_l__self___layers___4___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___4___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3442829Z     %b_getattr_l__self___layers___4___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___4___attention_mask]
2025-03-21T20:26:07.3444275Z     %b_getattr_l__self___layers___5___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___5___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3445463Z     %b_getattr_l__self___layers___5___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___5___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3446530Z     %b_getattr_l__self___layers___5___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___5___attention_mask]
2025-03-21T20:26:07.3447600Z     %b_getattr_l__self___layers___6___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___6___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3448782Z     %b_getattr_l__self___layers___6___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___6___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3449835Z     %b_getattr_l__self___layers___6___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___6___attention_mask]
2025-03-21T20:26:07.3450903Z     %b_getattr_l__self___layers___7___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___7___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3452089Z     %b_getattr_l__self___layers___7___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___7___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3453170Z     %b_getattr_l__self___layers___7___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___7___attention_mask]
2025-03-21T20:26:07.3454237Z     %b_getattr_l__self___layers___8___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___8___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3455423Z     %b_getattr_l__self___layers___8___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___8___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3456624Z     %b_getattr_l__self___layers___8___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___8___attention_mask]
2025-03-21T20:26:07.3457697Z     %b_getattr_l__self___layers___9___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___9___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3458885Z     %b_getattr_l__self___layers___9___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___9___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3459958Z     %b_getattr_l__self___layers___9___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___9___attention_mask]
2025-03-21T20:26:07.3461022Z     %b_getattr_l__self___layers___10___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___10___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3462290Z     %b_getattr_l__self___layers___10___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___10___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3463376Z     %b_getattr_l__self___layers___10___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___10___attention_mask]
2025-03-21T20:26:07.3464459Z     %b_getattr_l__self___layers___11___attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___11___attention_kv_cache_past_k_caches]
2025-03-21T20:26:07.3465660Z     %b_getattr_l__self___layers___11___attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_getattr_l__self___layers___11___attention_kv_cache_past_v_caches]
2025-03-21T20:26:07.3466742Z     %b_getattr_l__self___layers___11___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___11___attention_mask]
2025-03-21T20:26:07.3467442Z     %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:26:07.3467972Z     %attn_options_input_pos : [num_users=38] = placeholder[target=attn_options_input_pos]
2025-03-21T20:26:07.3468820Z     %embedding : [num_users=2] = call_function[target=torch.ops.aten.embedding.default](args = (%p_tok_embeddings_weight, %tokens), kwargs = {})
2025-03-21T20:26:07.3470006Z     %index : [num_users=12] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___11___attention_rope_freqs_cos, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.3471313Z     %index_1 : [num_users=12] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___11___attention_rope_freqs_sin, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.3472605Z     %rms_norm : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%embedding, [768], %p_getattr_l__self___layers___0___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3473717Z     %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:07.3474630Z     %transpose : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze, 1, 2), kwargs = {})
2025-03-21T20:26:07.3475863Z     %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose, %p_getattr_l__self___layers___0___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.3476928Z     %transpose_1 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d, 1, 2), kwargs = {})
2025-03-21T20:26:07.3477779Z     %squeeze : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_1, -1), kwargs = {})
2025-03-21T20:26:07.3478665Z     %unsqueeze_1 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:07.3479577Z     %transpose_2 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3480846Z     %conv2d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_2, %p_getattr_l__self___layers___0___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.3481913Z     %transpose_3 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3482784Z     %squeeze_1 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_3, -1), kwargs = {})
2025-03-21T20:26:07.3483667Z     %unsqueeze_2 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:07.3484580Z     %transpose_4 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3485644Z     %conv2d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_4, %p_getattr_l__self___layers___0___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.3486722Z     %transpose_5 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3487599Z     %squeeze_2 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_5, -1), kwargs = {})
2025-03-21T20:26:07.3488469Z     %view : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3489345Z     %view_1 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3490227Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_2, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3491136Z     %_to_copy : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3492056Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3492895Z     %unbind : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_3, -1), kwargs = {})
2025-03-21T20:26:07.3493659Z     %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%unbind, 0), kwargs = {})
2025-03-21T20:26:07.3494391Z     %getitem_1 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind, 1), kwargs = {})
2025-03-21T20:26:07.3495230Z     %_to_copy_1 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_1,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3496160Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_1, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3497016Z     %unbind_1 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_4, -1), kwargs = {})
2025-03-21T20:26:07.3497798Z     %getitem_2 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_1, 0), kwargs = {})
2025-03-21T20:26:07.3498545Z     %getitem_3 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_1, 1), kwargs = {})
2025-03-21T20:26:07.3499353Z     %view_5 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3500214Z     %view_6 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3501054Z     %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem, %view_5), kwargs = {})
2025-03-21T20:26:07.3501934Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_1, %view_6), kwargs = {})
2025-03-21T20:26:07.3502731Z     %sub : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul, %mul_1), kwargs = {})
2025-03-21T20:26:07.3503525Z     %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem, %view_6), kwargs = {})
2025-03-21T20:26:07.3504433Z     %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_1, %view_5), kwargs = {})
2025-03-21T20:26:07.3505228Z     %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_2, %mul_3), kwargs = {})
2025-03-21T20:26:07.3506024Z     %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_2, %view_5), kwargs = {})
2025-03-21T20:26:07.3506838Z     %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_3, %view_6), kwargs = {})
2025-03-21T20:26:07.3507634Z     %sub_1 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_4, %mul_5), kwargs = {})
2025-03-21T20:26:07.3508428Z     %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_2, %view_6), kwargs = {})
2025-03-21T20:26:07.3509243Z     %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_3, %view_5), kwargs = {})
2025-03-21T20:26:07.3510031Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_6, %mul_7), kwargs = {})
2025-03-21T20:26:07.3510842Z     %stack : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub, %add], -1), kwargs = {})
2025-03-21T20:26:07.3511698Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3512562Z     %stack_1 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_1, %add_1], -1), kwargs = {})
2025-03-21T20:26:07.3513434Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3514286Z     %type_as : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_7, %view), kwargs = {})
2025-03-21T20:26:07.3515134Z     %type_as_1 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_8, %view_1), kwargs = {})
2025-03-21T20:26:07.3515989Z     %transpose_6 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as, 1, 2), kwargs = {})
2025-03-21T20:26:07.3517201Z     %index_put : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___0___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_1), kwargs = {})
2025-03-21T20:26:07.3518709Z     %index_put_1 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___0___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_2), kwargs = {})
2025-03-21T20:26:07.3519909Z     %transpose_7 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3520780Z     %select : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_7, 0, 0), kwargs = {})
2025-03-21T20:26:07.3521620Z     %select_1 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select, 0, 0), kwargs = {})
2025-03-21T20:26:07.3522479Z     %transpose_8 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3523353Z     %select_2 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_8, 0, 0), kwargs = {})
2025-03-21T20:26:07.3524174Z     %select_3 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_2, 0, 1), kwargs = {})
2025-03-21T20:26:07.3525034Z     %transpose_9 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3525908Z     %select_4 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_9, 0, 0), kwargs = {})
2025-03-21T20:26:07.3526800Z     %select_5 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_4, 0, 2), kwargs = {})
2025-03-21T20:26:07.3527710Z     %transpose_10 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3528590Z     %select_6 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_10, 0, 0), kwargs = {})
2025-03-21T20:26:07.3529428Z     %select_7 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_6, 0, 3), kwargs = {})
2025-03-21T20:26:07.3530287Z     %transpose_11 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3531152Z     %select_8 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_11, 0, 0), kwargs = {})
2025-03-21T20:26:07.3531988Z     %select_9 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_8, 0, 4), kwargs = {})
2025-03-21T20:26:07.3532856Z     %transpose_12 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3533733Z     %select_10 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_12, 0, 0), kwargs = {})
2025-03-21T20:26:07.3534580Z     %select_11 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_10, 0, 5), kwargs = {})
2025-03-21T20:26:07.3535446Z     %transpose_13 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3536324Z     %select_12 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_13, 0, 0), kwargs = {})
2025-03-21T20:26:07.3537155Z     %select_13 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_12, 0, 6), kwargs = {})
2025-03-21T20:26:07.3538027Z     %transpose_14 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3538911Z     %select_14 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_14, 0, 0), kwargs = {})
2025-03-21T20:26:07.3539757Z     %select_15 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_14, 0, 7), kwargs = {})
2025-03-21T20:26:07.3540626Z     %transpose_15 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3541579Z     %select_16 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_15, 0, 0), kwargs = {})
2025-03-21T20:26:07.3542429Z     %select_17 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_16, 0, 8), kwargs = {})
2025-03-21T20:26:07.3543287Z     %transpose_16 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3544170Z     %select_18 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_16, 0, 0), kwargs = {})
2025-03-21T20:26:07.3545026Z     %select_19 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_18, 0, 9), kwargs = {})
2025-03-21T20:26:07.3545894Z     %transpose_17 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3546777Z     %select_20 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_17, 0, 0), kwargs = {})
2025-03-21T20:26:07.3547630Z     %select_21 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_20, 0, 10), kwargs = {})
2025-03-21T20:26:07.3548503Z     %transpose_18 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:07.3549372Z     %select_22 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_18, 0, 0), kwargs = {})
2025-03-21T20:26:07.3550325Z     %select_23 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_22, 0, 11), kwargs = {})
2025-03-21T20:26:07.3551511Z     %cat : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_1, %select_3, %select_5, %select_7, %select_9, %select_11, %select_13, %select_15, %select_17, %select_19, %select_21, %select_23],), kwargs = {})
2025-03-21T20:26:07.3552714Z     %view_9 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3553607Z     %transpose_19 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3554490Z     %select_24 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_19, 0, 0), kwargs = {})
2025-03-21T20:26:07.3555337Z     %select_25 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_24, 0, 0), kwargs = {})
2025-03-21T20:26:07.3556215Z     %transpose_20 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3557087Z     %select_26 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_20, 0, 0), kwargs = {})
2025-03-21T20:26:07.3557925Z     %select_27 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_26, 0, 1), kwargs = {})
2025-03-21T20:26:07.3558795Z     %transpose_21 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3559675Z     %select_28 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_21, 0, 0), kwargs = {})
2025-03-21T20:26:07.3560512Z     %select_29 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_28, 0, 2), kwargs = {})
2025-03-21T20:26:07.3561379Z     %transpose_22 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3562267Z     %select_30 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_22, 0, 0), kwargs = {})
2025-03-21T20:26:07.3563110Z     %select_31 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_30, 0, 3), kwargs = {})
2025-03-21T20:26:07.3563970Z     %transpose_23 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3564853Z     %select_32 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_23, 0, 0), kwargs = {})
2025-03-21T20:26:07.3565699Z     %select_33 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_32, 0, 4), kwargs = {})
2025-03-21T20:26:07.3566568Z     %transpose_24 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3567456Z     %select_34 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_24, 0, 0), kwargs = {})
2025-03-21T20:26:07.3568302Z     %select_35 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_34, 0, 5), kwargs = {})
2025-03-21T20:26:07.3569177Z     %transpose_25 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3570045Z     %select_36 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_25, 0, 0), kwargs = {})
2025-03-21T20:26:07.3570886Z     %select_37 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_36, 0, 6), kwargs = {})
2025-03-21T20:26:07.3571753Z     %transpose_26 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3572633Z     %select_38 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_26, 0, 0), kwargs = {})
2025-03-21T20:26:07.3573588Z     %select_39 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_38, 0, 7), kwargs = {})
2025-03-21T20:26:07.3574465Z     %transpose_27 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3575355Z     %select_40 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_27, 0, 0), kwargs = {})
2025-03-21T20:26:07.3576359Z     %select_41 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_40, 0, 8), kwargs = {})
2025-03-21T20:26:07.3577237Z     %transpose_28 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3578127Z     %select_42 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_28, 0, 0), kwargs = {})
2025-03-21T20:26:07.3578972Z     %select_43 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_42, 0, 9), kwargs = {})
2025-03-21T20:26:07.3579857Z     %transpose_29 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3580747Z     %select_44 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_29, 0, 0), kwargs = {})
2025-03-21T20:26:07.3581655Z     %select_45 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_44, 0, 10), kwargs = {})
2025-03-21T20:26:07.3582526Z     %transpose_30 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3583411Z     %select_46 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_30, 0, 0), kwargs = {})
2025-03-21T20:26:07.3584261Z     %select_47 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_46, 0, 11), kwargs = {})
2025-03-21T20:26:07.3585461Z     %cat_1 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_25, %select_27, %select_29, %select_31, %select_33, %select_35, %select_37, %select_39, %select_41, %select_43, %select_45, %select_47],), kwargs = {})
2025-03-21T20:26:07.3586679Z     %view_10 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_1, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3587734Z     %index_2 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___0___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.3588801Z     %transpose_31 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_9, -2, -1), kwargs = {})
2025-03-21T20:26:07.3589723Z     %matmul : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_6, %transpose_31), kwargs = {})
2025-03-21T20:26:07.3590592Z     %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul, 0.125), kwargs = {})
2025-03-21T20:26:07.3591386Z     %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_8, %index_2), kwargs = {})
2025-03-21T20:26:07.3592190Z     %softmax : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_2, -1), kwargs = {})
2025-03-21T20:26:07.3593039Z     %matmul_1 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax, %view_10), kwargs = {})
2025-03-21T20:26:07.3593928Z     %transpose_32 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_1, 1, 2), kwargs = {})
2025-03-21T20:26:07.3594820Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_32, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.3595719Z     %unsqueeze_3 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_11, -1), kwargs = {})
2025-03-21T20:26:07.3596627Z     %transpose_33 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3597875Z     %conv2d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_33, %p_getattr_l__self___layers___0___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.3598948Z     %transpose_34 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3599827Z     %squeeze_3 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_34, -1), kwargs = {})
2025-03-21T20:26:07.3600683Z     %add_3 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%embedding, %squeeze_3), kwargs = {})
2025-03-21T20:26:07.3601702Z     %rms_norm_1 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_3, [768], %p_getattr_l__self___layers___0___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3602771Z     %unsqueeze_4 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_1, -1), kwargs = {})
2025-03-21T20:26:07.3603696Z     %transpose_35 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3604786Z     %conv2d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_35, %p_getattr_l__self___layers___0___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.3605848Z     %transpose_36 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3606730Z     %squeeze_4 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_36, -1), kwargs = {})
2025-03-21T20:26:07.3607561Z     %silu : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_4,), kwargs = {})
2025-03-21T20:26:07.3608425Z     %unsqueeze_5 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_1, -1), kwargs = {})
2025-03-21T20:26:07.3609353Z     %transpose_37 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3610442Z     %conv2d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_37, %p_getattr_l__self___layers___0___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.3611519Z     %transpose_38 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3612396Z     %squeeze_5 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_38, -1), kwargs = {})
2025-03-21T20:26:07.3613224Z     %mul_9 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu, %squeeze_5), kwargs = {})
2025-03-21T20:26:07.3614080Z     %unsqueeze_6 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_9, -1), kwargs = {})
2025-03-21T20:26:07.3614990Z     %transpose_39 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3616079Z     %conv2d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_39, %p_getattr_l__self___layers___0___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.3617154Z     %transpose_40 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3618037Z     %squeeze_6 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_40, -1), kwargs = {})
2025-03-21T20:26:07.3618882Z     %add_4 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_3, %squeeze_6), kwargs = {})
2025-03-21T20:26:07.3619911Z     %rms_norm_2 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_4, [768], %p_getattr_l__self___layers___1___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3621082Z     %unsqueeze_7 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:07.3622081Z     %transpose_41 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.3623166Z     %conv2d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_41, %p_getattr_l__self___layers___1___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.3624237Z     %transpose_42 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.3625121Z     %squeeze_7 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_42, -1), kwargs = {})
2025-03-21T20:26:07.3626028Z     %unsqueeze_8 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:07.3626961Z     %transpose_43 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.3628046Z     %conv2d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_43, %p_getattr_l__self___layers___1___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.3629105Z     %transpose_44 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.3629988Z     %squeeze_8 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_44, -1), kwargs = {})
2025-03-21T20:26:07.3630894Z     %unsqueeze_9 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:07.3631820Z     %transpose_45 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.3632904Z     %conv2d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_45, %p_getattr_l__self___layers___1___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.3633977Z     %transpose_46 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.3634858Z     %squeeze_9 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_46, -1), kwargs = {})
2025-03-21T20:26:07.3635722Z     %view_12 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_7, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3636618Z     %view_13 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_8, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3637505Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_9, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3638427Z     %_to_copy_2 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_12,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3639365Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_2, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3640229Z     %unbind_2 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_15, -1), kwargs = {})
2025-03-21T20:26:07.3641014Z     %getitem_4 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_2, 0), kwargs = {})
2025-03-21T20:26:07.3641771Z     %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_2, 1), kwargs = {})
2025-03-21T20:26:07.3642612Z     %_to_copy_3 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_13,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3643544Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_3, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3644518Z     %unbind_3 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_16, -1), kwargs = {})
2025-03-21T20:26:07.3645308Z     %getitem_6 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_3, 0), kwargs = {})
2025-03-21T20:26:07.3646061Z     %getitem_7 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_3, 1), kwargs = {})
2025-03-21T20:26:07.3646874Z     %view_17 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3647741Z     %view_18 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3648581Z     %mul_10 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_4, %view_17), kwargs = {})
2025-03-21T20:26:07.3649413Z     %mul_11 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_5, %view_18), kwargs = {})
2025-03-21T20:26:07.3650235Z     %sub_2 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_10, %mul_11), kwargs = {})
2025-03-21T20:26:07.3651045Z     %mul_12 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_4, %view_18), kwargs = {})
2025-03-21T20:26:07.3651868Z     %mul_13 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_5, %view_17), kwargs = {})
2025-03-21T20:26:07.3652675Z     %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_12, %mul_13), kwargs = {})
2025-03-21T20:26:07.3653477Z     %mul_14 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_6, %view_17), kwargs = {})
2025-03-21T20:26:07.3654281Z     %mul_15 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_7, %view_18), kwargs = {})
2025-03-21T20:26:07.3655087Z     %sub_3 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_14, %mul_15), kwargs = {})
2025-03-21T20:26:07.3655901Z     %mul_16 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_6, %view_18), kwargs = {})
2025-03-21T20:26:07.3656722Z     %mul_17 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_7, %view_17), kwargs = {})
2025-03-21T20:26:07.3657534Z     %add_6 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_16, %mul_17), kwargs = {})
2025-03-21T20:26:07.3658371Z     %stack_2 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_2, %add_5], -1), kwargs = {})
2025-03-21T20:26:07.3659248Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_2, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3660110Z     %stack_3 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_3, %add_6], -1), kwargs = {})
2025-03-21T20:26:07.3660982Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_3, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3661946Z     %type_as_2 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_19, %view_12), kwargs = {})
2025-03-21T20:26:07.3662815Z     %type_as_3 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_20, %view_13), kwargs = {})
2025-03-21T20:26:07.3663701Z     %transpose_47 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3664925Z     %index_put_2 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___1___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_3), kwargs = {})
2025-03-21T20:26:07.3666441Z     %index_put_3 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___1___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_14), kwargs = {})
2025-03-21T20:26:07.3667763Z     %transpose_48 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3668655Z     %select_48 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_48, 0, 0), kwargs = {})
2025-03-21T20:26:07.3669485Z     %select_49 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_48, 0, 0), kwargs = {})
2025-03-21T20:26:07.3670356Z     %transpose_49 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3671242Z     %select_50 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_49, 0, 0), kwargs = {})
2025-03-21T20:26:07.3672090Z     %select_51 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_50, 0, 1), kwargs = {})
2025-03-21T20:26:07.3672962Z     %transpose_50 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3673851Z     %select_52 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_50, 0, 0), kwargs = {})
2025-03-21T20:26:07.3674690Z     %select_53 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_52, 0, 2), kwargs = {})
2025-03-21T20:26:07.3675551Z     %transpose_51 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3676597Z     %select_54 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_51, 0, 0), kwargs = {})
2025-03-21T20:26:07.3677442Z     %select_55 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_54, 0, 3), kwargs = {})
2025-03-21T20:26:07.3678314Z     %transpose_52 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3679209Z     %select_56 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_52, 0, 0), kwargs = {})
2025-03-21T20:26:07.3680049Z     %select_57 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_56, 0, 4), kwargs = {})
2025-03-21T20:26:07.3680919Z     %transpose_53 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3681787Z     %select_58 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_53, 0, 0), kwargs = {})
2025-03-21T20:26:07.3682630Z     %select_59 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_58, 0, 5), kwargs = {})
2025-03-21T20:26:07.3683502Z     %transpose_54 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3684385Z     %select_60 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_54, 0, 0), kwargs = {})
2025-03-21T20:26:07.3685232Z     %select_61 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_60, 0, 6), kwargs = {})
2025-03-21T20:26:07.3686105Z     %transpose_55 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3686992Z     %select_62 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_55, 0, 0), kwargs = {})
2025-03-21T20:26:07.3687835Z     %select_63 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_62, 0, 7), kwargs = {})
2025-03-21T20:26:07.3688698Z     %transpose_56 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3689583Z     %select_64 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_56, 0, 0), kwargs = {})
2025-03-21T20:26:07.3690419Z     %select_65 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_64, 0, 8), kwargs = {})
2025-03-21T20:26:07.3691461Z     %transpose_57 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3692344Z     %select_66 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_57, 0, 0), kwargs = {})
2025-03-21T20:26:07.3704578Z     %select_67 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_66, 0, 9), kwargs = {})
2025-03-21T20:26:07.3705605Z     %transpose_58 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3706510Z     %select_68 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_58, 0, 0), kwargs = {})
2025-03-21T20:26:07.3707369Z     %select_69 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_68, 0, 10), kwargs = {})
2025-03-21T20:26:07.3708379Z     %transpose_59 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:07.3709273Z     %select_70 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_59, 0, 0), kwargs = {})
2025-03-21T20:26:07.3710126Z     %select_71 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_70, 0, 11), kwargs = {})
2025-03-21T20:26:07.3711323Z     %cat_2 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_49, %select_51, %select_53, %select_55, %select_57, %select_59, %select_61, %select_63, %select_65, %select_67, %select_69, %select_71],), kwargs = {})
2025-03-21T20:26:07.3712540Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_2, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3713426Z     %transpose_60 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3714326Z     %select_72 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_60, 0, 0), kwargs = {})
2025-03-21T20:26:07.3715175Z     %select_73 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_72, 0, 0), kwargs = {})
2025-03-21T20:26:07.3716048Z     %transpose_61 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3716933Z     %select_74 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_61, 0, 0), kwargs = {})
2025-03-21T20:26:07.3717779Z     %select_75 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_74, 0, 1), kwargs = {})
2025-03-21T20:26:07.3718653Z     %transpose_62 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3719529Z     %select_76 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_62, 0, 0), kwargs = {})
2025-03-21T20:26:07.3720384Z     %select_77 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_76, 0, 2), kwargs = {})
2025-03-21T20:26:07.3721255Z     %transpose_63 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3722141Z     %select_78 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_63, 0, 0), kwargs = {})
2025-03-21T20:26:07.3722987Z     %select_79 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_78, 0, 3), kwargs = {})
2025-03-21T20:26:07.3723857Z     %transpose_64 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3724746Z     %select_80 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_64, 0, 0), kwargs = {})
2025-03-21T20:26:07.3725683Z     %select_81 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_80, 0, 4), kwargs = {})
2025-03-21T20:26:07.3726617Z     %transpose_65 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3727505Z     %select_82 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_65, 0, 0), kwargs = {})
2025-03-21T20:26:07.3728352Z     %select_83 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_82, 0, 5), kwargs = {})
2025-03-21T20:26:07.3729223Z     %transpose_66 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3730104Z     %select_84 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_66, 0, 0), kwargs = {})
2025-03-21T20:26:07.3730943Z     %select_85 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_84, 0, 6), kwargs = {})
2025-03-21T20:26:07.3731820Z     %transpose_67 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3732692Z     %select_86 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_67, 0, 0), kwargs = {})
2025-03-21T20:26:07.3733534Z     %select_87 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_86, 0, 7), kwargs = {})
2025-03-21T20:26:07.3734404Z     %transpose_68 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3735287Z     %select_88 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_68, 0, 0), kwargs = {})
2025-03-21T20:26:07.3736132Z     %select_89 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_88, 0, 8), kwargs = {})
2025-03-21T20:26:07.3737002Z     %transpose_69 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3737895Z     %select_90 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_69, 0, 0), kwargs = {})
2025-03-21T20:26:07.3738725Z     %select_91 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_90, 0, 9), kwargs = {})
2025-03-21T20:26:07.3739593Z     %transpose_70 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3740477Z     %select_92 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_70, 0, 0), kwargs = {})
2025-03-21T20:26:07.3741406Z     %select_93 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_92, 0, 10), kwargs = {})
2025-03-21T20:26:07.3742290Z     %transpose_71 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3743178Z     %select_94 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_71, 0, 0), kwargs = {})
2025-03-21T20:26:07.3744039Z     %select_95 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_94, 0, 11), kwargs = {})
2025-03-21T20:26:07.3745233Z     %cat_3 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_73, %select_75, %select_77, %select_79, %select_81, %select_83, %select_85, %select_87, %select_89, %select_91, %select_93, %select_95],), kwargs = {})
2025-03-21T20:26:07.3746436Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_3, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3747499Z     %index_3 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___1___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.3748577Z     %transpose_72 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_21, -2, -1), kwargs = {})
2025-03-21T20:26:07.3749613Z     %matmul_2 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_47, %transpose_72), kwargs = {})
2025-03-21T20:26:07.3750503Z     %mul_18 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_2, 0.125), kwargs = {})
2025-03-21T20:26:07.3751310Z     %add_7 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_18, %index_3), kwargs = {})
2025-03-21T20:26:07.3752128Z     %softmax_1 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_7, -1), kwargs = {})
2025-03-21T20:26:07.3752986Z     %matmul_3 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_1, %view_22), kwargs = {})
2025-03-21T20:26:07.3753871Z     %transpose_73 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_3, 1, 2), kwargs = {})
2025-03-21T20:26:07.3754764Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_73, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.3755679Z     %unsqueeze_10 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_23, -1), kwargs = {})
2025-03-21T20:26:07.3756591Z     %transpose_74 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.3757683Z     %conv2d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_74, %p_getattr_l__self___layers___1___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.3758757Z     %transpose_75 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.3759640Z     %squeeze_10 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_75, -1), kwargs = {})
2025-03-21T20:26:07.3760473Z     %add_8 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_4, %squeeze_10), kwargs = {})
2025-03-21T20:26:07.3761491Z     %rms_norm_3 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_8, [768], %p_getattr_l__self___layers___1___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3762557Z     %unsqueeze_11 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_3, -1), kwargs = {})
2025-03-21T20:26:07.3763480Z     %transpose_76 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.3764581Z     %conv2d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_76, %p_getattr_l__self___layers___1___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.3765666Z     %transpose_77 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.3766550Z     %squeeze_11 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_77, -1), kwargs = {})
2025-03-21T20:26:07.3767394Z     %silu_1 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_11,), kwargs = {})
2025-03-21T20:26:07.3768250Z     %unsqueeze_12 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_3, -1), kwargs = {})
2025-03-21T20:26:07.3769179Z     %transpose_78 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.3770269Z     %conv2d_12 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_78, %p_getattr_l__self___layers___1___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.3771351Z     %transpose_79 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.3772235Z     %squeeze_12 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_79, -1), kwargs = {})
2025-03-21T20:26:07.3773214Z     %mul_19 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_1, %squeeze_12), kwargs = {})
2025-03-21T20:26:07.3774079Z     %unsqueeze_13 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_19, -1), kwargs = {})
2025-03-21T20:26:07.3774990Z     %transpose_80 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.3776283Z     %conv2d_13 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_80, %p_getattr_l__self___layers___1___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.3777375Z     %transpose_81 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.3778260Z     %squeeze_13 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_81, -1), kwargs = {})
2025-03-21T20:26:07.3779119Z     %add_9 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_8, %squeeze_13), kwargs = {})
2025-03-21T20:26:07.3780149Z     %rms_norm_4 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_9, [768], %p_getattr_l__self___layers___2___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3781236Z     %unsqueeze_14 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:07.3782236Z     %transpose_82 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.3783320Z     %conv2d_14 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_82, %p_getattr_l__self___layers___2___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.3784383Z     %transpose_83 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.3785283Z     %squeeze_14 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_83, -1), kwargs = {})
2025-03-21T20:26:07.3786189Z     %unsqueeze_15 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:07.3787115Z     %transpose_84 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.3788203Z     %conv2d_15 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_84, %p_getattr_l__self___layers___2___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.3789274Z     %transpose_85 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.3790156Z     %squeeze_15 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_85, -1), kwargs = {})
2025-03-21T20:26:07.3791065Z     %unsqueeze_16 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:07.3791975Z     %transpose_86 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.3793055Z     %conv2d_16 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_86, %p_getattr_l__self___layers___2___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.3794129Z     %transpose_87 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.3795013Z     %squeeze_16 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_87, -1), kwargs = {})
2025-03-21T20:26:07.3795897Z     %view_24 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_14, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3796901Z     %view_25 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_15, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3797882Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_16, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3798812Z     %_to_copy_4 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_24,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3799737Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_4, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3800600Z     %unbind_4 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_27, -1), kwargs = {})
2025-03-21T20:26:07.3801393Z     %getitem_8 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_4, 0), kwargs = {})
2025-03-21T20:26:07.3802151Z     %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_4, 1), kwargs = {})
2025-03-21T20:26:07.3803016Z     %_to_copy_5 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_25,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3803950Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_5, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3804812Z     %unbind_5 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_28, -1), kwargs = {})
2025-03-21T20:26:07.3805588Z     %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_5, 0), kwargs = {})
2025-03-21T20:26:07.3806345Z     %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_5, 1), kwargs = {})
2025-03-21T20:26:07.3807151Z     %view_29 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3808015Z     %view_30 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3808869Z     %mul_20 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_8, %view_29), kwargs = {})
2025-03-21T20:26:07.3809693Z     %mul_21 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_9, %view_30), kwargs = {})
2025-03-21T20:26:07.3810501Z     %sub_4 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_20, %mul_21), kwargs = {})
2025-03-21T20:26:07.3811291Z     %mul_22 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_8, %view_30), kwargs = {})
2025-03-21T20:26:07.3812116Z     %mul_23 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_9, %view_29), kwargs = {})
2025-03-21T20:26:07.3812927Z     %add_10 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_22, %mul_23), kwargs = {})
2025-03-21T20:26:07.3813740Z     %mul_24 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_10, %view_29), kwargs = {})
2025-03-21T20:26:07.3814572Z     %mul_25 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_11, %view_30), kwargs = {})
2025-03-21T20:26:07.3815384Z     %sub_5 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_24, %mul_25), kwargs = {})
2025-03-21T20:26:07.3816197Z     %mul_26 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_10, %view_30), kwargs = {})
2025-03-21T20:26:07.3817013Z     %mul_27 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_11, %view_29), kwargs = {})
2025-03-21T20:26:07.3817829Z     %add_11 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_26, %mul_27), kwargs = {})
2025-03-21T20:26:07.3818670Z     %stack_4 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_4, %add_10], -1), kwargs = {})
2025-03-21T20:26:07.3819600Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_4, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3820531Z     %stack_5 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_5, %add_11], -1), kwargs = {})
2025-03-21T20:26:07.3821494Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_5, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3822369Z     %type_as_4 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_31, %view_24), kwargs = {})
2025-03-21T20:26:07.3823236Z     %type_as_5 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_32, %view_25), kwargs = {})
2025-03-21T20:26:07.3824109Z     %transpose_88 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3825335Z     %index_put_4 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___2___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_5), kwargs = {})
2025-03-21T20:26:07.3826868Z     %index_put_5 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___2___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_26), kwargs = {})
2025-03-21T20:26:07.3828079Z     %transpose_89 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3828960Z     %select_96 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_89, 0, 0), kwargs = {})
2025-03-21T20:26:07.3829810Z     %select_97 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_96, 0, 0), kwargs = {})
2025-03-21T20:26:07.3830681Z     %transpose_90 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3831572Z     %select_98 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_90, 0, 0), kwargs = {})
2025-03-21T20:26:07.3832403Z     %select_99 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_98, 0, 1), kwargs = {})
2025-03-21T20:26:07.3833278Z     %transpose_91 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3834173Z     %select_100 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_91, 0, 0), kwargs = {})
2025-03-21T20:26:07.3835030Z     %select_101 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_100, 0, 2), kwargs = {})
2025-03-21T20:26:07.3835913Z     %transpose_92 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3836800Z     %select_102 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_92, 0, 0), kwargs = {})
2025-03-21T20:26:07.3837666Z     %select_103 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_102, 0, 3), kwargs = {})
2025-03-21T20:26:07.3838541Z     %transpose_93 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3839429Z     %select_104 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_93, 0, 0), kwargs = {})
2025-03-21T20:26:07.3840286Z     %select_105 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_104, 0, 4), kwargs = {})
2025-03-21T20:26:07.3841168Z     %transpose_94 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3842058Z     %select_106 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_94, 0, 0), kwargs = {})
2025-03-21T20:26:07.3842970Z     %select_107 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_106, 0, 5), kwargs = {})
2025-03-21T20:26:07.3843903Z     %transpose_95 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3844791Z     %select_108 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_95, 0, 0), kwargs = {})
2025-03-21T20:26:07.3845634Z     %select_109 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_108, 0, 6), kwargs = {})
2025-03-21T20:26:07.3846519Z     %transpose_96 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3847408Z     %select_110 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_96, 0, 0), kwargs = {})
2025-03-21T20:26:07.3848263Z     %select_111 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_110, 0, 7), kwargs = {})
2025-03-21T20:26:07.3849152Z     %transpose_97 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3850040Z     %select_112 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_97, 0, 0), kwargs = {})
2025-03-21T20:26:07.3850893Z     %select_113 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_112, 0, 8), kwargs = {})
2025-03-21T20:26:07.3851757Z     %transpose_98 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3852640Z     %select_114 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_98, 0, 0), kwargs = {})
2025-03-21T20:26:07.3853493Z     %select_115 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_114, 0, 9), kwargs = {})
2025-03-21T20:26:07.3854373Z     %transpose_99 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3855264Z     %select_116 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_99, 0, 0), kwargs = {})
2025-03-21T20:26:07.3856108Z     %select_117 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_116, 0, 10), kwargs = {})
2025-03-21T20:26:07.3856996Z     %transpose_100 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:07.3857890Z     %select_118 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_100, 0, 0), kwargs = {})
2025-03-21T20:26:07.3858750Z     %select_119 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_118, 0, 11), kwargs = {})
2025-03-21T20:26:07.3859992Z     %cat_4 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_97, %select_99, %select_101, %select_103, %select_105, %select_107, %select_109, %select_111, %select_113, %select_115, %select_117, %select_119],), kwargs = {})
2025-03-21T20:26:07.3861335Z     %view_33 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_4, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3862243Z     %transpose_101 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3863141Z     %select_120 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_101, 0, 0), kwargs = {})
2025-03-21T20:26:07.3863984Z     %select_121 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_120, 0, 0), kwargs = {})
2025-03-21T20:26:07.3864868Z     %transpose_102 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3865765Z     %select_122 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_102, 0, 0), kwargs = {})
2025-03-21T20:26:07.3866728Z     %select_123 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_122, 0, 1), kwargs = {})
2025-03-21T20:26:07.3867612Z     %transpose_103 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3868500Z     %select_124 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_103, 0, 0), kwargs = {})
2025-03-21T20:26:07.3869343Z     %select_125 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_124, 0, 2), kwargs = {})
2025-03-21T20:26:07.3870214Z     %transpose_104 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3871089Z     %select_126 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_104, 0, 0), kwargs = {})
2025-03-21T20:26:07.3871925Z     %select_127 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_126, 0, 3), kwargs = {})
2025-03-21T20:26:07.3872791Z     %transpose_105 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3873668Z     %select_128 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_105, 0, 0), kwargs = {})
2025-03-21T20:26:07.3874511Z     %select_129 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_128, 0, 4), kwargs = {})
2025-03-21T20:26:07.3875376Z     %transpose_106 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3876463Z     %select_130 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_106, 0, 0), kwargs = {})
2025-03-21T20:26:07.3877303Z     %select_131 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_130, 0, 5), kwargs = {})
2025-03-21T20:26:07.3878180Z     %transpose_107 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3879049Z     %select_132 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_107, 0, 0), kwargs = {})
2025-03-21T20:26:07.3879896Z     %select_133 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_132, 0, 6), kwargs = {})
2025-03-21T20:26:07.3880773Z     %transpose_108 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3881654Z     %select_134 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_108, 0, 0), kwargs = {})
2025-03-21T20:26:07.3882496Z     %select_135 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_134, 0, 7), kwargs = {})
2025-03-21T20:26:07.3883366Z     %transpose_109 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3884259Z     %select_136 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_109, 0, 0), kwargs = {})
2025-03-21T20:26:07.3885100Z     %select_137 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_136, 0, 8), kwargs = {})
2025-03-21T20:26:07.3885961Z     %transpose_110 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3886849Z     %select_138 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_110, 0, 0), kwargs = {})
2025-03-21T20:26:07.3887692Z     %select_139 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_138, 0, 9), kwargs = {})
2025-03-21T20:26:07.3888566Z     %transpose_111 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3889549Z     %select_140 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_111, 0, 0), kwargs = {})
2025-03-21T20:26:07.3890467Z     %select_141 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_140, 0, 10), kwargs = {})
2025-03-21T20:26:07.3891338Z     %transpose_112 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3892211Z     %select_142 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_112, 0, 0), kwargs = {})
2025-03-21T20:26:07.3893064Z     %select_143 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_142, 0, 11), kwargs = {})
2025-03-21T20:26:07.3894298Z     %cat_5 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_121, %select_123, %select_125, %select_127, %select_129, %select_131, %select_133, %select_135, %select_137, %select_139, %select_141, %select_143],), kwargs = {})
2025-03-21T20:26:07.3895543Z     %view_34 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_5, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.3896579Z     %index_4 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___2___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.3897644Z     %transpose_113 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_33, -2, -1), kwargs = {})
2025-03-21T20:26:07.3898563Z     %matmul_4 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_88, %transpose_113), kwargs = {})
2025-03-21T20:26:07.3899430Z     %mul_28 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_4, 0.125), kwargs = {})
2025-03-21T20:26:07.3900221Z     %add_12 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_28, %index_4), kwargs = {})
2025-03-21T20:26:07.3901018Z     %softmax_2 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_12, -1), kwargs = {})
2025-03-21T20:26:07.3901941Z     %matmul_5 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_2, %view_34), kwargs = {})
2025-03-21T20:26:07.3902829Z     %transpose_114 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_5, 1, 2), kwargs = {})
2025-03-21T20:26:07.3903710Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_114, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.3904600Z     %unsqueeze_17 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_35, -1), kwargs = {})
2025-03-21T20:26:07.3905502Z     %transpose_115 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.3906581Z     %conv2d_17 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_115, %p_getattr_l__self___layers___2___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.3907654Z     %transpose_116 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.3908527Z     %squeeze_17 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_116, -1), kwargs = {})
2025-03-21T20:26:07.3909364Z     %add_13 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_9, %squeeze_17), kwargs = {})
2025-03-21T20:26:07.3910356Z     %rms_norm_5 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_13, [768], %p_getattr_l__self___layers___2___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3911414Z     %unsqueeze_18 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_5, -1), kwargs = {})
2025-03-21T20:26:07.3912334Z     %transpose_117 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.3913528Z     %conv2d_18 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_117, %p_getattr_l__self___layers___2___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.3914603Z     %transpose_118 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.3915472Z     %squeeze_18 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_118, -1), kwargs = {})
2025-03-21T20:26:07.3916296Z     %silu_2 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_18,), kwargs = {})
2025-03-21T20:26:07.3917152Z     %unsqueeze_19 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_5, -1), kwargs = {})
2025-03-21T20:26:07.3918070Z     %transpose_119 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.3919169Z     %conv2d_19 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_119, %p_getattr_l__self___layers___2___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.3920244Z     %transpose_120 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.3921121Z     %squeeze_19 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_120, -1), kwargs = {})
2025-03-21T20:26:07.3921958Z     %mul_29 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_2, %squeeze_19), kwargs = {})
2025-03-21T20:26:07.3922799Z     %unsqueeze_20 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_29, -1), kwargs = {})
2025-03-21T20:26:07.3923696Z     %transpose_121 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.3924789Z     %conv2d_20 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_121, %p_getattr_l__self___layers___2___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.3925871Z     %transpose_122 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.3926743Z     %squeeze_20 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_122, -1), kwargs = {})
2025-03-21T20:26:07.3927581Z     %add_14 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_13, %squeeze_20), kwargs = {})
2025-03-21T20:26:07.3928600Z     %rms_norm_6 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_14, [768], %p_getattr_l__self___layers___3___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.3929671Z     %unsqueeze_21 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:07.3930594Z     %transpose_123 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.3931670Z     %conv2d_21 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_123, %p_getattr_l__self___layers___3___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.3932736Z     %transpose_124 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.3933614Z     %squeeze_21 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_124, -1), kwargs = {})
2025-03-21T20:26:07.3934503Z     %unsqueeze_22 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:07.3935416Z     %transpose_125 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.3936594Z     %conv2d_22 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_125, %p_getattr_l__self___layers___3___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.3937659Z     %transpose_126 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.3938531Z     %squeeze_22 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_126, -1), kwargs = {})
2025-03-21T20:26:07.3939533Z     %unsqueeze_23 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:07.3940448Z     %transpose_127 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.3941600Z     %conv2d_23 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_127, %p_getattr_l__self___layers___3___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.3942681Z     %transpose_128 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.3943563Z     %squeeze_23 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_128, -1), kwargs = {})
2025-03-21T20:26:07.3944433Z     %view_36 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_21, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3945310Z     %view_37 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_22, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3946176Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_23, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3947084Z     %_to_copy_6 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_36,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3948007Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_6, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3948856Z     %unbind_6 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_39, -1), kwargs = {})
2025-03-21T20:26:07.3949634Z     %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_6, 0), kwargs = {})
2025-03-21T20:26:07.3950378Z     %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_6, 1), kwargs = {})
2025-03-21T20:26:07.3951215Z     %_to_copy_7 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_37,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.3952126Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_7, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.3952974Z     %unbind_7 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_40, -1), kwargs = {})
2025-03-21T20:26:07.3953755Z     %getitem_14 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_7, 0), kwargs = {})
2025-03-21T20:26:07.3954498Z     %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_7, 1), kwargs = {})
2025-03-21T20:26:07.3955294Z     %view_41 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3956141Z     %view_42 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.3956976Z     %mul_30 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_12, %view_41), kwargs = {})
2025-03-21T20:26:07.3957785Z     %mul_31 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_13, %view_42), kwargs = {})
2025-03-21T20:26:07.3958586Z     %sub_6 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_30, %mul_31), kwargs = {})
2025-03-21T20:26:07.3959503Z     %mul_32 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_12, %view_42), kwargs = {})
2025-03-21T20:26:07.3960313Z     %mul_33 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_13, %view_41), kwargs = {})
2025-03-21T20:26:07.3961108Z     %add_15 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_32, %mul_33), kwargs = {})
2025-03-21T20:26:07.3961906Z     %mul_34 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_14, %view_41), kwargs = {})
2025-03-21T20:26:07.3962723Z     %mul_35 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_15, %view_42), kwargs = {})
2025-03-21T20:26:07.3963510Z     %sub_7 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_34, %mul_35), kwargs = {})
2025-03-21T20:26:07.3964305Z     %mul_36 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_14, %view_42), kwargs = {})
2025-03-21T20:26:07.3965126Z     %mul_37 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_15, %view_41), kwargs = {})
2025-03-21T20:26:07.3965926Z     %add_16 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_36, %mul_37), kwargs = {})
2025-03-21T20:26:07.3966752Z     %stack_6 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_6, %add_15], -1), kwargs = {})
2025-03-21T20:26:07.3967615Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_6, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3968476Z     %stack_7 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_7, %add_16], -1), kwargs = {})
2025-03-21T20:26:07.3969334Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_7, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.3970184Z     %type_as_6 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_43, %view_36), kwargs = {})
2025-03-21T20:26:07.3971035Z     %type_as_7 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_44, %view_37), kwargs = {})
2025-03-21T20:26:07.3971905Z     %transpose_129 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3973114Z     %index_put_6 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___3___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_7), kwargs = {})
2025-03-21T20:26:07.3974623Z     %index_put_7 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___3___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_38), kwargs = {})
2025-03-21T20:26:07.3975998Z     %transpose_130 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3976895Z     %select_144 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_130, 0, 0), kwargs = {})
2025-03-21T20:26:07.3977742Z     %select_145 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_144, 0, 0), kwargs = {})
2025-03-21T20:26:07.3978608Z     %transpose_131 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3979487Z     %select_146 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_131, 0, 0), kwargs = {})
2025-03-21T20:26:07.3980332Z     %select_147 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_146, 0, 1), kwargs = {})
2025-03-21T20:26:07.3981207Z     %transpose_132 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3982323Z     %select_148 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_132, 0, 0), kwargs = {})
2025-03-21T20:26:07.3983169Z     %select_149 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_148, 0, 2), kwargs = {})
2025-03-21T20:26:07.3984043Z     %transpose_133 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3984924Z     %select_150 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_133, 0, 0), kwargs = {})
2025-03-21T20:26:07.3985760Z     %select_151 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_150, 0, 3), kwargs = {})
2025-03-21T20:26:07.3986630Z     %transpose_134 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3987506Z     %select_152 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_134, 0, 0), kwargs = {})
2025-03-21T20:26:07.3988354Z     %select_153 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_152, 0, 4), kwargs = {})
2025-03-21T20:26:07.3989226Z     %transpose_135 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3990104Z     %select_154 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_135, 0, 0), kwargs = {})
2025-03-21T20:26:07.3990943Z     %select_155 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_154, 0, 5), kwargs = {})
2025-03-21T20:26:07.3991802Z     %transpose_136 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3992683Z     %select_156 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_136, 0, 0), kwargs = {})
2025-03-21T20:26:07.3993522Z     %select_157 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_156, 0, 6), kwargs = {})
2025-03-21T20:26:07.3994398Z     %transpose_137 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3995276Z     %select_158 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_137, 0, 0), kwargs = {})
2025-03-21T20:26:07.3996117Z     %select_159 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_158, 0, 7), kwargs = {})
2025-03-21T20:26:07.3996986Z     %transpose_138 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.3997856Z     %select_160 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_138, 0, 0), kwargs = {})
2025-03-21T20:26:07.3998692Z     %select_161 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_160, 0, 8), kwargs = {})
2025-03-21T20:26:07.3999575Z     %transpose_139 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.4000457Z     %select_162 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_139, 0, 0), kwargs = {})
2025-03-21T20:26:07.4001300Z     %select_163 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_162, 0, 9), kwargs = {})
2025-03-21T20:26:07.4002171Z     %transpose_140 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.4003048Z     %select_164 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_140, 0, 0), kwargs = {})
2025-03-21T20:26:07.4003896Z     %select_165 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_164, 0, 10), kwargs = {})
2025-03-21T20:26:07.4004767Z     %transpose_141 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:07.4005745Z     %select_166 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_141, 0, 0), kwargs = {})
2025-03-21T20:26:07.4006596Z     %select_167 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_166, 0, 11), kwargs = {})
2025-03-21T20:26:07.4007831Z     %cat_6 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_145, %select_147, %select_149, %select_151, %select_153, %select_155, %select_157, %select_159, %select_161, %select_163, %select_165, %select_167],), kwargs = {})
2025-03-21T20:26:07.4009075Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_6, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4009966Z     %transpose_142 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4010858Z     %select_168 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_142, 0, 0), kwargs = {})
2025-03-21T20:26:07.4011701Z     %select_169 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_168, 0, 0), kwargs = {})
2025-03-21T20:26:07.4012561Z     %transpose_143 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4013440Z     %select_170 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_143, 0, 0), kwargs = {})
2025-03-21T20:26:07.4014288Z     %select_171 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_170, 0, 1), kwargs = {})
2025-03-21T20:26:07.4015158Z     %transpose_144 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4016036Z     %select_172 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_144, 0, 0), kwargs = {})
2025-03-21T20:26:07.4016887Z     %select_173 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_172, 0, 2), kwargs = {})
2025-03-21T20:26:07.4017761Z     %transpose_145 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4018634Z     %select_174 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_145, 0, 0), kwargs = {})
2025-03-21T20:26:07.4019478Z     %select_175 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_174, 0, 3), kwargs = {})
2025-03-21T20:26:07.4020351Z     %transpose_146 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4021227Z     %select_176 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_146, 0, 0), kwargs = {})
2025-03-21T20:26:07.4022129Z     %select_177 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_176, 0, 4), kwargs = {})
2025-03-21T20:26:07.4023009Z     %transpose_147 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4023890Z     %select_178 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_147, 0, 0), kwargs = {})
2025-03-21T20:26:07.4024730Z     %select_179 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_178, 0, 5), kwargs = {})
2025-03-21T20:26:07.4025597Z     %transpose_148 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4026475Z     %select_180 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_148, 0, 0), kwargs = {})
2025-03-21T20:26:07.4027317Z     %select_181 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_180, 0, 6), kwargs = {})
2025-03-21T20:26:07.4028298Z     %transpose_149 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4029183Z     %select_182 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_149, 0, 0), kwargs = {})
2025-03-21T20:26:07.4030025Z     %select_183 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_182, 0, 7), kwargs = {})
2025-03-21T20:26:07.4030890Z     %transpose_150 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4031764Z     %select_184 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_150, 0, 0), kwargs = {})
2025-03-21T20:26:07.4032611Z     %select_185 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_184, 0, 8), kwargs = {})
2025-03-21T20:26:07.4033479Z     %transpose_151 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4034368Z     %select_186 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_151, 0, 0), kwargs = {})
2025-03-21T20:26:07.4035218Z     %select_187 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_186, 0, 9), kwargs = {})
2025-03-21T20:26:07.4036088Z     %transpose_152 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4036961Z     %select_188 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_152, 0, 0), kwargs = {})
2025-03-21T20:26:07.4037815Z     %select_189 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_188, 0, 10), kwargs = {})
2025-03-21T20:26:07.4038676Z     %transpose_153 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4039559Z     %select_190 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_153, 0, 0), kwargs = {})
2025-03-21T20:26:07.4040411Z     %select_191 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_190, 0, 11), kwargs = {})
2025-03-21T20:26:07.4041641Z     %cat_7 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_169, %select_171, %select_173, %select_175, %select_177, %select_179, %select_181, %select_183, %select_185, %select_187, %select_189, %select_191],), kwargs = {})
2025-03-21T20:26:07.4042877Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_7, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4043916Z     %index_5 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___3___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4044970Z     %transpose_154 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_45, -2, -1), kwargs = {})
2025-03-21T20:26:07.4045904Z     %matmul_6 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_129, %transpose_154), kwargs = {})
2025-03-21T20:26:07.4046773Z     %mul_38 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_6, 0.125), kwargs = {})
2025-03-21T20:26:07.4047568Z     %add_17 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_38, %index_5), kwargs = {})
2025-03-21T20:26:07.4048366Z     %softmax_3 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_17, -1), kwargs = {})
2025-03-21T20:26:07.4049208Z     %matmul_7 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_3, %view_46), kwargs = {})
2025-03-21T20:26:07.4050098Z     %transpose_155 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_7, 1, 2), kwargs = {})
2025-03-21T20:26:07.4051036Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_155, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4051980Z     %unsqueeze_24 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_47, -1), kwargs = {})
2025-03-21T20:26:07.4052869Z     %transpose_156 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_24, 1, 2), kwargs = {})
2025-03-21T20:26:07.4053944Z     %conv2d_24 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_156, %p_getattr_l__self___layers___3___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4055002Z     %transpose_157 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_24, 1, 2), kwargs = {})
2025-03-21T20:26:07.4055886Z     %squeeze_24 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_157, -1), kwargs = {})
2025-03-21T20:26:07.4056716Z     %add_18 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_14, %squeeze_24), kwargs = {})
2025-03-21T20:26:07.4057718Z     %rms_norm_7 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_18, [768], %p_getattr_l__self___layers___3___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4058769Z     %unsqueeze_25 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_7, -1), kwargs = {})
2025-03-21T20:26:07.4059700Z     %transpose_158 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_25, 1, 2), kwargs = {})
2025-03-21T20:26:07.4060783Z     %conv2d_25 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_158, %p_getattr_l__self___layers___3___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4061922Z     %transpose_159 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_25, 1, 2), kwargs = {})
2025-03-21T20:26:07.4062803Z     %squeeze_25 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_159, -1), kwargs = {})
2025-03-21T20:26:07.4063629Z     %silu_3 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_25,), kwargs = {})
2025-03-21T20:26:07.4064490Z     %unsqueeze_26 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_7, -1), kwargs = {})
2025-03-21T20:26:07.4065398Z     %transpose_160 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_26, 1, 2), kwargs = {})
2025-03-21T20:26:07.4066492Z     %conv2d_26 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_160, %p_getattr_l__self___layers___3___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4067568Z     %transpose_161 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_26, 1, 2), kwargs = {})
2025-03-21T20:26:07.4068441Z     %squeeze_26 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_161, -1), kwargs = {})
2025-03-21T20:26:07.4069288Z     %mul_39 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_3, %squeeze_26), kwargs = {})
2025-03-21T20:26:07.4070140Z     %unsqueeze_27 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_39, -1), kwargs = {})
2025-03-21T20:26:07.4071043Z     %transpose_162 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_27, 1, 2), kwargs = {})
2025-03-21T20:26:07.4072126Z     %conv2d_27 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_162, %p_getattr_l__self___layers___3___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4073208Z     %transpose_163 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_27, 1, 2), kwargs = {})
2025-03-21T20:26:07.4074087Z     %squeeze_27 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_163, -1), kwargs = {})
2025-03-21T20:26:07.4075050Z     %add_19 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_18, %squeeze_27), kwargs = {})
2025-03-21T20:26:07.4076260Z     %rms_norm_8 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_19, [768], %p_getattr_l__self___layers___4___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4077356Z     %unsqueeze_28 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:07.4078284Z     %transpose_164 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_28, 1, 2), kwargs = {})
2025-03-21T20:26:07.4079373Z     %conv2d_28 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_164, %p_getattr_l__self___layers___4___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4080456Z     %transpose_165 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_28, 1, 2), kwargs = {})
2025-03-21T20:26:07.4081344Z     %squeeze_28 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_165, -1), kwargs = {})
2025-03-21T20:26:07.4082239Z     %unsqueeze_29 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:07.4083154Z     %transpose_166 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_29, 1, 2), kwargs = {})
2025-03-21T20:26:07.4084225Z     %conv2d_29 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_166, %p_getattr_l__self___layers___4___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4085295Z     %transpose_167 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_29, 1, 2), kwargs = {})
2025-03-21T20:26:07.4086175Z     %squeeze_29 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_167, -1), kwargs = {})
2025-03-21T20:26:07.4087077Z     %unsqueeze_30 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:07.4087997Z     %transpose_168 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_30, 1, 2), kwargs = {})
2025-03-21T20:26:07.4089084Z     %conv2d_30 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_168, %p_getattr_l__self___layers___4___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4090159Z     %transpose_169 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_30, 1, 2), kwargs = {})
2025-03-21T20:26:07.4091038Z     %squeeze_30 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_169, -1), kwargs = {})
2025-03-21T20:26:07.4091902Z     %view_48 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_28, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4092790Z     %view_49 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_29, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4093668Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_30, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4094584Z     %_to_copy_8 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_48,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4095507Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_8, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4096355Z     %unbind_8 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_51, -1), kwargs = {})
2025-03-21T20:26:07.4097139Z     %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_8, 0), kwargs = {})
2025-03-21T20:26:07.4097974Z     %getitem_17 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_8, 1), kwargs = {})
2025-03-21T20:26:07.4098871Z     %_to_copy_9 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_49,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4099792Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_9, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4100646Z     %unbind_9 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_52, -1), kwargs = {})
2025-03-21T20:26:07.4101486Z     %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_9, 0), kwargs = {})
2025-03-21T20:26:07.4102236Z     %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_9, 1), kwargs = {})
2025-03-21T20:26:07.4103033Z     %view_53 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4103897Z     %view_54 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4104728Z     %mul_40 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_16, %view_53), kwargs = {})
2025-03-21T20:26:07.4105552Z     %mul_41 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_17, %view_54), kwargs = {})
2025-03-21T20:26:07.4106353Z     %sub_8 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_40, %mul_41), kwargs = {})
2025-03-21T20:26:07.4107150Z     %mul_42 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_16, %view_54), kwargs = {})
2025-03-21T20:26:07.4107966Z     %mul_43 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_17, %view_53), kwargs = {})
2025-03-21T20:26:07.4108768Z     %add_20 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_42, %mul_43), kwargs = {})
2025-03-21T20:26:07.4109576Z     %mul_44 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_18, %view_53), kwargs = {})
2025-03-21T20:26:07.4110387Z     %mul_45 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_19, %view_54), kwargs = {})
2025-03-21T20:26:07.4111188Z     %sub_9 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_44, %mul_45), kwargs = {})
2025-03-21T20:26:07.4111985Z     %mul_46 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_18, %view_54), kwargs = {})
2025-03-21T20:26:07.4112803Z     %mul_47 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_19, %view_53), kwargs = {})
2025-03-21T20:26:07.4113606Z     %add_21 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_46, %mul_47), kwargs = {})
2025-03-21T20:26:07.4114433Z     %stack_8 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_8, %add_20], -1), kwargs = {})
2025-03-21T20:26:07.4115312Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_8, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4116173Z     %stack_9 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_9, %add_21], -1), kwargs = {})
2025-03-21T20:26:07.4117041Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_9, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4117903Z     %type_as_8 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_55, %view_48), kwargs = {})
2025-03-21T20:26:07.4118755Z     %type_as_9 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_56, %view_49), kwargs = {})
2025-03-21T20:26:07.4119637Z     %transpose_170 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4120908Z     %index_put_8 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___4___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_9), kwargs = {})
2025-03-21T20:26:07.4122508Z     %index_put_9 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___4___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_50), kwargs = {})
2025-03-21T20:26:07.4123717Z     %transpose_171 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4124607Z     %select_192 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_171, 0, 0), kwargs = {})
2025-03-21T20:26:07.4125453Z     %select_193 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_192, 0, 0), kwargs = {})
2025-03-21T20:26:07.4126335Z     %transpose_172 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4127230Z     %select_194 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_172, 0, 0), kwargs = {})
2025-03-21T20:26:07.4128080Z     %select_195 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_194, 0, 1), kwargs = {})
2025-03-21T20:26:07.4128962Z     %transpose_173 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4129851Z     %select_196 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_173, 0, 0), kwargs = {})
2025-03-21T20:26:07.4130706Z     %select_197 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_196, 0, 2), kwargs = {})
2025-03-21T20:26:07.4131571Z     %transpose_174 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4132461Z     %select_198 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_174, 0, 0), kwargs = {})
2025-03-21T20:26:07.4133306Z     %select_199 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_198, 0, 3), kwargs = {})
2025-03-21T20:26:07.4134178Z     %transpose_175 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4135062Z     %select_200 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_175, 0, 0), kwargs = {})
2025-03-21T20:26:07.4135911Z     %select_201 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_200, 0, 4), kwargs = {})
2025-03-21T20:26:07.4136786Z     %transpose_176 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4137662Z     %select_202 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_176, 0, 0), kwargs = {})
2025-03-21T20:26:07.4138520Z     %select_203 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_202, 0, 5), kwargs = {})
2025-03-21T20:26:07.4139395Z     %transpose_177 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4140281Z     %select_204 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_177, 0, 0), kwargs = {})
2025-03-21T20:26:07.4141127Z     %select_205 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_204, 0, 6), kwargs = {})
2025-03-21T20:26:07.4142077Z     %transpose_178 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4142957Z     %select_206 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_178, 0, 0), kwargs = {})
2025-03-21T20:26:07.4143858Z     %select_207 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_206, 0, 7), kwargs = {})
2025-03-21T20:26:07.4144783Z     %transpose_179 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4145675Z     %select_208 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_179, 0, 0), kwargs = {})
2025-03-21T20:26:07.4146530Z     %select_209 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_208, 0, 8), kwargs = {})
2025-03-21T20:26:07.4147406Z     %transpose_180 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4148292Z     %select_210 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_180, 0, 0), kwargs = {})
2025-03-21T20:26:07.4149141Z     %select_211 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_210, 0, 9), kwargs = {})
2025-03-21T20:26:07.4150025Z     %transpose_181 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4150898Z     %select_212 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_181, 0, 0), kwargs = {})
2025-03-21T20:26:07.4151754Z     %select_213 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_212, 0, 10), kwargs = {})
2025-03-21T20:26:07.4152635Z     %transpose_182 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:07.4153521Z     %select_214 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_182, 0, 0), kwargs = {})
2025-03-21T20:26:07.4154372Z     %select_215 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_214, 0, 11), kwargs = {})
2025-03-21T20:26:07.4155613Z     %cat_8 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_193, %select_195, %select_197, %select_199, %select_201, %select_203, %select_205, %select_207, %select_209, %select_211, %select_213, %select_215],), kwargs = {})
2025-03-21T20:26:07.4156860Z     %view_57 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_8, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4157750Z     %transpose_183 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4158626Z     %select_216 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_183, 0, 0), kwargs = {})
2025-03-21T20:26:07.4159476Z     %select_217 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_216, 0, 0), kwargs = {})
2025-03-21T20:26:07.4160349Z     %transpose_184 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4161240Z     %select_218 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_184, 0, 0), kwargs = {})
2025-03-21T20:26:07.4162087Z     %select_219 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_218, 0, 1), kwargs = {})
2025-03-21T20:26:07.4162961Z     %transpose_185 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4163847Z     %select_220 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_185, 0, 0), kwargs = {})
2025-03-21T20:26:07.4164694Z     %select_221 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_220, 0, 2), kwargs = {})
2025-03-21T20:26:07.4165556Z     %transpose_186 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4166442Z     %select_222 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_186, 0, 0), kwargs = {})
2025-03-21T20:26:07.4167386Z     %select_223 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_222, 0, 3), kwargs = {})
2025-03-21T20:26:07.4168265Z     %transpose_187 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4169151Z     %select_224 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_187, 0, 0), kwargs = {})
2025-03-21T20:26:07.4170005Z     %select_225 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_224, 0, 4), kwargs = {})
2025-03-21T20:26:07.4170884Z     %transpose_188 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4171762Z     %select_226 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_188, 0, 0), kwargs = {})
2025-03-21T20:26:07.4172611Z     %select_227 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_226, 0, 5), kwargs = {})
2025-03-21T20:26:07.4173488Z     %transpose_189 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4174374Z     %select_228 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_189, 0, 0), kwargs = {})
2025-03-21T20:26:07.4175220Z     %select_229 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_228, 0, 6), kwargs = {})
2025-03-21T20:26:07.4176275Z     %transpose_190 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4177166Z     %select_230 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_190, 0, 0), kwargs = {})
2025-03-21T20:26:07.4178021Z     %select_231 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_230, 0, 7), kwargs = {})
2025-03-21T20:26:07.4178900Z     %transpose_191 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4179790Z     %select_232 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_191, 0, 0), kwargs = {})
2025-03-21T20:26:07.4180641Z     %select_233 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_232, 0, 8), kwargs = {})
2025-03-21T20:26:07.4181589Z     %transpose_192 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4182472Z     %select_234 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_192, 0, 0), kwargs = {})
2025-03-21T20:26:07.4183322Z     %select_235 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_234, 0, 9), kwargs = {})
2025-03-21T20:26:07.4184182Z     %transpose_193 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4185064Z     %select_236 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_193, 0, 0), kwargs = {})
2025-03-21T20:26:07.4185914Z     %select_237 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_236, 0, 10), kwargs = {})
2025-03-21T20:26:07.4186790Z     %transpose_194 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4187673Z     %select_238 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_194, 0, 0), kwargs = {})
2025-03-21T20:26:07.4188524Z     %select_239 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_238, 0, 11), kwargs = {})
2025-03-21T20:26:07.4189843Z     %cat_9 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_217, %select_219, %select_221, %select_223, %select_225, %select_227, %select_229, %select_231, %select_233, %select_235, %select_237, %select_239],), kwargs = {})
2025-03-21T20:26:07.4191151Z     %view_58 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_9, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4192215Z     %index_6 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___4___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4193282Z     %transpose_195 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_57, -2, -1), kwargs = {})
2025-03-21T20:26:07.4194226Z     %matmul_8 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_170, %transpose_195), kwargs = {})
2025-03-21T20:26:07.4195120Z     %mul_48 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_8, 0.125), kwargs = {})
2025-03-21T20:26:07.4195932Z     %add_22 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_48, %index_6), kwargs = {})
2025-03-21T20:26:07.4196762Z     %softmax_4 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_22, -1), kwargs = {})
2025-03-21T20:26:07.4197627Z     %matmul_9 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_4, %view_58), kwargs = {})
2025-03-21T20:26:07.4198537Z     %transpose_196 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_9, 1, 2), kwargs = {})
2025-03-21T20:26:07.4199439Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_196, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4200332Z     %unsqueeze_31 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_59, -1), kwargs = {})
2025-03-21T20:26:07.4201249Z     %transpose_197 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_31, 1, 2), kwargs = {})
2025-03-21T20:26:07.4202359Z     %conv2d_31 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_197, %p_getattr_l__self___layers___4___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4203451Z     %transpose_198 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_31, 1, 2), kwargs = {})
2025-03-21T20:26:07.4204349Z     %squeeze_31 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_198, -1), kwargs = {})
2025-03-21T20:26:07.4205203Z     %add_23 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_19, %squeeze_31), kwargs = {})
2025-03-21T20:26:07.4206222Z     %rms_norm_9 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_23, [768], %p_getattr_l__self___layers___4___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4207293Z     %unsqueeze_32 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_9, -1), kwargs = {})
2025-03-21T20:26:07.4208223Z     %transpose_199 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_32, 1, 2), kwargs = {})
2025-03-21T20:26:07.4209332Z     %conv2d_32 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_199, %p_getattr_l__self___layers___4___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4210428Z     %transpose_200 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_32, 1, 2), kwargs = {})
2025-03-21T20:26:07.4211324Z     %squeeze_32 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_200, -1), kwargs = {})
2025-03-21T20:26:07.4212165Z     %silu_4 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_32,), kwargs = {})
2025-03-21T20:26:07.4213032Z     %unsqueeze_33 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_9, -1), kwargs = {})
2025-03-21T20:26:07.4214056Z     %transpose_201 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_33, 1, 2), kwargs = {})
2025-03-21T20:26:07.4215156Z     %conv2d_33 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_201, %p_getattr_l__self___layers___4___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4216232Z     %transpose_202 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_33, 1, 2), kwargs = {})
2025-03-21T20:26:07.4216620Z     %squeeze_33 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_202, -1), kwargs = {})
2025-03-21T20:26:07.4216972Z     %mul_49 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_4, %squeeze_33), kwargs = {})
2025-03-21T20:26:07.4217373Z     %unsqueeze_34 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_49, -1), kwargs = {})
2025-03-21T20:26:07.4217784Z     %transpose_203 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_34, 1, 2), kwargs = {})
2025-03-21T20:26:07.4218376Z     %conv2d_34 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_203, %p_getattr_l__self___layers___4___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4218768Z     %transpose_204 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_34, 1, 2), kwargs = {})
2025-03-21T20:26:07.4219158Z     %squeeze_34 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_204, -1), kwargs = {})
2025-03-21T20:26:07.4219511Z     %add_24 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_23, %squeeze_34), kwargs = {})
2025-03-21T20:26:07.4220086Z     %rms_norm_10 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_24, [768], %p_getattr_l__self___layers___5___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4220504Z     %unsqueeze_35 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:07.4220908Z     %transpose_205 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_35, 1, 2), kwargs = {})
2025-03-21T20:26:07.4221558Z     %conv2d_35 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_205, %p_getattr_l__self___layers___5___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4221953Z     %transpose_206 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_35, 1, 2), kwargs = {})
2025-03-21T20:26:07.4222344Z     %squeeze_35 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_206, -1), kwargs = {})
2025-03-21T20:26:07.4222752Z     %unsqueeze_36 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:07.4223173Z     %transpose_207 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_36, 1, 2), kwargs = {})
2025-03-21T20:26:07.4223745Z     %conv2d_36 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_207, %p_getattr_l__self___layers___5___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4224148Z     %transpose_208 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_36, 1, 2), kwargs = {})
2025-03-21T20:26:07.4224527Z     %squeeze_36 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_208, -1), kwargs = {})
2025-03-21T20:26:07.4224951Z     %unsqueeze_37 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:07.4225353Z     %transpose_209 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_37, 1, 2), kwargs = {})
2025-03-21T20:26:07.4225995Z     %conv2d_37 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_209, %p_getattr_l__self___layers___5___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4226433Z     %transpose_210 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_37, 1, 2), kwargs = {})
2025-03-21T20:26:07.4226820Z     %squeeze_37 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_210, -1), kwargs = {})
2025-03-21T20:26:07.4227206Z     %view_60 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_35, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4227590Z     %view_61 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_36, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4227985Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_37, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4228406Z     %_to_copy_10 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_60,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4228827Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_10, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4229177Z     %unbind_10 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_63, -1), kwargs = {})
2025-03-21T20:26:07.4229510Z     %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_10, 0), kwargs = {})
2025-03-21T20:26:07.4229828Z     %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_10, 1), kwargs = {})
2025-03-21T20:26:07.4230256Z     %_to_copy_11 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_61,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4230651Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_11, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4231017Z     %unbind_11 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_64, -1), kwargs = {})
2025-03-21T20:26:07.4231335Z     %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_11, 0), kwargs = {})
2025-03-21T20:26:07.4231652Z     %getitem_23 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_11, 1), kwargs = {})
2025-03-21T20:26:07.4232034Z     %view_65 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4232406Z     %view_66 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4232775Z     %mul_50 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_20, %view_65), kwargs = {})
2025-03-21T20:26:07.4233129Z     %mul_51 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_21, %view_66), kwargs = {})
2025-03-21T20:26:07.4233487Z     %sub_10 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_50, %mul_51), kwargs = {})
2025-03-21T20:26:07.4233839Z     %mul_52 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_20, %view_66), kwargs = {})
2025-03-21T20:26:07.4234205Z     %mul_53 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_21, %view_65), kwargs = {})
2025-03-21T20:26:07.4234542Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_52, %mul_53), kwargs = {})
2025-03-21T20:26:07.4234906Z     %mul_54 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_22, %view_65), kwargs = {})
2025-03-21T20:26:07.4235257Z     %mul_55 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_23, %view_66), kwargs = {})
2025-03-21T20:26:07.4235606Z     %sub_11 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_54, %mul_55), kwargs = {})
2025-03-21T20:26:07.4236051Z     %mul_56 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_22, %view_66), kwargs = {})
2025-03-21T20:26:07.4236402Z     %mul_57 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_23, %view_65), kwargs = {})
2025-03-21T20:26:07.4236751Z     %add_26 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_56, %mul_57), kwargs = {})
2025-03-21T20:26:07.4237136Z     %stack_10 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_10, %add_25], -1), kwargs = {})
2025-03-21T20:26:07.4237527Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_10, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4237911Z     %stack_11 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_11, %add_26], -1), kwargs = {})
2025-03-21T20:26:07.4238301Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_11, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4238683Z     %type_as_10 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_67, %view_60), kwargs = {})
2025-03-21T20:26:07.4239067Z     %type_as_11 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_68, %view_61), kwargs = {})
2025-03-21T20:26:07.4239463Z     %transpose_211 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4240192Z     %index_put_10 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___5___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_11), kwargs = {})
2025-03-21T20:26:07.4240892Z     %index_put_11 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___5___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_62), kwargs = {})
2025-03-21T20:26:07.4241319Z     %transpose_212 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4241693Z     %select_240 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_212, 0, 0), kwargs = {})
2025-03-21T20:26:07.4242054Z     %select_241 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_240, 0, 0), kwargs = {})
2025-03-21T20:26:07.4242475Z     %transpose_213 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4242848Z     %select_242 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_213, 0, 0), kwargs = {})
2025-03-21T20:26:07.4243221Z     %select_243 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_242, 0, 1), kwargs = {})
2025-03-21T20:26:07.4243627Z     %transpose_214 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4244016Z     %select_244 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_214, 0, 0), kwargs = {})
2025-03-21T20:26:07.4244377Z     %select_245 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_244, 0, 2), kwargs = {})
2025-03-21T20:26:07.4244792Z     %transpose_215 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4245165Z     %select_246 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_215, 0, 0), kwargs = {})
2025-03-21T20:26:07.4245538Z     %select_247 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_246, 0, 3), kwargs = {})
2025-03-21T20:26:07.4245941Z     %transpose_216 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4246416Z     %select_248 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_216, 0, 0), kwargs = {})
2025-03-21T20:26:07.4246777Z     %select_249 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_248, 0, 4), kwargs = {})
2025-03-21T20:26:07.4247178Z     %transpose_217 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4247563Z     %select_250 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_217, 0, 0), kwargs = {})
2025-03-21T20:26:07.4247923Z     %select_251 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_250, 0, 5), kwargs = {})
2025-03-21T20:26:07.4248338Z     %transpose_218 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4248711Z     %select_252 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_218, 0, 0), kwargs = {})
2025-03-21T20:26:07.4249086Z     %select_253 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_252, 0, 6), kwargs = {})
2025-03-21T20:26:07.4249492Z     %transpose_219 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4249875Z     %select_254 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_219, 0, 0), kwargs = {})
2025-03-21T20:26:07.4250235Z     %select_255 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_254, 0, 7), kwargs = {})
2025-03-21T20:26:07.4250647Z     %transpose_220 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4251018Z     %select_256 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_220, 0, 0), kwargs = {})
2025-03-21T20:26:07.4251385Z     %select_257 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_256, 0, 8), kwargs = {})
2025-03-21T20:26:07.4251799Z     %transpose_221 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4252169Z     %select_258 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_221, 0, 0), kwargs = {})
2025-03-21T20:26:07.4252541Z     %select_259 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_258, 0, 9), kwargs = {})
2025-03-21T20:26:07.4252942Z     %transpose_222 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4253327Z     %select_260 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_222, 0, 0), kwargs = {})
2025-03-21T20:26:07.4253695Z     %select_261 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_260, 0, 10), kwargs = {})
2025-03-21T20:26:07.4254116Z     %transpose_223 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:07.4254489Z     %select_262 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_223, 0, 0), kwargs = {})
2025-03-21T20:26:07.4254865Z     %select_263 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_262, 0, 11), kwargs = {})
2025-03-21T20:26:07.4255631Z     %cat_10 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_241, %select_243, %select_245, %select_247, %select_249, %select_251, %select_253, %select_255, %select_257, %select_259, %select_261, %select_263],), kwargs = {})
2025-03-21T20:26:07.4256023Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_10, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4256472Z     %transpose_224 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4256901Z     %select_264 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_224, 0, 0), kwargs = {})
2025-03-21T20:26:07.4257264Z     %select_265 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_264, 0, 0), kwargs = {})
2025-03-21T20:26:07.4257670Z     %transpose_225 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4258052Z     %select_266 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_225, 0, 0), kwargs = {})
2025-03-21T20:26:07.4258419Z     %select_267 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_266, 0, 1), kwargs = {})
2025-03-21T20:26:07.4258835Z     %transpose_226 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4259213Z     %select_268 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_226, 0, 0), kwargs = {})
2025-03-21T20:26:07.4259588Z     %select_269 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_268, 0, 2), kwargs = {})
2025-03-21T20:26:07.4259991Z     %transpose_227 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4260376Z     %select_270 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_227, 0, 0), kwargs = {})
2025-03-21T20:26:07.4260739Z     %select_271 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_270, 0, 3), kwargs = {})
2025-03-21T20:26:07.4261155Z     %transpose_228 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4261605Z     %select_272 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_228, 0, 0), kwargs = {})
2025-03-21T20:26:07.4261970Z     %select_273 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_272, 0, 4), kwargs = {})
2025-03-21T20:26:07.4262386Z     %transpose_229 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4262756Z     %select_274 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_229, 0, 0), kwargs = {})
2025-03-21T20:26:07.4263129Z     %select_275 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_274, 0, 5), kwargs = {})
2025-03-21T20:26:07.4263534Z     %transpose_230 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4263919Z     %select_276 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_230, 0, 0), kwargs = {})
2025-03-21T20:26:07.4264286Z     %select_277 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_276, 0, 6), kwargs = {})
2025-03-21T20:26:07.4264704Z     %transpose_231 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4265075Z     %select_278 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_231, 0, 0), kwargs = {})
2025-03-21T20:26:07.4265449Z     %select_279 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_278, 0, 7), kwargs = {})
2025-03-21T20:26:07.4265853Z     %transpose_232 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4266235Z     %select_280 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_232, 0, 0), kwargs = {})
2025-03-21T20:26:07.4266598Z     %select_281 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_280, 0, 8), kwargs = {})
2025-03-21T20:26:07.4267120Z     %transpose_233 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4267509Z     %select_282 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_233, 0, 0), kwargs = {})
2025-03-21T20:26:07.4267870Z     %select_283 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_282, 0, 9), kwargs = {})
2025-03-21T20:26:07.4268290Z     %transpose_234 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4268661Z     %select_284 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_234, 0, 0), kwargs = {})
2025-03-21T20:26:07.4269042Z     %select_285 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_284, 0, 10), kwargs = {})
2025-03-21T20:26:07.4269456Z     %transpose_235 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4269845Z     %select_286 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_235, 0, 0), kwargs = {})
2025-03-21T20:26:07.4270212Z     %select_287 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_286, 0, 11), kwargs = {})
2025-03-21T20:26:07.4270986Z     %cat_11 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_265, %select_267, %select_269, %select_271, %select_273, %select_275, %select_277, %select_279, %select_281, %select_283, %select_285, %select_287],), kwargs = {})
2025-03-21T20:26:07.4271368Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_11, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4271941Z     %index_7 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___5___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4272349Z     %transpose_236 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_69, -2, -1), kwargs = {})
2025-03-21T20:26:07.4272778Z     %matmul_10 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_211, %transpose_236), kwargs = {})
2025-03-21T20:26:07.4273139Z     %mul_58 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_10, 0.125), kwargs = {})
2025-03-21T20:26:07.4273486Z     %add_27 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_58, %index_7), kwargs = {})
2025-03-21T20:26:07.4273854Z     %softmax_5 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_27, -1), kwargs = {})
2025-03-21T20:26:07.4274246Z     %matmul_11 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_5, %view_70), kwargs = {})
2025-03-21T20:26:07.4274661Z     %transpose_237 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_11, 1, 2), kwargs = {})
2025-03-21T20:26:07.4275052Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_237, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4275465Z     %unsqueeze_38 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_71, -1), kwargs = {})
2025-03-21T20:26:07.4276031Z     %transpose_238 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_38, 1, 2), kwargs = {})
2025-03-21T20:26:07.4276624Z     %conv2d_38 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_238, %p_getattr_l__self___layers___5___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4277021Z     %transpose_239 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_38, 1, 2), kwargs = {})
2025-03-21T20:26:07.4277498Z     %squeeze_38 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_239, -1), kwargs = {})
2025-03-21T20:26:07.4277906Z     %add_28 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_24, %squeeze_38), kwargs = {})
2025-03-21T20:26:07.4278452Z     %rms_norm_11 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_28, [768], %p_getattr_l__self___layers___5___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4278882Z     %unsqueeze_39 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_11, -1), kwargs = {})
2025-03-21T20:26:07.4279288Z     %transpose_240 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_39, 1, 2), kwargs = {})
2025-03-21T20:26:07.4279887Z     %conv2d_39 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_240, %p_getattr_l__self___layers___5___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4280288Z     %transpose_241 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_39, 1, 2), kwargs = {})
2025-03-21T20:26:07.4280681Z     %squeeze_39 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_241, -1), kwargs = {})
2025-03-21T20:26:07.4281028Z     %silu_5 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_39,), kwargs = {})
2025-03-21T20:26:07.4281455Z     %unsqueeze_40 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_11, -1), kwargs = {})
2025-03-21T20:26:07.4281860Z     %transpose_242 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_40, 1, 2), kwargs = {})
2025-03-21T20:26:07.4282455Z     %conv2d_40 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_242, %p_getattr_l__self___layers___5___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4282848Z     %transpose_243 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_40, 1, 2), kwargs = {})
2025-03-21T20:26:07.4283240Z     %squeeze_40 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_243, -1), kwargs = {})
2025-03-21T20:26:07.4283590Z     %mul_59 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_5, %squeeze_40), kwargs = {})
2025-03-21T20:26:07.4283988Z     %unsqueeze_41 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_59, -1), kwargs = {})
2025-03-21T20:26:07.4284391Z     %transpose_244 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_41, 1, 2), kwargs = {})
2025-03-21T20:26:07.4284967Z     %conv2d_41 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_244, %p_getattr_l__self___layers___5___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4285370Z     %transpose_245 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_41, 1, 2), kwargs = {})
2025-03-21T20:26:07.4285751Z     %squeeze_41 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_245, -1), kwargs = {})
2025-03-21T20:26:07.4286112Z     %add_29 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_28, %squeeze_41), kwargs = {})
2025-03-21T20:26:07.4286672Z     %rms_norm_12 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_29, [768], %p_getattr_l__self___layers___6___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4287092Z     %unsqueeze_42 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:07.4287491Z     %transpose_246 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_42, 1, 2), kwargs = {})
2025-03-21T20:26:07.4288114Z     %conv2d_42 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_246, %p_getattr_l__self___layers___6___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4288552Z     %transpose_247 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_42, 1, 2), kwargs = {})
2025-03-21T20:26:07.4288938Z     %squeeze_42 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_247, -1), kwargs = {})
2025-03-21T20:26:07.4289343Z     %unsqueeze_43 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:07.4289750Z     %transpose_248 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_43, 1, 2), kwargs = {})
2025-03-21T20:26:07.4290311Z     %conv2d_43 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_248, %p_getattr_l__self___layers___6___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4290707Z     %transpose_249 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_43, 1, 2), kwargs = {})
2025-03-21T20:26:07.4291083Z     %squeeze_43 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_249, -1), kwargs = {})
2025-03-21T20:26:07.4291486Z     %unsqueeze_44 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:07.4291891Z     %transpose_250 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_44, 1, 2), kwargs = {})
2025-03-21T20:26:07.4292451Z     %conv2d_44 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_250, %p_getattr_l__self___layers___6___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4292844Z     %transpose_251 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_44, 1, 2), kwargs = {})
2025-03-21T20:26:07.4293212Z     %squeeze_44 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_251, -1), kwargs = {})
2025-03-21T20:26:07.4293605Z     %view_72 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_42, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4293987Z     %view_73 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_43, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4294368Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_44, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4294783Z     %_to_copy_12 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_72,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4295182Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_12, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4295523Z     %unbind_12 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_75, -1), kwargs = {})
2025-03-21T20:26:07.4295857Z     %getitem_24 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_12, 0), kwargs = {})
2025-03-21T20:26:07.4296179Z     %getitem_25 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_12, 1), kwargs = {})
2025-03-21T20:26:07.4296592Z     %_to_copy_13 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_73,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4296996Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_13, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4297341Z     %unbind_13 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_76, -1), kwargs = {})
2025-03-21T20:26:07.4297669Z     %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_13, 0), kwargs = {})
2025-03-21T20:26:07.4297984Z     %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_13, 1), kwargs = {})
2025-03-21T20:26:07.4298464Z     %view_77 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4298833Z     %view_78 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4299194Z     %mul_60 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_24, %view_77), kwargs = {})
2025-03-21T20:26:07.4299546Z     %mul_61 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_25, %view_78), kwargs = {})
2025-03-21T20:26:07.4299890Z     %sub_12 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_60, %mul_61), kwargs = {})
2025-03-21T20:26:07.4300241Z     %mul_62 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_24, %view_78), kwargs = {})
2025-03-21T20:26:07.4300594Z     %mul_63 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_25, %view_77), kwargs = {})
2025-03-21T20:26:07.4300946Z     %add_30 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_62, %mul_63), kwargs = {})
2025-03-21T20:26:07.4301356Z     %mul_64 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_26, %view_77), kwargs = {})
2025-03-21T20:26:07.4301717Z     %mul_65 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_27, %view_78), kwargs = {})
2025-03-21T20:26:07.4302052Z     %sub_13 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_64, %mul_65), kwargs = {})
2025-03-21T20:26:07.4302415Z     %mul_66 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_26, %view_78), kwargs = {})
2025-03-21T20:26:07.4302765Z     %mul_67 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_27, %view_77), kwargs = {})
2025-03-21T20:26:07.4303117Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_66, %mul_67), kwargs = {})
2025-03-21T20:26:07.4303511Z     %stack_12 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_12, %add_30], -1), kwargs = {})
2025-03-21T20:26:07.4303898Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_12, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4304275Z     %stack_13 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_13, %add_31], -1), kwargs = {})
2025-03-21T20:26:07.4304650Z     %view_80 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_13, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4305030Z     %type_as_12 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_79, %view_72), kwargs = {})
2025-03-21T20:26:07.4305397Z     %type_as_13 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_80, %view_73), kwargs = {})
2025-03-21T20:26:07.4305805Z     %transpose_252 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4306510Z     %index_put_12 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___6___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_13), kwargs = {})
2025-03-21T20:26:07.4307214Z     %index_put_13 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___6___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_74), kwargs = {})
2025-03-21T20:26:07.4307617Z     %transpose_253 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4307997Z     %select_288 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_253, 0, 0), kwargs = {})
2025-03-21T20:26:07.4308405Z     %select_289 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_288, 0, 0), kwargs = {})
2025-03-21T20:26:07.4308863Z     %transpose_254 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4309230Z     %select_290 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_254, 0, 0), kwargs = {})
2025-03-21T20:26:07.4309595Z     %select_291 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_290, 0, 1), kwargs = {})
2025-03-21T20:26:07.4309991Z     %transpose_255 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4310362Z     %select_292 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_255, 0, 0), kwargs = {})
2025-03-21T20:26:07.4310716Z     %select_293 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_292, 0, 2), kwargs = {})
2025-03-21T20:26:07.4311122Z     %transpose_256 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4311493Z     %select_294 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_256, 0, 0), kwargs = {})
2025-03-21T20:26:07.4311848Z     %select_295 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_294, 0, 3), kwargs = {})
2025-03-21T20:26:07.4312256Z     %transpose_257 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4312624Z     %select_296 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_257, 0, 0), kwargs = {})
2025-03-21T20:26:07.4312994Z     %select_297 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_296, 0, 4), kwargs = {})
2025-03-21T20:26:07.4313400Z     %transpose_258 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4313782Z     %select_298 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_258, 0, 0), kwargs = {})
2025-03-21T20:26:07.4314141Z     %select_299 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_298, 0, 5), kwargs = {})
2025-03-21T20:26:07.4314554Z     %transpose_259 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4314921Z     %select_300 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_259, 0, 0), kwargs = {})
2025-03-21T20:26:07.4315279Z     %select_301 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_300, 0, 6), kwargs = {})
2025-03-21T20:26:07.4315690Z     %transpose_260 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4316066Z     %select_302 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_260, 0, 0), kwargs = {})
2025-03-21T20:26:07.4316432Z     %select_303 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_302, 0, 7), kwargs = {})
2025-03-21T20:26:07.4316835Z     %transpose_261 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4317211Z     %select_304 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_261, 0, 0), kwargs = {})
2025-03-21T20:26:07.4317568Z     %select_305 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_304, 0, 8), kwargs = {})
2025-03-21T20:26:07.4317975Z     %transpose_262 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4318346Z     %select_306 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_262, 0, 0), kwargs = {})
2025-03-21T20:26:07.4318805Z     %select_307 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_306, 0, 9), kwargs = {})
2025-03-21T20:26:07.4319201Z     %transpose_263 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4319578Z     %select_308 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_263, 0, 0), kwargs = {})
2025-03-21T20:26:07.4319942Z     %select_309 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_308, 0, 10), kwargs = {})
2025-03-21T20:26:07.4320343Z     %transpose_264 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:07.4320721Z     %select_310 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_264, 0, 0), kwargs = {})
2025-03-21T20:26:07.4321091Z     %select_311 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_310, 0, 11), kwargs = {})
2025-03-21T20:26:07.4321852Z     %cat_12 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_289, %select_291, %select_293, %select_295, %select_297, %select_299, %select_301, %select_303, %select_305, %select_307, %select_309, %select_311],), kwargs = {})
2025-03-21T20:26:07.4322230Z     %view_81 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_12, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4322642Z     %transpose_265 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4323006Z     %select_312 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_265, 0, 0), kwargs = {})
2025-03-21T20:26:07.4323371Z     %select_313 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_312, 0, 0), kwargs = {})
2025-03-21T20:26:07.4323778Z     %transpose_266 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4324157Z     %select_314 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_266, 0, 0), kwargs = {})
2025-03-21T20:26:07.4324517Z     %select_315 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_314, 0, 1), kwargs = {})
2025-03-21T20:26:07.4324934Z     %transpose_267 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4325298Z     %select_316 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_267, 0, 0), kwargs = {})
2025-03-21T20:26:07.4325657Z     %select_317 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_316, 0, 2), kwargs = {})
2025-03-21T20:26:07.4326069Z     %transpose_268 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4326440Z     %select_318 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_268, 0, 0), kwargs = {})
2025-03-21T20:26:07.4326810Z     %select_319 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_318, 0, 3), kwargs = {})
2025-03-21T20:26:07.4327209Z     %transpose_269 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4327585Z     %select_320 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_269, 0, 0), kwargs = {})
2025-03-21T20:26:07.4327938Z     %select_321 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_320, 0, 4), kwargs = {})
2025-03-21T20:26:07.4328348Z     %transpose_270 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4328809Z     %select_322 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_270, 0, 0), kwargs = {})
2025-03-21T20:26:07.4329182Z     %select_323 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_322, 0, 5), kwargs = {})
2025-03-21T20:26:07.4329581Z     %transpose_271 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4329963Z     %select_324 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_271, 0, 0), kwargs = {})
2025-03-21T20:26:07.4330320Z     %select_325 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_324, 0, 6), kwargs = {})
2025-03-21T20:26:07.4330722Z     %transpose_272 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4331099Z     %select_326 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_272, 0, 0), kwargs = {})
2025-03-21T20:26:07.4331464Z     %select_327 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_326, 0, 7), kwargs = {})
2025-03-21T20:26:07.4331870Z     %transpose_273 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4332234Z     %select_328 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_273, 0, 0), kwargs = {})
2025-03-21T20:26:07.4332604Z     %select_329 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_328, 0, 8), kwargs = {})
2025-03-21T20:26:07.4333006Z     %transpose_274 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4333383Z     %select_330 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_274, 0, 0), kwargs = {})
2025-03-21T20:26:07.4333747Z     %select_331 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_330, 0, 9), kwargs = {})
2025-03-21T20:26:07.4334153Z     %transpose_275 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4334519Z     %select_332 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_275, 0, 0), kwargs = {})
2025-03-21T20:26:07.4334877Z     %select_333 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_332, 0, 10), kwargs = {})
2025-03-21T20:26:07.4335289Z     %transpose_276 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4335658Z     %select_334 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_276, 0, 0), kwargs = {})
2025-03-21T20:26:07.4336027Z     %select_335 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_334, 0, 11), kwargs = {})
2025-03-21T20:26:07.4336791Z     %cat_13 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_313, %select_315, %select_317, %select_319, %select_321, %select_323, %select_325, %select_327, %select_329, %select_331, %select_333, %select_335],), kwargs = {})
2025-03-21T20:26:07.4337179Z     %view_82 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_13, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4337738Z     %index_8 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___6___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4338152Z     %transpose_277 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_81, -2, -1), kwargs = {})
2025-03-21T20:26:07.4338578Z     %matmul_12 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_252, %transpose_277), kwargs = {})
2025-03-21T20:26:07.4339065Z     %mul_68 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_12, 0.125), kwargs = {})
2025-03-21T20:26:07.4339412Z     %add_32 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_68, %index_8), kwargs = {})
2025-03-21T20:26:07.4339770Z     %softmax_6 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_32, -1), kwargs = {})
2025-03-21T20:26:07.4340161Z     %matmul_13 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_6, %view_82), kwargs = {})
2025-03-21T20:26:07.4340560Z     %transpose_278 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_13, 1, 2), kwargs = {})
2025-03-21T20:26:07.4340949Z     %view_83 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_278, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4341410Z     %unsqueeze_45 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_83, -1), kwargs = {})
2025-03-21T20:26:07.4341830Z     %transpose_279 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_45, 1, 2), kwargs = {})
2025-03-21T20:26:07.4342401Z     %conv2d_45 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_279, %p_getattr_l__self___layers___6___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4342804Z     %transpose_280 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_45, 1, 2), kwargs = {})
2025-03-21T20:26:07.4343180Z     %squeeze_45 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_280, -1), kwargs = {})
2025-03-21T20:26:07.4343538Z     %add_33 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_29, %squeeze_45), kwargs = {})
2025-03-21T20:26:07.4344075Z     %rms_norm_13 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_33, [768], %p_getattr_l__self___layers___6___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4344501Z     %unsqueeze_46 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_13, -1), kwargs = {})
2025-03-21T20:26:07.4344905Z     %transpose_281 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_46, 1, 2), kwargs = {})
2025-03-21T20:26:07.4345492Z     %conv2d_46 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_281, %p_getattr_l__self___layers___6___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4345881Z     %transpose_282 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_46, 1, 2), kwargs = {})
2025-03-21T20:26:07.4346267Z     %squeeze_46 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_282, -1), kwargs = {})
2025-03-21T20:26:07.4346611Z     %silu_6 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_46,), kwargs = {})
2025-03-21T20:26:07.4347026Z     %unsqueeze_47 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_13, -1), kwargs = {})
2025-03-21T20:26:07.4347439Z     %transpose_283 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_47, 1, 2), kwargs = {})
2025-03-21T20:26:07.4348018Z     %conv2d_47 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_283, %p_getattr_l__self___layers___6___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4348416Z     %transpose_284 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_47, 1, 2), kwargs = {})
2025-03-21T20:26:07.4348791Z     %squeeze_47 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_284, -1), kwargs = {})
2025-03-21T20:26:07.4349151Z     %mul_69 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_6, %squeeze_47), kwargs = {})
2025-03-21T20:26:07.4349633Z     %unsqueeze_48 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_69, -1), kwargs = {})
2025-03-21T20:26:07.4350041Z     %transpose_285 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_48, 1, 2), kwargs = {})
2025-03-21T20:26:07.4350621Z     %conv2d_48 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_285, %p_getattr_l__self___layers___6___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4351023Z     %transpose_286 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_48, 1, 2), kwargs = {})
2025-03-21T20:26:07.4351398Z     %squeeze_48 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_286, -1), kwargs = {})
2025-03-21T20:26:07.4351758Z     %add_34 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_33, %squeeze_48), kwargs = {})
2025-03-21T20:26:07.4352325Z     %rms_norm_14 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_34, [768], %p_getattr_l__self___layers___7___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4352749Z     %unsqueeze_49 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:07.4353149Z     %transpose_287 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_49, 1, 2), kwargs = {})
2025-03-21T20:26:07.4353719Z     %conv2d_49 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_287, %p_getattr_l__self___layers___7___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4354116Z     %transpose_288 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_49, 1, 2), kwargs = {})
2025-03-21T20:26:07.4354489Z     %squeeze_49 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_288, -1), kwargs = {})
2025-03-21T20:26:07.4354911Z     %unsqueeze_50 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:07.4355309Z     %transpose_289 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_50, 1, 2), kwargs = {})
2025-03-21T20:26:07.4355887Z     %conv2d_50 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_289, %p_getattr_l__self___layers___7___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4356274Z     %transpose_290 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_50, 1, 2), kwargs = {})
2025-03-21T20:26:07.4356659Z     %squeeze_50 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_290, -1), kwargs = {})
2025-03-21T20:26:07.4357063Z     %unsqueeze_51 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:07.4357481Z     %transpose_291 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_51, 1, 2), kwargs = {})
2025-03-21T20:26:07.4358044Z     %conv2d_51 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_291, %p_getattr_l__self___layers___7___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4358443Z     %transpose_292 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_51, 1, 2), kwargs = {})
2025-03-21T20:26:07.4358816Z     %squeeze_51 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_292, -1), kwargs = {})
2025-03-21T20:26:07.4359196Z     %view_84 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_49, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4359589Z     %view_85 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_50, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4360058Z     %view_86 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_51, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4360489Z     %_to_copy_14 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_84,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4360881Z     %view_87 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_14, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4361238Z     %unbind_14 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_87, -1), kwargs = {})
2025-03-21T20:26:07.4361556Z     %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_14, 0), kwargs = {})
2025-03-21T20:26:07.4361881Z     %getitem_29 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_14, 1), kwargs = {})
2025-03-21T20:26:07.4362300Z     %_to_copy_15 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_85,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4362709Z     %view_88 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_15, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4363056Z     %unbind_15 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_88, -1), kwargs = {})
2025-03-21T20:26:07.4363378Z     %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_15, 0), kwargs = {})
2025-03-21T20:26:07.4363696Z     %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_15, 1), kwargs = {})
2025-03-21T20:26:07.4364064Z     %view_89 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4364440Z     %view_90 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4364798Z     %mul_70 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_28, %view_89), kwargs = {})
2025-03-21T20:26:07.4365165Z     %mul_71 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_29, %view_90), kwargs = {})
2025-03-21T20:26:07.4365505Z     %sub_14 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_70, %mul_71), kwargs = {})
2025-03-21T20:26:07.4365864Z     %mul_72 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_28, %view_90), kwargs = {})
2025-03-21T20:26:07.4366215Z     %mul_73 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_29, %view_89), kwargs = {})
2025-03-21T20:26:07.4366560Z     %add_35 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_72, %mul_73), kwargs = {})
2025-03-21T20:26:07.4366911Z     %mul_74 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_30, %view_89), kwargs = {})
2025-03-21T20:26:07.4367272Z     %mul_75 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_31, %view_90), kwargs = {})
2025-03-21T20:26:07.4367612Z     %sub_15 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_74, %mul_75), kwargs = {})
2025-03-21T20:26:07.4367961Z     %mul_76 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_30, %view_90), kwargs = {})
2025-03-21T20:26:07.4368319Z     %mul_77 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_31, %view_89), kwargs = {})
2025-03-21T20:26:07.4368655Z     %add_36 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_76, %mul_77), kwargs = {})
2025-03-21T20:26:07.4369046Z     %stack_14 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_14, %add_35], -1), kwargs = {})
2025-03-21T20:26:07.4369420Z     %view_91 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_14, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4369900Z     %stack_15 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_15, %add_36], -1), kwargs = {})
2025-03-21T20:26:07.4370277Z     %view_92 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_15, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4370661Z     %type_as_14 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_91, %view_84), kwargs = {})
2025-03-21T20:26:07.4371028Z     %type_as_15 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_92, %view_85), kwargs = {})
2025-03-21T20:26:07.4371432Z     %transpose_293 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4372143Z     %index_put_14 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___7___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_15), kwargs = {})
2025-03-21T20:26:07.4372859Z     %index_put_15 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___7___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_86), kwargs = {})
2025-03-21T20:26:07.4373264Z     %transpose_294 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4373648Z     %select_336 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_294, 0, 0), kwargs = {})
2025-03-21T20:26:07.4374009Z     %select_337 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_336, 0, 0), kwargs = {})
2025-03-21T20:26:07.4374410Z     %transpose_295 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4374793Z     %select_338 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_295, 0, 0), kwargs = {})
2025-03-21T20:26:07.4375159Z     %select_339 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_338, 0, 1), kwargs = {})
2025-03-21T20:26:07.4375569Z     %transpose_296 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4376133Z     %select_340 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_296, 0, 0), kwargs = {})
2025-03-21T20:26:07.4376511Z     %select_341 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_340, 0, 2), kwargs = {})
2025-03-21T20:26:07.4376915Z     %transpose_297 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4377298Z     %select_342 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_297, 0, 0), kwargs = {})
2025-03-21T20:26:07.4377661Z     %select_343 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_342, 0, 3), kwargs = {})
2025-03-21T20:26:07.4378080Z     %transpose_298 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4378453Z     %select_344 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_298, 0, 0), kwargs = {})
2025-03-21T20:26:07.4378847Z     %select_345 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_344, 0, 4), kwargs = {})
2025-03-21T20:26:07.4379390Z     %transpose_299 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4379759Z     %select_346 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_299, 0, 0), kwargs = {})
2025-03-21T20:26:07.4380127Z     %select_347 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_346, 0, 5), kwargs = {})
2025-03-21T20:26:07.4380712Z     %transpose_300 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4381096Z     %select_348 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_300, 0, 0), kwargs = {})
2025-03-21T20:26:07.4381520Z     %select_349 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_348, 0, 6), kwargs = {})
2025-03-21T20:26:07.4381935Z     %transpose_301 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4382300Z     %select_350 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_301, 0, 0), kwargs = {})
2025-03-21T20:26:07.4382671Z     %select_351 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_350, 0, 7), kwargs = {})
2025-03-21T20:26:07.4383068Z     %transpose_302 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4383458Z     %select_352 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_302, 0, 0), kwargs = {})
2025-03-21T20:26:07.4383816Z     %select_353 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_352, 0, 8), kwargs = {})
2025-03-21T20:26:07.4384216Z     %transpose_303 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4384597Z     %select_354 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_303, 0, 0), kwargs = {})
2025-03-21T20:26:07.4384955Z     %select_355 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_354, 0, 9), kwargs = {})
2025-03-21T20:26:07.4385365Z     %transpose_304 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4385738Z     %select_356 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_304, 0, 0), kwargs = {})
2025-03-21T20:26:07.4386113Z     %select_357 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_356, 0, 10), kwargs = {})
2025-03-21T20:26:07.4386509Z     %transpose_305 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:07.4386887Z     %select_358 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_305, 0, 0), kwargs = {})
2025-03-21T20:26:07.4387248Z     %select_359 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_358, 0, 11), kwargs = {})
2025-03-21T20:26:07.4388015Z     %cat_14 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_337, %select_339, %select_341, %select_343, %select_345, %select_347, %select_349, %select_351, %select_353, %select_355, %select_357, %select_359],), kwargs = {})
2025-03-21T20:26:07.4388401Z     %view_93 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_14, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4388811Z     %transpose_306 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4389178Z     %select_360 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_306, 0, 0), kwargs = {})
2025-03-21T20:26:07.4389534Z     %select_361 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_360, 0, 0), kwargs = {})
2025-03-21T20:26:07.4389943Z     %transpose_307 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4390310Z     %select_362 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_307, 0, 0), kwargs = {})
2025-03-21T20:26:07.4390724Z     %select_363 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_362, 0, 1), kwargs = {})
2025-03-21T20:26:07.4391171Z     %transpose_308 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4391551Z     %select_364 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_308, 0, 0), kwargs = {})
2025-03-21T20:26:07.4391911Z     %select_365 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_364, 0, 2), kwargs = {})
2025-03-21T20:26:07.4392322Z     %transpose_309 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4392689Z     %select_366 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_309, 0, 0), kwargs = {})
2025-03-21T20:26:07.4393057Z     %select_367 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_366, 0, 3), kwargs = {})
2025-03-21T20:26:07.4393464Z     %transpose_310 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4393843Z     %select_368 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_310, 0, 0), kwargs = {})
2025-03-21T20:26:07.4394203Z     %select_369 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_368, 0, 4), kwargs = {})
2025-03-21T20:26:07.4394606Z     %transpose_311 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4394981Z     %select_370 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_311, 0, 0), kwargs = {})
2025-03-21T20:26:07.4395339Z     %select_371 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_370, 0, 5), kwargs = {})
2025-03-21T20:26:07.4395749Z     %transpose_312 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4396124Z     %select_372 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_312, 0, 0), kwargs = {})
2025-03-21T20:26:07.4396491Z     %select_373 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_372, 0, 6), kwargs = {})
2025-03-21T20:26:07.4396896Z     %transpose_313 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4397273Z     %select_374 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_313, 0, 0), kwargs = {})
2025-03-21T20:26:07.4397630Z     %select_375 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_374, 0, 7), kwargs = {})
2025-03-21T20:26:07.4398044Z     %transpose_314 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4398419Z     %select_376 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_314, 0, 0), kwargs = {})
2025-03-21T20:26:07.4398778Z     %select_377 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_376, 0, 8), kwargs = {})
2025-03-21T20:26:07.4399184Z     %transpose_315 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4399552Z     %select_378 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_315, 0, 0), kwargs = {})
2025-03-21T20:26:07.4399919Z     %select_379 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_378, 0, 9), kwargs = {})
2025-03-21T20:26:07.4400318Z     %transpose_316 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4400696Z     %select_380 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_316, 0, 0), kwargs = {})
2025-03-21T20:26:07.4401152Z     %select_381 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_380, 0, 10), kwargs = {})
2025-03-21T20:26:07.4401569Z     %transpose_317 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4401935Z     %select_382 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_317, 0, 0), kwargs = {})
2025-03-21T20:26:07.4402309Z     %select_383 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_382, 0, 11), kwargs = {})
2025-03-21T20:26:07.4403063Z     %cat_15 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_361, %select_363, %select_365, %select_367, %select_369, %select_371, %select_373, %select_375, %select_377, %select_379, %select_381, %select_383],), kwargs = {})
2025-03-21T20:26:07.4403455Z     %view_94 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_15, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4404015Z     %index_9 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___7___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4404424Z     %transpose_318 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_93, -2, -1), kwargs = {})
2025-03-21T20:26:07.4404850Z     %matmul_14 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_293, %transpose_318), kwargs = {})
2025-03-21T20:26:07.4411804Z     %mul_78 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_14, 0.125), kwargs = {})
2025-03-21T20:26:07.4412247Z     %add_37 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_78, %index_9), kwargs = {})
2025-03-21T20:26:07.4412604Z     %softmax_7 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_37, -1), kwargs = {})
2025-03-21T20:26:07.4413019Z     %matmul_15 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_7, %view_94), kwargs = {})
2025-03-21T20:26:07.4413413Z     %transpose_319 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_15, 1, 2), kwargs = {})
2025-03-21T20:26:07.4413813Z     %view_95 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_319, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4414205Z     %unsqueeze_52 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_95, -1), kwargs = {})
2025-03-21T20:26:07.4414620Z     %transpose_320 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_52, 1, 2), kwargs = {})
2025-03-21T20:26:07.4415195Z     %conv2d_52 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_320, %p_getattr_l__self___layers___7___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4415595Z     %transpose_321 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_52, 1, 2), kwargs = {})
2025-03-21T20:26:07.4415982Z     %squeeze_52 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_321, -1), kwargs = {})
2025-03-21T20:26:07.4416336Z     %add_38 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_34, %squeeze_52), kwargs = {})
2025-03-21T20:26:07.4416886Z     %rms_norm_15 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_38, [768], %p_getattr_l__self___layers___7___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4417299Z     %unsqueeze_53 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_15, -1), kwargs = {})
2025-03-21T20:26:07.4417708Z     %transpose_322 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_53, 1, 2), kwargs = {})
2025-03-21T20:26:07.4418462Z     %conv2d_53 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_322, %p_getattr_l__self___layers___7___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4418865Z     %transpose_323 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_53, 1, 2), kwargs = {})
2025-03-21T20:26:07.4419244Z     %squeeze_53 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_323, -1), kwargs = {})
2025-03-21T20:26:07.4419593Z     %silu_7 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_53,), kwargs = {})
2025-03-21T20:26:07.4420003Z     %unsqueeze_54 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_15, -1), kwargs = {})
2025-03-21T20:26:07.4420412Z     %transpose_324 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_54, 1, 2), kwargs = {})
2025-03-21T20:26:07.4420993Z     %conv2d_54 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_324, %p_getattr_l__self___layers___7___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4421485Z     %transpose_325 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_54, 1, 2), kwargs = {})
2025-03-21T20:26:07.4421862Z     %squeeze_54 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_325, -1), kwargs = {})
2025-03-21T20:26:07.4422217Z     %mul_79 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_7, %squeeze_54), kwargs = {})
2025-03-21T20:26:07.4422611Z     %unsqueeze_55 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_79, -1), kwargs = {})
2025-03-21T20:26:07.4423013Z     %transpose_326 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_55, 1, 2), kwargs = {})
2025-03-21T20:26:07.4423604Z     %conv2d_55 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_326, %p_getattr_l__self___layers___7___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4423997Z     %transpose_327 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_55, 1, 2), kwargs = {})
2025-03-21T20:26:07.4424380Z     %squeeze_55 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_327, -1), kwargs = {})
2025-03-21T20:26:07.4424729Z     %add_39 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_38, %squeeze_55), kwargs = {})
2025-03-21T20:26:07.4425301Z     %rms_norm_16 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_39, [768], %p_getattr_l__self___layers___8___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4425708Z     %unsqueeze_56 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:07.4426126Z     %transpose_328 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_56, 1, 2), kwargs = {})
2025-03-21T20:26:07.4426689Z     %conv2d_56 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_328, %p_getattr_l__self___layers___8___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4427091Z     %transpose_329 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_56, 1, 2), kwargs = {})
2025-03-21T20:26:07.4427463Z     %squeeze_56 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_329, -1), kwargs = {})
2025-03-21T20:26:07.4427870Z     %unsqueeze_57 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:07.4428276Z     %transpose_330 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_57, 1, 2), kwargs = {})
2025-03-21T20:26:07.4428905Z     %conv2d_57 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_330, %p_getattr_l__self___layers___8___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4429353Z     %transpose_331 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_57, 1, 2), kwargs = {})
2025-03-21T20:26:07.4429726Z     %squeeze_57 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_331, -1), kwargs = {})
2025-03-21T20:26:07.4430142Z     %unsqueeze_58 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:07.4430540Z     %transpose_332 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_58, 1, 2), kwargs = {})
2025-03-21T20:26:07.4431118Z     %conv2d_58 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_332, %p_getattr_l__self___layers___8___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4431510Z     %transpose_333 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_58, 1, 2), kwargs = {})
2025-03-21T20:26:07.4431889Z     %squeeze_58 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_333, -1), kwargs = {})
2025-03-21T20:26:07.4432270Z     %view_96 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_56, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4432663Z     %view_97 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_57, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4433044Z     %view_98 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_58, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4433467Z     %_to_copy_16 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_96,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4433869Z     %view_99 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_16, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4434215Z     %unbind_16 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_99, -1), kwargs = {})
2025-03-21T20:26:07.4434543Z     %getitem_32 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_16, 0), kwargs = {})
2025-03-21T20:26:07.4434859Z     %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_16, 1), kwargs = {})
2025-03-21T20:26:07.4435287Z     %_to_copy_17 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_97,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4435688Z     %view_100 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_17, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4436043Z     %unbind_17 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_100, -1), kwargs = {})
2025-03-21T20:26:07.4436368Z     %getitem_34 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_17, 0), kwargs = {})
2025-03-21T20:26:07.4436692Z     %getitem_35 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_17, 1), kwargs = {})
2025-03-21T20:26:07.4437064Z     %view_101 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4437447Z     %view_102 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4437804Z     %mul_80 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_32, %view_101), kwargs = {})
2025-03-21T20:26:07.4438158Z     %mul_81 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_33, %view_102), kwargs = {})
2025-03-21T20:26:07.4438505Z     %sub_16 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_80, %mul_81), kwargs = {})
2025-03-21T20:26:07.4438958Z     %mul_82 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_32, %view_102), kwargs = {})
2025-03-21T20:26:07.4439318Z     %mul_83 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_33, %view_101), kwargs = {})
2025-03-21T20:26:07.4439653Z     %add_40 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_82, %mul_83), kwargs = {})
2025-03-21T20:26:07.4440016Z     %mul_84 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_34, %view_101), kwargs = {})
2025-03-21T20:26:07.4440370Z     %mul_85 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_35, %view_102), kwargs = {})
2025-03-21T20:26:07.4440712Z     %sub_17 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_84, %mul_85), kwargs = {})
2025-03-21T20:26:07.4441065Z     %mul_86 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_34, %view_102), kwargs = {})
2025-03-21T20:26:07.4441434Z     %mul_87 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_35, %view_101), kwargs = {})
2025-03-21T20:26:07.4441765Z     %add_41 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_86, %mul_87), kwargs = {})
2025-03-21T20:26:07.4442150Z     %stack_16 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_16, %add_40], -1), kwargs = {})
2025-03-21T20:26:07.4442541Z     %view_103 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_16, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4442924Z     %stack_17 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_17, %add_41], -1), kwargs = {})
2025-03-21T20:26:07.4443312Z     %view_104 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_17, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4443691Z     %type_as_16 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_103, %view_96), kwargs = {})
2025-03-21T20:26:07.4444077Z     %type_as_17 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_104, %view_97), kwargs = {})
2025-03-21T20:26:07.4444470Z     %transpose_334 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4445194Z     %index_put_16 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___8___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_17), kwargs = {})
2025-03-21T20:26:07.4445893Z     %index_put_17 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___8___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_98), kwargs = {})
2025-03-21T20:26:07.4446306Z     %transpose_335 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4446684Z     %select_384 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_335, 0, 0), kwargs = {})
2025-03-21T20:26:07.4447056Z     %select_385 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_384, 0, 0), kwargs = {})
2025-03-21T20:26:07.4447454Z     %transpose_336 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4447837Z     %select_386 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_336, 0, 0), kwargs = {})
2025-03-21T20:26:07.4448194Z     %select_387 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_386, 0, 1), kwargs = {})
2025-03-21T20:26:07.4448593Z     %transpose_337 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4449063Z     %select_388 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_337, 0, 0), kwargs = {})
2025-03-21T20:26:07.4449423Z     %select_389 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_388, 0, 2), kwargs = {})
2025-03-21T20:26:07.4449839Z     %transpose_338 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4450206Z     %select_390 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_338, 0, 0), kwargs = {})
2025-03-21T20:26:07.4450575Z     %select_391 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_390, 0, 3), kwargs = {})
2025-03-21T20:26:07.4450973Z     %transpose_339 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4451353Z     %select_392 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_339, 0, 0), kwargs = {})
2025-03-21T20:26:07.4451717Z     %select_393 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_392, 0, 4), kwargs = {})
2025-03-21T20:26:07.4452129Z     %transpose_340 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4452499Z     %select_394 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_340, 0, 0), kwargs = {})
2025-03-21T20:26:07.4452859Z     %select_395 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_394, 0, 5), kwargs = {})
2025-03-21T20:26:07.4453272Z     %transpose_341 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4453639Z     %select_396 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_341, 0, 0), kwargs = {})
2025-03-21T20:26:07.4454011Z     %select_397 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_396, 0, 6), kwargs = {})
2025-03-21T20:26:07.4454413Z     %transpose_342 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4454795Z     %select_398 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_342, 0, 0), kwargs = {})
2025-03-21T20:26:07.4455152Z     %select_399 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_398, 0, 7), kwargs = {})
2025-03-21T20:26:07.4455561Z     %transpose_343 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4455931Z     %select_400 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_343, 0, 0), kwargs = {})
2025-03-21T20:26:07.4456296Z     %select_401 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_400, 0, 8), kwargs = {})
2025-03-21T20:26:07.4456706Z     %transpose_344 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4457084Z     %select_402 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_344, 0, 0), kwargs = {})
2025-03-21T20:26:07.4457444Z     %select_403 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_402, 0, 9), kwargs = {})
2025-03-21T20:26:07.4457844Z     %transpose_345 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4458224Z     %select_404 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_345, 0, 0), kwargs = {})
2025-03-21T20:26:07.4458591Z     %select_405 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_404, 0, 10), kwargs = {})
2025-03-21T20:26:07.4459001Z     %transpose_346 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:07.4459476Z     %select_406 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_346, 0, 0), kwargs = {})
2025-03-21T20:26:07.4459848Z     %select_407 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_406, 0, 11), kwargs = {})
2025-03-21T20:26:07.4460610Z     %cat_16 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_385, %select_387, %select_389, %select_391, %select_393, %select_395, %select_397, %select_399, %select_401, %select_403, %select_405, %select_407],), kwargs = {})
2025-03-21T20:26:07.4461004Z     %view_105 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_16, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4461496Z     %transpose_347 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4461883Z     %select_408 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_347, 0, 0), kwargs = {})
2025-03-21T20:26:07.4462246Z     %select_409 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_408, 0, 0), kwargs = {})
2025-03-21T20:26:07.4462657Z     %transpose_348 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4463027Z     %select_410 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_348, 0, 0), kwargs = {})
2025-03-21T20:26:07.4463388Z     %select_411 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_410, 0, 1), kwargs = {})
2025-03-21T20:26:07.4463800Z     %transpose_349 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4464170Z     %select_412 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_349, 0, 0), kwargs = {})
2025-03-21T20:26:07.4464548Z     %select_413 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_412, 0, 2), kwargs = {})
2025-03-21T20:26:07.4464949Z     %transpose_350 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4465325Z     %select_414 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_350, 0, 0), kwargs = {})
2025-03-21T20:26:07.4465683Z     %select_415 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_414, 0, 3), kwargs = {})
2025-03-21T20:26:07.4466091Z     %transpose_351 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4466459Z     %select_416 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_351, 0, 0), kwargs = {})
2025-03-21T20:26:07.4466829Z     %select_417 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_416, 0, 4), kwargs = {})
2025-03-21T20:26:07.4467231Z     %transpose_352 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4467610Z     %select_418 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_352, 0, 0), kwargs = {})
2025-03-21T20:26:07.4467967Z     %select_419 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_418, 0, 5), kwargs = {})
2025-03-21T20:26:07.4468367Z     %transpose_353 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4468744Z     %select_420 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_353, 0, 0), kwargs = {})
2025-03-21T20:26:07.4469105Z     %select_421 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_420, 0, 6), kwargs = {})
2025-03-21T20:26:07.4469616Z     %transpose_354 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4469984Z     %select_422 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_354, 0, 0), kwargs = {})
2025-03-21T20:26:07.4470355Z     %select_423 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_422, 0, 7), kwargs = {})
2025-03-21T20:26:07.4470752Z     %transpose_355 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4471134Z     %select_424 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_355, 0, 0), kwargs = {})
2025-03-21T20:26:07.4471489Z     %select_425 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_424, 0, 8), kwargs = {})
2025-03-21T20:26:07.4471902Z     %transpose_356 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4472276Z     %select_426 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_356, 0, 0), kwargs = {})
2025-03-21T20:26:07.4472633Z     %select_427 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_426, 0, 9), kwargs = {})
2025-03-21T20:26:07.4473045Z     %transpose_357 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4473410Z     %select_428 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_357, 0, 0), kwargs = {})
2025-03-21T20:26:07.4473787Z     %select_429 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_428, 0, 10), kwargs = {})
2025-03-21T20:26:07.4474185Z     %transpose_358 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4474574Z     %select_430 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_358, 0, 0), kwargs = {})
2025-03-21T20:26:07.4474937Z     %select_431 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_430, 0, 11), kwargs = {})
2025-03-21T20:26:07.4475942Z     %cat_17 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_409, %select_411, %select_413, %select_415, %select_417, %select_419, %select_421, %select_423, %select_425, %select_427, %select_429, %select_431],), kwargs = {})
2025-03-21T20:26:07.4476328Z     %view_106 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_17, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4476901Z     %index_10 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___8___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4477302Z     %transpose_359 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_105, -2, -1), kwargs = {})
2025-03-21T20:26:07.4477741Z     %matmul_16 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_334, %transpose_359), kwargs = {})
2025-03-21T20:26:07.4478086Z     %mul_88 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_16, 0.125), kwargs = {})
2025-03-21T20:26:07.4478442Z     %add_42 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_88, %index_10), kwargs = {})
2025-03-21T20:26:07.4478795Z     %softmax_8 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_42, -1), kwargs = {})
2025-03-21T20:26:07.4479183Z     %matmul_17 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_8, %view_106), kwargs = {})
2025-03-21T20:26:07.4479587Z     %transpose_360 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_17, 1, 2), kwargs = {})
2025-03-21T20:26:07.4480148Z     %view_107 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_360, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4480556Z     %unsqueeze_59 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_107, -1), kwargs = {})
2025-03-21T20:26:07.4480955Z     %transpose_361 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_59, 1, 2), kwargs = {})
2025-03-21T20:26:07.4481533Z     %conv2d_59 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_361, %p_getattr_l__self___layers___8___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4481923Z     %transpose_362 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_59, 1, 2), kwargs = {})
2025-03-21T20:26:07.4482306Z     %squeeze_59 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_362, -1), kwargs = {})
2025-03-21T20:26:07.4482663Z     %add_43 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_39, %squeeze_59), kwargs = {})
2025-03-21T20:26:07.4483211Z     %rms_norm_17 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_43, [768], %p_getattr_l__self___layers___8___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4483620Z     %unsqueeze_60 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_17, -1), kwargs = {})
2025-03-21T20:26:07.4484035Z     %transpose_363 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_60, 1, 2), kwargs = {})
2025-03-21T20:26:07.4484613Z     %conv2d_60 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_363, %p_getattr_l__self___layers___8___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4485013Z     %transpose_364 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_60, 1, 2), kwargs = {})
2025-03-21T20:26:07.4485399Z     %squeeze_60 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_364, -1), kwargs = {})
2025-03-21T20:26:07.4485742Z     %silu_8 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_60,), kwargs = {})
2025-03-21T20:26:07.4486161Z     %unsqueeze_61 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_17, -1), kwargs = {})
2025-03-21T20:26:07.4486567Z     %transpose_365 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_61, 1, 2), kwargs = {})
2025-03-21T20:26:07.4487155Z     %conv2d_61 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_365, %p_getattr_l__self___layers___8___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4487547Z     %transpose_366 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_61, 1, 2), kwargs = {})
2025-03-21T20:26:07.4487934Z     %squeeze_61 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_366, -1), kwargs = {})
2025-03-21T20:26:07.4488287Z     %mul_89 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_8, %squeeze_61), kwargs = {})
2025-03-21T20:26:07.4488679Z     %unsqueeze_62 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_89, -1), kwargs = {})
2025-03-21T20:26:07.4489079Z     %transpose_367 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_62, 1, 2), kwargs = {})
2025-03-21T20:26:07.4489660Z     %conv2d_62 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_367, %p_getattr_l__self___layers___8___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4490048Z     %transpose_368 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_62, 1, 2), kwargs = {})
2025-03-21T20:26:07.4490480Z     %squeeze_62 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_368, -1), kwargs = {})
2025-03-21T20:26:07.4490879Z     %add_44 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_43, %squeeze_62), kwargs = {})
2025-03-21T20:26:07.4491439Z     %rms_norm_18 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_44, [768], %p_getattr_l__self___layers___9___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4491855Z     %unsqueeze_63 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:07.4492254Z     %transpose_369 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_63, 1, 2), kwargs = {})
2025-03-21T20:26:07.4492831Z     %conv2d_63 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_369, %p_getattr_l__self___layers___9___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4493226Z     %transpose_370 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_63, 1, 2), kwargs = {})
2025-03-21T20:26:07.4493608Z     %squeeze_63 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_370, -1), kwargs = {})
2025-03-21T20:26:07.4494014Z     %unsqueeze_64 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:07.4494424Z     %transpose_371 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_64, 1, 2), kwargs = {})
2025-03-21T20:26:07.4494989Z     %conv2d_64 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_371, %p_getattr_l__self___layers___9___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4495391Z     %transpose_372 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_64, 1, 2), kwargs = {})
2025-03-21T20:26:07.4495767Z     %squeeze_64 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_372, -1), kwargs = {})
2025-03-21T20:26:07.4496191Z     %unsqueeze_65 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:07.4496592Z     %transpose_373 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_65, 1, 2), kwargs = {})
2025-03-21T20:26:07.4497159Z     %conv2d_65 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_373, %p_getattr_l__self___layers___9___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4497560Z     %transpose_374 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_65, 1, 2), kwargs = {})
2025-03-21T20:26:07.4497931Z     %squeeze_65 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_374, -1), kwargs = {})
2025-03-21T20:26:07.4498334Z     %view_108 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_63, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4498725Z     %view_109 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_64, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4499120Z     %view_110 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_65, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4499540Z     %_to_copy_18 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_108,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4499952Z     %view_111 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_18, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4500300Z     %unbind_18 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_111, -1), kwargs = {})
2025-03-21T20:26:07.4500629Z     %getitem_36 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_18, 0), kwargs = {})
2025-03-21T20:26:07.4501052Z     %getitem_37 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_18, 1), kwargs = {})
2025-03-21T20:26:07.4501555Z     %_to_copy_19 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_109,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4501956Z     %view_112 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_19, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4502302Z     %unbind_19 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_112, -1), kwargs = {})
2025-03-21T20:26:07.4502632Z     %getitem_38 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_19, 0), kwargs = {})
2025-03-21T20:26:07.4502949Z     %getitem_39 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_19, 1), kwargs = {})
2025-03-21T20:26:07.4503327Z     %view_113 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4503708Z     %view_114 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4504075Z     %mul_90 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_36, %view_113), kwargs = {})
2025-03-21T20:26:07.4504432Z     %mul_91 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_37, %view_114), kwargs = {})
2025-03-21T20:26:07.4504776Z     %sub_18 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_90, %mul_91), kwargs = {})
2025-03-21T20:26:07.4505132Z     %mul_92 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_36, %view_114), kwargs = {})
2025-03-21T20:26:07.4505491Z     %mul_93 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_37, %view_113), kwargs = {})
2025-03-21T20:26:07.4505832Z     %add_45 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_92, %mul_93), kwargs = {})
2025-03-21T20:26:07.4506192Z     %mul_94 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_38, %view_113), kwargs = {})
2025-03-21T20:26:07.4506549Z     %mul_95 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_39, %view_114), kwargs = {})
2025-03-21T20:26:07.4506884Z     %sub_19 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_94, %mul_95), kwargs = {})
2025-03-21T20:26:07.4507245Z     %mul_96 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_38, %view_114), kwargs = {})
2025-03-21T20:26:07.4507599Z     %mul_97 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_39, %view_113), kwargs = {})
2025-03-21T20:26:07.4507942Z     %add_46 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_96, %mul_97), kwargs = {})
2025-03-21T20:26:07.4508334Z     %stack_18 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_18, %add_45], -1), kwargs = {})
2025-03-21T20:26:07.4508727Z     %view_115 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_18, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4509108Z     %stack_19 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_19, %add_46], -1), kwargs = {})
2025-03-21T20:26:07.4509499Z     %view_116 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_19, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4509874Z     %type_as_18 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_115, %view_108), kwargs = {})
2025-03-21T20:26:07.4510260Z     %type_as_19 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_116, %view_109), kwargs = {})
2025-03-21T20:26:07.4510653Z     %transpose_375 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4511491Z     %index_put_18 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___9___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_19), kwargs = {})
2025-03-21T20:26:07.4512197Z     %index_put_19 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___9___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_110), kwargs = {})
2025-03-21T20:26:07.4512603Z     %transpose_376 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4512987Z     %select_432 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_376, 0, 0), kwargs = {})
2025-03-21T20:26:07.4513346Z     %select_433 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_432, 0, 0), kwargs = {})
2025-03-21T20:26:07.4513762Z     %transpose_377 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4514133Z     %select_434 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_377, 0, 0), kwargs = {})
2025-03-21T20:26:07.4514505Z     %select_435 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_434, 0, 1), kwargs = {})
2025-03-21T20:26:07.4514903Z     %transpose_378 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4515285Z     %select_436 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_378, 0, 0), kwargs = {})
2025-03-21T20:26:07.4515641Z     %select_437 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_436, 0, 2), kwargs = {})
2025-03-21T20:26:07.4516058Z     %transpose_379 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4516432Z     %select_438 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_379, 0, 0), kwargs = {})
2025-03-21T20:26:07.4516790Z     %select_439 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_438, 0, 3), kwargs = {})
2025-03-21T20:26:07.4517199Z     %transpose_380 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4517566Z     %select_440 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_380, 0, 0), kwargs = {})
2025-03-21T20:26:07.4517936Z     %select_441 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_440, 0, 4), kwargs = {})
2025-03-21T20:26:07.4518334Z     %transpose_381 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4518724Z     %select_442 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_381, 0, 0), kwargs = {})
2025-03-21T20:26:07.4519084Z     %select_443 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_442, 0, 5), kwargs = {})
2025-03-21T20:26:07.4519496Z     %transpose_382 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4519895Z     %select_444 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_382, 0, 0), kwargs = {})
2025-03-21T20:26:07.4520346Z     %select_445 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_444, 0, 6), kwargs = {})
2025-03-21T20:26:07.4520751Z     %transpose_383 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4521132Z     %select_446 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_383, 0, 0), kwargs = {})
2025-03-21T20:26:07.4521593Z     %select_447 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_446, 0, 7), kwargs = {})
2025-03-21T20:26:07.4521992Z     %transpose_384 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4522373Z     %select_448 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_384, 0, 0), kwargs = {})
2025-03-21T20:26:07.4522729Z     %select_449 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_448, 0, 8), kwargs = {})
2025-03-21T20:26:07.4523140Z     %transpose_385 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4523511Z     %select_450 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_385, 0, 0), kwargs = {})
2025-03-21T20:26:07.4523886Z     %select_451 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_450, 0, 9), kwargs = {})
2025-03-21T20:26:07.4524288Z     %transpose_386 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4524664Z     %select_452 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_386, 0, 0), kwargs = {})
2025-03-21T20:26:07.4525030Z     %select_453 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_452, 0, 10), kwargs = {})
2025-03-21T20:26:07.4525440Z     %transpose_387 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:07.4525808Z     %select_454 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_387, 0, 0), kwargs = {})
2025-03-21T20:26:07.4526184Z     %select_455 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_454, 0, 11), kwargs = {})
2025-03-21T20:26:07.4526954Z     %cat_18 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_433, %select_435, %select_437, %select_439, %select_441, %select_443, %select_445, %select_447, %select_449, %select_451, %select_453, %select_455],), kwargs = {})
2025-03-21T20:26:07.4527339Z     %view_117 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_18, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4527748Z     %transpose_388 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4528121Z     %select_456 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_388, 0, 0), kwargs = {})
2025-03-21T20:26:07.4528488Z     %select_457 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_456, 0, 0), kwargs = {})
2025-03-21T20:26:07.4528886Z     %transpose_389 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4529269Z     %select_458 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_389, 0, 0), kwargs = {})
2025-03-21T20:26:07.4529629Z     %select_459 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_458, 0, 1), kwargs = {})
2025-03-21T20:26:07.4530037Z     %transpose_390 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4530408Z     %select_460 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_390, 0, 0), kwargs = {})
2025-03-21T20:26:07.4530774Z     %select_461 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_460, 0, 2), kwargs = {})
2025-03-21T20:26:07.4531174Z     %transpose_391 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4531648Z     %select_462 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_391, 0, 0), kwargs = {})
2025-03-21T20:26:07.4532006Z     %select_463 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_462, 0, 3), kwargs = {})
2025-03-21T20:26:07.4532408Z     %transpose_392 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4532789Z     %select_464 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_392, 0, 0), kwargs = {})
2025-03-21T20:26:07.4533147Z     %select_465 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_464, 0, 4), kwargs = {})
2025-03-21T20:26:07.4533559Z     %transpose_393 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4533927Z     %select_466 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_393, 0, 0), kwargs = {})
2025-03-21T20:26:07.4534309Z     %select_467 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_466, 0, 5), kwargs = {})
2025-03-21T20:26:07.4534708Z     %transpose_394 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4535087Z     %select_468 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_394, 0, 0), kwargs = {})
2025-03-21T20:26:07.4535444Z     %select_469 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_468, 0, 6), kwargs = {})
2025-03-21T20:26:07.4535857Z     %transpose_395 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4536223Z     %select_470 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_395, 0, 0), kwargs = {})
2025-03-21T20:26:07.4536585Z     %select_471 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_470, 0, 7), kwargs = {})
2025-03-21T20:26:07.4536993Z     %transpose_396 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4537360Z     %select_472 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_396, 0, 0), kwargs = {})
2025-03-21T20:26:07.4537732Z     %select_473 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_472, 0, 8), kwargs = {})
2025-03-21T20:26:07.4538130Z     %transpose_397 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4538511Z     %select_474 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_397, 0, 0), kwargs = {})
2025-03-21T20:26:07.4538868Z     %select_475 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_474, 0, 9), kwargs = {})
2025-03-21T20:26:07.4539286Z     %transpose_398 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4539648Z     %select_476 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_398, 0, 0), kwargs = {})
2025-03-21T20:26:07.4540011Z     %select_477 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_476, 0, 10), kwargs = {})
2025-03-21T20:26:07.4540429Z     %transpose_399 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4540795Z     %select_478 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_399, 0, 0), kwargs = {})
2025-03-21T20:26:07.4541168Z     %select_479 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_478, 0, 11), kwargs = {})
2025-03-21T20:26:07.4542065Z     %cat_19 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_457, %select_459, %select_461, %select_463, %select_465, %select_467, %select_469, %select_471, %select_473, %select_475, %select_477, %select_479],), kwargs = {})
2025-03-21T20:26:07.4542513Z     %view_118 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_19, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4543071Z     %index_11 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___9___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4543478Z     %transpose_400 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_117, -2, -1), kwargs = {})
2025-03-21T20:26:07.4543902Z     %matmul_18 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_375, %transpose_400), kwargs = {})
2025-03-21T20:26:07.4544251Z     %mul_98 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_18, 0.125), kwargs = {})
2025-03-21T20:26:07.4544604Z     %add_47 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_98, %index_11), kwargs = {})
2025-03-21T20:26:07.4544954Z     %softmax_9 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_47, -1), kwargs = {})
2025-03-21T20:26:07.4545359Z     %matmul_19 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_9, %view_118), kwargs = {})
2025-03-21T20:26:07.4545752Z     %transpose_401 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_19, 1, 2), kwargs = {})
2025-03-21T20:26:07.4546153Z     %view_119 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_401, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4546549Z     %unsqueeze_66 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_119, -1), kwargs = {})
2025-03-21T20:26:07.4546966Z     %transpose_402 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_66, 1, 2), kwargs = {})
2025-03-21T20:26:07.4547541Z     %conv2d_66 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_402, %p_getattr_l__self___layers___9___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4547939Z     %transpose_403 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_66, 1, 2), kwargs = {})
2025-03-21T20:26:07.4548314Z     %squeeze_66 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_403, -1), kwargs = {})
2025-03-21T20:26:07.4548674Z     %add_48 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_44, %squeeze_66), kwargs = {})
2025-03-21T20:26:07.4549214Z     %rms_norm_19 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_48, [768], %p_getattr_l__self___layers___9___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4549641Z     %unsqueeze_67 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_19, -1), kwargs = {})
2025-03-21T20:26:07.4550042Z     %transpose_404 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_67, 1, 2), kwargs = {})
2025-03-21T20:26:07.4550627Z     %conv2d_67 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_404, %p_getattr_l__self___layers___9___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4551018Z     %transpose_405 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_67, 1, 2), kwargs = {})
2025-03-21T20:26:07.4551391Z     %squeeze_67 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_405, -1), kwargs = {})
2025-03-21T20:26:07.4551743Z     %silu_9 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_67,), kwargs = {})
2025-03-21T20:26:07.4552198Z     %unsqueeze_68 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_19, -1), kwargs = {})
2025-03-21T20:26:07.4552715Z     %transpose_406 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_68, 1, 2), kwargs = {})
2025-03-21T20:26:07.4553293Z     %conv2d_68 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_406, %p_getattr_l__self___layers___9___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4553690Z     %transpose_407 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_68, 1, 2), kwargs = {})
2025-03-21T20:26:07.4554065Z     %squeeze_68 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_407, -1), kwargs = {})
2025-03-21T20:26:07.4554424Z     %mul_99 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_9, %squeeze_68), kwargs = {})
2025-03-21T20:26:07.4554810Z     %unsqueeze_69 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_99, -1), kwargs = {})
2025-03-21T20:26:07.4555225Z     %transpose_408 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_69, 1, 2), kwargs = {})
2025-03-21T20:26:07.4555797Z     %conv2d_69 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_408, %p_getattr_l__self___layers___9___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4556191Z     %transpose_409 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_69, 1, 2), kwargs = {})
2025-03-21T20:26:07.4556564Z     %squeeze_69 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_409, -1), kwargs = {})
2025-03-21T20:26:07.4556921Z     %add_49 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_48, %squeeze_69), kwargs = {})
2025-03-21T20:26:07.4557486Z     %rms_norm_20 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_49, [768], %p_getattr_l__self___layers___10___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4557908Z     %unsqueeze_70 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:07.4558304Z     %transpose_410 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_70, 1, 2), kwargs = {})
2025-03-21T20:26:07.4558883Z     %conv2d_70 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_410, %p_getattr_l__self___layers___10___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4559274Z     %transpose_411 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_70, 1, 2), kwargs = {})
2025-03-21T20:26:07.4559653Z     %squeeze_70 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_411, -1), kwargs = {})
2025-03-21T20:26:07.4560062Z     %unsqueeze_71 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:07.4560465Z     %transpose_412 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_71, 1, 2), kwargs = {})
2025-03-21T20:26:07.4561137Z     %conv2d_71 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_412, %p_getattr_l__self___layers___10___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4561522Z     %transpose_413 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_71, 1, 2), kwargs = {})
2025-03-21T20:26:07.4561904Z     %squeeze_71 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_413, -1), kwargs = {})
2025-03-21T20:26:07.4562308Z     %unsqueeze_72 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:07.4562718Z     %transpose_414 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_72, 1, 2), kwargs = {})
2025-03-21T20:26:07.4563393Z     %conv2d_72 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_414, %p_getattr_l__self___layers___10___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4563790Z     %transpose_415 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_72, 1, 2), kwargs = {})
2025-03-21T20:26:07.4564164Z     %squeeze_72 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_415, -1), kwargs = {})
2025-03-21T20:26:07.4564557Z     %view_120 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_70, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4564944Z     %view_121 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_71, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4565331Z     %view_122 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_72, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4565763Z     %_to_copy_20 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_120,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4566170Z     %view_123 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_20, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4566519Z     %unbind_20 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_123, -1), kwargs = {})
2025-03-21T20:26:07.4566840Z     %getitem_40 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_20, 0), kwargs = {})
2025-03-21T20:26:07.4567163Z     %getitem_41 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_20, 1), kwargs = {})
2025-03-21T20:26:07.4567584Z     %_to_copy_21 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_121,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4567996Z     %view_124 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_21, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4568344Z     %unbind_21 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_124, -1), kwargs = {})
2025-03-21T20:26:07.4568667Z     %getitem_42 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_21, 0), kwargs = {})
2025-03-21T20:26:07.4568987Z     %getitem_43 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_21, 1), kwargs = {})
2025-03-21T20:26:07.4569363Z     %view_125 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4569736Z     %view_126 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4570103Z     %mul_100 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_40, %view_125), kwargs = {})
2025-03-21T20:26:07.4570470Z     %mul_101 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_41, %view_126), kwargs = {})
2025-03-21T20:26:07.4570816Z     %sub_20 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_100, %mul_101), kwargs = {})
2025-03-21T20:26:07.4571185Z     %mul_102 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_40, %view_126), kwargs = {})
2025-03-21T20:26:07.4571542Z     %mul_103 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_41, %view_125), kwargs = {})
2025-03-21T20:26:07.4571891Z     %add_50 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_102, %mul_103), kwargs = {})
2025-03-21T20:26:07.4572250Z     %mul_104 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_42, %view_125), kwargs = {})
2025-03-21T20:26:07.4572610Z     %mul_105 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_43, %view_126), kwargs = {})
2025-03-21T20:26:07.4573047Z     %sub_21 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_104, %mul_105), kwargs = {})
2025-03-21T20:26:07.4573413Z     %mul_106 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_42, %view_126), kwargs = {})
2025-03-21T20:26:07.4573770Z     %mul_107 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_43, %view_125), kwargs = {})
2025-03-21T20:26:07.4574119Z     %add_51 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_106, %mul_107), kwargs = {})
2025-03-21T20:26:07.4574500Z     %stack_20 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_20, %add_50], -1), kwargs = {})
2025-03-21T20:26:07.4574880Z     %view_127 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_20, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4575272Z     %stack_21 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_21, %add_51], -1), kwargs = {})
2025-03-21T20:26:07.4575818Z     %view_128 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_21, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4576207Z     %type_as_20 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_127, %view_120), kwargs = {})
2025-03-21T20:26:07.4576583Z     %type_as_21 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_128, %view_121), kwargs = {})
2025-03-21T20:26:07.4576984Z     %transpose_416 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4577700Z     %index_put_20 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___10___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_21), kwargs = {})
2025-03-21T20:26:07.4578418Z     %index_put_21 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___10___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_122), kwargs = {})
2025-03-21T20:26:07.4581904Z     %transpose_417 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4582285Z     %select_480 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_417, 0, 0), kwargs = {})
2025-03-21T20:26:07.4582644Z     %select_481 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_480, 0, 0), kwargs = {})
2025-03-21T20:26:07.4583044Z     %transpose_418 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4583421Z     %select_482 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_418, 0, 0), kwargs = {})
2025-03-21T20:26:07.4583789Z     %select_483 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_482, 0, 1), kwargs = {})
2025-03-21T20:26:07.4584196Z     %transpose_419 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4584588Z     %select_484 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_419, 0, 0), kwargs = {})
2025-03-21T20:26:07.4584954Z     %select_485 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_484, 0, 2), kwargs = {})
2025-03-21T20:26:07.4585350Z     %transpose_420 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4585723Z     %select_486 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_420, 0, 0), kwargs = {})
2025-03-21T20:26:07.4586080Z     %select_487 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_486, 0, 3), kwargs = {})
2025-03-21T20:26:07.4586606Z     %transpose_421 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4586982Z     %select_488 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_421, 0, 0), kwargs = {})
2025-03-21T20:26:07.4587342Z     %select_489 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_488, 0, 4), kwargs = {})
2025-03-21T20:26:07.4587746Z     %transpose_422 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4588115Z     %select_490 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_422, 0, 0), kwargs = {})
2025-03-21T20:26:07.4588480Z     %select_491 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_490, 0, 5), kwargs = {})
2025-03-21T20:26:07.4588883Z     %transpose_423 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4589259Z     %select_492 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_423, 0, 0), kwargs = {})
2025-03-21T20:26:07.4589619Z     %select_493 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_492, 0, 6), kwargs = {})
2025-03-21T20:26:07.4590028Z     %transpose_424 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4590397Z     %select_494 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_424, 0, 0), kwargs = {})
2025-03-21T20:26:07.4590763Z     %select_495 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_494, 0, 7), kwargs = {})
2025-03-21T20:26:07.4591160Z     %transpose_425 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4591535Z     %select_496 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_425, 0, 0), kwargs = {})
2025-03-21T20:26:07.4591902Z     %select_497 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_496, 0, 8), kwargs = {})
2025-03-21T20:26:07.4592370Z     %transpose_426 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4592745Z     %select_498 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_426, 0, 0), kwargs = {})
2025-03-21T20:26:07.4593103Z     %select_499 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_498, 0, 9), kwargs = {})
2025-03-21T20:26:07.4593508Z     %transpose_427 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4593880Z     %select_500 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_427, 0, 0), kwargs = {})
2025-03-21T20:26:07.4594253Z     %select_501 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_500, 0, 10), kwargs = {})
2025-03-21T20:26:07.4594653Z     %transpose_428 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:07.4595029Z     %select_502 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_428, 0, 0), kwargs = {})
2025-03-21T20:26:07.4595396Z     %select_503 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_502, 0, 11), kwargs = {})
2025-03-21T20:26:07.4596168Z     %cat_20 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_481, %select_483, %select_485, %select_487, %select_489, %select_491, %select_493, %select_495, %select_497, %select_499, %select_501, %select_503],), kwargs = {})
2025-03-21T20:26:07.4596629Z     %view_129 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_20, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4597031Z     %transpose_429 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4597407Z     %select_504 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_429, 0, 0), kwargs = {})
2025-03-21T20:26:07.4597766Z     %select_505 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_504, 0, 0), kwargs = {})
2025-03-21T20:26:07.4598173Z     %transpose_430 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4598540Z     %select_506 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_430, 0, 0), kwargs = {})
2025-03-21T20:26:07.4598906Z     %select_507 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_506, 0, 1), kwargs = {})
2025-03-21T20:26:07.4599316Z     %transpose_431 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4599695Z     %select_508 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_431, 0, 0), kwargs = {})
2025-03-21T20:26:07.4600056Z     %select_509 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_508, 0, 2), kwargs = {})
2025-03-21T20:26:07.4600461Z     %transpose_432 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4600830Z     %select_510 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_432, 0, 0), kwargs = {})
2025-03-21T20:26:07.4601197Z     %select_511 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_510, 0, 3), kwargs = {})
2025-03-21T20:26:07.4601783Z     %transpose_433 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4602160Z     %select_512 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_433, 0, 0), kwargs = {})
2025-03-21T20:26:07.4602580Z     %select_513 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_512, 0, 4), kwargs = {})
2025-03-21T20:26:07.4602981Z     %transpose_434 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4603357Z     %select_514 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_434, 0, 0), kwargs = {})
2025-03-21T20:26:07.4603715Z     %select_515 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_514, 0, 5), kwargs = {})
2025-03-21T20:26:07.4604121Z     %transpose_435 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4604495Z     %select_516 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_435, 0, 0), kwargs = {})
2025-03-21T20:26:07.4604858Z     %select_517 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_516, 0, 6), kwargs = {})
2025-03-21T20:26:07.4605260Z     %transpose_436 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4605638Z     %select_518 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_436, 0, 0), kwargs = {})
2025-03-21T20:26:07.4605996Z     %select_519 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_518, 0, 7), kwargs = {})
2025-03-21T20:26:07.4606396Z     %transpose_437 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4606821Z     %select_520 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_437, 0, 0), kwargs = {})
2025-03-21T20:26:07.4607204Z     %select_521 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_520, 0, 8), kwargs = {})
2025-03-21T20:26:07.4607612Z     %transpose_438 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4607979Z     %select_522 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_438, 0, 0), kwargs = {})
2025-03-21T20:26:07.4608346Z     %select_523 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_522, 0, 9), kwargs = {})
2025-03-21T20:26:07.4608747Z     %transpose_439 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4609121Z     %select_524 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_439, 0, 0), kwargs = {})
2025-03-21T20:26:07.4609493Z     %select_525 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_524, 0, 10), kwargs = {})
2025-03-21T20:26:07.4609901Z     %transpose_440 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4610272Z     %select_526 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_440, 0, 0), kwargs = {})
2025-03-21T20:26:07.4610643Z     %select_527 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_526, 0, 11), kwargs = {})
2025-03-21T20:26:07.4611397Z     %cat_21 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_505, %select_507, %select_509, %select_511, %select_513, %select_515, %select_517, %select_519, %select_521, %select_523, %select_525, %select_527],), kwargs = {})
2025-03-21T20:26:07.4611782Z     %view_130 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_21, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4612351Z     %index_12 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___10___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4612782Z     %transpose_441 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_129, -2, -1), kwargs = {})
2025-03-21T20:26:07.4613215Z     %matmul_20 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_416, %transpose_441), kwargs = {})
2025-03-21T20:26:07.4613563Z     %mul_108 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_20, 0.125), kwargs = {})
2025-03-21T20:26:07.4613918Z     %add_52 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_108, %index_12), kwargs = {})
2025-03-21T20:26:07.4614272Z     %softmax_10 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_52, -1), kwargs = {})
2025-03-21T20:26:07.4614682Z     %matmul_21 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_10, %view_130), kwargs = {})
2025-03-21T20:26:07.4615073Z     %transpose_442 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_21, 1, 2), kwargs = {})
2025-03-21T20:26:07.4615470Z     %view_131 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_442, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4615868Z     %unsqueeze_73 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_131, -1), kwargs = {})
2025-03-21T20:26:07.4616277Z     %transpose_443 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_73, 1, 2), kwargs = {})
2025-03-21T20:26:07.4616852Z     %conv2d_73 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_443, %p_getattr_l__self___layers___10___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4617333Z     %transpose_444 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_73, 1, 2), kwargs = {})
2025-03-21T20:26:07.4617709Z     %squeeze_73 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_444, -1), kwargs = {})
2025-03-21T20:26:07.4618061Z     %add_53 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_49, %squeeze_73), kwargs = {})
2025-03-21T20:26:07.4618605Z     %rms_norm_21 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_53, [768], %p_getattr_l__self___layers___10___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4619012Z     %unsqueeze_74 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_21, -1), kwargs = {})
2025-03-21T20:26:07.4619420Z     %transpose_445 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_74, 1, 2), kwargs = {})
2025-03-21T20:26:07.4620004Z     %conv2d_74 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_445, %p_getattr_l__self___layers___10___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4620401Z     %transpose_446 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_74, 1, 2), kwargs = {})
2025-03-21T20:26:07.4620778Z     %squeeze_74 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_446, -1), kwargs = {})
2025-03-21T20:26:07.4621129Z     %silu_10 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_74,), kwargs = {})
2025-03-21T20:26:07.4621604Z     %unsqueeze_75 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_21, -1), kwargs = {})
2025-03-21T20:26:07.4622015Z     %transpose_447 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_75, 1, 2), kwargs = {})
2025-03-21T20:26:07.4622602Z     %conv2d_75 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_447, %p_getattr_l__self___layers___10___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4622999Z     %transpose_448 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_75, 1, 2), kwargs = {})
2025-03-21T20:26:07.4623404Z     %squeeze_75 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_448, -1), kwargs = {})
2025-03-21T20:26:07.4623762Z     %mul_109 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_10, %squeeze_75), kwargs = {})
2025-03-21T20:26:07.4624161Z     %unsqueeze_76 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_109, -1), kwargs = {})
2025-03-21T20:26:07.4624563Z     %transpose_449 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_76, 1, 2), kwargs = {})
2025-03-21T20:26:07.4625148Z     %conv2d_76 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_449, %p_getattr_l__self___layers___10___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4625540Z     %transpose_450 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_76, 1, 2), kwargs = {})
2025-03-21T20:26:07.4625922Z     %squeeze_76 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_450, -1), kwargs = {})
2025-03-21T20:26:07.4626268Z     %add_54 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_53, %squeeze_76), kwargs = {})
2025-03-21T20:26:07.4626837Z     %rms_norm_22 : [num_users=3] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_54, [768], %p_getattr_l__self___layers___11___attention_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4627245Z     %unsqueeze_77 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:07.4627700Z     %transpose_451 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_77, 1, 2), kwargs = {})
2025-03-21T20:26:07.4628292Z     %conv2d_77 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_451, %p_getattr_l__self___layers___11___attention_wq_conv_weight), kwargs = {})
2025-03-21T20:26:07.4628692Z     %transpose_452 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_77, 1, 2), kwargs = {})
2025-03-21T20:26:07.4629065Z     %squeeze_77 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_452, -1), kwargs = {})
2025-03-21T20:26:07.4629481Z     %unsqueeze_78 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:07.4629878Z     %transpose_453 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_78, 1, 2), kwargs = {})
2025-03-21T20:26:07.4630449Z     %conv2d_78 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_453, %p_getattr_l__self___layers___11___attention_wk_conv_weight), kwargs = {})
2025-03-21T20:26:07.4630851Z     %transpose_454 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_78, 1, 2), kwargs = {})
2025-03-21T20:26:07.4631224Z     %squeeze_78 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_454, -1), kwargs = {})
2025-03-21T20:26:07.4631637Z     %unsqueeze_79 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:07.4632035Z     %transpose_455 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_79, 1, 2), kwargs = {})
2025-03-21T20:26:07.4632613Z     %conv2d_79 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_455, %p_getattr_l__self___layers___11___attention_wv_conv_weight), kwargs = {})
2025-03-21T20:26:07.4633005Z     %transpose_456 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_79, 1, 2), kwargs = {})
2025-03-21T20:26:07.4633389Z     %squeeze_79 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_456, -1), kwargs = {})
2025-03-21T20:26:07.4633801Z     %view_132 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_77, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4634192Z     %view_133 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_78, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4634575Z     %view_134 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_79, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4635006Z     %_to_copy_22 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_132,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4635406Z     %view_135 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_22, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4635762Z     %unbind_22 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_135, -1), kwargs = {})
2025-03-21T20:26:07.4636089Z     %getitem_44 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_22, 0), kwargs = {})
2025-03-21T20:26:07.4636410Z     %getitem_45 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_22, 1), kwargs = {})
2025-03-21T20:26:07.4636839Z     %_to_copy_23 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_133,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:07.4637237Z     %view_136 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_23, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:07.4637594Z     %unbind_23 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_136, -1), kwargs = {})
2025-03-21T20:26:07.4637958Z     %getitem_46 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_23, 0), kwargs = {})
2025-03-21T20:26:07.4638301Z     %getitem_47 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_23, 1), kwargs = {})
2025-03-21T20:26:07.4638672Z     %view_137 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4639054Z     %view_138 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:07.4639414Z     %mul_110 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_44, %view_137), kwargs = {})
2025-03-21T20:26:07.4639775Z     %mul_111 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_45, %view_138), kwargs = {})
2025-03-21T20:26:07.4640125Z     %sub_22 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_110, %mul_111), kwargs = {})
2025-03-21T20:26:07.4640490Z     %mul_112 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_44, %view_138), kwargs = {})
2025-03-21T20:26:07.4640858Z     %mul_113 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_45, %view_137), kwargs = {})
2025-03-21T20:26:07.4641208Z     %add_55 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_112, %mul_113), kwargs = {})
2025-03-21T20:26:07.4641577Z     %mul_114 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_46, %view_137), kwargs = {})
2025-03-21T20:26:07.4641935Z     %mul_115 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_47, %view_138), kwargs = {})
2025-03-21T20:26:07.4642286Z     %sub_23 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_114, %mul_115), kwargs = {})
2025-03-21T20:26:07.4642644Z     %mul_116 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_46, %view_138), kwargs = {})
2025-03-21T20:26:07.4643014Z     %mul_117 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_47, %view_137), kwargs = {})
2025-03-21T20:26:07.4643356Z     %add_56 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_116, %mul_117), kwargs = {})
2025-03-21T20:26:07.4643764Z     %stack_22 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_22, %add_55], -1), kwargs = {})
2025-03-21T20:26:07.4644153Z     %view_139 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_22, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4644533Z     %stack_23 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_23, %add_56], -1), kwargs = {})
2025-03-21T20:26:07.4644917Z     %view_140 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_23, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:07.4645298Z     %type_as_22 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_139, %view_132), kwargs = {})
2025-03-21T20:26:07.4645683Z     %type_as_23 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_140, %view_133), kwargs = {})
2025-03-21T20:26:07.4646076Z     %transpose_457 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4646795Z     %index_put_22 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___11___attention_kv_cache_past_k_caches, [None, %attn_options_input_pos], %type_as_23), kwargs = {})
2025-03-21T20:26:07.4647494Z     %index_put_23 : [num_users=13] = call_function[target=torch.ops.aten.index_put.default](args = (%b_getattr_l__self___layers___11___attention_kv_cache_past_v_caches, [None, %attn_options_input_pos], %view_134), kwargs = {})
2025-03-21T20:26:07.4647901Z     %transpose_458 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4648347Z     %select_528 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_458, 0, 0), kwargs = {})
2025-03-21T20:26:07.4648713Z     %select_529 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_528, 0, 0), kwargs = {})
2025-03-21T20:26:07.4649112Z     %transpose_459 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4649485Z     %select_530 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_459, 0, 0), kwargs = {})
2025-03-21T20:26:07.4649840Z     %select_531 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_530, 0, 1), kwargs = {})
2025-03-21T20:26:07.4650237Z     %transpose_460 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4650614Z     %select_532 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_460, 0, 0), kwargs = {})
2025-03-21T20:26:07.4650968Z     %select_533 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_532, 0, 2), kwargs = {})
2025-03-21T20:26:07.4651371Z     %transpose_461 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4651737Z     %select_534 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_461, 0, 0), kwargs = {})
2025-03-21T20:26:07.4652097Z     %select_535 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_534, 0, 3), kwargs = {})
2025-03-21T20:26:07.4652495Z     %transpose_462 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4652868Z     %select_536 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_462, 0, 0), kwargs = {})
2025-03-21T20:26:07.4653230Z     %select_537 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_536, 0, 4), kwargs = {})
2025-03-21T20:26:07.4653634Z     %transpose_463 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4654029Z     %select_538 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_463, 0, 0), kwargs = {})
2025-03-21T20:26:07.4654391Z     %select_539 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_538, 0, 5), kwargs = {})
2025-03-21T20:26:07.4654789Z     %transpose_464 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4655157Z     %select_540 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_464, 0, 0), kwargs = {})
2025-03-21T20:26:07.4655524Z     %select_541 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_540, 0, 6), kwargs = {})
2025-03-21T20:26:07.4655923Z     %transpose_465 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4656297Z     %select_542 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_465, 0, 0), kwargs = {})
2025-03-21T20:26:07.4656653Z     %select_543 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_542, 0, 7), kwargs = {})
2025-03-21T20:26:07.4657059Z     %transpose_466 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4657423Z     %select_544 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_466, 0, 0), kwargs = {})
2025-03-21T20:26:07.4657784Z     %select_545 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_544, 0, 8), kwargs = {})
2025-03-21T20:26:07.4658266Z     %transpose_467 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4658641Z     %select_546 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_467, 0, 0), kwargs = {})
2025-03-21T20:26:07.4658998Z     %select_547 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_546, 0, 9), kwargs = {})
2025-03-21T20:26:07.4659399Z     %transpose_468 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4659771Z     %select_548 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_468, 0, 0), kwargs = {})
2025-03-21T20:26:07.4660133Z     %select_549 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_548, 0, 10), kwargs = {})
2025-03-21T20:26:07.4660541Z     %transpose_469 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:07.4660908Z     %select_550 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_469, 0, 0), kwargs = {})
2025-03-21T20:26:07.4661344Z     %select_551 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_550, 0, 11), kwargs = {})
2025-03-21T20:26:07.4662107Z     %cat_22 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_529, %select_531, %select_533, %select_535, %select_537, %select_539, %select_541, %select_543, %select_545, %select_547, %select_549, %select_551],), kwargs = {})
2025-03-21T20:26:07.4662499Z     %view_141 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_22, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4662899Z     %transpose_470 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4663281Z     %select_552 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_470, 0, 0), kwargs = {})
2025-03-21T20:26:07.4663639Z     %select_553 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_552, 0, 0), kwargs = {})
2025-03-21T20:26:07.4664076Z     %transpose_471 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4664441Z     %select_554 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_471, 0, 0), kwargs = {})
2025-03-21T20:26:07.4664812Z     %select_555 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_554, 0, 1), kwargs = {})
2025-03-21T20:26:07.4665213Z     %transpose_472 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4665579Z     %select_556 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_472, 0, 0), kwargs = {})
2025-03-21T20:26:07.4665948Z     %select_557 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_556, 0, 2), kwargs = {})
2025-03-21T20:26:07.4666348Z     %transpose_473 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4666722Z     %select_558 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_473, 0, 0), kwargs = {})
2025-03-21T20:26:07.4667080Z     %select_559 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_558, 0, 3), kwargs = {})
2025-03-21T20:26:07.4667486Z     %transpose_474 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4667852Z     %select_560 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_474, 0, 0), kwargs = {})
2025-03-21T20:26:07.4668263Z     %select_561 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_560, 0, 4), kwargs = {})
2025-03-21T20:26:07.4668685Z     %transpose_475 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4669058Z     %select_562 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_475, 0, 0), kwargs = {})
2025-03-21T20:26:07.4669413Z     %select_563 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_562, 0, 5), kwargs = {})
2025-03-21T20:26:07.4669814Z     %transpose_476 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4670182Z     %select_564 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_476, 0, 0), kwargs = {})
2025-03-21T20:26:07.4670540Z     %select_565 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_564, 0, 6), kwargs = {})
2025-03-21T20:26:07.4670951Z     %transpose_477 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4671317Z     %select_566 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_477, 0, 0), kwargs = {})
2025-03-21T20:26:07.4671679Z     %select_567 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_566, 0, 7), kwargs = {})
2025-03-21T20:26:07.4672076Z     %transpose_478 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4672453Z     %select_568 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_478, 0, 0), kwargs = {})
2025-03-21T20:26:07.4672809Z     %select_569 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_568, 0, 8), kwargs = {})
2025-03-21T20:26:07.4673218Z     %transpose_479 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4673589Z     %select_570 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_479, 0, 0), kwargs = {})
2025-03-21T20:26:07.4674005Z     %select_571 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_570, 0, 9), kwargs = {})
2025-03-21T20:26:07.4674406Z     %transpose_480 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4674774Z     %select_572 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_480, 0, 0), kwargs = {})
2025-03-21T20:26:07.4675143Z     %select_573 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_572, 0, 10), kwargs = {})
2025-03-21T20:26:07.4675542Z     %transpose_481 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4676103Z     %select_574 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_481, 0, 0), kwargs = {})
2025-03-21T20:26:07.4676467Z     %select_575 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_574, 0, 11), kwargs = {})
2025-03-21T20:26:07.4677231Z     %cat_23 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%select_553, %select_555, %select_557, %select_559, %select_561, %select_563, %select_565, %select_567, %select_569, %select_571, %select_573, %select_575],), kwargs = {})
2025-03-21T20:26:07.4677610Z     %view_142 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_23, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:07.4678179Z     %index_13 : [num_users=1] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_getattr_l__self___layers___11___attention_mask, [%attn_options_input_pos]), kwargs = {})
2025-03-21T20:26:07.4678664Z     %transpose_482 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_141, -2, -1), kwargs = {})
2025-03-21T20:26:07.4679125Z     %matmul_22 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_457, %transpose_482), kwargs = {})
2025-03-21T20:26:07.4679472Z     %mul_118 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_22, 0.125), kwargs = {})
2025-03-21T20:26:07.4679824Z     %add_57 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_118, %index_13), kwargs = {})
2025-03-21T20:26:07.4680173Z     %softmax_11 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_57, -1), kwargs = {})
2025-03-21T20:26:07.4680568Z     %matmul_23 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_11, %view_142), kwargs = {})
2025-03-21T20:26:07.4680963Z     %transpose_483 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_23, 1, 2), kwargs = {})
2025-03-21T20:26:07.4681357Z     %view_143 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_483, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:07.4681753Z     %unsqueeze_80 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_143, -1), kwargs = {})
2025-03-21T20:26:07.4682155Z     %transpose_484 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_80, 1, 2), kwargs = {})
2025-03-21T20:26:07.4682736Z     %conv2d_80 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_484, %p_getattr_l__self___layers___11___attention_wo_conv_weight), kwargs = {})
2025-03-21T20:26:07.4683123Z     %transpose_485 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_80, 1, 2), kwargs = {})
2025-03-21T20:26:07.4683502Z     %squeeze_80 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_485, -1), kwargs = {})
2025-03-21T20:26:07.4683857Z     %add_58 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_54, %squeeze_80), kwargs = {})
2025-03-21T20:26:07.4684404Z     %rms_norm_23 : [num_users=2] = call_function[target=torch.ops.aten.rms_norm.default](args = (%add_58, [768], %p_getattr_l__self___layers___11___ffn_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4684852Z     %unsqueeze_81 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_23, -1), kwargs = {})
2025-03-21T20:26:07.4685261Z     %transpose_486 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_81, 1, 2), kwargs = {})
2025-03-21T20:26:07.4685836Z     %conv2d_81 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_486, %p_getattr_l__self___layers___11___feed_forward_w1_conv_weight), kwargs = {})
2025-03-21T20:26:07.4686232Z     %transpose_487 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_81, 1, 2), kwargs = {})
2025-03-21T20:26:07.4686610Z     %squeeze_81 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_487, -1), kwargs = {})
2025-03-21T20:26:07.4686950Z     %silu_11 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_81,), kwargs = {})
2025-03-21T20:26:07.4687364Z     %unsqueeze_82 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_23, -1), kwargs = {})
2025-03-21T20:26:07.4687764Z     %transpose_488 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_82, 1, 2), kwargs = {})
2025-03-21T20:26:07.4688348Z     %conv2d_82 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_488, %p_getattr_l__self___layers___11___feed_forward_w3_conv_weight), kwargs = {})
2025-03-21T20:26:07.4688735Z     %transpose_489 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_82, 1, 2), kwargs = {})
2025-03-21T20:26:07.4689185Z     %squeeze_82 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_489, -1), kwargs = {})
2025-03-21T20:26:07.4689543Z     %mul_119 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_11, %squeeze_82), kwargs = {})
2025-03-21T20:26:07.4689942Z     %unsqueeze_83 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_119, -1), kwargs = {})
2025-03-21T20:26:07.4690341Z     %transpose_490 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_83, 1, 2), kwargs = {})
2025-03-21T20:26:07.4690926Z     %conv2d_83 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_490, %p_getattr_l__self___layers___11___feed_forward_w2_conv_weight), kwargs = {})
2025-03-21T20:26:07.4691312Z     %transpose_491 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_83, 1, 2), kwargs = {})
2025-03-21T20:26:07.4691698Z     %squeeze_83 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_491, -1), kwargs = {})
2025-03-21T20:26:07.4692047Z     %add_59 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_58, %squeeze_83), kwargs = {})
2025-03-21T20:26:07.4692453Z     %slice_1 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%add_59, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:26:07.4692810Z     %select_576 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%slice_1, 1, -1), kwargs = {})
2025-03-21T20:26:07.4693224Z     %slice_2 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%select_576, 1, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:26:07.4693673Z     %rms_norm_24 : [num_users=1] = call_function[target=torch.ops.aten.rms_norm.default](args = (%slice_2, [768], %p_norm_weight, 1e-05), kwargs = {})
2025-03-21T20:26:07.4694063Z     %view_144 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%rms_norm_24, [1, 1, 768, 1]), kwargs = {})
2025-03-21T20:26:07.4694459Z     %transpose_492 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_144, 1, 2), kwargs = {})
2025-03-21T20:26:07.4694904Z     %conv2d_84 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_492, %p_output_conv_weight), kwargs = {})
2025-03-21T20:26:07.4695322Z     %transpose_493 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_84, 1, 2), kwargs = {})
2025-03-21T20:26:07.4695706Z     %view_145 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_493, [1, 32000]), kwargs = {})
2025-03-21T20:26:07.4696271Z     %copy : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___0___attention_kv_cache_past_k_caches, %index_put), kwargs = {})
2025-03-21T20:26:07.4696835Z     %copy_1 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___0___attention_kv_cache_past_v_caches, %index_put_1), kwargs = {})
2025-03-21T20:26:07.4697401Z     %copy_2 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___1___attention_kv_cache_past_k_caches, %index_put_2), kwargs = {})
2025-03-21T20:26:07.4697961Z     %copy_3 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___1___attention_kv_cache_past_v_caches, %index_put_3), kwargs = {})
2025-03-21T20:26:07.4698529Z     %copy_4 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___2___attention_kv_cache_past_k_caches, %index_put_4), kwargs = {})
2025-03-21T20:26:07.4699086Z     %copy_5 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___2___attention_kv_cache_past_v_caches, %index_put_5), kwargs = {})
2025-03-21T20:26:07.4699705Z     %copy_6 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___3___attention_kv_cache_past_k_caches, %index_put_6), kwargs = {})
2025-03-21T20:26:07.4700299Z     %copy_7 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___3___attention_kv_cache_past_v_caches, %index_put_7), kwargs = {})
2025-03-21T20:26:07.4700869Z     %copy_8 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___4___attention_kv_cache_past_k_caches, %index_put_8), kwargs = {})
2025-03-21T20:26:07.4701498Z     %copy_9 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___4___attention_kv_cache_past_v_caches, %index_put_9), kwargs = {})
2025-03-21T20:26:07.4702072Z     %copy_10 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___5___attention_kv_cache_past_k_caches, %index_put_10), kwargs = {})
2025-03-21T20:26:07.4702640Z     %copy_11 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___5___attention_kv_cache_past_v_caches, %index_put_11), kwargs = {})
2025-03-21T20:26:07.4703213Z     %copy_12 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___6___attention_kv_cache_past_k_caches, %index_put_12), kwargs = {})
2025-03-21T20:26:07.4703791Z     %copy_13 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___6___attention_kv_cache_past_v_caches, %index_put_13), kwargs = {})
2025-03-21T20:26:07.4704356Z     %copy_14 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___7___attention_kv_cache_past_k_caches, %index_put_14), kwargs = {})
2025-03-21T20:26:07.4704928Z     %copy_15 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___7___attention_kv_cache_past_v_caches, %index_put_15), kwargs = {})
2025-03-21T20:26:07.4705499Z     %copy_16 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___8___attention_kv_cache_past_k_caches, %index_put_16), kwargs = {})
2025-03-21T20:26:07.4706104Z     %copy_17 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___8___attention_kv_cache_past_v_caches, %index_put_17), kwargs = {})
2025-03-21T20:26:07.4706669Z     %copy_18 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___9___attention_kv_cache_past_k_caches, %index_put_18), kwargs = {})
2025-03-21T20:26:07.4707245Z     %copy_19 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___9___attention_kv_cache_past_v_caches, %index_put_19), kwargs = {})
2025-03-21T20:26:07.4707822Z     %copy_20 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___10___attention_kv_cache_past_k_caches, %index_put_20), kwargs = {})
2025-03-21T20:26:07.4708405Z     %copy_21 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___10___attention_kv_cache_past_v_caches, %index_put_21), kwargs = {})
2025-03-21T20:26:07.4708971Z     %copy_22 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___11___attention_kv_cache_past_k_caches, %index_put_22), kwargs = {})
2025-03-21T20:26:07.4709545Z     %copy_23 : [num_users=1] = call_function[target=torch.ops.aten.copy.default](args = (%b_getattr_l__self___layers___11___attention_kv_cache_past_v_caches, %index_put_23), kwargs = {})
2025-03-21T20:26:22.9324364Z     return (copy, copy_1, copy_2, copy_3, copy_4, copy_5, copy_6, copy_7, copy_8, copy_9, copy_10, copy_11, copy_12, copy_13, copy_14, copy_15, copy_16, copy_17, copy_18, copy_19, copy_20, copy_21, copy_22, copy_23, view_145)
2025-03-21T20:26:22.9327823Z /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.)
2025-03-21T20:26:22.9330016Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:22.9330640Z [INFO 2025-03-21 20:26:22,931 utils.py:70] Exported graph:
2025-03-21T20:26:22.9331238Z ExportedProgram:
2025-03-21T20:26:22.9331674Z     class GraphModule(torch.nn.Module):
2025-03-21T20:26:22.9375430Z         def forward(self, p_tok_embeddings_weight: "f32[32000, 768]", p_layers_0_attention_norm_weight: "f32[768]", p_layers_0_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_0_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_0_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_0_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_0_ffn_norm_weight: "f32[768]", p_layers_0_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_0_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_0_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_1_attention_norm_weight: "f32[768]", p_layers_1_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_1_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_1_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_1_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_1_ffn_norm_weight: "f32[768]", p_layers_1_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_1_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_1_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_2_attention_norm_weight: "f32[768]", p_layers_2_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_2_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_2_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_2_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_2_ffn_norm_weight: "f32[768]", p_layers_2_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_2_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_2_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_3_attention_norm_weight: "f32[768]", p_layers_3_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_3_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_3_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_3_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_3_ffn_norm_weight: "f32[768]", p_layers_3_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_3_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_3_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_4_attention_norm_weight: "f32[768]", p_layers_4_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_4_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_4_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_4_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_4_ffn_norm_weight: "f32[768]", p_layers_4_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_4_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_4_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_5_attention_norm_weight: "f32[768]", p_layers_5_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_5_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_5_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_5_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_5_ffn_norm_weight: "f32[768]", p_layers_5_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_5_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_5_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_6_attention_norm_weight: "f32[768]", p_layers_6_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_6_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_6_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_6_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_6_ffn_norm_weight: "f32[768]", p_layers_6_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_6_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_6_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_7_attention_norm_weight: "f32[768]", p_layers_7_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_7_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_7_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_7_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_7_ffn_norm_weight: "f32[768]", p_layers_7_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_7_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_7_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_8_attention_norm_weight: "f32[768]", p_layers_8_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_8_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_8_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_8_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_8_ffn_norm_weight: "f32[768]", p_layers_8_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_8_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_8_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_9_attention_norm_weight: "f32[768]", p_layers_9_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_9_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_9_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_9_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_9_ffn_norm_weight: "f32[768]", p_layers_9_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_9_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_9_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_10_attention_norm_weight: "f32[768]", p_layers_10_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_10_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_10_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_10_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_10_ffn_norm_weight: "f32[768]", p_layers_10_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_10_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_10_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_layers_11_attention_norm_weight: "f32[768]", p_layers_11_attention_wq_conv_weight: "f32[768, 768, 1, 1]", p_layers_11_attention_wk_conv_weight: "f32[768, 768, 1, 1]", p_layers_11_attention_wv_conv_weight: "f32[768, 768, 1, 1]", p_layers_11_attention_wo_conv_weight: "f32[768, 768, 1, 1]", p_layers_11_ffn_norm_weight: "f32[768]", p_layers_11_feed_forward_w1_conv_weight: "f32[2048, 768, 1, 1]", p_layers_11_feed_forward_w3_conv_weight: "f32[2048, 768, 1, 1]", p_layers_11_feed_forward_w2_conv_weight: "f32[768, 2048, 1, 1]", p_norm_weight: "f32[768]", p_output_conv_weight: "f32[32000, 768, 1, 1]", b_layers_0_attention_mask: "f32[128, 128]", b_layers_0_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_0_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_1_attention_mask: "f32[128, 128]", b_layers_1_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_1_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_2_attention_mask: "f32[128, 128]", b_layers_2_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_2_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_3_attention_mask: "f32[128, 128]", b_layers_3_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_3_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_4_attention_mask: "f32[128, 128]", b_layers_4_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_4_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_5_attention_mask: "f32[128, 128]", b_layers_5_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_5_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_6_attention_mask: "f32[128, 128]", b_layers_6_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_6_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_7_attention_mask: "f32[128, 128]", b_layers_7_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_7_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_8_attention_mask: "f32[128, 128]", b_layers_8_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_8_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_9_attention_mask: "f32[128, 128]", b_layers_9_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_9_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_10_attention_mask: "f32[128, 128]", b_layers_10_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_10_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", b_layers_11_attention_mask: "f32[128, 128]", b_layers_11_attention_rope_freqs_cos: "f32[128, 32]", b_layers_11_attention_rope_freqs_sin: "f32[128, 32]", b_layers_11_attention_kv_cache_past_k_caches: "f32[1, 128, 12, 64]", b_layers_11_attention_kv_cache_past_v_caches: "f32[1, 128, 12, 64]", _lifted_tensor_constant38: "f32[]", _lifted_tensor_constant39: "f32[]", _lifted_tensor_constant40: "f32[]", _lifted_tensor_constant41: "f32[]", _lifted_tensor_constant42: "f32[]", _lifted_tensor_constant43: "f32[]", _lifted_tensor_constant44: "f32[]", _lifted_tensor_constant45: "f32[]", _lifted_tensor_constant46: "f32[]", _lifted_tensor_constant47: "f32[]", _lifted_tensor_constant48: "f32[]", _lifted_tensor_constant49: "f32[]", tokens: "i64[1, 1]", attn_options_input_pos: "i64[1]"):
2025-03-21T20:26:22.9420721Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:161 in forward, code: h = self.tok_embeddings(tokens)
2025-03-21T20:26:22.9423098Z             aten_embedding_default: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_embedding_default(p_tok_embeddings_weight, tokens);  p_tok_embeddings_weight = tokens = None
2025-03-21T20:26:22.9424633Z             
2025-03-21T20:26:22.9425675Z              # File: /pytorch/executorch/examples/models/llama/rope.py:300 in get_freqs, code: freqs_cos = self.freqs_cos[input_pos]
2025-03-21T20:26:22.9427974Z             aten_index_tensor: "f32[1, 32]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_11_attention_rope_freqs_cos, [attn_options_input_pos]);  b_layers_11_attention_rope_freqs_cos = None
2025-03-21T20:26:22.9429682Z             
2025-03-21T20:26:22.9430520Z              # File: /pytorch/executorch/examples/models/llama/rope.py:301 in get_freqs, code: freqs_sin = self.freqs_sin[input_pos]
2025-03-21T20:26:22.9432432Z             aten_index_tensor_1: "f32[1, 32]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_11_attention_rope_freqs_sin, [attn_options_input_pos]);  b_layers_11_attention_rope_freqs_sin = None
2025-03-21T20:26:22.9433860Z             
2025-03-21T20:26:22.9434978Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:22.9436723Z             aten_pow_tensor_scalar: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_embedding_default, 2)
2025-03-21T20:26:22.9437796Z             aten_mean_dim: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar, [2], True);  aten_pow_tensor_scalar = None
2025-03-21T20:26:22.9439013Z             aten_add_scalar: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim, 9.999999747378752e-06);  aten_mean_dim = None
2025-03-21T20:26:22.9439969Z             aten_rsqrt_default: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar);  aten_add_scalar = None
2025-03-21T20:26:22.9441004Z             aten_mul_tensor: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_embedding_default, aten_rsqrt_default);  aten_rsqrt_default = None
2025-03-21T20:26:22.9442426Z             aten_mul_tensor_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor, p_layers_0_attention_norm_weight);  aten_mul_tensor = p_layers_0_attention_norm_weight = None
2025-03-21T20:26:22.9443321Z             
2025-03-21T20:26:22.9444012Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9445088Z             aten_unsqueeze_copy_default: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_1, -1)
2025-03-21T20:26:22.9445887Z             
2025-03-21T20:26:22.9446659Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9447798Z             aten_permute_copy_default: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default, [0, 2, 1, 3]);  aten_unsqueeze_copy_default = None
2025-03-21T20:26:22.9448612Z             
2025-03-21T20:26:22.9449223Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9450929Z             aten_convolution_default: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default, p_layers_0_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default = p_layers_0_attention_wq_conv_weight = None
2025-03-21T20:26:22.9452039Z             
2025-03-21T20:26:22.9452604Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9453744Z             aten_permute_copy_default_1: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default, [0, 2, 1, 3]);  aten_convolution_default = None
2025-03-21T20:26:22.9454533Z             
2025-03-21T20:26:22.9455225Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9456444Z             aten_squeeze_copy_dims: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_1, [-1]);  aten_permute_copy_default_1 = None
2025-03-21T20:26:22.9457259Z             
2025-03-21T20:26:22.9458216Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9459382Z             aten_unsqueeze_copy_default_1: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_1, -1)
2025-03-21T20:26:22.9460018Z             
2025-03-21T20:26:22.9460552Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9462176Z             aten_permute_copy_default_2: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_1, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_1 = None
2025-03-21T20:26:22.9463008Z             
2025-03-21T20:26:22.9463524Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9464929Z             aten_convolution_default_1: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_2, p_layers_0_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_2 = p_layers_0_attention_wk_conv_weight = None
2025-03-21T20:26:22.9466043Z             
2025-03-21T20:26:22.9466607Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9467743Z             aten_permute_copy_default_3: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_1, [0, 2, 1, 3]);  aten_convolution_default_1 = None
2025-03-21T20:26:22.9468666Z             
2025-03-21T20:26:22.9469349Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9470566Z             aten_squeeze_copy_dims_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_3, [-1]);  aten_permute_copy_default_3 = None
2025-03-21T20:26:22.9471324Z             
2025-03-21T20:26:22.9471987Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9473148Z             aten_unsqueeze_copy_default_2: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_1, -1);  aten_mul_tensor_1 = None
2025-03-21T20:26:22.9473884Z             
2025-03-21T20:26:22.9474423Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9475714Z             aten_permute_copy_default_4: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_2, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_2 = None
2025-03-21T20:26:22.9477007Z             
2025-03-21T20:26:22.9477519Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9478928Z             aten_convolution_default_2: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_4, p_layers_0_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_4 = p_layers_0_attention_wv_conv_weight = None
2025-03-21T20:26:22.9480047Z             
2025-03-21T20:26:22.9480619Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9481757Z             aten_permute_copy_default_5: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_2, [0, 2, 1, 3]);  aten_convolution_default_2 = None
2025-03-21T20:26:22.9482668Z             
2025-03-21T20:26:22.9483354Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9484564Z             aten_squeeze_copy_dims_2: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_5, [-1]);  aten_permute_copy_default_5 = None
2025-03-21T20:26:22.9485326Z             
2025-03-21T20:26:22.9485988Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:22.9487168Z             aten_view_copy_default: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims, [1, 1, 12, 64]);  aten_squeeze_copy_dims = None
2025-03-21T20:26:22.9487908Z             
2025-03-21T20:26:22.9488579Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:22.9489775Z             aten_view_copy_default_1: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_1, [1, 1, 12, 64]);  aten_squeeze_copy_dims_1 = None
2025-03-21T20:26:22.9490538Z             
2025-03-21T20:26:22.9491209Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:22.9492398Z             aten_view_copy_default_2: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_2, [1, 1, 12, 64]);  aten_squeeze_copy_dims_2 = None
2025-03-21T20:26:22.9493279Z             
2025-03-21T20:26:22.9493942Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:22.9495150Z             aten_view_copy_default_3: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default, [1, 1, 12, -1, 2]);  aten_view_copy_default = None
2025-03-21T20:26:22.9496239Z             aten_slice_copy_tensor: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_3, 4, 0, 1)
2025-03-21T20:26:22.9497311Z             aten_slice_copy_tensor_1: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_3, 4, 1, 2);  aten_view_copy_default_3 = None
2025-03-21T20:26:22.9498477Z             aten_squeeze_copy_dims_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor, [4]);  aten_slice_copy_tensor = None
2025-03-21T20:26:22.9499631Z             aten_squeeze_copy_dims_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_1, [4]);  aten_slice_copy_tensor_1 = None
2025-03-21T20:26:22.9500362Z             
2025-03-21T20:26:22.9501024Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:22.9502302Z             aten_view_copy_default_4: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_1, [1, 1, 12, -1, 2]);  aten_view_copy_default_1 = None
2025-03-21T20:26:22.9503382Z             aten_slice_copy_tensor_2: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_4, 4, 0, 1)
2025-03-21T20:26:22.9504462Z             aten_slice_copy_tensor_3: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_4, 4, 1, 2);  aten_view_copy_default_4 = None
2025-03-21T20:26:22.9505634Z             aten_squeeze_copy_dims_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_2, [4]);  aten_slice_copy_tensor_2 = None
2025-03-21T20:26:22.9506862Z             aten_squeeze_copy_dims_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_3, [4]);  aten_slice_copy_tensor_3 = None
2025-03-21T20:26:22.9507595Z             
2025-03-21T20:26:22.9508182Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:22.9509155Z             aten_view_copy_default_5: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:22.9509770Z             
2025-03-21T20:26:22.9510343Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:22.9511308Z             aten_view_copy_default_6: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:22.9511929Z             
2025-03-21T20:26:22.9512542Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:22.9513566Z             aten_mul_tensor_2: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_3, aten_view_copy_default_5)
2025-03-21T20:26:22.9514533Z             aten_mul_tensor_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_4, aten_view_copy_default_6)
2025-03-21T20:26:22.9515649Z             aten_sub_tensor: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_2, aten_mul_tensor_3);  aten_mul_tensor_2 = aten_mul_tensor_3 = None
2025-03-21T20:26:22.9516396Z             
2025-03-21T20:26:22.9517011Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:22.9518149Z             aten_mul_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_3, aten_view_copy_default_6);  aten_squeeze_copy_dims_3 = None
2025-03-21T20:26:22.9519353Z             aten_mul_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_4, aten_view_copy_default_5);  aten_squeeze_copy_dims_4 = None
2025-03-21T20:26:22.9520537Z             aten_add_tensor: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_4, aten_mul_tensor_5);  aten_mul_tensor_4 = aten_mul_tensor_5 = None
2025-03-21T20:26:22.9521274Z             
2025-03-21T20:26:22.9521892Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:22.9522916Z             aten_mul_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_5, aten_view_copy_default_5)
2025-03-21T20:26:22.9523875Z             aten_mul_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_6, aten_view_copy_default_6)
2025-03-21T20:26:22.9524938Z             aten_sub_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_6, aten_mul_tensor_7);  aten_mul_tensor_6 = aten_mul_tensor_7 = None
2025-03-21T20:26:22.9525672Z             
2025-03-21T20:26:22.9526287Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:22.9527516Z             aten_mul_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_5, aten_view_copy_default_6);  aten_squeeze_copy_dims_5 = aten_view_copy_default_6 = None
2025-03-21T20:26:22.9528888Z             aten_mul_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_6, aten_view_copy_default_5);  aten_squeeze_copy_dims_6 = aten_view_copy_default_5 = None
2025-03-21T20:26:22.9530182Z             aten_add_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_8, aten_mul_tensor_9);  aten_mul_tensor_8 = aten_mul_tensor_9 = None
2025-03-21T20:26:22.9530920Z             
2025-03-21T20:26:22.9531577Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:22.9532731Z             aten_unsqueeze_copy_default_3: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor, 4);  aten_sub_tensor = None
2025-03-21T20:26:22.9533858Z             aten_unsqueeze_copy_default_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor, 4);  aten_add_tensor = None
2025-03-21T20:26:22.9535225Z             aten_cat_default: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_3, aten_unsqueeze_copy_default_4], -1);  aten_unsqueeze_copy_default_3 = aten_unsqueeze_copy_default_4 = None
2025-03-21T20:26:22.9536585Z             aten_view_copy_default_7: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default, [1, 1, 12, 64]);  aten_cat_default = None
2025-03-21T20:26:22.9537291Z             
2025-03-21T20:26:22.9537958Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:22.9539191Z             aten_unsqueeze_copy_default_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_1, 4);  aten_sub_tensor_1 = None
2025-03-21T20:26:22.9540340Z             aten_unsqueeze_copy_default_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_1, 4);  aten_add_tensor_1 = None
2025-03-21T20:26:22.9541781Z             aten_cat_default_1: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_5, aten_unsqueeze_copy_default_6], -1);  aten_unsqueeze_copy_default_5 = aten_unsqueeze_copy_default_6 = None
2025-03-21T20:26:22.9543153Z             aten_view_copy_default_8: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_1, [1, 1, 12, 64]);  aten_cat_default_1 = None
2025-03-21T20:26:22.9543875Z             
2025-03-21T20:26:22.9544556Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:22.9545785Z             aten_permute_copy_default_6: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_7, [0, 2, 1, 3]);  aten_view_copy_default_7 = None
2025-03-21T20:26:22.9546566Z             
2025-03-21T20:26:22.9547386Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:22.9548949Z             aten_index_put_default: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_0_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_8);  aten_view_copy_default_8 = None
2025-03-21T20:26:22.9549934Z             
2025-03-21T20:26:22.9550735Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:22.9552294Z             aten_index_put_default_1: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_0_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_2);  aten_view_copy_default_2 = None
2025-03-21T20:26:22.9553304Z             
2025-03-21T20:26:22.9554085Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:22.9555313Z             aten_permute_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9556421Z             aten_select_copy_int: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_7, 0, 0);  aten_permute_copy_default_7 = None
2025-03-21T20:26:22.9557554Z             aten_select_copy_int_1: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int, 0, 0);  aten_select_copy_int = None
2025-03-21T20:26:22.9558623Z             aten_permute_copy_default_8: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9559728Z             aten_select_copy_int_2: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_8, 0, 0);  aten_permute_copy_default_8 = None
2025-03-21T20:26:22.9560857Z             aten_select_copy_int_3: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_2, 0, 1);  aten_select_copy_int_2 = None
2025-03-21T20:26:22.9561928Z             aten_permute_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9563114Z             aten_select_copy_int_4: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_9, 0, 0);  aten_permute_copy_default_9 = None
2025-03-21T20:26:22.9564257Z             aten_select_copy_int_5: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_4, 0, 2);  aten_select_copy_int_4 = None
2025-03-21T20:26:22.9565335Z             aten_permute_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9566454Z             aten_select_copy_int_6: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_10, 0, 0);  aten_permute_copy_default_10 = None
2025-03-21T20:26:22.9567609Z             aten_select_copy_int_7: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_6, 0, 3);  aten_select_copy_int_6 = None
2025-03-21T20:26:22.9568693Z             aten_permute_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9569815Z             aten_select_copy_int_8: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_11, 0, 0);  aten_permute_copy_default_11 = None
2025-03-21T20:26:22.9570966Z             aten_select_copy_int_9: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_8, 0, 4);  aten_select_copy_int_8 = None
2025-03-21T20:26:22.9572047Z             aten_permute_copy_default_12: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9573168Z             aten_select_copy_int_10: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_12, 0, 0);  aten_permute_copy_default_12 = None
2025-03-21T20:26:22.9574333Z             aten_select_copy_int_11: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_10, 0, 5);  aten_select_copy_int_10 = None
2025-03-21T20:26:22.9575422Z             aten_permute_copy_default_13: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9576750Z             aten_select_copy_int_12: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_13, 0, 0);  aten_permute_copy_default_13 = None
2025-03-21T20:26:22.9577913Z             aten_select_copy_int_13: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_12, 0, 6);  aten_select_copy_int_12 = None
2025-03-21T20:26:22.9579002Z             aten_permute_copy_default_14: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9580132Z             aten_select_copy_int_14: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_14, 0, 0);  aten_permute_copy_default_14 = None
2025-03-21T20:26:22.9581368Z             aten_select_copy_int_15: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_14, 0, 7);  aten_select_copy_int_14 = None
2025-03-21T20:26:22.9582457Z             aten_permute_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9583582Z             aten_select_copy_int_16: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_15, 0, 0);  aten_permute_copy_default_15 = None
2025-03-21T20:26:22.9584742Z             aten_select_copy_int_17: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_16, 0, 8);  aten_select_copy_int_16 = None
2025-03-21T20:26:22.9585976Z             aten_permute_copy_default_16: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9587099Z             aten_select_copy_int_18: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_16, 0, 0);  aten_permute_copy_default_16 = None
2025-03-21T20:26:22.9588246Z             aten_select_copy_int_19: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_18, 0, 9);  aten_select_copy_int_18 = None
2025-03-21T20:26:22.9589329Z             aten_permute_copy_default_17: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9590450Z             aten_select_copy_int_20: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_17, 0, 0);  aten_permute_copy_default_17 = None
2025-03-21T20:26:22.9591612Z             aten_select_copy_int_21: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_20, 0, 10);  aten_select_copy_int_20 = None
2025-03-21T20:26:22.9592699Z             aten_permute_copy_default_18: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default, [0, 2, 1, 3])
2025-03-21T20:26:22.9593818Z             aten_select_copy_int_22: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_18, 0, 0);  aten_permute_copy_default_18 = None
2025-03-21T20:26:22.9594975Z             aten_select_copy_int_23: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_22, 0, 11);  aten_select_copy_int_22 = None
2025-03-21T20:26:22.9598434Z             aten_cat_default_2: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_1, aten_select_copy_int_3, aten_select_copy_int_5, aten_select_copy_int_7, aten_select_copy_int_9, aten_select_copy_int_11, aten_select_copy_int_13, aten_select_copy_int_15, aten_select_copy_int_17, aten_select_copy_int_19, aten_select_copy_int_21, aten_select_copy_int_23]);  aten_select_copy_int_1 = aten_select_copy_int_3 = aten_select_copy_int_5 = aten_select_copy_int_7 = aten_select_copy_int_9 = aten_select_copy_int_11 = aten_select_copy_int_13 = aten_select_copy_int_15 = aten_select_copy_int_17 = aten_select_copy_int_19 = aten_select_copy_int_21 = aten_select_copy_int_23 = None
2025-03-21T20:26:22.9601302Z             aten_view_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_2, [1, 12, 128, 64]);  aten_cat_default_2 = None
2025-03-21T20:26:22.9602031Z             
2025-03-21T20:26:22.9602825Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:22.9604067Z             aten_permute_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9605203Z             aten_select_copy_int_24: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_19, 0, 0);  aten_permute_copy_default_19 = None
2025-03-21T20:26:22.9606362Z             aten_select_copy_int_25: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_24, 0, 0);  aten_select_copy_int_24 = None
2025-03-21T20:26:22.9607456Z             aten_permute_copy_default_20: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9608577Z             aten_select_copy_int_26: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_20, 0, 0);  aten_permute_copy_default_20 = None
2025-03-21T20:26:22.9609792Z             aten_select_copy_int_27: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_26, 0, 1);  aten_select_copy_int_26 = None
2025-03-21T20:26:22.9610888Z             aten_permute_copy_default_21: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9612023Z             aten_select_copy_int_28: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_21, 0, 0);  aten_permute_copy_default_21 = None
2025-03-21T20:26:22.9613186Z             aten_select_copy_int_29: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_28, 0, 2);  aten_select_copy_int_28 = None
2025-03-21T20:26:22.9614272Z             aten_permute_copy_default_22: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9615402Z             aten_select_copy_int_30: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_22, 0, 0);  aten_permute_copy_default_22 = None
2025-03-21T20:26:22.9616555Z             aten_select_copy_int_31: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_30, 0, 3);  aten_select_copy_int_30 = None
2025-03-21T20:26:22.9617644Z             aten_permute_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9618770Z             aten_select_copy_int_32: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_23, 0, 0);  aten_permute_copy_default_23 = None
2025-03-21T20:26:22.9619925Z             aten_select_copy_int_33: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_32, 0, 4);  aten_select_copy_int_32 = None
2025-03-21T20:26:22.9621007Z             aten_permute_copy_default_24: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9622210Z             aten_select_copy_int_34: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_24, 0, 0);  aten_permute_copy_default_24 = None
2025-03-21T20:26:22.9623402Z             aten_select_copy_int_35: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_34, 0, 5);  aten_select_copy_int_34 = None
2025-03-21T20:26:22.9624494Z             aten_permute_copy_default_25: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9625632Z             aten_select_copy_int_36: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_25, 0, 0);  aten_permute_copy_default_25 = None
2025-03-21T20:26:22.9626797Z             aten_select_copy_int_37: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_36, 0, 6);  aten_select_copy_int_36 = None
2025-03-21T20:26:22.9627884Z             aten_permute_copy_default_26: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9629010Z             aten_select_copy_int_38: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_26, 0, 0);  aten_permute_copy_default_26 = None
2025-03-21T20:26:22.9630166Z             aten_select_copy_int_39: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_38, 0, 7);  aten_select_copy_int_38 = None
2025-03-21T20:26:22.9631251Z             aten_permute_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9632465Z             aten_select_copy_int_40: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_27, 0, 0);  aten_permute_copy_default_27 = None
2025-03-21T20:26:22.9633629Z             aten_select_copy_int_41: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_40, 0, 8);  aten_select_copy_int_40 = None
2025-03-21T20:26:22.9634720Z             aten_permute_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9635846Z             aten_select_copy_int_42: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_28, 0, 0);  aten_permute_copy_default_28 = None
2025-03-21T20:26:22.9637001Z             aten_select_copy_int_43: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_42, 0, 9);  aten_select_copy_int_42 = None
2025-03-21T20:26:22.9638097Z             aten_permute_copy_default_29: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9639220Z             aten_select_copy_int_44: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_29, 0, 0);  aten_permute_copy_default_29 = None
2025-03-21T20:26:22.9640381Z             aten_select_copy_int_45: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_44, 0, 10);  aten_select_copy_int_44 = None
2025-03-21T20:26:22.9641467Z             aten_permute_copy_default_30: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_1, [0, 2, 1, 3])
2025-03-21T20:26:22.9642593Z             aten_select_copy_int_46: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_30, 0, 0);  aten_permute_copy_default_30 = None
2025-03-21T20:26:22.9643741Z             aten_select_copy_int_47: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_46, 0, 11);  aten_select_copy_int_46 = None
2025-03-21T20:26:22.9646548Z             aten_cat_default_3: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_25, aten_select_copy_int_27, aten_select_copy_int_29, aten_select_copy_int_31, aten_select_copy_int_33, aten_select_copy_int_35, aten_select_copy_int_37, aten_select_copy_int_39, aten_select_copy_int_41, aten_select_copy_int_43, aten_select_copy_int_45, aten_select_copy_int_47]);  aten_select_copy_int_25 = aten_select_copy_int_27 = aten_select_copy_int_29 = aten_select_copy_int_31 = aten_select_copy_int_33 = aten_select_copy_int_35 = aten_select_copy_int_37 = aten_select_copy_int_39 = aten_select_copy_int_41 = aten_select_copy_int_43 = aten_select_copy_int_45 = aten_select_copy_int_47 = None
2025-03-21T20:26:22.9649419Z             aten_view_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_3, [1, 12, 128, 64]);  aten_cat_default_3 = None
2025-03-21T20:26:22.9650153Z             
2025-03-21T20:26:22.9650784Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:22.9651972Z             aten_index_tensor_2: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_0_attention_mask, [attn_options_input_pos]);  b_layers_0_attention_mask = None
2025-03-21T20:26:22.9652755Z             
2025-03-21T20:26:22.9653479Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:22.9654757Z             aten_permute_copy_default_31: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_9, [0, 1, 3, 2]);  aten_view_copy_default_9 = None
2025-03-21T20:26:22.9656111Z             aten_expand_copy_default: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_6, [1, 12, 1, 64]);  aten_permute_copy_default_6 = None
2025-03-21T20:26:22.9657362Z             aten_view_copy_default_11: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default, [12, 1, 64]);  aten_expand_copy_default = None
2025-03-21T20:26:22.9658623Z             aten_expand_copy_default_1: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_31, [1, 12, 64, 128]);  aten_permute_copy_default_31 = None
2025-03-21T20:26:22.9659904Z             aten_view_copy_default_12: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_1, [12, 64, 128]);  aten_expand_copy_default_1 = None
2025-03-21T20:26:22.9661311Z             aten_bmm_default: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_11, aten_view_copy_default_12);  aten_view_copy_default_11 = aten_view_copy_default_12 = None
2025-03-21T20:26:22.9662592Z             aten_view_copy_default_13: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default, [1, 12, 1, 128]);  aten_bmm_default = None
2025-03-21T20:26:22.9663871Z             aten_mul_tensor_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_13, _lifted_tensor_constant38);  aten_view_copy_default_13 = _lifted_tensor_constant38 = None
2025-03-21T20:26:22.9664731Z             
2025-03-21T20:26:22.9665362Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:22.9685216Z             aten_add_tensor_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_10, aten_index_tensor_2);  aten_mul_tensor_10 = aten_index_tensor_2 = None
2025-03-21T20:26:22.9686022Z             
2025-03-21T20:26:22.9686763Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:22.9688087Z             aten__softmax_default: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_2, -1, False);  aten_add_tensor_2 = None
2025-03-21T20:26:22.9688806Z             
2025-03-21T20:26:22.9689428Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:22.9690591Z             aten_expand_copy_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default, [1, 12, 1, 128]);  aten__softmax_default = None
2025-03-21T20:26:22.9691862Z             aten_view_copy_default_14: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_2, [12, 1, 128]);  aten_expand_copy_default_2 = None
2025-03-21T20:26:22.9693151Z             aten_expand_copy_default_3: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_10, [1, 12, 128, 64]);  aten_view_copy_default_10 = None
2025-03-21T20:26:22.9694425Z             aten_view_copy_default_15: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_3, [12, 128, 64]);  aten_expand_copy_default_3 = None
2025-03-21T20:26:22.9695779Z             aten_bmm_default_1: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_14, aten_view_copy_default_15);  aten_view_copy_default_14 = aten_view_copy_default_15 = None
2025-03-21T20:26:22.9697074Z             aten_view_copy_default_16: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_1, [1, 12, 1, 64]);  aten_bmm_default_1 = None
2025-03-21T20:26:22.9697846Z             
2025-03-21T20:26:22.9698711Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:22.9700050Z             aten_permute_copy_default_32: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_16, [0, 2, 1, 3]);  aten_view_copy_default_16 = None
2025-03-21T20:26:22.9701396Z             aten_view_copy_default_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_32, [1, 1, 768]);  aten_permute_copy_default_32 = None
2025-03-21T20:26:22.9702186Z             
2025-03-21T20:26:22.9702864Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9704084Z             aten_unsqueeze_copy_default_7: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_17, -1);  aten_view_copy_default_17 = None
2025-03-21T20:26:22.9704883Z             
2025-03-21T20:26:22.9705440Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9706596Z             aten_permute_copy_default_33: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_7, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_7 = None
2025-03-21T20:26:22.9707417Z             
2025-03-21T20:26:22.9707928Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9709338Z             aten_convolution_default_3: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_33, p_layers_0_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_33 = p_layers_0_attention_wo_conv_weight = None
2025-03-21T20:26:22.9710457Z             
2025-03-21T20:26:22.9711027Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9712213Z             aten_permute_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_3, [0, 2, 1, 3]);  aten_convolution_default_3 = None
2025-03-21T20:26:22.9713026Z             
2025-03-21T20:26:22.9713713Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9714936Z             aten_squeeze_copy_dims_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_34, [-1]);  aten_permute_copy_default_34 = None
2025-03-21T20:26:22.9715707Z             
2025-03-21T20:26:22.9716222Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:22.9717363Z             aten_add_tensor_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_embedding_default, aten_squeeze_copy_dims_7);  aten_embedding_default = aten_squeeze_copy_dims_7 = None
2025-03-21T20:26:22.9718215Z             
2025-03-21T20:26:22.9718877Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:22.9719889Z             aten_pow_tensor_scalar_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_3, 2)
2025-03-21T20:26:22.9720859Z             aten_mean_dim_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_1, [2], True);  aten_pow_tensor_scalar_1 = None
2025-03-21T20:26:22.9721948Z             aten_add_scalar_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_1, 9.999999747378752e-06);  aten_mean_dim_1 = None
2025-03-21T20:26:22.9722975Z             aten_rsqrt_default_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_1);  aten_add_scalar_1 = None
2025-03-21T20:26:22.9724003Z             aten_mul_tensor_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_3, aten_rsqrt_default_1);  aten_rsqrt_default_1 = None
2025-03-21T20:26:22.9725219Z             aten_mul_tensor_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_11, p_layers_0_ffn_norm_weight);  aten_mul_tensor_11 = p_layers_0_ffn_norm_weight = None
2025-03-21T20:26:22.9726036Z             
2025-03-21T20:26:22.9726712Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9727793Z             aten_unsqueeze_copy_default_8: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_12, -1)
2025-03-21T20:26:22.9728441Z             
2025-03-21T20:26:22.9728992Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9730137Z             aten_permute_copy_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_8, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_8 = None
2025-03-21T20:26:22.9730966Z             
2025-03-21T20:26:22.9731477Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9732915Z             aten_convolution_default_4: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_35, p_layers_0_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_35 = p_layers_0_feed_forward_w1_conv_weight = None
2025-03-21T20:26:22.9734053Z             
2025-03-21T20:26:22.9734624Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9735814Z             aten_permute_copy_default_36: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_4, [0, 2, 1, 3]);  aten_convolution_default_4 = None
2025-03-21T20:26:22.9736638Z             
2025-03-21T20:26:22.9737310Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9738537Z             aten_squeeze_copy_dims_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_36, [-1]);  aten_permute_copy_default_36 = None
2025-03-21T20:26:22.9739316Z             
2025-03-21T20:26:22.9739987Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:22.9741017Z             aten_sigmoid_default: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_8)
2025-03-21T20:26:22.9742229Z             aten_mul_tensor_13: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_8, aten_sigmoid_default);  aten_squeeze_copy_dims_8 = aten_sigmoid_default = None
2025-03-21T20:26:22.9743067Z             
2025-03-21T20:26:22.9743730Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9744908Z             aten_unsqueeze_copy_default_9: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_12, -1);  aten_mul_tensor_12 = None
2025-03-21T20:26:22.9745686Z             
2025-03-21T20:26:22.9746285Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9747434Z             aten_permute_copy_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_9, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_9 = None
2025-03-21T20:26:22.9748265Z             
2025-03-21T20:26:22.9748773Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9750192Z             aten_convolution_default_5: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_37, p_layers_0_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_37 = p_layers_0_feed_forward_w3_conv_weight = None
2025-03-21T20:26:22.9751330Z             
2025-03-21T20:26:22.9751904Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9753064Z             aten_permute_copy_default_38: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_5, [0, 2, 1, 3]);  aten_convolution_default_5 = None
2025-03-21T20:26:22.9753886Z             
2025-03-21T20:26:22.9754573Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9755801Z             aten_squeeze_copy_dims_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_38, [-1]);  aten_permute_copy_default_38 = None
2025-03-21T20:26:22.9756576Z             
2025-03-21T20:26:22.9757229Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:22.9758468Z             aten_mul_tensor_14: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_13, aten_squeeze_copy_dims_9);  aten_mul_tensor_13 = aten_squeeze_copy_dims_9 = None
2025-03-21T20:26:22.9759307Z             
2025-03-21T20:26:22.9759978Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9761161Z             aten_unsqueeze_copy_default_10: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_14, -1);  aten_mul_tensor_14 = None
2025-03-21T20:26:22.9761912Z             
2025-03-21T20:26:22.9762451Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9763623Z             aten_permute_copy_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_10, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_10 = None
2025-03-21T20:26:22.9764465Z             
2025-03-21T20:26:22.9764986Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9767285Z             aten_convolution_default_6: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_39, p_layers_0_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_39 = p_layers_0_feed_forward_w2_conv_weight = None
2025-03-21T20:26:22.9769048Z             
2025-03-21T20:26:22.9770071Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9772194Z             aten_permute_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_6, [0, 2, 1, 3]);  aten_convolution_default_6 = None
2025-03-21T20:26:22.9773749Z             
2025-03-21T20:26:22.9775062Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9777604Z             aten_squeeze_copy_dims_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_40, [-1]);  aten_permute_copy_default_40 = None
2025-03-21T20:26:22.9779084Z             
2025-03-21T20:26:22.9780321Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:22.9782721Z             aten_add_tensor_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_3, aten_squeeze_copy_dims_10);  aten_add_tensor_3 = aten_squeeze_copy_dims_10 = None
2025-03-21T20:26:22.9784201Z             
2025-03-21T20:26:22.9785531Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:22.9787360Z             aten_pow_tensor_scalar_2: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_4, 2)
2025-03-21T20:26:22.9788939Z             aten_mean_dim_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_2, [2], True);  aten_pow_tensor_scalar_2 = None
2025-03-21T20:26:22.9790704Z             aten_add_scalar_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_2, 9.999999747378752e-06);  aten_mean_dim_2 = None
2025-03-21T20:26:22.9792276Z             aten_rsqrt_default_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_2);  aten_add_scalar_2 = None
2025-03-21T20:26:22.9794249Z             aten_mul_tensor_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_4, aten_rsqrt_default_2);  aten_rsqrt_default_2 = None
2025-03-21T20:26:22.9796608Z             aten_mul_tensor_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_15, p_layers_1_attention_norm_weight);  aten_mul_tensor_15 = p_layers_1_attention_norm_weight = None
2025-03-21T20:26:22.9798377Z             
2025-03-21T20:26:22.9799611Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9801592Z             aten_unsqueeze_copy_default_11: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_16, -1)
2025-03-21T20:26:22.9802791Z             
2025-03-21T20:26:22.9803803Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9805993Z             aten_permute_copy_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_11, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_11 = None
2025-03-21T20:26:22.9807561Z             
2025-03-21T20:26:22.9808488Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9811168Z             aten_convolution_default_7: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_41, p_layers_1_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_41 = p_layers_1_attention_wq_conv_weight = None
2025-03-21T20:26:22.9813318Z             
2025-03-21T20:26:22.9814353Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9816696Z             aten_permute_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_7, [0, 2, 1, 3]);  aten_convolution_default_7 = None
2025-03-21T20:26:22.9818278Z             
2025-03-21T20:26:22.9819551Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9821990Z             aten_squeeze_copy_dims_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_42, [-1]);  aten_permute_copy_default_42 = None
2025-03-21T20:26:22.9823444Z             
2025-03-21T20:26:22.9824661Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9826713Z             aten_unsqueeze_copy_default_12: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_16, -1)
2025-03-21T20:26:22.9827913Z             
2025-03-21T20:26:22.9828939Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9831102Z             aten_permute_copy_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_12, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_12 = None
2025-03-21T20:26:22.9832669Z             
2025-03-21T20:26:22.9833598Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9836277Z             aten_convolution_default_8: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_43, p_layers_1_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_43 = p_layers_1_attention_wk_conv_weight = None
2025-03-21T20:26:22.9838422Z             
2025-03-21T20:26:22.9839481Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9841703Z             aten_permute_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_8, [0, 2, 1, 3]);  aten_convolution_default_8 = None
2025-03-21T20:26:22.9843323Z             
2025-03-21T20:26:22.9844603Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9846960Z             aten_squeeze_copy_dims_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_44, [-1]);  aten_permute_copy_default_44 = None
2025-03-21T20:26:22.9848413Z             
2025-03-21T20:26:22.9849655Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:22.9851912Z             aten_unsqueeze_copy_default_13: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_16, -1);  aten_mul_tensor_16 = None
2025-03-21T20:26:22.9853323Z             
2025-03-21T20:26:22.9854341Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:22.9856440Z             aten_permute_copy_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_13, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_13 = None
2025-03-21T20:26:22.9857852Z             
2025-03-21T20:26:22.9858655Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:22.9861116Z             aten_convolution_default_9: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_45, p_layers_1_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_45 = p_layers_1_attention_wv_conv_weight = None
2025-03-21T20:26:22.9863192Z             
2025-03-21T20:26:22.9864227Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:22.9866203Z             aten_permute_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_9, [0, 2, 1, 3]);  aten_convolution_default_9 = None
2025-03-21T20:26:22.9867561Z             
2025-03-21T20:26:22.9868703Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:22.9870763Z             aten_squeeze_copy_dims_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_46, [-1]);  aten_permute_copy_default_46 = None
2025-03-21T20:26:22.9872090Z             
2025-03-21T20:26:22.9873231Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:22.9875251Z             aten_view_copy_default_18: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_11, [1, 1, 12, 64]);  aten_squeeze_copy_dims_11 = None
2025-03-21T20:26:22.9876735Z             
2025-03-21T20:26:22.9877860Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:22.9879918Z             aten_view_copy_default_19: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_12, [1, 1, 12, 64]);  aten_squeeze_copy_dims_12 = None
2025-03-21T20:26:22.9881191Z             
2025-03-21T20:26:22.9882436Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:22.9884769Z             aten_view_copy_default_20: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_13, [1, 1, 12, 64]);  aten_squeeze_copy_dims_13 = None
2025-03-21T20:26:22.9886334Z             
2025-03-21T20:26:22.9887605Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:22.9889948Z             aten_view_copy_default_21: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_18, [1, 1, 12, -1, 2]);  aten_view_copy_default_18 = None
2025-03-21T20:26:22.9891990Z             aten_slice_copy_tensor_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_21, 4, 0, 1)
2025-03-21T20:26:22.9893973Z             aten_slice_copy_tensor_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_21, 4, 1, 2);  aten_view_copy_default_21 = None
2025-03-21T20:26:22.9896232Z             aten_squeeze_copy_dims_14: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_4, [4]);  aten_slice_copy_tensor_4 = None
2025-03-21T20:26:22.9898454Z             aten_squeeze_copy_dims_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_5, [4]);  aten_slice_copy_tensor_5 = None
2025-03-21T20:26:22.9899835Z             
2025-03-21T20:26:22.9901081Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:22.9903488Z             aten_view_copy_default_22: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_19, [1, 1, 12, -1, 2]);  aten_view_copy_default_19 = None
2025-03-21T20:26:22.9905806Z             aten_slice_copy_tensor_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_22, 4, 0, 1)
2025-03-21T20:26:22.9907859Z             aten_slice_copy_tensor_7: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_22, 4, 1, 2);  aten_view_copy_default_22 = None
2025-03-21T20:26:22.9910116Z             aten_squeeze_copy_dims_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_6, [4]);  aten_slice_copy_tensor_6 = None
2025-03-21T20:26:22.9912334Z             aten_squeeze_copy_dims_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_7, [4]);  aten_slice_copy_tensor_7 = None
2025-03-21T20:26:22.9913710Z             
2025-03-21T20:26:22.9914791Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:22.9916648Z             aten_view_copy_default_23: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:22.9917790Z             
2025-03-21T20:26:22.9918844Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:22.9920682Z             aten_view_copy_default_24: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:22.9921846Z             
2025-03-21T20:26:22.9922967Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:22.9924924Z             aten_mul_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_14, aten_view_copy_default_23)
2025-03-21T20:26:22.9926795Z             aten_mul_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_15, aten_view_copy_default_24)
2025-03-21T20:26:22.9928851Z             aten_sub_tensor_2: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_17, aten_mul_tensor_18);  aten_mul_tensor_17 = aten_mul_tensor_18 = None
2025-03-21T20:26:22.9930304Z             
2025-03-21T20:26:22.9931435Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:22.9933610Z             aten_mul_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_14, aten_view_copy_default_24);  aten_squeeze_copy_dims_14 = None
2025-03-21T20:26:22.9935917Z             aten_mul_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_15, aten_view_copy_default_23);  aten_squeeze_copy_dims_15 = None
2025-03-21T20:26:22.9938213Z             aten_add_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_19, aten_mul_tensor_20);  aten_mul_tensor_19 = aten_mul_tensor_20 = None
2025-03-21T20:26:22.9939595Z             
2025-03-21T20:26:22.9940720Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:22.9942746Z             aten_mul_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_16, aten_view_copy_default_23)
2025-03-21T20:26:22.9944608Z             aten_mul_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_17, aten_view_copy_default_24)
2025-03-21T20:26:22.9946815Z             aten_sub_tensor_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_21, aten_mul_tensor_22);  aten_mul_tensor_21 = aten_mul_tensor_22 = None
2025-03-21T20:26:22.9948255Z             
2025-03-21T20:26:22.9949375Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:22.9951732Z             aten_mul_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_16, aten_view_copy_default_24);  aten_squeeze_copy_dims_16 = aten_view_copy_default_24 = None
2025-03-21T20:26:22.9954404Z             aten_mul_tensor_24: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_17, aten_view_copy_default_23);  aten_squeeze_copy_dims_17 = aten_view_copy_default_23 = None
2025-03-21T20:26:22.9956871Z             aten_add_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_23, aten_mul_tensor_24);  aten_mul_tensor_23 = aten_mul_tensor_24 = None
2025-03-21T20:26:22.9958259Z             
2025-03-21T20:26:22.9959488Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:22.9961691Z             aten_unsqueeze_copy_default_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_2, 4);  aten_sub_tensor_2 = None
2025-03-21T20:26:22.9963893Z             aten_unsqueeze_copy_default_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_5, 4);  aten_add_tensor_5 = None
2025-03-21T20:26:22.9966556Z             aten_cat_default_4: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_14, aten_unsqueeze_copy_default_15], -1);  aten_unsqueeze_copy_default_14 = aten_unsqueeze_copy_default_15 = None
2025-03-21T20:26:22.9969187Z             aten_view_copy_default_25: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_4, [1, 1, 12, 64]);  aten_cat_default_4 = None
2025-03-21T20:26:22.9970528Z             
2025-03-21T20:26:22.9971734Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:22.9973998Z             aten_unsqueeze_copy_default_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_3, 4);  aten_sub_tensor_3 = None
2025-03-21T20:26:22.9976388Z             aten_unsqueeze_copy_default_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_6, 4);  aten_add_tensor_6 = None
2025-03-21T20:26:22.9979039Z             aten_cat_default_5: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_16, aten_unsqueeze_copy_default_17], -1);  aten_unsqueeze_copy_default_16 = aten_unsqueeze_copy_default_17 = None
2025-03-21T20:26:22.9981745Z             aten_view_copy_default_26: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_5, [1, 1, 12, 64]);  aten_cat_default_5 = None
2025-03-21T20:26:22.9983089Z             
2025-03-21T20:26:22.9984311Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:22.9986648Z             aten_permute_copy_default_47: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_25, [0, 2, 1, 3]);  aten_view_copy_default_25 = None
2025-03-21T20:26:22.9988114Z             
2025-03-21T20:26:22.9989635Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:22.9992927Z             aten_index_put_default_2: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_1_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_26);  aten_view_copy_default_26 = None
2025-03-21T20:26:22.9994810Z             
2025-03-21T20:26:22.9996318Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:22.9999315Z             aten_index_put_default_3: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_1_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_20);  aten_view_copy_default_20 = None
2025-03-21T20:26:23.0001181Z             
2025-03-21T20:26:23.0002641Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0005006Z             aten_permute_copy_default_48: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0007145Z             aten_select_copy_int_48: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_48, 0, 0);  aten_permute_copy_default_48 = None
2025-03-21T20:26:23.0009351Z             aten_select_copy_int_49: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_48, 0, 0);  aten_select_copy_int_48 = None
2025-03-21T20:26:23.0011420Z             aten_permute_copy_default_49: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0013582Z             aten_select_copy_int_50: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_49, 0, 0);  aten_permute_copy_default_49 = None
2025-03-21T20:26:23.0015780Z             aten_select_copy_int_51: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_50, 0, 1);  aten_select_copy_int_50 = None
2025-03-21T20:26:23.0017903Z             aten_permute_copy_default_50: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0020036Z             aten_select_copy_int_52: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_50, 0, 0);  aten_permute_copy_default_50 = None
2025-03-21T20:26:23.0022300Z             aten_select_copy_int_53: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_52, 0, 2);  aten_select_copy_int_52 = None
2025-03-21T20:26:23.0024352Z             aten_permute_copy_default_51: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0026511Z             aten_select_copy_int_54: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_51, 0, 0);  aten_permute_copy_default_51 = None
2025-03-21T20:26:23.0028698Z             aten_select_copy_int_55: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_54, 0, 3);  aten_select_copy_int_54 = None
2025-03-21T20:26:23.0030759Z             aten_permute_copy_default_52: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0032909Z             aten_select_copy_int_56: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_52, 0, 0);  aten_permute_copy_default_52 = None
2025-03-21T20:26:23.0035126Z             aten_select_copy_int_57: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_56, 0, 4);  aten_select_copy_int_56 = None
2025-03-21T20:26:23.0037333Z             aten_permute_copy_default_53: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0039475Z             aten_select_copy_int_58: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_53, 0, 0);  aten_permute_copy_default_53 = None
2025-03-21T20:26:23.0041676Z             aten_select_copy_int_59: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_58, 0, 5);  aten_select_copy_int_58 = None
2025-03-21T20:26:23.0043739Z             aten_permute_copy_default_54: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0045898Z             aten_select_copy_int_60: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_54, 0, 0);  aten_permute_copy_default_54 = None
2025-03-21T20:26:23.0048105Z             aten_select_copy_int_61: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_60, 0, 6);  aten_select_copy_int_60 = None
2025-03-21T20:26:23.0050139Z             aten_permute_copy_default_55: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0052280Z             aten_select_copy_int_62: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_55, 0, 0);  aten_permute_copy_default_55 = None
2025-03-21T20:26:23.0054482Z             aten_select_copy_int_63: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_62, 0, 7);  aten_select_copy_int_62 = None
2025-03-21T20:26:23.0056543Z             aten_permute_copy_default_56: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0058695Z             aten_select_copy_int_64: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_56, 0, 0);  aten_permute_copy_default_56 = None
2025-03-21T20:26:23.0060936Z             aten_select_copy_int_65: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_64, 0, 8);  aten_select_copy_int_64 = None
2025-03-21T20:26:23.0063060Z             aten_permute_copy_default_57: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0065196Z             aten_select_copy_int_66: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_57, 0, 0);  aten_permute_copy_default_57 = None
2025-03-21T20:26:23.0067378Z             aten_select_copy_int_67: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_66, 0, 9);  aten_select_copy_int_66 = None
2025-03-21T20:26:23.0069446Z             aten_permute_copy_default_58: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0071576Z             aten_select_copy_int_68: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_58, 0, 0);  aten_permute_copy_default_58 = None
2025-03-21T20:26:23.0073768Z             aten_select_copy_int_69: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_68, 0, 10);  aten_select_copy_int_68 = None
2025-03-21T20:26:23.0076306Z             aten_permute_copy_default_59: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_2, [0, 2, 1, 3])
2025-03-21T20:26:23.0077598Z             aten_select_copy_int_70: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_59, 0, 0);  aten_permute_copy_default_59 = None
2025-03-21T20:26:23.0079299Z             aten_select_copy_int_71: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_70, 0, 11);  aten_select_copy_int_70 = None
2025-03-21T20:26:23.0082147Z             aten_cat_default_6: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_49, aten_select_copy_int_51, aten_select_copy_int_53, aten_select_copy_int_55, aten_select_copy_int_57, aten_select_copy_int_59, aten_select_copy_int_61, aten_select_copy_int_63, aten_select_copy_int_65, aten_select_copy_int_67, aten_select_copy_int_69, aten_select_copy_int_71]);  aten_select_copy_int_49 = aten_select_copy_int_51 = aten_select_copy_int_53 = aten_select_copy_int_55 = aten_select_copy_int_57 = aten_select_copy_int_59 = aten_select_copy_int_61 = aten_select_copy_int_63 = aten_select_copy_int_65 = aten_select_copy_int_67 = aten_select_copy_int_69 = aten_select_copy_int_71 = None
2025-03-21T20:26:23.0084993Z             aten_view_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_6, [1, 12, 128, 64]);  aten_cat_default_6 = None
2025-03-21T20:26:23.0085728Z             
2025-03-21T20:26:23.0086522Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0087756Z             aten_permute_copy_default_60: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0088889Z             aten_select_copy_int_72: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_60, 0, 0);  aten_permute_copy_default_60 = None
2025-03-21T20:26:23.0090050Z             aten_select_copy_int_73: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_72, 0, 0);  aten_select_copy_int_72 = None
2025-03-21T20:26:23.0091143Z             aten_permute_copy_default_61: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0092302Z             aten_select_copy_int_74: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_61, 0, 0);  aten_permute_copy_default_61 = None
2025-03-21T20:26:23.0093468Z             aten_select_copy_int_75: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_74, 0, 1);  aten_select_copy_int_74 = None
2025-03-21T20:26:23.0094563Z             aten_permute_copy_default_62: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0095696Z             aten_select_copy_int_76: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_62, 0, 0);  aten_permute_copy_default_62 = None
2025-03-21T20:26:23.0096866Z             aten_select_copy_int_77: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_76, 0, 2);  aten_select_copy_int_76 = None
2025-03-21T20:26:23.0097963Z             aten_permute_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0099092Z             aten_select_copy_int_78: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_63, 0, 0);  aten_permute_copy_default_63 = None
2025-03-21T20:26:23.0100252Z             aten_select_copy_int_79: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_78, 0, 3);  aten_select_copy_int_78 = None
2025-03-21T20:26:23.0101428Z             aten_permute_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0102643Z             aten_select_copy_int_80: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_64, 0, 0);  aten_permute_copy_default_64 = None
2025-03-21T20:26:23.0103800Z             aten_select_copy_int_81: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_80, 0, 4);  aten_select_copy_int_80 = None
2025-03-21T20:26:23.0104895Z             aten_permute_copy_default_65: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0106024Z             aten_select_copy_int_82: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_65, 0, 0);  aten_permute_copy_default_65 = None
2025-03-21T20:26:23.0107184Z             aten_select_copy_int_83: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_82, 0, 5);  aten_select_copy_int_82 = None
2025-03-21T20:26:23.0108275Z             aten_permute_copy_default_66: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0109402Z             aten_select_copy_int_84: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_66, 0, 0);  aten_permute_copy_default_66 = None
2025-03-21T20:26:23.0110561Z             aten_select_copy_int_85: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_84, 0, 6);  aten_select_copy_int_84 = None
2025-03-21T20:26:23.0111649Z             aten_permute_copy_default_67: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0112779Z             aten_select_copy_int_86: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_67, 0, 0);  aten_permute_copy_default_67 = None
2025-03-21T20:26:23.0113945Z             aten_select_copy_int_87: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_86, 0, 7);  aten_select_copy_int_86 = None
2025-03-21T20:26:23.0115054Z             aten_permute_copy_default_68: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0116183Z             aten_select_copy_int_88: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_68, 0, 0);  aten_permute_copy_default_68 = None
2025-03-21T20:26:23.0117337Z             aten_select_copy_int_89: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_88, 0, 8);  aten_select_copy_int_88 = None
2025-03-21T20:26:23.0118421Z             aten_permute_copy_default_69: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0119556Z             aten_select_copy_int_90: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_69, 0, 0);  aten_permute_copy_default_69 = None
2025-03-21T20:26:23.0120713Z             aten_select_copy_int_91: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_90, 0, 9);  aten_select_copy_int_90 = None
2025-03-21T20:26:23.0121799Z             aten_permute_copy_default_70: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0122930Z             aten_select_copy_int_92: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_70, 0, 0);  aten_permute_copy_default_70 = None
2025-03-21T20:26:23.0124087Z             aten_select_copy_int_93: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_92, 0, 10);  aten_select_copy_int_92 = None
2025-03-21T20:26:23.0125250Z             aten_permute_copy_default_71: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_3, [0, 2, 1, 3])
2025-03-21T20:26:23.0126385Z             aten_select_copy_int_94: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_71, 0, 0);  aten_permute_copy_default_71 = None
2025-03-21T20:26:23.0127536Z             aten_select_copy_int_95: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_94, 0, 11);  aten_select_copy_int_94 = None
2025-03-21T20:26:23.0130364Z             aten_cat_default_7: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_73, aten_select_copy_int_75, aten_select_copy_int_77, aten_select_copy_int_79, aten_select_copy_int_81, aten_select_copy_int_83, aten_select_copy_int_85, aten_select_copy_int_87, aten_select_copy_int_89, aten_select_copy_int_91, aten_select_copy_int_93, aten_select_copy_int_95]);  aten_select_copy_int_73 = aten_select_copy_int_75 = aten_select_copy_int_77 = aten_select_copy_int_79 = aten_select_copy_int_81 = aten_select_copy_int_83 = aten_select_copy_int_85 = aten_select_copy_int_87 = aten_select_copy_int_89 = aten_select_copy_int_91 = aten_select_copy_int_93 = aten_select_copy_int_95 = None
2025-03-21T20:26:23.0133227Z             aten_view_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_7, [1, 12, 128, 64]);  aten_cat_default_7 = None
2025-03-21T20:26:23.0133956Z             
2025-03-21T20:26:23.0134593Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.0135781Z             aten_index_tensor_3: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_1_attention_mask, [attn_options_input_pos]);  b_layers_1_attention_mask = None
2025-03-21T20:26:23.0136566Z             
2025-03-21T20:26:23.0137288Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.0138610Z             aten_permute_copy_default_72: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_27, [0, 1, 3, 2]);  aten_view_copy_default_27 = None
2025-03-21T20:26:23.0139913Z             aten_expand_copy_default_4: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_47, [1, 12, 1, 64]);  aten_permute_copy_default_47 = None
2025-03-21T20:26:23.0141176Z             aten_view_copy_default_29: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_4, [12, 1, 64]);  aten_expand_copy_default_4 = None
2025-03-21T20:26:23.0142528Z             aten_expand_copy_default_5: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_72, [1, 12, 64, 128]);  aten_permute_copy_default_72 = None
2025-03-21T20:26:23.0143813Z             aten_view_copy_default_30: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_5, [12, 64, 128]);  aten_expand_copy_default_5 = None
2025-03-21T20:26:23.0145158Z             aten_bmm_default_2: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_29, aten_view_copy_default_30);  aten_view_copy_default_29 = aten_view_copy_default_30 = None
2025-03-21T20:26:23.0146450Z             aten_view_copy_default_31: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_2, [1, 12, 1, 128]);  aten_bmm_default_2 = None
2025-03-21T20:26:23.0147797Z             aten_mul_tensor_25: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_31, _lifted_tensor_constant39);  aten_view_copy_default_31 = _lifted_tensor_constant39 = None
2025-03-21T20:26:23.0148702Z             
2025-03-21T20:26:23.0149325Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.0150486Z             aten_add_tensor_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_25, aten_index_tensor_3);  aten_mul_tensor_25 = aten_index_tensor_3 = None
2025-03-21T20:26:23.0151248Z             
2025-03-21T20:26:23.0151947Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.0153139Z             aten__softmax_default_1: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_7, -1, False);  aten_add_tensor_7 = None
2025-03-21T20:26:23.0153845Z             
2025-03-21T20:26:23.0154450Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.0155604Z             aten_expand_copy_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_1, [1, 12, 1, 128]);  aten__softmax_default_1 = None
2025-03-21T20:26:23.0156868Z             aten_view_copy_default_32: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_6, [12, 1, 128]);  aten_expand_copy_default_6 = None
2025-03-21T20:26:23.0158131Z             aten_expand_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_28, [1, 12, 128, 64]);  aten_view_copy_default_28 = None
2025-03-21T20:26:23.0159404Z             aten_view_copy_default_33: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_7, [12, 128, 64]);  aten_expand_copy_default_7 = None
2025-03-21T20:26:23.0160743Z             aten_bmm_default_3: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_32, aten_view_copy_default_33);  aten_view_copy_default_32 = aten_view_copy_default_33 = None
2025-03-21T20:26:23.0162044Z             aten_view_copy_default_34: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_3, [1, 12, 1, 64]);  aten_bmm_default_3 = None
2025-03-21T20:26:23.0162752Z             
2025-03-21T20:26:23.0163521Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.0164854Z             aten_permute_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_34, [0, 2, 1, 3]);  aten_view_copy_default_34 = None
2025-03-21T20:26:23.0166126Z             aten_view_copy_default_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_73, [1, 1, 768]);  aten_permute_copy_default_73 = None
2025-03-21T20:26:23.0166899Z             
2025-03-21T20:26:23.0167564Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0168785Z             aten_unsqueeze_copy_default_18: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_35, -1);  aten_view_copy_default_35 = None
2025-03-21T20:26:23.0169558Z             
2025-03-21T20:26:23.0170101Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0171252Z             aten_permute_copy_default_74: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_18, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_18 = None
2025-03-21T20:26:23.0172148Z             
2025-03-21T20:26:23.0172657Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0174062Z             aten_convolution_default_10: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_74, p_layers_1_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_74 = p_layers_1_attention_wo_conv_weight = None
2025-03-21T20:26:23.0175175Z             
2025-03-21T20:26:23.0175908Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0177046Z             aten_permute_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_10, [0, 2, 1, 3]);  aten_convolution_default_10 = None
2025-03-21T20:26:23.0177861Z             
2025-03-21T20:26:23.0178542Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0179757Z             aten_squeeze_copy_dims_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_75, [-1]);  aten_permute_copy_default_75 = None
2025-03-21T20:26:23.0180515Z             
2025-03-21T20:26:23.0181024Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.0182177Z             aten_add_tensor_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_4, aten_squeeze_copy_dims_18);  aten_add_tensor_4 = aten_squeeze_copy_dims_18 = None
2025-03-21T20:26:23.0182952Z             
2025-03-21T20:26:23.0183595Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0184605Z             aten_pow_tensor_scalar_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_8, 2)
2025-03-21T20:26:23.0185623Z             aten_mean_dim_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_3, [2], True);  aten_pow_tensor_scalar_3 = None
2025-03-21T20:26:23.0186658Z             aten_add_scalar_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_3, 9.999999747378752e-06);  aten_mean_dim_3 = None
2025-03-21T20:26:23.0187654Z             aten_rsqrt_default_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_3);  aten_add_scalar_3 = None
2025-03-21T20:26:23.0188689Z             aten_mul_tensor_26: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_8, aten_rsqrt_default_3);  aten_rsqrt_default_3 = None
2025-03-21T20:26:23.0189903Z             aten_mul_tensor_27: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_26, p_layers_1_ffn_norm_weight);  aten_mul_tensor_26 = p_layers_1_ffn_norm_weight = None
2025-03-21T20:26:23.0190703Z             
2025-03-21T20:26:23.0191383Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0192460Z             aten_unsqueeze_copy_default_19: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_27, -1)
2025-03-21T20:26:23.0193108Z             
2025-03-21T20:26:23.0193663Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0194818Z             aten_permute_copy_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_19, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_19 = None
2025-03-21T20:26:23.0195753Z             
2025-03-21T20:26:23.0196250Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0197684Z             aten_convolution_default_11: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_76, p_layers_1_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_76 = p_layers_1_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.0198831Z             
2025-03-21T20:26:23.0199403Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0200561Z             aten_permute_copy_default_77: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_11, [0, 2, 1, 3]);  aten_convolution_default_11 = None
2025-03-21T20:26:23.0201390Z             
2025-03-21T20:26:23.0202076Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0203288Z             aten_squeeze_copy_dims_19: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_77, [-1]);  aten_permute_copy_default_77 = None
2025-03-21T20:26:23.0204068Z             
2025-03-21T20:26:23.0204737Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0205777Z             aten_sigmoid_default_1: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_19)
2025-03-21T20:26:23.0206943Z             aten_mul_tensor_28: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_19, aten_sigmoid_default_1);  aten_squeeze_copy_dims_19 = aten_sigmoid_default_1 = None
2025-03-21T20:26:23.0207796Z             
2025-03-21T20:26:23.0208466Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0209674Z             aten_unsqueeze_copy_default_20: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_27, -1);  aten_mul_tensor_27 = None
2025-03-21T20:26:23.0210405Z             
2025-03-21T20:26:23.0210956Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0212114Z             aten_permute_copy_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_20, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_20 = None
2025-03-21T20:26:23.0212942Z             
2025-03-21T20:26:23.0213441Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0214870Z             aten_convolution_default_12: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_78, p_layers_1_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_78 = p_layers_1_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.0216017Z             
2025-03-21T20:26:23.0216574Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0217736Z             aten_permute_copy_default_79: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_12, [0, 2, 1, 3]);  aten_convolution_default_12 = None
2025-03-21T20:26:23.0218569Z             
2025-03-21T20:26:23.0219302Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0220565Z             aten_squeeze_copy_dims_20: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_79, [-1]);  aten_permute_copy_default_79 = None
2025-03-21T20:26:23.0221425Z             
2025-03-21T20:26:23.0222091Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0223323Z             aten_mul_tensor_29: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_28, aten_squeeze_copy_dims_20);  aten_mul_tensor_28 = aten_squeeze_copy_dims_20 = None
2025-03-21T20:26:23.0224140Z             
2025-03-21T20:26:23.0224809Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0225998Z             aten_unsqueeze_copy_default_21: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_29, -1);  aten_mul_tensor_29 = None
2025-03-21T20:26:23.0226751Z             
2025-03-21T20:26:23.0227306Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0228472Z             aten_permute_copy_default_80: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_21, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_21 = None
2025-03-21T20:26:23.0229300Z             
2025-03-21T20:26:23.0229811Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0231245Z             aten_convolution_default_13: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_80, p_layers_1_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_80 = p_layers_1_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.0232388Z             
2025-03-21T20:26:23.0232967Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0234162Z             aten_permute_copy_default_81: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_13, [0, 2, 1, 3]);  aten_convolution_default_13 = None
2025-03-21T20:26:23.0234980Z             
2025-03-21T20:26:23.0235671Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0236890Z             aten_squeeze_copy_dims_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_81, [-1]);  aten_permute_copy_default_81 = None
2025-03-21T20:26:23.0237668Z             
2025-03-21T20:26:23.0238327Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0239551Z             aten_add_tensor_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_8, aten_squeeze_copy_dims_21);  aten_add_tensor_8 = aten_squeeze_copy_dims_21 = None
2025-03-21T20:26:23.0240352Z             
2025-03-21T20:26:23.0241066Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.0242144Z             aten_pow_tensor_scalar_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_9, 2)
2025-03-21T20:26:23.0243098Z             aten_mean_dim_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_4, [2], True);  aten_pow_tensor_scalar_4 = None
2025-03-21T20:26:23.0244230Z             aten_add_scalar_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_4, 9.999999747378752e-06);  aten_mean_dim_4 = None
2025-03-21T20:26:23.0245231Z             aten_rsqrt_default_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_4);  aten_add_scalar_4 = None
2025-03-21T20:26:23.0246271Z             aten_mul_tensor_30: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_9, aten_rsqrt_default_4);  aten_rsqrt_default_4 = None
2025-03-21T20:26:23.0247531Z             aten_mul_tensor_31: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_30, p_layers_2_attention_norm_weight);  aten_mul_tensor_30 = p_layers_2_attention_norm_weight = None
2025-03-21T20:26:23.0248386Z             
2025-03-21T20:26:23.0249057Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0250137Z             aten_unsqueeze_copy_default_22: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_31, -1)
2025-03-21T20:26:23.0250773Z             
2025-03-21T20:26:23.0251322Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0252473Z             aten_permute_copy_default_82: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_22, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_22 = None
2025-03-21T20:26:23.0253308Z             
2025-03-21T20:26:23.0253815Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0255243Z             aten_convolution_default_14: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_82, p_layers_2_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_82 = p_layers_2_attention_wq_conv_weight = None
2025-03-21T20:26:23.0256364Z             
2025-03-21T20:26:23.0256944Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0258090Z             aten_permute_copy_default_83: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_14, [0, 2, 1, 3]);  aten_convolution_default_14 = None
2025-03-21T20:26:23.0258907Z             
2025-03-21T20:26:23.0259592Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0260821Z             aten_squeeze_copy_dims_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_83, [-1]);  aten_permute_copy_default_83 = None
2025-03-21T20:26:23.0261676Z             
2025-03-21T20:26:23.0262344Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0263423Z             aten_unsqueeze_copy_default_23: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_31, -1)
2025-03-21T20:26:23.0264050Z             
2025-03-21T20:26:23.0264599Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0265755Z             aten_permute_copy_default_84: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_23, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_23 = None
2025-03-21T20:26:23.0266596Z             
2025-03-21T20:26:23.0267107Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0268592Z             aten_convolution_default_15: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_84, p_layers_2_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_84 = p_layers_2_attention_wk_conv_weight = None
2025-03-21T20:26:23.0269720Z             
2025-03-21T20:26:23.0270277Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0271447Z             aten_permute_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_15, [0, 2, 1, 3]);  aten_convolution_default_15 = None
2025-03-21T20:26:23.0272274Z             
2025-03-21T20:26:23.0272958Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0274202Z             aten_squeeze_copy_dims_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_85, [-1]);  aten_permute_copy_default_85 = None
2025-03-21T20:26:23.0274992Z             
2025-03-21T20:26:23.0275860Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0277042Z             aten_unsqueeze_copy_default_24: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_31, -1);  aten_mul_tensor_31 = None
2025-03-21T20:26:23.0277797Z             
2025-03-21T20:26:23.0278351Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0279511Z             aten_permute_copy_default_86: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_24, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_24 = None
2025-03-21T20:26:23.0280349Z             
2025-03-21T20:26:23.0280855Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0282328Z             aten_convolution_default_16: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_86, p_layers_2_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_86 = p_layers_2_attention_wv_conv_weight = None
2025-03-21T20:26:23.0283441Z             
2025-03-21T20:26:23.0283996Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0285149Z             aten_permute_copy_default_87: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_16, [0, 2, 1, 3]);  aten_convolution_default_16 = None
2025-03-21T20:26:23.0285969Z             
2025-03-21T20:26:23.0286654Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0287874Z             aten_squeeze_copy_dims_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_87, [-1]);  aten_permute_copy_default_87 = None
2025-03-21T20:26:23.0288646Z             
2025-03-21T20:26:23.0289296Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.0290492Z             aten_view_copy_default_36: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_22, [1, 1, 12, 64]);  aten_squeeze_copy_dims_22 = None
2025-03-21T20:26:23.0291254Z             
2025-03-21T20:26:23.0292061Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0293268Z             aten_view_copy_default_37: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_23, [1, 1, 12, 64]);  aten_squeeze_copy_dims_23 = None
2025-03-21T20:26:23.0294034Z             
2025-03-21T20:26:23.0294701Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0295904Z             aten_view_copy_default_38: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_24, [1, 1, 12, 64]);  aten_squeeze_copy_dims_24 = None
2025-03-21T20:26:23.0296657Z             
2025-03-21T20:26:23.0297325Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0298527Z             aten_view_copy_default_39: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_36, [1, 1, 12, -1, 2]);  aten_view_copy_default_36 = None
2025-03-21T20:26:23.0299624Z             aten_slice_copy_tensor_8: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_39, 4, 0, 1)
2025-03-21T20:26:23.0300699Z             aten_slice_copy_tensor_9: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_39, 4, 1, 2);  aten_view_copy_default_39 = None
2025-03-21T20:26:23.0301949Z             aten_squeeze_copy_dims_25: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_8, [4]);  aten_slice_copy_tensor_8 = None
2025-03-21T20:26:23.0303107Z             aten_squeeze_copy_dims_26: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_9, [4]);  aten_slice_copy_tensor_9 = None
2025-03-21T20:26:23.0303829Z             
2025-03-21T20:26:23.0304481Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0305722Z             aten_view_copy_default_40: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_37, [1, 1, 12, -1, 2]);  aten_view_copy_default_37 = None
2025-03-21T20:26:23.0306816Z             aten_slice_copy_tensor_10: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_40, 4, 0, 1)
2025-03-21T20:26:23.0307887Z             aten_slice_copy_tensor_11: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_40, 4, 1, 2);  aten_view_copy_default_40 = None
2025-03-21T20:26:23.0309069Z             aten_squeeze_copy_dims_27: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_10, [4]);  aten_slice_copy_tensor_10 = None
2025-03-21T20:26:23.0310229Z             aten_squeeze_copy_dims_28: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_11, [4]);  aten_slice_copy_tensor_11 = None
2025-03-21T20:26:23.0310950Z             
2025-03-21T20:26:23.0311517Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0312474Z             aten_view_copy_default_41: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.0313071Z             
2025-03-21T20:26:23.0313637Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0314669Z             aten_view_copy_default_42: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.0315279Z             
2025-03-21T20:26:23.0315882Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.0316903Z             aten_mul_tensor_32: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_25, aten_view_copy_default_41)
2025-03-21T20:26:23.0317869Z             aten_mul_tensor_33: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_26, aten_view_copy_default_42)
2025-03-21T20:26:23.0318945Z             aten_sub_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_32, aten_mul_tensor_33);  aten_mul_tensor_32 = aten_mul_tensor_33 = None
2025-03-21T20:26:23.0319680Z             
2025-03-21T20:26:23.0320289Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.0321424Z             aten_mul_tensor_34: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_25, aten_view_copy_default_42);  aten_squeeze_copy_dims_25 = None
2025-03-21T20:26:23.0322638Z             aten_mul_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_26, aten_view_copy_default_41);  aten_squeeze_copy_dims_26 = None
2025-03-21T20:26:23.0323829Z             aten_add_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_34, aten_mul_tensor_35);  aten_mul_tensor_34 = aten_mul_tensor_35 = None
2025-03-21T20:26:23.0324563Z             
2025-03-21T20:26:23.0325168Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.0326192Z             aten_mul_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_27, aten_view_copy_default_41)
2025-03-21T20:26:23.0327170Z             aten_mul_tensor_37: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_28, aten_view_copy_default_42)
2025-03-21T20:26:23.0328277Z             aten_sub_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_36, aten_mul_tensor_37);  aten_mul_tensor_36 = aten_mul_tensor_37 = None
2025-03-21T20:26:23.0329013Z             
2025-03-21T20:26:23.0329620Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.0330847Z             aten_mul_tensor_38: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_27, aten_view_copy_default_42);  aten_squeeze_copy_dims_27 = aten_view_copy_default_42 = None
2025-03-21T20:26:23.0332243Z             aten_mul_tensor_39: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_28, aten_view_copy_default_41);  aten_squeeze_copy_dims_28 = aten_view_copy_default_41 = None
2025-03-21T20:26:23.0333531Z             aten_add_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_38, aten_mul_tensor_39);  aten_mul_tensor_38 = aten_mul_tensor_39 = None
2025-03-21T20:26:23.0334260Z             
2025-03-21T20:26:23.0334912Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0336061Z             aten_unsqueeze_copy_default_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_4, 4);  aten_sub_tensor_4 = None
2025-03-21T20:26:23.0337293Z             aten_unsqueeze_copy_default_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_10, 4);  aten_add_tensor_10 = None
2025-03-21T20:26:23.0338677Z             aten_cat_default_8: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_25, aten_unsqueeze_copy_default_26], -1);  aten_unsqueeze_copy_default_25 = aten_unsqueeze_copy_default_26 = None
2025-03-21T20:26:23.0340043Z             aten_view_copy_default_43: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_8, [1, 1, 12, 64]);  aten_cat_default_8 = None
2025-03-21T20:26:23.0340750Z             
2025-03-21T20:26:23.0341454Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0342608Z             aten_unsqueeze_copy_default_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_5, 4);  aten_sub_tensor_5 = None
2025-03-21T20:26:23.0343744Z             aten_unsqueeze_copy_default_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_11, 4);  aten_add_tensor_11 = None
2025-03-21T20:26:23.0345128Z             aten_cat_default_9: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_27, aten_unsqueeze_copy_default_28], -1);  aten_unsqueeze_copy_default_27 = aten_unsqueeze_copy_default_28 = None
2025-03-21T20:26:23.0346491Z             aten_view_copy_default_44: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_9, [1, 1, 12, 64]);  aten_cat_default_9 = None
2025-03-21T20:26:23.0347195Z             
2025-03-21T20:26:23.0347858Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.0349080Z             aten_permute_copy_default_88: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_43, [0, 2, 1, 3]);  aten_view_copy_default_43 = None
2025-03-21T20:26:23.0349891Z             
2025-03-21T20:26:23.0350712Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.0352279Z             aten_index_put_default_4: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_2_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_44);  aten_view_copy_default_44 = None
2025-03-21T20:26:23.0353275Z             
2025-03-21T20:26:23.0354089Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.0355672Z             aten_index_put_default_5: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_2_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_38);  aten_view_copy_default_38 = None
2025-03-21T20:26:23.0356665Z             
2025-03-21T20:26:23.0357451Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0358695Z             aten_permute_copy_default_89: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0359832Z             aten_select_copy_int_96: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_89, 0, 0);  aten_permute_copy_default_89 = None
2025-03-21T20:26:23.0361072Z             aten_select_copy_int_97: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_96, 0, 0);  aten_select_copy_int_96 = None
2025-03-21T20:26:23.0362158Z             aten_permute_copy_default_90: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0363291Z             aten_select_copy_int_98: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_90, 0, 0);  aten_permute_copy_default_90 = None
2025-03-21T20:26:23.0364454Z             aten_select_copy_int_99: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_98, 0, 1);  aten_select_copy_int_98 = None
2025-03-21T20:26:23.0365551Z             aten_permute_copy_default_91: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0366694Z             aten_select_copy_int_100: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_91, 0, 0);  aten_permute_copy_default_91 = None
2025-03-21T20:26:23.0367871Z             aten_select_copy_int_101: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_100, 0, 2);  aten_select_copy_int_100 = None
2025-03-21T20:26:23.0368974Z             aten_permute_copy_default_92: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0370105Z             aten_select_copy_int_102: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_92, 0, 0);  aten_permute_copy_default_92 = None
2025-03-21T20:26:23.0371276Z             aten_select_copy_int_103: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_102, 0, 3);  aten_select_copy_int_102 = None
2025-03-21T20:26:23.0372378Z             aten_permute_copy_default_93: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0373497Z             aten_select_copy_int_104: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_93, 0, 0);  aten_permute_copy_default_93 = None
2025-03-21T20:26:23.0374698Z             aten_select_copy_int_105: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_104, 0, 4);  aten_select_copy_int_104 = None
2025-03-21T20:26:23.0376050Z             aten_permute_copy_default_94: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0377254Z             aten_select_copy_int_106: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_94, 0, 0);  aten_permute_copy_default_94 = None
2025-03-21T20:26:23.0378433Z             aten_select_copy_int_107: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_106, 0, 5);  aten_select_copy_int_106 = None
2025-03-21T20:26:23.0379529Z             aten_permute_copy_default_95: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0380663Z             aten_select_copy_int_108: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_95, 0, 0);  aten_permute_copy_default_95 = None
2025-03-21T20:26:23.0381900Z             aten_select_copy_int_109: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_108, 0, 6);  aten_select_copy_int_108 = None
2025-03-21T20:26:23.0382998Z             aten_permute_copy_default_96: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0384268Z             aten_select_copy_int_110: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_96, 0, 0);  aten_permute_copy_default_96 = None
2025-03-21T20:26:23.0385436Z             aten_select_copy_int_111: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_110, 0, 7);  aten_select_copy_int_110 = None
2025-03-21T20:26:23.0386521Z             aten_permute_copy_default_97: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0387652Z             aten_select_copy_int_112: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_97, 0, 0);  aten_permute_copy_default_97 = None
2025-03-21T20:26:23.0388945Z             aten_select_copy_int_113: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_112, 0, 8);  aten_select_copy_int_112 = None
2025-03-21T20:26:23.0390048Z             aten_permute_copy_default_98: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0391179Z             aten_select_copy_int_114: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_98, 0, 0);  aten_permute_copy_default_98 = None
2025-03-21T20:26:23.0392355Z             aten_select_copy_int_115: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_114, 0, 9);  aten_select_copy_int_114 = None
2025-03-21T20:26:23.0393449Z             aten_permute_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0394583Z             aten_select_copy_int_116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_99, 0, 0);  aten_permute_copy_default_99 = None
2025-03-21T20:26:23.0395762Z             aten_select_copy_int_117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_116, 0, 10);  aten_select_copy_int_116 = None
2025-03-21T20:26:23.0396865Z             aten_permute_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_4, [0, 2, 1, 3])
2025-03-21T20:26:23.0398057Z             aten_select_copy_int_118: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_100, 0, 0);  aten_permute_copy_default_100 = None
2025-03-21T20:26:23.0399239Z             aten_select_copy_int_119: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_118, 0, 11);  aten_select_copy_int_118 = None
2025-03-21T20:26:23.0402198Z             aten_cat_default_10: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_97, aten_select_copy_int_99, aten_select_copy_int_101, aten_select_copy_int_103, aten_select_copy_int_105, aten_select_copy_int_107, aten_select_copy_int_109, aten_select_copy_int_111, aten_select_copy_int_113, aten_select_copy_int_115, aten_select_copy_int_117, aten_select_copy_int_119]);  aten_select_copy_int_97 = aten_select_copy_int_99 = aten_select_copy_int_101 = aten_select_copy_int_103 = aten_select_copy_int_105 = aten_select_copy_int_107 = aten_select_copy_int_109 = aten_select_copy_int_111 = aten_select_copy_int_113 = aten_select_copy_int_115 = aten_select_copy_int_117 = aten_select_copy_int_119 = None
2025-03-21T20:26:23.0405155Z             aten_view_copy_default_45: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_10, [1, 12, 128, 64]);  aten_cat_default_10 = None
2025-03-21T20:26:23.0405882Z             
2025-03-21T20:26:23.0406670Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0407991Z             aten_permute_copy_default_101: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0409146Z             aten_select_copy_int_120: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_101, 0, 0);  aten_permute_copy_default_101 = None
2025-03-21T20:26:23.0410323Z             aten_select_copy_int_121: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_120, 0, 0);  aten_select_copy_int_120 = None
2025-03-21T20:26:23.0411428Z             aten_permute_copy_default_102: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0412573Z             aten_select_copy_int_122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_102, 0, 0);  aten_permute_copy_default_102 = None
2025-03-21T20:26:23.0413753Z             aten_select_copy_int_123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_122, 0, 1);  aten_select_copy_int_122 = None
2025-03-21T20:26:23.0414855Z             aten_permute_copy_default_103: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0415984Z             aten_select_copy_int_124: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_103, 0, 0);  aten_permute_copy_default_103 = None
2025-03-21T20:26:23.0417162Z             aten_select_copy_int_125: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_124, 0, 2);  aten_select_copy_int_124 = None
2025-03-21T20:26:23.0418266Z             aten_permute_copy_default_104: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0419414Z             aten_select_copy_int_126: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_104, 0, 0);  aten_permute_copy_default_104 = None
2025-03-21T20:26:23.0420632Z             aten_select_copy_int_127: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_126, 0, 3);  aten_select_copy_int_126 = None
2025-03-21T20:26:23.0421812Z             aten_permute_copy_default_105: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0422966Z             aten_select_copy_int_128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_105, 0, 0);  aten_permute_copy_default_105 = None
2025-03-21T20:26:23.0424155Z             aten_select_copy_int_129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_128, 0, 4);  aten_select_copy_int_128 = None
2025-03-21T20:26:23.0425270Z             aten_permute_copy_default_106: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0426417Z             aten_select_copy_int_130: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_106, 0, 0);  aten_permute_copy_default_106 = None
2025-03-21T20:26:23.0427602Z             aten_select_copy_int_131: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_130, 0, 5);  aten_select_copy_int_130 = None
2025-03-21T20:26:23.0428696Z             aten_permute_copy_default_107: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0429918Z             aten_select_copy_int_132: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_107, 0, 0);  aten_permute_copy_default_107 = None
2025-03-21T20:26:23.0431122Z             aten_select_copy_int_133: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_132, 0, 6);  aten_select_copy_int_132 = None
2025-03-21T20:26:23.0432223Z             aten_permute_copy_default_108: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0433363Z             aten_select_copy_int_134: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_108, 0, 0);  aten_permute_copy_default_108 = None
2025-03-21T20:26:23.0434542Z             aten_select_copy_int_135: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_134, 0, 7);  aten_select_copy_int_134 = None
2025-03-21T20:26:23.0435646Z             aten_permute_copy_default_109: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0436796Z             aten_select_copy_int_136: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_109, 0, 0);  aten_permute_copy_default_109 = None
2025-03-21T20:26:23.0437972Z             aten_select_copy_int_137: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_136, 0, 8);  aten_select_copy_int_136 = None
2025-03-21T20:26:23.0439071Z             aten_permute_copy_default_110: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0440206Z             aten_select_copy_int_138: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_110, 0, 0);  aten_permute_copy_default_110 = None
2025-03-21T20:26:23.0441389Z             aten_select_copy_int_139: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_138, 0, 9);  aten_select_copy_int_138 = None
2025-03-21T20:26:23.0442494Z             aten_permute_copy_default_111: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0443668Z             aten_select_copy_int_140: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_111, 0, 0);  aten_permute_copy_default_111 = None
2025-03-21T20:26:23.0444846Z             aten_select_copy_int_141: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_140, 0, 10);  aten_select_copy_int_140 = None
2025-03-21T20:26:23.0445954Z             aten_permute_copy_default_112: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_5, [0, 2, 1, 3])
2025-03-21T20:26:23.0447105Z             aten_select_copy_int_142: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_112, 0, 0);  aten_permute_copy_default_112 = None
2025-03-21T20:26:23.0448283Z             aten_select_copy_int_143: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_142, 0, 11);  aten_select_copy_int_142 = None
2025-03-21T20:26:23.0451310Z             aten_cat_default_11: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_121, aten_select_copy_int_123, aten_select_copy_int_125, aten_select_copy_int_127, aten_select_copy_int_129, aten_select_copy_int_131, aten_select_copy_int_133, aten_select_copy_int_135, aten_select_copy_int_137, aten_select_copy_int_139, aten_select_copy_int_141, aten_select_copy_int_143]);  aten_select_copy_int_121 = aten_select_copy_int_123 = aten_select_copy_int_125 = aten_select_copy_int_127 = aten_select_copy_int_129 = aten_select_copy_int_131 = aten_select_copy_int_133 = aten_select_copy_int_135 = aten_select_copy_int_137 = aten_select_copy_int_139 = aten_select_copy_int_141 = aten_select_copy_int_143 = None
2025-03-21T20:26:23.0454274Z             aten_view_copy_default_46: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_11, [1, 12, 128, 64]);  aten_cat_default_11 = None
2025-03-21T20:26:23.0455011Z             
2025-03-21T20:26:23.0455655Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.0456848Z             aten_index_tensor_4: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_2_attention_mask, [attn_options_input_pos]);  b_layers_2_attention_mask = None
2025-03-21T20:26:23.0457623Z             
2025-03-21T20:26:23.0458349Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.0459650Z             aten_permute_copy_default_113: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_45, [0, 1, 3, 2]);  aten_view_copy_default_45 = None
2025-03-21T20:26:23.0460955Z             aten_expand_copy_default_8: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_88, [1, 12, 1, 64]);  aten_permute_copy_default_88 = None
2025-03-21T20:26:23.0462293Z             aten_view_copy_default_47: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_8, [12, 1, 64]);  aten_expand_copy_default_8 = None
2025-03-21T20:26:23.0463585Z             aten_expand_copy_default_9: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_113, [1, 12, 64, 128]);  aten_permute_copy_default_113 = None
2025-03-21T20:26:23.0464895Z             aten_view_copy_default_48: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_9, [12, 64, 128]);  aten_expand_copy_default_9 = None
2025-03-21T20:26:23.0466247Z             aten_bmm_default_4: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_47, aten_view_copy_default_48);  aten_view_copy_default_47 = aten_view_copy_default_48 = None
2025-03-21T20:26:23.0467564Z             aten_view_copy_default_49: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_4, [1, 12, 1, 128]);  aten_bmm_default_4 = None
2025-03-21T20:26:23.0468855Z             aten_mul_tensor_40: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_49, _lifted_tensor_constant40);  aten_view_copy_default_49 = _lifted_tensor_constant40 = None
2025-03-21T20:26:23.0469714Z             
2025-03-21T20:26:23.0470349Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.0471525Z             aten_add_tensor_12: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_40, aten_index_tensor_4);  aten_mul_tensor_40 = aten_index_tensor_4 = None
2025-03-21T20:26:23.0472300Z             
2025-03-21T20:26:23.0473019Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.0474215Z             aten__softmax_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_12, -1, False);  aten_add_tensor_12 = None
2025-03-21T20:26:23.0474936Z             
2025-03-21T20:26:23.0475531Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.0476948Z             aten_expand_copy_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_2, [1, 12, 1, 128]);  aten__softmax_default_2 = None
2025-03-21T20:26:23.0478236Z             aten_view_copy_default_50: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_10, [12, 1, 128]);  aten_expand_copy_default_10 = None
2025-03-21T20:26:23.0479518Z             aten_expand_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_46, [1, 12, 128, 64]);  aten_view_copy_default_46 = None
2025-03-21T20:26:23.0480803Z             aten_view_copy_default_51: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_11, [12, 128, 64]);  aten_expand_copy_default_11 = None
2025-03-21T20:26:23.0482145Z             aten_bmm_default_5: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_50, aten_view_copy_default_51);  aten_view_copy_default_50 = aten_view_copy_default_51 = None
2025-03-21T20:26:23.0483421Z             aten_view_copy_default_52: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_5, [1, 12, 1, 64]);  aten_bmm_default_5 = None
2025-03-21T20:26:23.0484142Z             
2025-03-21T20:26:23.0484916Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.0486340Z             aten_permute_copy_default_114: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_52, [0, 2, 1, 3]);  aten_view_copy_default_52 = None
2025-03-21T20:26:23.0487619Z             aten_view_copy_default_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_114, [1, 1, 768]);  aten_permute_copy_default_114 = None
2025-03-21T20:26:23.0488400Z             
2025-03-21T20:26:23.0489073Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0490297Z             aten_unsqueeze_copy_default_29: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_53, -1);  aten_view_copy_default_53 = None
2025-03-21T20:26:23.0491129Z             
2025-03-21T20:26:23.0491677Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0492829Z             aten_permute_copy_default_115: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_29, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_29 = None
2025-03-21T20:26:23.0493647Z             
2025-03-21T20:26:23.0494154Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0495576Z             aten_convolution_default_17: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_115, p_layers_2_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_115 = p_layers_2_attention_wo_conv_weight = None
2025-03-21T20:26:23.0496709Z             
2025-03-21T20:26:23.0497273Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0498434Z             aten_permute_copy_default_116: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_17, [0, 2, 1, 3]);  aten_convolution_default_17 = None
2025-03-21T20:26:23.0499252Z             
2025-03-21T20:26:23.0499920Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0501197Z             aten_squeeze_copy_dims_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_116, [-1]);  aten_permute_copy_default_116 = None
2025-03-21T20:26:23.0502094Z             
2025-03-21T20:26:23.0502617Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.0503708Z             aten_add_tensor_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_9, aten_squeeze_copy_dims_29);  aten_add_tensor_9 = aten_squeeze_copy_dims_29 = None
2025-03-21T20:26:23.0504510Z             
2025-03-21T20:26:23.0505173Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0506179Z             aten_pow_tensor_scalar_5: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_13, 2)
2025-03-21T20:26:23.0507145Z             aten_mean_dim_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_5, [2], True);  aten_pow_tensor_scalar_5 = None
2025-03-21T20:26:23.0508177Z             aten_add_scalar_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_5, 9.999999747378752e-06);  aten_mean_dim_5 = None
2025-03-21T20:26:23.0509164Z             aten_rsqrt_default_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_5);  aten_add_scalar_5 = None
2025-03-21T20:26:23.0510197Z             aten_mul_tensor_41: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_13, aten_rsqrt_default_5);  aten_rsqrt_default_5 = None
2025-03-21T20:26:23.0511402Z             aten_mul_tensor_42: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_41, p_layers_2_ffn_norm_weight);  aten_mul_tensor_41 = p_layers_2_ffn_norm_weight = None
2025-03-21T20:26:23.0512207Z             
2025-03-21T20:26:23.0512877Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0513951Z             aten_unsqueeze_copy_default_30: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_42, -1)
2025-03-21T20:26:23.0514609Z             
2025-03-21T20:26:23.0515153Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0516303Z             aten_permute_copy_default_117: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_30, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_30 = None
2025-03-21T20:26:23.0517128Z             
2025-03-21T20:26:23.0517633Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0519072Z             aten_convolution_default_18: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_117, p_layers_2_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_117 = p_layers_2_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.0520221Z             
2025-03-21T20:26:23.0520773Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0521930Z             aten_permute_copy_default_118: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_18, [0, 2, 1, 3]);  aten_convolution_default_18 = None
2025-03-21T20:26:23.0522749Z             
2025-03-21T20:26:23.0523430Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0524702Z             aten_squeeze_copy_dims_30: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_118, [-1]);  aten_permute_copy_default_118 = None
2025-03-21T20:26:23.0525501Z             
2025-03-21T20:26:23.0526160Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0527171Z             aten_sigmoid_default_2: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_30)
2025-03-21T20:26:23.0528313Z             aten_mul_tensor_43: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_30, aten_sigmoid_default_2);  aten_squeeze_copy_dims_30 = aten_sigmoid_default_2 = None
2025-03-21T20:26:23.0529146Z             
2025-03-21T20:26:23.0529811Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0530988Z             aten_unsqueeze_copy_default_31: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_42, -1);  aten_mul_tensor_42 = None
2025-03-21T20:26:23.0531730Z             
2025-03-21T20:26:23.0532279Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0533421Z             aten_permute_copy_default_119: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_31, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_31 = None
2025-03-21T20:26:23.0534258Z             
2025-03-21T20:26:23.0534765Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0536200Z             aten_convolution_default_19: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_119, p_layers_2_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_119 = p_layers_2_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.0537340Z             
2025-03-21T20:26:23.0537899Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0539087Z             aten_permute_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_19, [0, 2, 1, 3]);  aten_convolution_default_19 = None
2025-03-21T20:26:23.0539906Z             
2025-03-21T20:26:23.0540572Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0541865Z             aten_squeeze_copy_dims_31: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_120, [-1]);  aten_permute_copy_default_120 = None
2025-03-21T20:26:23.0542652Z             
2025-03-21T20:26:23.0543325Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0544563Z             aten_mul_tensor_44: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_43, aten_squeeze_copy_dims_31);  aten_mul_tensor_43 = aten_squeeze_copy_dims_31 = None
2025-03-21T20:26:23.0545363Z             
2025-03-21T20:26:23.0546031Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0547195Z             aten_unsqueeze_copy_default_32: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_44, -1);  aten_mul_tensor_44 = None
2025-03-21T20:26:23.0547944Z             
2025-03-21T20:26:23.0548777Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0549937Z             aten_permute_copy_default_121: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_32, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_32 = None
2025-03-21T20:26:23.0550786Z             
2025-03-21T20:26:23.0551308Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0552740Z             aten_convolution_default_20: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_121, p_layers_2_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_121 = p_layers_2_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.0553886Z             
2025-03-21T20:26:23.0554440Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0555610Z             aten_permute_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_20, [0, 2, 1, 3]);  aten_convolution_default_20 = None
2025-03-21T20:26:23.0556436Z             
2025-03-21T20:26:23.0557120Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0558344Z             aten_squeeze_copy_dims_32: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_122, [-1]);  aten_permute_copy_default_122 = None
2025-03-21T20:26:23.0559117Z             
2025-03-21T20:26:23.0559750Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0560973Z             aten_add_tensor_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_13, aten_squeeze_copy_dims_32);  aten_add_tensor_13 = aten_squeeze_copy_dims_32 = None
2025-03-21T20:26:23.0561776Z             
2025-03-21T20:26:23.0562527Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.0563597Z             aten_pow_tensor_scalar_6: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_14, 2)
2025-03-21T20:26:23.0564559Z             aten_mean_dim_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_6, [2], True);  aten_pow_tensor_scalar_6 = None
2025-03-21T20:26:23.0565587Z             aten_add_scalar_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_6, 9.999999747378752e-06);  aten_mean_dim_6 = None
2025-03-21T20:26:23.0566576Z             aten_rsqrt_default_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_6);  aten_add_scalar_6 = None
2025-03-21T20:26:23.0567604Z             aten_mul_tensor_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_14, aten_rsqrt_default_6);  aten_rsqrt_default_6 = None
2025-03-21T20:26:23.0568844Z             aten_mul_tensor_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_45, p_layers_3_attention_norm_weight);  aten_mul_tensor_45 = p_layers_3_attention_norm_weight = None
2025-03-21T20:26:23.0569695Z             
2025-03-21T20:26:23.0570362Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0571433Z             aten_unsqueeze_copy_default_33: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_46, -1)
2025-03-21T20:26:23.0572104Z             
2025-03-21T20:26:23.0572701Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0573859Z             aten_permute_copy_default_123: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_33, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_33 = None
2025-03-21T20:26:23.0574680Z             
2025-03-21T20:26:23.0575191Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0576804Z             aten_convolution_default_21: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_123, p_layers_3_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_123 = p_layers_3_attention_wq_conv_weight = None
2025-03-21T20:26:23.0577932Z             
2025-03-21T20:26:23.0578502Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0579655Z             aten_permute_copy_default_124: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_21, [0, 2, 1, 3]);  aten_convolution_default_21 = None
2025-03-21T20:26:23.0580476Z             
2025-03-21T20:26:23.0581144Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0582441Z             aten_squeeze_copy_dims_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_124, [-1]);  aten_permute_copy_default_124 = None
2025-03-21T20:26:23.0583217Z             
2025-03-21T20:26:23.0583885Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0584967Z             aten_unsqueeze_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_46, -1)
2025-03-21T20:26:23.0585611Z             
2025-03-21T20:26:23.0586235Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0587375Z             aten_permute_copy_default_125: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_34, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_34 = None
2025-03-21T20:26:23.0588208Z             
2025-03-21T20:26:23.0588721Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0590150Z             aten_convolution_default_22: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_125, p_layers_3_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_125 = p_layers_3_attention_wk_conv_weight = None
2025-03-21T20:26:23.0591279Z             
2025-03-21T20:26:23.0591840Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0592994Z             aten_permute_copy_default_126: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_22, [0, 2, 1, 3]);  aten_convolution_default_22 = None
2025-03-21T20:26:23.0593806Z             
2025-03-21T20:26:23.0594474Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0595688Z             aten_squeeze_copy_dims_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_126, [-1]);  aten_permute_copy_default_126 = None
2025-03-21T20:26:23.0596496Z             
2025-03-21T20:26:23.0597218Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0598393Z             aten_unsqueeze_copy_default_35: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_46, -1);  aten_mul_tensor_46 = None
2025-03-21T20:26:23.0599136Z             
2025-03-21T20:26:23.0599687Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0600828Z             aten_permute_copy_default_127: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_35, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_35 = None
2025-03-21T20:26:23.0601658Z             
2025-03-21T20:26:23.0602166Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0603577Z             aten_convolution_default_23: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_127, p_layers_3_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_127 = p_layers_3_attention_wv_conv_weight = None
2025-03-21T20:26:23.0604700Z             
2025-03-21T20:26:23.0605259Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0606523Z             aten_permute_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_23, [0, 2, 1, 3]);  aten_convolution_default_23 = None
2025-03-21T20:26:23.0607333Z             
2025-03-21T20:26:23.0608013Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0609244Z             aten_squeeze_copy_dims_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_128, [-1]);  aten_permute_copy_default_128 = None
2025-03-21T20:26:23.0610048Z             
2025-03-21T20:26:23.0610709Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.0611911Z             aten_view_copy_default_54: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_33, [1, 1, 12, 64]);  aten_squeeze_copy_dims_33 = None
2025-03-21T20:26:23.0612668Z             
2025-03-21T20:26:23.0613326Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0614533Z             aten_view_copy_default_55: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_34, [1, 1, 12, 64]);  aten_squeeze_copy_dims_34 = None
2025-03-21T20:26:23.0615303Z             
2025-03-21T20:26:23.0615972Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0617170Z             aten_view_copy_default_56: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_35, [1, 1, 12, 64]);  aten_squeeze_copy_dims_35 = None
2025-03-21T20:26:23.0617929Z             
2025-03-21T20:26:23.0618601Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0631628Z             aten_view_copy_default_57: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_54, [1, 1, 12, -1, 2]);  aten_view_copy_default_54 = None
2025-03-21T20:26:23.0632247Z             aten_slice_copy_tensor_12: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_57, 4, 0, 1)
2025-03-21T20:26:23.0632798Z             aten_slice_copy_tensor_13: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_57, 4, 1, 2);  aten_view_copy_default_57 = None
2025-03-21T20:26:23.0633342Z             aten_squeeze_copy_dims_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_12, [4]);  aten_slice_copy_tensor_12 = None
2025-03-21T20:26:23.0633869Z             aten_squeeze_copy_dims_37: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_13, [4]);  aten_slice_copy_tensor_13 = None
2025-03-21T20:26:23.0633977Z             
2025-03-21T20:26:23.0634524Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0635105Z             aten_view_copy_default_58: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_55, [1, 1, 12, -1, 2]);  aten_view_copy_default_55 = None
2025-03-21T20:26:23.0635534Z             aten_slice_copy_tensor_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_58, 4, 0, 1)
2025-03-21T20:26:23.0636088Z             aten_slice_copy_tensor_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_58, 4, 1, 2);  aten_view_copy_default_58 = None
2025-03-21T20:26:23.0636616Z             aten_squeeze_copy_dims_38: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_14, [4]);  aten_slice_copy_tensor_14 = None
2025-03-21T20:26:23.0637157Z             aten_squeeze_copy_dims_39: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_15, [4]);  aten_slice_copy_tensor_15 = None
2025-03-21T20:26:23.0637255Z             
2025-03-21T20:26:23.0637717Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0638154Z             aten_view_copy_default_59: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.0638250Z             
2025-03-21T20:26:23.0638701Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0639118Z             aten_view_copy_default_60: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.0639221Z             
2025-03-21T20:26:23.0639709Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.0640158Z             aten_mul_tensor_47: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_36, aten_view_copy_default_59)
2025-03-21T20:26:23.0640592Z             aten_mul_tensor_48: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_37, aten_view_copy_default_60)
2025-03-21T20:26:23.0641144Z             aten_sub_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_47, aten_mul_tensor_48);  aten_mul_tensor_47 = aten_mul_tensor_48 = None
2025-03-21T20:26:23.0641234Z             
2025-03-21T20:26:23.0641727Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.0642319Z             aten_mul_tensor_49: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_36, aten_view_copy_default_60);  aten_squeeze_copy_dims_36 = None
2025-03-21T20:26:23.0642899Z             aten_mul_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_37, aten_view_copy_default_59);  aten_squeeze_copy_dims_37 = None
2025-03-21T20:26:23.0643437Z             aten_add_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_49, aten_mul_tensor_50);  aten_mul_tensor_49 = aten_mul_tensor_50 = None
2025-03-21T20:26:23.0643529Z             
2025-03-21T20:26:23.0644020Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.0644457Z             aten_mul_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_38, aten_view_copy_default_59)
2025-03-21T20:26:23.0644911Z             aten_mul_tensor_52: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_39, aten_view_copy_default_60)
2025-03-21T20:26:23.0645450Z             aten_sub_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_51, aten_mul_tensor_52);  aten_mul_tensor_51 = aten_mul_tensor_52 = None
2025-03-21T20:26:23.0645557Z             
2025-03-21T20:26:23.0646032Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.0646688Z             aten_mul_tensor_53: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_38, aten_view_copy_default_60);  aten_squeeze_copy_dims_38 = aten_view_copy_default_60 = None
2025-03-21T20:26:23.0647330Z             aten_mul_tensor_54: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_39, aten_view_copy_default_59);  aten_squeeze_copy_dims_39 = aten_view_copy_default_59 = None
2025-03-21T20:26:23.0647879Z             aten_add_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_53, aten_mul_tensor_54);  aten_mul_tensor_53 = aten_mul_tensor_54 = None
2025-03-21T20:26:23.0648021Z             
2025-03-21T20:26:23.0648565Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0649087Z             aten_unsqueeze_copy_default_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_6, 4);  aten_sub_tensor_6 = None
2025-03-21T20:26:23.0649620Z             aten_unsqueeze_copy_default_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_15, 4);  aten_add_tensor_15 = None
2025-03-21T20:26:23.0650377Z             aten_cat_default_12: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_36, aten_unsqueeze_copy_default_37], -1);  aten_unsqueeze_copy_default_36 = aten_unsqueeze_copy_default_37 = None
2025-03-21T20:26:23.0650908Z             aten_view_copy_default_61: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_12, [1, 1, 12, 64]);  aten_cat_default_12 = None
2025-03-21T20:26:23.0651000Z             
2025-03-21T20:26:23.0651527Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0652057Z             aten_unsqueeze_copy_default_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_7, 4);  aten_sub_tensor_7 = None
2025-03-21T20:26:23.0652580Z             aten_unsqueeze_copy_default_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_16, 4);  aten_add_tensor_16 = None
2025-03-21T20:26:23.0653406Z             aten_cat_default_13: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_38, aten_unsqueeze_copy_default_39], -1);  aten_unsqueeze_copy_default_38 = aten_unsqueeze_copy_default_39 = None
2025-03-21T20:26:23.0653924Z             aten_view_copy_default_62: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_13, [1, 1, 12, 64]);  aten_cat_default_13 = None
2025-03-21T20:26:23.0654028Z             
2025-03-21T20:26:23.0654567Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.0655166Z             aten_permute_copy_default_129: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_61, [0, 2, 1, 3]);  aten_view_copy_default_61 = None
2025-03-21T20:26:23.0655261Z             
2025-03-21T20:26:23.0655961Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.0656748Z             aten_index_put_default_6: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_3_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_62);  aten_view_copy_default_62 = None
2025-03-21T20:26:23.0656853Z             
2025-03-21T20:26:23.0657525Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.0658321Z             aten_index_put_default_7: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_3_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_56);  aten_view_copy_default_56 = None
2025-03-21T20:26:23.0658415Z             
2025-03-21T20:26:23.0659073Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0659579Z             aten_permute_copy_default_130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0660136Z             aten_select_copy_int_144: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_130, 0, 0);  aten_permute_copy_default_130 = None
2025-03-21T20:26:23.0660660Z             aten_select_copy_int_145: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_144, 0, 0);  aten_select_copy_int_144 = None
2025-03-21T20:26:23.0661135Z             aten_permute_copy_default_131: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0661787Z             aten_select_copy_int_146: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_131, 0, 0);  aten_permute_copy_default_131 = None
2025-03-21T20:26:23.0662299Z             aten_select_copy_int_147: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_146, 0, 1);  aten_select_copy_int_146 = None
2025-03-21T20:26:23.0662788Z             aten_permute_copy_default_132: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0663339Z             aten_select_copy_int_148: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_132, 0, 0);  aten_permute_copy_default_132 = None
2025-03-21T20:26:23.0663954Z             aten_select_copy_int_149: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_148, 0, 2);  aten_select_copy_int_148 = None
2025-03-21T20:26:23.0664429Z             aten_permute_copy_default_133: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0664994Z             aten_select_copy_int_150: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_133, 0, 0);  aten_permute_copy_default_133 = None
2025-03-21T20:26:23.0665500Z             aten_select_copy_int_151: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_150, 0, 3);  aten_select_copy_int_150 = None
2025-03-21T20:26:23.0665983Z             aten_permute_copy_default_134: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0666538Z             aten_select_copy_int_152: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_134, 0, 0);  aten_permute_copy_default_134 = None
2025-03-21T20:26:23.0667057Z             aten_select_copy_int_153: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_152, 0, 4);  aten_select_copy_int_152 = None
2025-03-21T20:26:23.0667536Z             aten_permute_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0668098Z             aten_select_copy_int_154: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_135, 0, 0);  aten_permute_copy_default_135 = None
2025-03-21T20:26:23.0668603Z             aten_select_copy_int_155: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_154, 0, 5);  aten_select_copy_int_154 = None
2025-03-21T20:26:23.0669097Z             aten_permute_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0669651Z             aten_select_copy_int_156: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_136, 0, 0);  aten_permute_copy_default_136 = None
2025-03-21T20:26:23.0670200Z             aten_select_copy_int_157: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_156, 0, 6);  aten_select_copy_int_156 = None
2025-03-21T20:26:23.0670674Z             aten_permute_copy_default_137: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0671237Z             aten_select_copy_int_158: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_137, 0, 0);  aten_permute_copy_default_137 = None
2025-03-21T20:26:23.0671750Z             aten_select_copy_int_159: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_158, 0, 7);  aten_select_copy_int_158 = None
2025-03-21T20:26:23.0672237Z             aten_permute_copy_default_138: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0672788Z             aten_select_copy_int_160: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_138, 0, 0);  aten_permute_copy_default_138 = None
2025-03-21T20:26:23.0673307Z             aten_select_copy_int_161: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_160, 0, 8);  aten_select_copy_int_160 = None
2025-03-21T20:26:23.0673781Z             aten_permute_copy_default_139: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0674411Z             aten_select_copy_int_162: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_139, 0, 0);  aten_permute_copy_default_139 = None
2025-03-21T20:26:23.0674919Z             aten_select_copy_int_163: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_162, 0, 9);  aten_select_copy_int_162 = None
2025-03-21T20:26:23.0675393Z             aten_permute_copy_default_140: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0676127Z             aten_select_copy_int_164: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_140, 0, 0);  aten_permute_copy_default_140 = None
2025-03-21T20:26:23.0676639Z             aten_select_copy_int_165: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_164, 0, 10);  aten_select_copy_int_164 = None
2025-03-21T20:26:23.0677133Z             aten_permute_copy_default_141: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_6, [0, 2, 1, 3])
2025-03-21T20:26:23.0677682Z             aten_select_copy_int_166: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_141, 0, 0);  aten_permute_copy_default_141 = None
2025-03-21T20:26:23.0678205Z             aten_select_copy_int_167: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_166, 0, 11);  aten_select_copy_int_166 = None
2025-03-21T20:26:23.0680555Z             aten_cat_default_14: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_145, aten_select_copy_int_147, aten_select_copy_int_149, aten_select_copy_int_151, aten_select_copy_int_153, aten_select_copy_int_155, aten_select_copy_int_157, aten_select_copy_int_159, aten_select_copy_int_161, aten_select_copy_int_163, aten_select_copy_int_165, aten_select_copy_int_167]);  aten_select_copy_int_145 = aten_select_copy_int_147 = aten_select_copy_int_149 = aten_select_copy_int_151 = aten_select_copy_int_153 = aten_select_copy_int_155 = aten_select_copy_int_157 = aten_select_copy_int_159 = aten_select_copy_int_161 = aten_select_copy_int_163 = aten_select_copy_int_165 = aten_select_copy_int_167 = None
2025-03-21T20:26:23.0681160Z             aten_view_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_14, [1, 12, 128, 64]);  aten_cat_default_14 = None
2025-03-21T20:26:23.0681268Z             
2025-03-21T20:26:23.0681919Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0682405Z             aten_permute_copy_default_142: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0682958Z             aten_select_copy_int_168: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_142, 0, 0);  aten_permute_copy_default_142 = None
2025-03-21T20:26:23.0683477Z             aten_select_copy_int_169: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_168, 0, 0);  aten_select_copy_int_168 = None
2025-03-21T20:26:23.0683953Z             aten_permute_copy_default_143: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0684503Z             aten_select_copy_int_170: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_143, 0, 0);  aten_permute_copy_default_143 = None
2025-03-21T20:26:23.0685086Z             aten_select_copy_int_171: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_170, 0, 1);  aten_select_copy_int_170 = None
2025-03-21T20:26:23.0685589Z             aten_permute_copy_default_144: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0686156Z             aten_select_copy_int_172: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_144, 0, 0);  aten_permute_copy_default_144 = None
2025-03-21T20:26:23.0686663Z             aten_select_copy_int_173: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_172, 0, 2);  aten_select_copy_int_172 = None
2025-03-21T20:26:23.0687150Z             aten_permute_copy_default_145: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0687701Z             aten_select_copy_int_174: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_145, 0, 0);  aten_permute_copy_default_145 = None
2025-03-21T20:26:23.0688220Z             aten_select_copy_int_175: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_174, 0, 3);  aten_select_copy_int_174 = None
2025-03-21T20:26:23.0688697Z             aten_permute_copy_default_146: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0689261Z             aten_select_copy_int_176: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_146, 0, 0);  aten_permute_copy_default_146 = None
2025-03-21T20:26:23.0689767Z             aten_select_copy_int_177: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_176, 0, 4);  aten_select_copy_int_176 = None
2025-03-21T20:26:23.0690256Z             aten_permute_copy_default_147: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0690809Z             aten_select_copy_int_178: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_147, 0, 0);  aten_permute_copy_default_147 = None
2025-03-21T20:26:23.0691350Z             aten_select_copy_int_179: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_178, 0, 5);  aten_select_copy_int_178 = None
2025-03-21T20:26:23.0691824Z             aten_permute_copy_default_148: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0692388Z             aten_select_copy_int_180: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_148, 0, 0);  aten_permute_copy_default_148 = None
2025-03-21T20:26:23.0692896Z             aten_select_copy_int_181: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_180, 0, 6);  aten_select_copy_int_180 = None
2025-03-21T20:26:23.0693382Z             aten_permute_copy_default_149: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0693929Z             aten_select_copy_int_182: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_149, 0, 0);  aten_permute_copy_default_149 = None
2025-03-21T20:26:23.0694446Z             aten_select_copy_int_183: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_182, 0, 7);  aten_select_copy_int_182 = None
2025-03-21T20:26:23.0694921Z             aten_permute_copy_default_150: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0695525Z             aten_select_copy_int_184: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_150, 0, 0);  aten_permute_copy_default_150 = None
2025-03-21T20:26:23.0696056Z             aten_select_copy_int_185: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_184, 0, 8);  aten_select_copy_int_184 = None
2025-03-21T20:26:23.0696542Z             aten_permute_copy_default_151: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0697093Z             aten_select_copy_int_186: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_151, 0, 0);  aten_permute_copy_default_151 = None
2025-03-21T20:26:23.0697609Z             aten_select_copy_int_187: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_186, 0, 9);  aten_select_copy_int_186 = None
2025-03-21T20:26:23.0698086Z             aten_permute_copy_default_152: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0698653Z             aten_select_copy_int_188: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_152, 0, 0);  aten_permute_copy_default_152 = None
2025-03-21T20:26:23.0699164Z             aten_select_copy_int_189: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_188, 0, 10);  aten_select_copy_int_188 = None
2025-03-21T20:26:23.0699636Z             aten_permute_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_7, [0, 2, 1, 3])
2025-03-21T20:26:23.0700200Z             aten_select_copy_int_190: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_153, 0, 0);  aten_permute_copy_default_153 = None
2025-03-21T20:26:23.0700716Z             aten_select_copy_int_191: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_190, 0, 11);  aten_select_copy_int_190 = None
2025-03-21T20:26:23.0703126Z             aten_cat_default_15: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_169, aten_select_copy_int_171, aten_select_copy_int_173, aten_select_copy_int_175, aten_select_copy_int_177, aten_select_copy_int_179, aten_select_copy_int_181, aten_select_copy_int_183, aten_select_copy_int_185, aten_select_copy_int_187, aten_select_copy_int_189, aten_select_copy_int_191]);  aten_select_copy_int_169 = aten_select_copy_int_171 = aten_select_copy_int_173 = aten_select_copy_int_175 = aten_select_copy_int_177 = aten_select_copy_int_179 = aten_select_copy_int_181 = aten_select_copy_int_183 = aten_select_copy_int_185 = aten_select_copy_int_187 = aten_select_copy_int_189 = aten_select_copy_int_191 = None
2025-03-21T20:26:23.0703740Z             aten_view_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_15, [1, 12, 128, 64]);  aten_cat_default_15 = None
2025-03-21T20:26:23.0703841Z             
2025-03-21T20:26:23.0704355Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.0704932Z             aten_index_tensor_5: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_3_attention_mask, [attn_options_input_pos]);  b_layers_3_attention_mask = None
2025-03-21T20:26:23.0705036Z             
2025-03-21T20:26:23.0705615Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.0706212Z             aten_permute_copy_default_154: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_63, [0, 1, 3, 2]);  aten_view_copy_default_63 = None
2025-03-21T20:26:23.0706901Z             aten_expand_copy_default_12: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_129, [1, 12, 1, 64]);  aten_permute_copy_default_129 = None
2025-03-21T20:26:23.0707468Z             aten_view_copy_default_65: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_12, [12, 1, 64]);  aten_expand_copy_default_12 = None
2025-03-21T20:26:23.0708095Z             aten_expand_copy_default_13: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_154, [1, 12, 64, 128]);  aten_permute_copy_default_154 = None
2025-03-21T20:26:23.0708665Z             aten_view_copy_default_66: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_13, [12, 64, 128]);  aten_expand_copy_default_13 = None
2025-03-21T20:26:23.0709337Z             aten_bmm_default_6: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_65, aten_view_copy_default_66);  aten_view_copy_default_65 = aten_view_copy_default_66 = None
2025-03-21T20:26:23.0709859Z             aten_view_copy_default_67: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_6, [1, 12, 1, 128]);  aten_bmm_default_6 = None
2025-03-21T20:26:23.0710529Z             aten_mul_tensor_55: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_67, _lifted_tensor_constant41);  aten_view_copy_default_67 = _lifted_tensor_constant41 = None
2025-03-21T20:26:23.0710622Z             
2025-03-21T20:26:23.0711127Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.0711684Z             aten_add_tensor_17: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_55, aten_index_tensor_5);  aten_mul_tensor_55 = aten_index_tensor_5 = None
2025-03-21T20:26:23.0711794Z             
2025-03-21T20:26:23.0712363Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.0712910Z             aten__softmax_default_3: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_17, -1, False);  aten_add_tensor_17 = None
2025-03-21T20:26:23.0713002Z             
2025-03-21T20:26:23.0713478Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.0714052Z             aten_expand_copy_default_14: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_3, [1, 12, 1, 128]);  aten__softmax_default_3 = None
2025-03-21T20:26:23.0714622Z             aten_view_copy_default_68: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_14, [12, 1, 128]);  aten_expand_copy_default_14 = None
2025-03-21T20:26:23.0715228Z             aten_expand_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_64, [1, 12, 128, 64]);  aten_view_copy_default_64 = None
2025-03-21T20:26:23.0715800Z             aten_view_copy_default_69: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_15, [12, 128, 64]);  aten_expand_copy_default_15 = None
2025-03-21T20:26:23.0716460Z             aten_bmm_default_7: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_68, aten_view_copy_default_69);  aten_view_copy_default_68 = aten_view_copy_default_69 = None
2025-03-21T20:26:23.0716969Z             aten_view_copy_default_70: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_7, [1, 12, 1, 64]);  aten_bmm_default_7 = None
2025-03-21T20:26:23.0717155Z             
2025-03-21T20:26:23.0717785Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.0718385Z             aten_permute_copy_default_155: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_70, [0, 2, 1, 3]);  aten_view_copy_default_70 = None
2025-03-21T20:26:23.0718960Z             aten_view_copy_default_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_155, [1, 1, 768]);  aten_permute_copy_default_155 = None
2025-03-21T20:26:23.0719063Z             
2025-03-21T20:26:23.0719591Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0720188Z             aten_unsqueeze_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_71, -1);  aten_view_copy_default_71 = None
2025-03-21T20:26:23.0720280Z             
2025-03-21T20:26:23.0720703Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0721331Z             aten_permute_copy_default_156: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_40, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_40 = None
2025-03-21T20:26:23.0721436Z             
2025-03-21T20:26:23.0721808Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0722744Z             aten_convolution_default_24: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_156, p_layers_3_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_156 = p_layers_3_attention_wo_conv_weight = None
2025-03-21T20:26:23.0722851Z             
2025-03-21T20:26:23.0723274Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0723922Z             aten_permute_copy_default_157: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_24, [0, 2, 1, 3]);  aten_convolution_default_24 = None
2025-03-21T20:26:23.0724014Z             
2025-03-21T20:26:23.0724572Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0725142Z             aten_squeeze_copy_dims_40: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_157, [-1]);  aten_permute_copy_default_157 = None
2025-03-21T20:26:23.0725247Z             
2025-03-21T20:26:23.0725626Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.0726228Z             aten_add_tensor_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_14, aten_squeeze_copy_dims_40);  aten_add_tensor_14 = aten_squeeze_copy_dims_40 = None
2025-03-21T20:26:23.0726321Z             
2025-03-21T20:26:23.0726831Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0727225Z             aten_pow_tensor_scalar_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_18, 2)
2025-03-21T20:26:23.0727681Z             aten_mean_dim_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_7, [2], True);  aten_pow_tensor_scalar_7 = None
2025-03-21T20:26:23.0728213Z             aten_add_scalar_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_7, 9.999999747378752e-06);  aten_mean_dim_7 = None
2025-03-21T20:26:23.0728634Z             aten_rsqrt_default_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_7);  aten_add_scalar_7 = None
2025-03-21T20:26:23.0729138Z             aten_mul_tensor_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_18, aten_rsqrt_default_7);  aten_rsqrt_default_7 = None
2025-03-21T20:26:23.0729736Z             aten_mul_tensor_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_56, p_layers_3_ffn_norm_weight);  aten_mul_tensor_56 = p_layers_3_ffn_norm_weight = None
2025-03-21T20:26:23.0729835Z             
2025-03-21T20:26:23.0730359Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0730804Z             aten_unsqueeze_copy_default_41: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_57, -1)
2025-03-21T20:26:23.0730893Z             
2025-03-21T20:26:23.0731312Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0731938Z             aten_permute_copy_default_158: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_41, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_41 = None
2025-03-21T20:26:23.0732028Z             
2025-03-21T20:26:23.0732405Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0733350Z             aten_convolution_default_25: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_158, p_layers_3_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_158 = p_layers_3_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.0733455Z             
2025-03-21T20:26:23.0733878Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0734532Z             aten_permute_copy_default_159: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_25, [0, 2, 1, 3]);  aten_convolution_default_25 = None
2025-03-21T20:26:23.0734623Z             
2025-03-21T20:26:23.0735178Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0735748Z             aten_squeeze_copy_dims_41: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_159, [-1]);  aten_permute_copy_default_159 = None
2025-03-21T20:26:23.0735850Z             
2025-03-21T20:26:23.0736373Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0736764Z             aten_sigmoid_default_3: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_41)
2025-03-21T20:26:23.0737411Z             aten_mul_tensor_58: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_41, aten_sigmoid_default_3);  aten_squeeze_copy_dims_41 = aten_sigmoid_default_3 = None
2025-03-21T20:26:23.0737500Z             
2025-03-21T20:26:23.0738034Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0738566Z             aten_unsqueeze_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_57, -1);  aten_mul_tensor_57 = None
2025-03-21T20:26:23.0738748Z             
2025-03-21T20:26:23.0739159Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0739799Z             aten_permute_copy_default_160: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_42, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_42 = None
2025-03-21T20:26:23.0739890Z             
2025-03-21T20:26:23.0740269Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0741208Z             aten_convolution_default_26: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_160, p_layers_3_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_160 = p_layers_3_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.0741390Z             
2025-03-21T20:26:23.0741820Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0742436Z             aten_permute_copy_default_161: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_26, [0, 2, 1, 3]);  aten_convolution_default_26 = None
2025-03-21T20:26:23.0742541Z             
2025-03-21T20:26:23.0743080Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0743667Z             aten_squeeze_copy_dims_42: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_161, [-1]);  aten_permute_copy_default_161 = None
2025-03-21T20:26:23.0743757Z             
2025-03-21T20:26:23.0744295Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0744896Z             aten_mul_tensor_59: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_58, aten_squeeze_copy_dims_42);  aten_mul_tensor_58 = aten_squeeze_copy_dims_42 = None
2025-03-21T20:26:23.0745031Z             
2025-03-21T20:26:23.0745554Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0746100Z             aten_unsqueeze_copy_default_43: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_59, -1);  aten_mul_tensor_59 = None
2025-03-21T20:26:23.0746191Z             
2025-03-21T20:26:23.0746597Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0747240Z             aten_permute_copy_default_162: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_43, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_43 = None
2025-03-21T20:26:23.0747333Z             
2025-03-21T20:26:23.0747711Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0748646Z             aten_convolution_default_27: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_162, p_layers_3_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_162 = p_layers_3_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.0748748Z             
2025-03-21T20:26:23.0749171Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0749835Z             aten_permute_copy_default_163: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_27, [0, 2, 1, 3]);  aten_convolution_default_27 = None
2025-03-21T20:26:23.0749948Z             
2025-03-21T20:26:23.0750498Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0751062Z             aten_squeeze_copy_dims_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_163, [-1]);  aten_permute_copy_default_163 = None
2025-03-21T20:26:23.0751152Z             
2025-03-21T20:26:23.0751671Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0752262Z             aten_add_tensor_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_18, aten_squeeze_copy_dims_43);  aten_add_tensor_18 = aten_squeeze_copy_dims_43 = None
2025-03-21T20:26:23.0752363Z             
2025-03-21T20:26:23.0752933Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.0753330Z             aten_pow_tensor_scalar_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_19, 2)
2025-03-21T20:26:23.0753788Z             aten_mean_dim_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_8, [2], True);  aten_pow_tensor_scalar_8 = None
2025-03-21T20:26:23.0754249Z             aten_add_scalar_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_8, 9.999999747378752e-06);  aten_mean_dim_8 = None
2025-03-21T20:26:23.0754672Z             aten_rsqrt_default_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_8);  aten_add_scalar_8 = None
2025-03-21T20:26:23.0755179Z             aten_mul_tensor_60: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_19, aten_rsqrt_default_8);  aten_rsqrt_default_8 = None
2025-03-21T20:26:23.0755826Z             aten_mul_tensor_61: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_60, p_layers_4_attention_norm_weight);  aten_mul_tensor_60 = p_layers_4_attention_norm_weight = None
2025-03-21T20:26:23.0755952Z             
2025-03-21T20:26:23.0756477Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0756919Z             aten_unsqueeze_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_61, -1)
2025-03-21T20:26:23.0757011Z             
2025-03-21T20:26:23.0757417Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0758060Z             aten_permute_copy_default_164: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_44, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_44 = None
2025-03-21T20:26:23.0758153Z             
2025-03-21T20:26:23.0758533Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0759455Z             aten_convolution_default_28: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_164, p_layers_4_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_164 = p_layers_4_attention_wq_conv_weight = None
2025-03-21T20:26:23.0759560Z             
2025-03-21T20:26:23.0759987Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0760653Z             aten_permute_copy_default_165: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_28, [0, 2, 1, 3]);  aten_convolution_default_28 = None
2025-03-21T20:26:23.0760768Z             
2025-03-21T20:26:23.0761323Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0761890Z             aten_squeeze_copy_dims_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_165, [-1]);  aten_permute_copy_default_165 = None
2025-03-21T20:26:23.0761982Z             
2025-03-21T20:26:23.0762515Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0762946Z             aten_unsqueeze_copy_default_45: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_61, -1)
2025-03-21T20:26:23.0763050Z             
2025-03-21T20:26:23.0763455Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0764095Z             aten_permute_copy_default_166: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_45, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_45 = None
2025-03-21T20:26:23.0764186Z             
2025-03-21T20:26:23.0764561Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0765481Z             aten_convolution_default_29: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_166, p_layers_4_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_166 = p_layers_4_attention_wk_conv_weight = None
2025-03-21T20:26:23.0765584Z             
2025-03-21T20:26:23.0766009Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0766617Z             aten_permute_copy_default_167: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_29, [0, 2, 1, 3]);  aten_convolution_default_29 = None
2025-03-21T20:26:23.0766743Z             
2025-03-21T20:26:23.0767280Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0767856Z             aten_squeeze_copy_dims_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_167, [-1]);  aten_permute_copy_default_167 = None
2025-03-21T20:26:23.0767946Z             
2025-03-21T20:26:23.0768480Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0769010Z             aten_unsqueeze_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_61, -1);  aten_mul_tensor_61 = None
2025-03-21T20:26:23.0769112Z             
2025-03-21T20:26:23.0769515Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0770149Z             aten_permute_copy_default_168: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_46, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_46 = None
2025-03-21T20:26:23.0770239Z             
2025-03-21T20:26:23.0770603Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0771577Z             aten_convolution_default_30: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_168, p_layers_4_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_168 = p_layers_4_attention_wv_conv_weight = None
2025-03-21T20:26:23.0771691Z             
2025-03-21T20:26:23.0772127Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0772738Z             aten_permute_copy_default_169: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_30, [0, 2, 1, 3]);  aten_convolution_default_30 = None
2025-03-21T20:26:23.0772840Z             
2025-03-21T20:26:23.0773382Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0773960Z             aten_squeeze_copy_dims_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_169, [-1]);  aten_permute_copy_default_169 = None
2025-03-21T20:26:23.0774053Z             
2025-03-21T20:26:23.0774588Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.0775143Z             aten_view_copy_default_72: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_44, [1, 1, 12, 64]);  aten_squeeze_copy_dims_44 = None
2025-03-21T20:26:23.0775235Z             
2025-03-21T20:26:23.0775950Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0776527Z             aten_view_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_45, [1, 1, 12, 64]);  aten_squeeze_copy_dims_45 = None
2025-03-21T20:26:23.0776622Z             
2025-03-21T20:26:23.0777160Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0777713Z             aten_view_copy_default_74: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_46, [1, 1, 12, 64]);  aten_squeeze_copy_dims_46 = None
2025-03-21T20:26:23.0777874Z             
2025-03-21T20:26:23.0778410Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0778974Z             aten_view_copy_default_75: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_72, [1, 1, 12, -1, 2]);  aten_view_copy_default_72 = None
2025-03-21T20:26:23.0779419Z             aten_slice_copy_tensor_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_75, 4, 0, 1)
2025-03-21T20:26:23.0779957Z             aten_slice_copy_tensor_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_75, 4, 1, 2);  aten_view_copy_default_75 = None
2025-03-21T20:26:23.0780499Z             aten_squeeze_copy_dims_47: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_16, [4]);  aten_slice_copy_tensor_16 = None
2025-03-21T20:26:23.0781023Z             aten_squeeze_copy_dims_48: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_17, [4]);  aten_slice_copy_tensor_17 = None
2025-03-21T20:26:23.0781127Z             
2025-03-21T20:26:23.0781717Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0782372Z             aten_view_copy_default_76: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_73, [1, 1, 12, -1, 2]);  aten_view_copy_default_73 = None
2025-03-21T20:26:23.0782829Z             aten_slice_copy_tensor_18: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_76, 4, 0, 1)
2025-03-21T20:26:23.0783378Z             aten_slice_copy_tensor_19: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_76, 4, 1, 2);  aten_view_copy_default_76 = None
2025-03-21T20:26:23.0783904Z             aten_squeeze_copy_dims_49: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_18, [4]);  aten_slice_copy_tensor_18 = None
2025-03-21T20:26:23.0784438Z             aten_squeeze_copy_dims_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_19, [4]);  aten_slice_copy_tensor_19 = None
2025-03-21T20:26:23.0784533Z             
2025-03-21T20:26:23.0784993Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0785404Z             aten_view_copy_default_77: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.0785513Z             
2025-03-21T20:26:23.0785957Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0786373Z             aten_view_copy_default_78: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.0786472Z             
2025-03-21T20:26:23.0786950Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.0787401Z             aten_mul_tensor_62: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_47, aten_view_copy_default_77)
2025-03-21T20:26:23.0787831Z             aten_mul_tensor_63: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_48, aten_view_copy_default_78)
2025-03-21T20:26:23.0788414Z             aten_sub_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_62, aten_mul_tensor_63);  aten_mul_tensor_62 = aten_mul_tensor_63 = None
2025-03-21T20:26:23.0788504Z             
2025-03-21T20:26:23.0788994Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.0789544Z             aten_mul_tensor_64: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_47, aten_view_copy_default_78);  aten_squeeze_copy_dims_47 = None
2025-03-21T20:26:23.0790104Z             aten_mul_tensor_65: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_48, aten_view_copy_default_77);  aten_squeeze_copy_dims_48 = None
2025-03-21T20:26:23.0790642Z             aten_add_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_64, aten_mul_tensor_65);  aten_mul_tensor_64 = aten_mul_tensor_65 = None
2025-03-21T20:26:23.0790747Z             
2025-03-21T20:26:23.0791222Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.0791669Z             aten_mul_tensor_66: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_49, aten_view_copy_default_77)
2025-03-21T20:26:23.0792102Z             aten_mul_tensor_67: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_50, aten_view_copy_default_78)
2025-03-21T20:26:23.0792720Z             aten_sub_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_66, aten_mul_tensor_67);  aten_mul_tensor_66 = aten_mul_tensor_67 = None
2025-03-21T20:26:23.0792810Z             
2025-03-21T20:26:23.0793296Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.0793941Z             aten_mul_tensor_68: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_49, aten_view_copy_default_78);  aten_squeeze_copy_dims_49 = aten_view_copy_default_78 = None
2025-03-21T20:26:23.0794592Z             aten_mul_tensor_69: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_50, aten_view_copy_default_77);  aten_squeeze_copy_dims_50 = aten_view_copy_default_77 = None
2025-03-21T20:26:23.0795134Z             aten_add_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_68, aten_mul_tensor_69);  aten_mul_tensor_68 = aten_mul_tensor_69 = None
2025-03-21T20:26:23.0795225Z             
2025-03-21T20:26:23.0795768Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0796289Z             aten_unsqueeze_copy_default_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_8, 4);  aten_sub_tensor_8 = None
2025-03-21T20:26:23.0796822Z             aten_unsqueeze_copy_default_48: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_20, 4);  aten_add_tensor_20 = None
2025-03-21T20:26:23.0797573Z             aten_cat_default_16: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_47, aten_unsqueeze_copy_default_48], -1);  aten_unsqueeze_copy_default_47 = aten_unsqueeze_copy_default_48 = None
2025-03-21T20:26:23.0798099Z             aten_view_copy_default_79: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_16, [1, 1, 12, 64]);  aten_cat_default_16 = None
2025-03-21T20:26:23.0798216Z             
2025-03-21T20:26:23.0798751Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0799268Z             aten_unsqueeze_copy_default_49: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_9, 4);  aten_sub_tensor_9 = None
2025-03-21T20:26:23.0799790Z             aten_unsqueeze_copy_default_50: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_21, 4);  aten_add_tensor_21 = None
2025-03-21T20:26:23.0800545Z             aten_cat_default_17: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_49, aten_unsqueeze_copy_default_50], -1);  aten_unsqueeze_copy_default_49 = aten_unsqueeze_copy_default_50 = None
2025-03-21T20:26:23.0801067Z             aten_view_copy_default_80: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_17, [1, 1, 12, 64]);  aten_cat_default_17 = None
2025-03-21T20:26:23.0801160Z             
2025-03-21T20:26:23.0801699Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.0802286Z             aten_permute_copy_default_170: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_79, [0, 2, 1, 3]);  aten_view_copy_default_79 = None
2025-03-21T20:26:23.0802383Z             
2025-03-21T20:26:23.0803102Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.0803921Z             aten_index_put_default_8: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_4_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_80);  aten_view_copy_default_80 = None
2025-03-21T20:26:23.0804015Z             
2025-03-21T20:26:23.0804686Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.0805476Z             aten_index_put_default_9: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_4_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_74);  aten_view_copy_default_74 = None
2025-03-21T20:26:23.0805569Z             
2025-03-21T20:26:23.0806227Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0806701Z             aten_permute_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0807263Z             aten_select_copy_int_192: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_171, 0, 0);  aten_permute_copy_default_171 = None
2025-03-21T20:26:23.0807770Z             aten_select_copy_int_193: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_192, 0, 0);  aten_select_copy_int_192 = None
2025-03-21T20:26:23.0808254Z             aten_permute_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0808810Z             aten_select_copy_int_194: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_172, 0, 0);  aten_permute_copy_default_172 = None
2025-03-21T20:26:23.0809323Z             aten_select_copy_int_195: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_194, 0, 1);  aten_select_copy_int_194 = None
2025-03-21T20:26:23.0809820Z             aten_permute_copy_default_173: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0810373Z             aten_select_copy_int_196: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_173, 0, 0);  aten_permute_copy_default_173 = None
2025-03-21T20:26:23.0810878Z             aten_select_copy_int_197: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_196, 0, 2);  aten_select_copy_int_196 = None
2025-03-21T20:26:23.0811364Z             aten_permute_copy_default_174: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0811908Z             aten_select_copy_int_198: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_174, 0, 0);  aten_permute_copy_default_174 = None
2025-03-21T20:26:23.0812424Z             aten_select_copy_int_199: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_198, 0, 3);  aten_select_copy_int_198 = None
2025-03-21T20:26:23.0812893Z             aten_permute_copy_default_175: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0813454Z             aten_select_copy_int_200: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_175, 0, 0);  aten_permute_copy_default_175 = None
2025-03-21T20:26:23.0814053Z             aten_select_copy_int_201: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_200, 0, 4);  aten_select_copy_int_200 = None
2025-03-21T20:26:23.0814531Z             aten_permute_copy_default_176: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0815075Z             aten_select_copy_int_202: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_176, 0, 0);  aten_permute_copy_default_176 = None
2025-03-21T20:26:23.0815590Z             aten_select_copy_int_203: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_202, 0, 5);  aten_select_copy_int_202 = None
2025-03-21T20:26:23.0816057Z             aten_permute_copy_default_177: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0816615Z             aten_select_copy_int_204: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_177, 0, 0);  aten_permute_copy_default_177 = None
2025-03-21T20:26:23.0817124Z             aten_select_copy_int_205: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_204, 0, 6);  aten_select_copy_int_204 = None
2025-03-21T20:26:23.0817588Z             aten_permute_copy_default_178: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0818148Z             aten_select_copy_int_206: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_178, 0, 0);  aten_permute_copy_default_178 = None
2025-03-21T20:26:23.0818646Z             aten_select_copy_int_207: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_206, 0, 7);  aten_select_copy_int_206 = None
2025-03-21T20:26:23.0819134Z             aten_permute_copy_default_179: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0819706Z             aten_select_copy_int_208: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_179, 0, 0);  aten_permute_copy_default_179 = None
2025-03-21T20:26:23.0820220Z             aten_select_copy_int_209: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_208, 0, 8);  aten_select_copy_int_208 = None
2025-03-21T20:26:23.0820686Z             aten_permute_copy_default_180: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0821303Z             aten_select_copy_int_210: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_180, 0, 0);  aten_permute_copy_default_180 = None
2025-03-21T20:26:23.0821816Z             aten_select_copy_int_211: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_210, 0, 9);  aten_select_copy_int_210 = None
2025-03-21T20:26:23.0822299Z             aten_permute_copy_default_181: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0822847Z             aten_select_copy_int_212: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_181, 0, 0);  aten_permute_copy_default_181 = None
2025-03-21T20:26:23.0823362Z             aten_select_copy_int_213: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_212, 0, 10);  aten_select_copy_int_212 = None
2025-03-21T20:26:23.0823831Z             aten_permute_copy_default_182: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_8, [0, 2, 1, 3])
2025-03-21T20:26:23.0824474Z             aten_select_copy_int_214: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_182, 0, 0);  aten_permute_copy_default_182 = None
2025-03-21T20:26:23.0824987Z             aten_select_copy_int_215: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_214, 0, 11);  aten_select_copy_int_214 = None
2025-03-21T20:26:23.0827325Z             aten_cat_default_18: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_193, aten_select_copy_int_195, aten_select_copy_int_197, aten_select_copy_int_199, aten_select_copy_int_201, aten_select_copy_int_203, aten_select_copy_int_205, aten_select_copy_int_207, aten_select_copy_int_209, aten_select_copy_int_211, aten_select_copy_int_213, aten_select_copy_int_215]);  aten_select_copy_int_193 = aten_select_copy_int_195 = aten_select_copy_int_197 = aten_select_copy_int_199 = aten_select_copy_int_201 = aten_select_copy_int_203 = aten_select_copy_int_205 = aten_select_copy_int_207 = aten_select_copy_int_209 = aten_select_copy_int_211 = aten_select_copy_int_213 = aten_select_copy_int_215 = None
2025-03-21T20:26:23.0827867Z             aten_view_copy_default_81: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_18, [1, 12, 128, 64]);  aten_cat_default_18 = None
2025-03-21T20:26:23.0827954Z             
2025-03-21T20:26:23.0828595Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0829076Z             aten_permute_copy_default_183: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0829630Z             aten_select_copy_int_216: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_183, 0, 0);  aten_permute_copy_default_183 = None
2025-03-21T20:26:23.0830145Z             aten_select_copy_int_217: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_216, 0, 0);  aten_select_copy_int_216 = None
2025-03-21T20:26:23.0830643Z             aten_permute_copy_default_184: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0831196Z             aten_select_copy_int_218: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_184, 0, 0);  aten_permute_copy_default_184 = None
2025-03-21T20:26:23.0831701Z             aten_select_copy_int_219: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_218, 0, 1);  aten_select_copy_int_218 = None
2025-03-21T20:26:23.0832177Z             aten_permute_copy_default_185: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0832727Z             aten_select_copy_int_220: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_185, 0, 0);  aten_permute_copy_default_185 = None
2025-03-21T20:26:23.0833240Z             aten_select_copy_int_221: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_220, 0, 2);  aten_select_copy_int_220 = None
2025-03-21T20:26:23.0833709Z             aten_permute_copy_default_186: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0834258Z             aten_select_copy_int_222: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_186, 0, 0);  aten_permute_copy_default_186 = None
2025-03-21T20:26:23.0834809Z             aten_select_copy_int_223: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_222, 0, 3);  aten_select_copy_int_222 = None
2025-03-21T20:26:23.0835315Z             aten_permute_copy_default_187: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0835865Z             aten_select_copy_int_224: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_187, 0, 0);  aten_permute_copy_default_187 = None
2025-03-21T20:26:23.0836377Z             aten_select_copy_int_225: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_224, 0, 4);  aten_select_copy_int_224 = None
2025-03-21T20:26:23.0836844Z             aten_permute_copy_default_188: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0837410Z             aten_select_copy_int_226: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_188, 0, 0);  aten_permute_copy_default_188 = None
2025-03-21T20:26:23.0837912Z             aten_select_copy_int_227: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_226, 0, 5);  aten_select_copy_int_226 = None
2025-03-21T20:26:23.0838394Z             aten_permute_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0838941Z             aten_select_copy_int_228: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_189, 0, 0);  aten_permute_copy_default_189 = None
2025-03-21T20:26:23.0839456Z             aten_select_copy_int_229: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_228, 0, 6);  aten_select_copy_int_228 = None
2025-03-21T20:26:23.0839929Z             aten_permute_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0840491Z             aten_select_copy_int_230: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_190, 0, 0);  aten_permute_copy_default_190 = None
2025-03-21T20:26:23.0841016Z             aten_select_copy_int_231: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_230, 0, 7);  aten_select_copy_int_230 = None
2025-03-21T20:26:23.0841485Z             aten_permute_copy_default_191: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0842039Z             aten_select_copy_int_232: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_191, 0, 0);  aten_permute_copy_default_191 = None
2025-03-21T20:26:23.0842548Z             aten_select_copy_int_233: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_232, 0, 8);  aten_select_copy_int_232 = None
2025-03-21T20:26:23.0843029Z             aten_permute_copy_default_192: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0843575Z             aten_select_copy_int_234: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_192, 0, 0);  aten_permute_copy_default_192 = None
2025-03-21T20:26:23.0844087Z             aten_select_copy_int_235: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_234, 0, 9);  aten_select_copy_int_234 = None
2025-03-21T20:26:23.0844553Z             aten_permute_copy_default_193: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0845176Z             aten_select_copy_int_236: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_193, 0, 0);  aten_permute_copy_default_193 = None
2025-03-21T20:26:23.0845687Z             aten_select_copy_int_237: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_236, 0, 10);  aten_select_copy_int_236 = None
2025-03-21T20:26:23.0846165Z             aten_permute_copy_default_194: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_9, [0, 2, 1, 3])
2025-03-21T20:26:23.0846709Z             aten_select_copy_int_238: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_194, 0, 0);  aten_permute_copy_default_194 = None
2025-03-21T20:26:23.0847222Z             aten_select_copy_int_239: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_238, 0, 11);  aten_select_copy_int_238 = None
2025-03-21T20:26:23.0849531Z             aten_cat_default_19: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_217, aten_select_copy_int_219, aten_select_copy_int_221, aten_select_copy_int_223, aten_select_copy_int_225, aten_select_copy_int_227, aten_select_copy_int_229, aten_select_copy_int_231, aten_select_copy_int_233, aten_select_copy_int_235, aten_select_copy_int_237, aten_select_copy_int_239]);  aten_select_copy_int_217 = aten_select_copy_int_219 = aten_select_copy_int_221 = aten_select_copy_int_223 = aten_select_copy_int_225 = aten_select_copy_int_227 = aten_select_copy_int_229 = aten_select_copy_int_231 = aten_select_copy_int_233 = aten_select_copy_int_235 = aten_select_copy_int_237 = aten_select_copy_int_239 = None
2025-03-21T20:26:23.0850064Z             aten_view_copy_default_82: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_19, [1, 12, 128, 64]);  aten_cat_default_19 = None
2025-03-21T20:26:23.0850158Z             
2025-03-21T20:26:23.0850668Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.0851237Z             aten_index_tensor_6: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_4_attention_mask, [attn_options_input_pos]);  b_layers_4_attention_mask = None
2025-03-21T20:26:23.0851361Z             
2025-03-21T20:26:23.0851947Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.0852552Z             aten_permute_copy_default_195: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_81, [0, 1, 3, 2]);  aten_view_copy_default_81 = None
2025-03-21T20:26:23.0853156Z             aten_expand_copy_default_16: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_170, [1, 12, 1, 64]);  aten_permute_copy_default_170 = None
2025-03-21T20:26:23.0853724Z             aten_view_copy_default_83: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_16, [12, 1, 64]);  aten_expand_copy_default_16 = None
2025-03-21T20:26:23.0854333Z             aten_expand_copy_default_17: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_195, [1, 12, 64, 128]);  aten_permute_copy_default_195 = None
2025-03-21T20:26:23.0854909Z             aten_view_copy_default_84: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_17, [12, 64, 128]);  aten_expand_copy_default_17 = None
2025-03-21T20:26:23.0855556Z             aten_bmm_default_8: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_83, aten_view_copy_default_84);  aten_view_copy_default_83 = aten_view_copy_default_84 = None
2025-03-21T20:26:23.0856144Z             aten_view_copy_default_85: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_8, [1, 12, 1, 128]);  aten_bmm_default_8 = None
2025-03-21T20:26:23.0856797Z             aten_mul_tensor_70: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_85, _lifted_tensor_constant42);  aten_view_copy_default_85 = _lifted_tensor_constant42 = None
2025-03-21T20:26:23.0856894Z             
2025-03-21T20:26:23.0857386Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.0857949Z             aten_add_tensor_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_70, aten_index_tensor_6);  aten_mul_tensor_70 = aten_index_tensor_6 = None
2025-03-21T20:26:23.0858042Z             
2025-03-21T20:26:23.0858617Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.0859130Z             aten__softmax_default_4: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_22, -1, False);  aten_add_tensor_22 = None
2025-03-21T20:26:23.0859222Z             
2025-03-21T20:26:23.0859694Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.0860267Z             aten_expand_copy_default_18: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_4, [1, 12, 1, 128]);  aten__softmax_default_4 = None
2025-03-21T20:26:23.0860842Z             aten_view_copy_default_86: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_18, [12, 1, 128]);  aten_expand_copy_default_18 = None
2025-03-21T20:26:23.0861736Z             aten_expand_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_82, [1, 12, 128, 64]);  aten_view_copy_default_82 = None
2025-03-21T20:26:23.0862317Z             aten_view_copy_default_87: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_19, [12, 128, 64]);  aten_expand_copy_default_19 = None
2025-03-21T20:26:23.0863011Z             aten_bmm_default_9: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_86, aten_view_copy_default_87);  aten_view_copy_default_86 = aten_view_copy_default_87 = None
2025-03-21T20:26:23.0863529Z             aten_view_copy_default_88: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_9, [1, 12, 1, 64]);  aten_bmm_default_9 = None
2025-03-21T20:26:23.0863619Z             
2025-03-21T20:26:23.0864264Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.0864844Z             aten_permute_copy_default_196: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_88, [0, 2, 1, 3]);  aten_view_copy_default_88 = None
2025-03-21T20:26:23.0865430Z             aten_view_copy_default_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_196, [1, 1, 768]);  aten_permute_copy_default_196 = None
2025-03-21T20:26:23.0865517Z             
2025-03-21T20:26:23.0866053Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0866631Z             aten_unsqueeze_copy_default_51: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_89, -1);  aten_view_copy_default_89 = None
2025-03-21T20:26:23.0866750Z             
2025-03-21T20:26:23.0867210Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0867833Z             aten_permute_copy_default_197: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_51, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_51 = None
2025-03-21T20:26:23.0867939Z             
2025-03-21T20:26:23.0868306Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0869246Z             aten_convolution_default_31: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_197, p_layers_4_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_197 = p_layers_4_attention_wo_conv_weight = None
2025-03-21T20:26:23.0869336Z             
2025-03-21T20:26:23.0869774Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0870382Z             aten_permute_copy_default_198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_31, [0, 2, 1, 3]);  aten_convolution_default_31 = None
2025-03-21T20:26:23.0870487Z             
2025-03-21T20:26:23.0871027Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0871601Z             aten_squeeze_copy_dims_51: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_198, [-1]);  aten_permute_copy_default_198 = None
2025-03-21T20:26:23.0871688Z             
2025-03-21T20:26:23.0872062Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.0872666Z             aten_add_tensor_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_19, aten_squeeze_copy_dims_51);  aten_add_tensor_19 = aten_squeeze_copy_dims_51 = None
2025-03-21T20:26:23.0872793Z             
2025-03-21T20:26:23.0873314Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0873691Z             aten_pow_tensor_scalar_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_23, 2)
2025-03-21T20:26:23.0874156Z             aten_mean_dim_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_9, [2], True);  aten_pow_tensor_scalar_9 = None
2025-03-21T20:26:23.0874601Z             aten_add_scalar_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_9, 9.999999747378752e-06);  aten_mean_dim_9 = None
2025-03-21T20:26:23.0875032Z             aten_rsqrt_default_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_9);  aten_add_scalar_9 = None
2025-03-21T20:26:23.0875520Z             aten_mul_tensor_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_23, aten_rsqrt_default_9);  aten_rsqrt_default_9 = None
2025-03-21T20:26:23.0876441Z             aten_mul_tensor_72: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_71, p_layers_4_ffn_norm_weight);  aten_mul_tensor_71 = p_layers_4_ffn_norm_weight = None
2025-03-21T20:26:23.0876534Z             
2025-03-21T20:26:23.0877068Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0877498Z             aten_unsqueeze_copy_default_52: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_72, -1)
2025-03-21T20:26:23.0877652Z             
2025-03-21T20:26:23.0878136Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0878761Z             aten_permute_copy_default_199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_52, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_52 = None
2025-03-21T20:26:23.0878867Z             
2025-03-21T20:26:23.0879231Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0880184Z             aten_convolution_default_32: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_199, p_layers_4_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_199 = p_layers_4_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.0880272Z             
2025-03-21T20:26:23.0880716Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0881327Z             aten_permute_copy_default_200: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_32, [0, 2, 1, 3]);  aten_convolution_default_32 = None
2025-03-21T20:26:23.0881433Z             
2025-03-21T20:26:23.0881969Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0882536Z             aten_squeeze_copy_dims_52: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_200, [-1]);  aten_permute_copy_default_200 = None
2025-03-21T20:26:23.0882638Z             
2025-03-21T20:26:23.0883154Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0883559Z             aten_sigmoid_default_4: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_52)
2025-03-21T20:26:23.0884186Z             aten_mul_tensor_73: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_52, aten_sigmoid_default_4);  aten_squeeze_copy_dims_52 = aten_sigmoid_default_4 = None
2025-03-21T20:26:23.0884325Z             
2025-03-21T20:26:23.0884847Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0885391Z             aten_unsqueeze_copy_default_53: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_72, -1);  aten_mul_tensor_72 = None
2025-03-21T20:26:23.0885478Z             
2025-03-21T20:26:23.0885901Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0886528Z             aten_permute_copy_default_201: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_53, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_53 = None
2025-03-21T20:26:23.0886617Z             
2025-03-21T20:26:23.0886998Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0887938Z             aten_convolution_default_33: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_201, p_layers_4_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_201 = p_layers_4_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.0888041Z             
2025-03-21T20:26:23.0888459Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0889158Z             aten_permute_copy_default_202: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_33, [0, 2, 1, 3]);  aten_convolution_default_33 = None
2025-03-21T20:26:23.0889250Z             
2025-03-21T20:26:23.0889799Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0890370Z             aten_squeeze_copy_dims_53: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_202, [-1]);  aten_permute_copy_default_202 = None
2025-03-21T20:26:23.0890470Z             
2025-03-21T20:26:23.0890990Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.0891596Z             aten_mul_tensor_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_73, aten_squeeze_copy_dims_53);  aten_mul_tensor_73 = aten_squeeze_copy_dims_53 = None
2025-03-21T20:26:23.0891688Z             
2025-03-21T20:26:23.0892206Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0892747Z             aten_unsqueeze_copy_default_54: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_74, -1);  aten_mul_tensor_74 = None
2025-03-21T20:26:23.0892835Z             
2025-03-21T20:26:23.0893250Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0893877Z             aten_permute_copy_default_203: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_54, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_54 = None
2025-03-21T20:26:23.0893978Z             
2025-03-21T20:26:23.0894346Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0895287Z             aten_convolution_default_34: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_203, p_layers_4_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_203 = p_layers_4_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.0895400Z             
2025-03-21T20:26:23.0895830Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0896441Z             aten_permute_copy_default_204: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_34, [0, 2, 1, 3]);  aten_convolution_default_34 = None
2025-03-21T20:26:23.0896530Z             
2025-03-21T20:26:23.0897088Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0897653Z             aten_squeeze_copy_dims_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_204, [-1]);  aten_permute_copy_default_204 = None
2025-03-21T20:26:23.0897750Z             
2025-03-21T20:26:23.0898260Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.0898858Z             aten_add_tensor_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_23, aten_squeeze_copy_dims_54);  aten_add_tensor_23 = aten_squeeze_copy_dims_54 = None
2025-03-21T20:26:23.0898947Z             
2025-03-21T20:26:23.0899564Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.0899984Z             aten_pow_tensor_scalar_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_24, 2)
2025-03-21T20:26:23.0900458Z             aten_mean_dim_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_10, [2], True);  aten_pow_tensor_scalar_10 = None
2025-03-21T20:26:23.0900912Z             aten_add_scalar_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_10, 9.999999747378752e-06);  aten_mean_dim_10 = None
2025-03-21T20:26:23.0901416Z             aten_rsqrt_default_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_10);  aten_add_scalar_10 = None
2025-03-21T20:26:23.0901910Z             aten_mul_tensor_75: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_24, aten_rsqrt_default_10);  aten_rsqrt_default_10 = None
2025-03-21T20:26:23.0902559Z             aten_mul_tensor_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_75, p_layers_5_attention_norm_weight);  aten_mul_tensor_75 = p_layers_5_attention_norm_weight = None
2025-03-21T20:26:23.0902656Z             
2025-03-21T20:26:23.0903178Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0903614Z             aten_unsqueeze_copy_default_55: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_76, -1)
2025-03-21T20:26:23.0903706Z             
2025-03-21T20:26:23.0904125Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0904753Z             aten_permute_copy_default_205: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_55, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_55 = None
2025-03-21T20:26:23.0904853Z             
2025-03-21T20:26:23.0905215Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0906171Z             aten_convolution_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_205, p_layers_5_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_205 = p_layers_5_attention_wq_conv_weight = None
2025-03-21T20:26:23.0906259Z             
2025-03-21T20:26:23.0906681Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0907297Z             aten_permute_copy_default_206: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_35, [0, 2, 1, 3]);  aten_convolution_default_35 = None
2025-03-21T20:26:23.0907388Z             
2025-03-21T20:26:23.0907939Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0908502Z             aten_squeeze_copy_dims_55: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_206, [-1]);  aten_permute_copy_default_206 = None
2025-03-21T20:26:23.0908598Z             
2025-03-21T20:26:23.0909115Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0909554Z             aten_unsqueeze_copy_default_56: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_76, -1)
2025-03-21T20:26:23.0909641Z             
2025-03-21T20:26:23.0910054Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0910745Z             aten_permute_copy_default_207: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_56, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_56 = None
2025-03-21T20:26:23.0910838Z             
2025-03-21T20:26:23.0911208Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0912120Z             aten_convolution_default_36: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_207, p_layers_5_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_207 = p_layers_5_attention_wk_conv_weight = None
2025-03-21T20:26:23.0912217Z             
2025-03-21T20:26:23.0912636Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0913260Z             aten_permute_copy_default_208: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_36, [0, 2, 1, 3]);  aten_convolution_default_36 = None
2025-03-21T20:26:23.0913349Z             
2025-03-21T20:26:23.0913895Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0914459Z             aten_squeeze_copy_dims_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_208, [-1]);  aten_permute_copy_default_208 = None
2025-03-21T20:26:23.0914557Z             
2025-03-21T20:26:23.0915075Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.0915613Z             aten_unsqueeze_copy_default_57: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_76, -1);  aten_mul_tensor_76 = None
2025-03-21T20:26:23.0915703Z             
2025-03-21T20:26:23.0916106Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.0916764Z             aten_permute_copy_default_209: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_57, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_57 = None
2025-03-21T20:26:23.0916849Z             
2025-03-21T20:26:23.0917224Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.0918139Z             aten_convolution_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_209, p_layers_5_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_209 = p_layers_5_attention_wv_conv_weight = None
2025-03-21T20:26:23.0918244Z             
2025-03-21T20:26:23.0918662Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.0919279Z             aten_permute_copy_default_210: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_37, [0, 2, 1, 3]);  aten_convolution_default_37 = None
2025-03-21T20:26:23.0919367Z             
2025-03-21T20:26:23.0919912Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.0920478Z             aten_squeeze_copy_dims_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_210, [-1]);  aten_permute_copy_default_210 = None
2025-03-21T20:26:23.0920564Z             
2025-03-21T20:26:23.0921161Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.0921721Z             aten_view_copy_default_90: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_55, [1, 1, 12, 64]);  aten_squeeze_copy_dims_55 = None
2025-03-21T20:26:23.0921821Z             
2025-03-21T20:26:23.0922343Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0922900Z             aten_view_copy_default_91: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_56, [1, 1, 12, 64]);  aten_squeeze_copy_dims_56 = None
2025-03-21T20:26:23.0922992Z             
2025-03-21T20:26:23.0923521Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.0924078Z             aten_view_copy_default_92: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_57, [1, 1, 12, 64]);  aten_squeeze_copy_dims_57 = None
2025-03-21T20:26:23.0924177Z             
2025-03-21T20:26:23.0924707Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0925271Z             aten_view_copy_default_93: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_90, [1, 1, 12, -1, 2]);  aten_view_copy_default_90 = None
2025-03-21T20:26:23.0925704Z             aten_slice_copy_tensor_20: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_93, 4, 0, 1)
2025-03-21T20:26:23.0926242Z             aten_slice_copy_tensor_21: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_93, 4, 1, 2);  aten_view_copy_default_93 = None
2025-03-21T20:26:23.0926774Z             aten_squeeze_copy_dims_58: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_20, [4]);  aten_slice_copy_tensor_20 = None
2025-03-21T20:26:23.0927326Z             aten_squeeze_copy_dims_59: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_21, [4]);  aten_slice_copy_tensor_21 = None
2025-03-21T20:26:23.0927423Z             
2025-03-21T20:26:23.0927948Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.0928513Z             aten_view_copy_default_94: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_91, [1, 1, 12, -1, 2]);  aten_view_copy_default_91 = None
2025-03-21T20:26:23.0928937Z             aten_slice_copy_tensor_22: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_94, 4, 0, 1)
2025-03-21T20:26:23.0929476Z             aten_slice_copy_tensor_23: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_94, 4, 1, 2);  aten_view_copy_default_94 = None
2025-03-21T20:26:23.0930003Z             aten_squeeze_copy_dims_60: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_22, [4]);  aten_slice_copy_tensor_22 = None
2025-03-21T20:26:23.0930536Z             aten_squeeze_copy_dims_61: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_23, [4]);  aten_slice_copy_tensor_23 = None
2025-03-21T20:26:23.0930621Z             
2025-03-21T20:26:23.0931077Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0931550Z             aten_view_copy_default_95: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.0931649Z             
2025-03-21T20:26:23.0932086Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.0932500Z             aten_view_copy_default_96: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.0932596Z             
2025-03-21T20:26:23.0933071Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.0933522Z             aten_mul_tensor_77: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_58, aten_view_copy_default_95)
2025-03-21T20:26:23.0933958Z             aten_mul_tensor_78: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_59, aten_view_copy_default_96)
2025-03-21T20:26:23.0934505Z             aten_sub_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_77, aten_mul_tensor_78);  aten_mul_tensor_77 = aten_mul_tensor_78 = None
2025-03-21T20:26:23.0934591Z             
2025-03-21T20:26:23.0935078Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.0935621Z             aten_mul_tensor_79: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_58, aten_view_copy_default_96);  aten_squeeze_copy_dims_58 = None
2025-03-21T20:26:23.0936180Z             aten_mul_tensor_80: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_59, aten_view_copy_default_95);  aten_squeeze_copy_dims_59 = None
2025-03-21T20:26:23.0936718Z             aten_add_tensor_25: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_79, aten_mul_tensor_80);  aten_mul_tensor_79 = aten_mul_tensor_80 = None
2025-03-21T20:26:23.0936839Z             
2025-03-21T20:26:23.0937315Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.0937746Z             aten_mul_tensor_81: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_60, aten_view_copy_default_95)
2025-03-21T20:26:23.0938187Z             aten_mul_tensor_82: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_61, aten_view_copy_default_96)
2025-03-21T20:26:23.0938719Z             aten_sub_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_81, aten_mul_tensor_82);  aten_mul_tensor_81 = aten_mul_tensor_82 = None
2025-03-21T20:26:23.0938826Z             
2025-03-21T20:26:23.0939301Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.0939958Z             aten_mul_tensor_83: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_60, aten_view_copy_default_96);  aten_squeeze_copy_dims_60 = aten_view_copy_default_96 = None
2025-03-21T20:26:23.0940599Z             aten_mul_tensor_84: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_61, aten_view_copy_default_95);  aten_squeeze_copy_dims_61 = aten_view_copy_default_95 = None
2025-03-21T20:26:23.0941144Z             aten_add_tensor_26: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_83, aten_mul_tensor_84);  aten_mul_tensor_83 = aten_mul_tensor_84 = None
2025-03-21T20:26:23.0941324Z             
2025-03-21T20:26:23.0941957Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0942481Z             aten_unsqueeze_copy_default_58: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_10, 4);  aten_sub_tensor_10 = None
2025-03-21T20:26:23.0943011Z             aten_unsqueeze_copy_default_59: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_25, 4);  aten_add_tensor_25 = None
2025-03-21T20:26:23.0943763Z             aten_cat_default_20: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_58, aten_unsqueeze_copy_default_59], -1);  aten_unsqueeze_copy_default_58 = aten_unsqueeze_copy_default_59 = None
2025-03-21T20:26:23.0944288Z             aten_view_copy_default_97: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_20, [1, 1, 12, 64]);  aten_cat_default_20 = None
2025-03-21T20:26:23.0944378Z             
2025-03-21T20:26:23.0944978Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.0945542Z             aten_unsqueeze_copy_default_60: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_11, 4);  aten_sub_tensor_11 = None
2025-03-21T20:26:23.0946057Z             aten_unsqueeze_copy_default_61: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_26, 4);  aten_add_tensor_26 = None
2025-03-21T20:26:23.0946812Z             aten_cat_default_21: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_60, aten_unsqueeze_copy_default_61], -1);  aten_unsqueeze_copy_default_60 = aten_unsqueeze_copy_default_61 = None
2025-03-21T20:26:23.0947326Z             aten_view_copy_default_98: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_21, [1, 1, 12, 64]);  aten_cat_default_21 = None
2025-03-21T20:26:23.0947454Z             
2025-03-21T20:26:23.0947988Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.0948582Z             aten_permute_copy_default_211: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_97, [0, 2, 1, 3]);  aten_view_copy_default_97 = None
2025-03-21T20:26:23.0948669Z             
2025-03-21T20:26:23.0949355Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.0950142Z             aten_index_put_default_10: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_5_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_98);  aten_view_copy_default_98 = None
2025-03-21T20:26:23.0950244Z             
2025-03-21T20:26:23.0950908Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.0951696Z             aten_index_put_default_11: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_5_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_92);  aten_view_copy_default_92 = None
2025-03-21T20:26:23.0951791Z             
2025-03-21T20:26:23.0952442Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0952997Z             aten_permute_copy_default_212: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0953560Z             aten_select_copy_int_240: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_212, 0, 0);  aten_permute_copy_default_212 = None
2025-03-21T20:26:23.0954076Z             aten_select_copy_int_241: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_240, 0, 0);  aten_select_copy_int_240 = None
2025-03-21T20:26:23.0954566Z             aten_permute_copy_default_213: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0955120Z             aten_select_copy_int_242: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_213, 0, 0);  aten_permute_copy_default_213 = None
2025-03-21T20:26:23.0955635Z             aten_select_copy_int_243: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_242, 0, 1);  aten_select_copy_int_242 = None
2025-03-21T20:26:23.0956130Z             aten_permute_copy_default_214: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0956676Z             aten_select_copy_int_244: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_214, 0, 0);  aten_permute_copy_default_214 = None
2025-03-21T20:26:23.0957196Z             aten_select_copy_int_245: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_244, 0, 2);  aten_select_copy_int_244 = None
2025-03-21T20:26:23.0957672Z             aten_permute_copy_default_215: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0958242Z             aten_select_copy_int_246: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_215, 0, 0);  aten_permute_copy_default_215 = None
2025-03-21T20:26:23.0958774Z             aten_select_copy_int_247: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_246, 0, 3);  aten_select_copy_int_246 = None
2025-03-21T20:26:23.0959263Z             aten_permute_copy_default_216: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0959812Z             aten_select_copy_int_248: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_216, 0, 0);  aten_permute_copy_default_216 = None
2025-03-21T20:26:23.0960334Z             aten_select_copy_int_249: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_248, 0, 4);  aten_select_copy_int_248 = None
2025-03-21T20:26:23.0960819Z             aten_permute_copy_default_217: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0961386Z             aten_select_copy_int_250: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_217, 0, 0);  aten_permute_copy_default_217 = None
2025-03-21T20:26:23.0961894Z             aten_select_copy_int_251: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_250, 0, 5);  aten_select_copy_int_250 = None
2025-03-21T20:26:23.0962382Z             aten_permute_copy_default_218: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0962976Z             aten_select_copy_int_252: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_218, 0, 0);  aten_permute_copy_default_218 = None
2025-03-21T20:26:23.0963520Z             aten_select_copy_int_253: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_252, 0, 6);  aten_select_copy_int_252 = None
2025-03-21T20:26:23.0963998Z             aten_permute_copy_default_219: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0964563Z             aten_select_copy_int_254: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_219, 0, 0);  aten_permute_copy_default_219 = None
2025-03-21T20:26:23.0965069Z             aten_select_copy_int_255: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_254, 0, 7);  aten_select_copy_int_254 = None
2025-03-21T20:26:23.0965562Z             aten_permute_copy_default_220: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0966111Z             aten_select_copy_int_256: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_220, 0, 0);  aten_permute_copy_default_220 = None
2025-03-21T20:26:23.0970731Z             aten_select_copy_int_257: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_256, 0, 8);  aten_select_copy_int_256 = None
2025-03-21T20:26:23.0971313Z             aten_permute_copy_default_221: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0971868Z             aten_select_copy_int_258: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_221, 0, 0);  aten_permute_copy_default_221 = None
2025-03-21T20:26:23.0972403Z             aten_select_copy_int_259: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_258, 0, 9);  aten_select_copy_int_258 = None
2025-03-21T20:26:23.0972885Z             aten_permute_copy_default_222: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0973541Z             aten_select_copy_int_260: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_222, 0, 0);  aten_permute_copy_default_222 = None
2025-03-21T20:26:23.0974049Z             aten_select_copy_int_261: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_260, 0, 10);  aten_select_copy_int_260 = None
2025-03-21T20:26:23.0974540Z             aten_permute_copy_default_223: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_10, [0, 2, 1, 3])
2025-03-21T20:26:23.0975094Z             aten_select_copy_int_262: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_223, 0, 0);  aten_permute_copy_default_223 = None
2025-03-21T20:26:23.0975784Z             aten_select_copy_int_263: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_262, 0, 11);  aten_select_copy_int_262 = None
2025-03-21T20:26:23.0978187Z             aten_cat_default_22: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_241, aten_select_copy_int_243, aten_select_copy_int_245, aten_select_copy_int_247, aten_select_copy_int_249, aten_select_copy_int_251, aten_select_copy_int_253, aten_select_copy_int_255, aten_select_copy_int_257, aten_select_copy_int_259, aten_select_copy_int_261, aten_select_copy_int_263]);  aten_select_copy_int_241 = aten_select_copy_int_243 = aten_select_copy_int_245 = aten_select_copy_int_247 = aten_select_copy_int_249 = aten_select_copy_int_251 = aten_select_copy_int_253 = aten_select_copy_int_255 = aten_select_copy_int_257 = aten_select_copy_int_259 = aten_select_copy_int_261 = aten_select_copy_int_263 = None
2025-03-21T20:26:23.0978763Z             aten_view_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_22, [1, 12, 128, 64]);  aten_cat_default_22 = None
2025-03-21T20:26:23.0978859Z             
2025-03-21T20:26:23.0979522Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.0980001Z             aten_permute_copy_default_224: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0980557Z             aten_select_copy_int_264: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_224, 0, 0);  aten_permute_copy_default_224 = None
2025-03-21T20:26:23.0981070Z             aten_select_copy_int_265: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_264, 0, 0);  aten_select_copy_int_264 = None
2025-03-21T20:26:23.0981615Z             aten_permute_copy_default_225: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0982259Z             aten_select_copy_int_266: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_225, 0, 0);  aten_permute_copy_default_225 = None
2025-03-21T20:26:23.0982774Z             aten_select_copy_int_267: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_266, 0, 1);  aten_select_copy_int_266 = None
2025-03-21T20:26:23.0983247Z             aten_permute_copy_default_226: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0983810Z             aten_select_copy_int_268: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_226, 0, 0);  aten_permute_copy_default_226 = None
2025-03-21T20:26:23.0984314Z             aten_select_copy_int_269: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_268, 0, 2);  aten_select_copy_int_268 = None
2025-03-21T20:26:23.0984870Z             aten_permute_copy_default_227: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0985415Z             aten_select_copy_int_270: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_227, 0, 0);  aten_permute_copy_default_227 = None
2025-03-21T20:26:23.0985936Z             aten_select_copy_int_271: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_270, 0, 3);  aten_select_copy_int_270 = None
2025-03-21T20:26:23.0986414Z             aten_permute_copy_default_228: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0986977Z             aten_select_copy_int_272: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_228, 0, 0);  aten_permute_copy_default_228 = None
2025-03-21T20:26:23.0987485Z             aten_select_copy_int_273: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_272, 0, 4);  aten_select_copy_int_272 = None
2025-03-21T20:26:23.0987971Z             aten_permute_copy_default_229: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0988524Z             aten_select_copy_int_274: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_229, 0, 0);  aten_permute_copy_default_229 = None
2025-03-21T20:26:23.0989090Z             aten_select_copy_int_275: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_274, 0, 5);  aten_select_copy_int_274 = None
2025-03-21T20:26:23.0989565Z             aten_permute_copy_default_230: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0990127Z             aten_select_copy_int_276: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_230, 0, 0);  aten_permute_copy_default_230 = None
2025-03-21T20:26:23.0990633Z             aten_select_copy_int_277: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_276, 0, 6);  aten_select_copy_int_276 = None
2025-03-21T20:26:23.0991108Z             aten_permute_copy_default_231: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0991670Z             aten_select_copy_int_278: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_231, 0, 0);  aten_permute_copy_default_231 = None
2025-03-21T20:26:23.0992180Z             aten_select_copy_int_279: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_278, 0, 7);  aten_select_copy_int_278 = None
2025-03-21T20:26:23.0992704Z             aten_permute_copy_default_232: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0993259Z             aten_select_copy_int_280: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_232, 0, 0);  aten_permute_copy_default_232 = None
2025-03-21T20:26:23.0993774Z             aten_select_copy_int_281: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_280, 0, 8);  aten_select_copy_int_280 = None
2025-03-21T20:26:23.0994256Z             aten_permute_copy_default_233: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0994846Z             aten_select_copy_int_282: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_233, 0, 0);  aten_permute_copy_default_233 = None
2025-03-21T20:26:23.0995355Z             aten_select_copy_int_283: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_282, 0, 9);  aten_select_copy_int_282 = None
2025-03-21T20:26:23.0995840Z             aten_permute_copy_default_234: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0996385Z             aten_select_copy_int_284: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_234, 0, 0);  aten_permute_copy_default_234 = None
2025-03-21T20:26:23.0996907Z             aten_select_copy_int_285: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_284, 0, 10);  aten_select_copy_int_284 = None
2025-03-21T20:26:23.0997380Z             aten_permute_copy_default_235: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_11, [0, 2, 1, 3])
2025-03-21T20:26:23.0997942Z             aten_select_copy_int_286: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_235, 0, 0);  aten_permute_copy_default_235 = None
2025-03-21T20:26:23.0998452Z             aten_select_copy_int_287: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_286, 0, 11);  aten_select_copy_int_286 = None
2025-03-21T20:26:23.1000800Z             aten_cat_default_23: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_265, aten_select_copy_int_267, aten_select_copy_int_269, aten_select_copy_int_271, aten_select_copy_int_273, aten_select_copy_int_275, aten_select_copy_int_277, aten_select_copy_int_279, aten_select_copy_int_281, aten_select_copy_int_283, aten_select_copy_int_285, aten_select_copy_int_287]);  aten_select_copy_int_265 = aten_select_copy_int_267 = aten_select_copy_int_269 = aten_select_copy_int_271 = aten_select_copy_int_273 = aten_select_copy_int_275 = aten_select_copy_int_277 = aten_select_copy_int_279 = aten_select_copy_int_281 = aten_select_copy_int_283 = aten_select_copy_int_285 = aten_select_copy_int_287 = None
2025-03-21T20:26:23.1001357Z             aten_view_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_23, [1, 12, 128, 64]);  aten_cat_default_23 = None
2025-03-21T20:26:23.1001462Z             
2025-03-21T20:26:23.1001965Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1002551Z             aten_index_tensor_7: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_5_attention_mask, [attn_options_input_pos]);  b_layers_5_attention_mask = None
2025-03-21T20:26:23.1002646Z             
2025-03-21T20:26:23.1003239Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1003860Z             aten_permute_copy_default_236: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_99, [0, 1, 3, 2]);  aten_view_copy_default_99 = None
2025-03-21T20:26:23.1004471Z             aten_expand_copy_default_20: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_211, [1, 12, 1, 64]);  aten_permute_copy_default_211 = None
2025-03-21T20:26:23.1005042Z             aten_view_copy_default_101: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_20, [12, 1, 64]);  aten_expand_copy_default_20 = None
2025-03-21T20:26:23.1005659Z             aten_expand_copy_default_21: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_236, [1, 12, 64, 128]);  aten_permute_copy_default_236 = None
2025-03-21T20:26:23.1006263Z             aten_view_copy_default_102: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_21, [12, 64, 128]);  aten_expand_copy_default_21 = None
2025-03-21T20:26:23.1006942Z             aten_bmm_default_10: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_101, aten_view_copy_default_102);  aten_view_copy_default_101 = aten_view_copy_default_102 = None
2025-03-21T20:26:23.1007470Z             aten_view_copy_default_103: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_10, [1, 12, 1, 128]);  aten_bmm_default_10 = None
2025-03-21T20:26:23.1008149Z             aten_mul_tensor_85: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_103, _lifted_tensor_constant43);  aten_view_copy_default_103 = _lifted_tensor_constant43 = None
2025-03-21T20:26:23.1008240Z             
2025-03-21T20:26:23.1008743Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1009301Z             aten_add_tensor_27: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_85, aten_index_tensor_7);  aten_mul_tensor_85 = aten_index_tensor_7 = None
2025-03-21T20:26:23.1009404Z             
2025-03-21T20:26:23.1009977Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1010533Z             aten__softmax_default_5: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_27, -1, False);  aten_add_tensor_27 = None
2025-03-21T20:26:23.1010638Z             
2025-03-21T20:26:23.1011105Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1011692Z             aten_expand_copy_default_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_5, [1, 12, 1, 128]);  aten__softmax_default_5 = None
2025-03-21T20:26:23.1012268Z             aten_view_copy_default_104: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_22, [12, 1, 128]);  aten_expand_copy_default_22 = None
2025-03-21T20:26:23.1012869Z             aten_expand_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_100, [1, 12, 128, 64]);  aten_view_copy_default_100 = None
2025-03-21T20:26:23.1013443Z             aten_view_copy_default_105: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_23, [12, 128, 64]);  aten_expand_copy_default_23 = None
2025-03-21T20:26:23.1014140Z             aten_bmm_default_11: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_104, aten_view_copy_default_105);  aten_view_copy_default_104 = aten_view_copy_default_105 = None
2025-03-21T20:26:23.1014663Z             aten_view_copy_default_106: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_11, [1, 12, 1, 64]);  aten_bmm_default_11 = None
2025-03-21T20:26:23.1014764Z             
2025-03-21T20:26:23.1015394Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1015994Z             aten_permute_copy_default_237: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_106, [0, 2, 1, 3]);  aten_view_copy_default_106 = None
2025-03-21T20:26:23.1016596Z             aten_view_copy_default_107: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_237, [1, 1, 768]);  aten_permute_copy_default_237 = None
2025-03-21T20:26:23.1016700Z             
2025-03-21T20:26:23.1017232Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1017833Z             aten_unsqueeze_copy_default_62: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_107, -1);  aten_view_copy_default_107 = None
2025-03-21T20:26:23.1017924Z             
2025-03-21T20:26:23.1018335Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1018971Z             aten_permute_copy_default_238: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_62, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_62 = None
2025-03-21T20:26:23.1019064Z             
2025-03-21T20:26:23.1019444Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1020369Z             aten_convolution_default_38: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_238, p_layers_5_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_238 = p_layers_5_attention_wo_conv_weight = None
2025-03-21T20:26:23.1020470Z             
2025-03-21T20:26:23.1020894Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1021648Z             aten_permute_copy_default_239: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_38, [0, 2, 1, 3]);  aten_convolution_default_38 = None
2025-03-21T20:26:23.1021746Z             
2025-03-21T20:26:23.1022304Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1022869Z             aten_squeeze_copy_dims_62: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_239, [-1]);  aten_permute_copy_default_239 = None
2025-03-21T20:26:23.1022963Z             
2025-03-21T20:26:23.1023349Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1023945Z             aten_add_tensor_28: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_24, aten_squeeze_copy_dims_62);  aten_add_tensor_24 = aten_squeeze_copy_dims_62 = None
2025-03-21T20:26:23.1024050Z             
2025-03-21T20:26:23.1024566Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1024981Z             aten_pow_tensor_scalar_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_28, 2)
2025-03-21T20:26:23.1025450Z             aten_mean_dim_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_11, [2], True);  aten_pow_tensor_scalar_11 = None
2025-03-21T20:26:23.1025915Z             aten_add_scalar_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_11, 9.999999747378752e-06);  aten_mean_dim_11 = None
2025-03-21T20:26:23.1026346Z             aten_rsqrt_default_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_11);  aten_add_scalar_11 = None
2025-03-21T20:26:23.1026863Z             aten_mul_tensor_86: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_28, aten_rsqrt_default_11);  aten_rsqrt_default_11 = None
2025-03-21T20:26:23.1027490Z             aten_mul_tensor_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_86, p_layers_5_ffn_norm_weight);  aten_mul_tensor_86 = p_layers_5_ffn_norm_weight = None
2025-03-21T20:26:23.1027594Z             
2025-03-21T20:26:23.1028114Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1028542Z             aten_unsqueeze_copy_default_63: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_87, -1)
2025-03-21T20:26:23.1028644Z             
2025-03-21T20:26:23.1029054Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1029692Z             aten_permute_copy_default_240: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_63, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_63 = None
2025-03-21T20:26:23.1029781Z             
2025-03-21T20:26:23.1030163Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1031101Z             aten_convolution_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_240, p_layers_5_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_240 = p_layers_5_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1031204Z             
2025-03-21T20:26:23.1031625Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1032307Z             aten_permute_copy_default_241: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_39, [0, 2, 1, 3]);  aten_convolution_default_39 = None
2025-03-21T20:26:23.1032400Z             
2025-03-21T20:26:23.1032943Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1033525Z             aten_squeeze_copy_dims_63: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_241, [-1]);  aten_permute_copy_default_241 = None
2025-03-21T20:26:23.1033617Z             
2025-03-21T20:26:23.1034151Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1034545Z             aten_sigmoid_default_5: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_63)
2025-03-21T20:26:23.1035192Z             aten_mul_tensor_88: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_63, aten_sigmoid_default_5);  aten_squeeze_copy_dims_63 = aten_sigmoid_default_5 = None
2025-03-21T20:26:23.1035284Z             
2025-03-21T20:26:23.1035841Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1036375Z             aten_unsqueeze_copy_default_64: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_87, -1);  aten_mul_tensor_87 = None
2025-03-21T20:26:23.1036475Z             
2025-03-21T20:26:23.1036882Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1037510Z             aten_permute_copy_default_242: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_64, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_64 = None
2025-03-21T20:26:23.1037635Z             
2025-03-21T20:26:23.1038002Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1038951Z             aten_convolution_default_40: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_242, p_layers_5_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_242 = p_layers_5_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1039041Z             
2025-03-21T20:26:23.1039472Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1040093Z             aten_permute_copy_default_243: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_40, [0, 2, 1, 3]);  aten_convolution_default_40 = None
2025-03-21T20:26:23.1040197Z             
2025-03-21T20:26:23.1040733Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1041318Z             aten_squeeze_copy_dims_64: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_243, [-1]);  aten_permute_copy_default_243 = None
2025-03-21T20:26:23.1041409Z             
2025-03-21T20:26:23.1041935Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1042534Z             aten_mul_tensor_89: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_88, aten_squeeze_copy_dims_64);  aten_mul_tensor_88 = aten_squeeze_copy_dims_64 = None
2025-03-21T20:26:23.1042675Z             
2025-03-21T20:26:23.1043211Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1043753Z             aten_unsqueeze_copy_default_65: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_89, -1);  aten_mul_tensor_89 = None
2025-03-21T20:26:23.1043861Z             
2025-03-21T20:26:23.1044268Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1044908Z             aten_permute_copy_default_244: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_65, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_65 = None
2025-03-21T20:26:23.1044999Z             
2025-03-21T20:26:23.1045386Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1046322Z             aten_convolution_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_244, p_layers_5_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_244 = p_layers_5_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1046428Z             
2025-03-21T20:26:23.1046882Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1047491Z             aten_permute_copy_default_245: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_41, [0, 2, 1, 3]);  aten_convolution_default_41 = None
2025-03-21T20:26:23.1047594Z             
2025-03-21T20:26:23.1048138Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1048722Z             aten_squeeze_copy_dims_65: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_245, [-1]);  aten_permute_copy_default_245 = None
2025-03-21T20:26:23.1048842Z             
2025-03-21T20:26:23.1049368Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1049959Z             aten_add_tensor_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_28, aten_squeeze_copy_dims_65);  aten_add_tensor_28 = aten_squeeze_copy_dims_65 = None
2025-03-21T20:26:23.1050065Z             
2025-03-21T20:26:23.1050635Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1051037Z             aten_pow_tensor_scalar_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_29, 2)
2025-03-21T20:26:23.1051505Z             aten_mean_dim_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_12, [2], True);  aten_pow_tensor_scalar_12 = None
2025-03-21T20:26:23.1051976Z             aten_add_scalar_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_12, 9.999999747378752e-06);  aten_mean_dim_12 = None
2025-03-21T20:26:23.1052412Z             aten_rsqrt_default_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_12);  aten_add_scalar_12 = None
2025-03-21T20:26:23.1052912Z             aten_mul_tensor_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_29, aten_rsqrt_default_12);  aten_rsqrt_default_12 = None
2025-03-21T20:26:23.1053598Z             aten_mul_tensor_91: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_90, p_layers_6_attention_norm_weight);  aten_mul_tensor_90 = p_layers_6_attention_norm_weight = None
2025-03-21T20:26:23.1053715Z             
2025-03-21T20:26:23.1054252Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1054687Z             aten_unsqueeze_copy_default_66: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_91, -1)
2025-03-21T20:26:23.1054796Z             
2025-03-21T20:26:23.1055205Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1055845Z             aten_permute_copy_default_246: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_66, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_66 = None
2025-03-21T20:26:23.1055936Z             
2025-03-21T20:26:23.1056315Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1057266Z             aten_convolution_default_42: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_246, p_layers_6_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_246 = p_layers_6_attention_wq_conv_weight = None
2025-03-21T20:26:23.1057372Z             
2025-03-21T20:26:23.1057797Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1058409Z             aten_permute_copy_default_247: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_42, [0, 2, 1, 3]);  aten_convolution_default_42 = None
2025-03-21T20:26:23.1058513Z             
2025-03-21T20:26:23.1059058Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1059638Z             aten_squeeze_copy_dims_66: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_247, [-1]);  aten_permute_copy_default_247 = None
2025-03-21T20:26:23.1059752Z             
2025-03-21T20:26:23.1060285Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1060715Z             aten_unsqueeze_copy_default_67: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_91, -1)
2025-03-21T20:26:23.1060817Z             
2025-03-21T20:26:23.1061280Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1061923Z             aten_permute_copy_default_248: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_67, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_67 = None
2025-03-21T20:26:23.1062016Z             
2025-03-21T20:26:23.1062385Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1063324Z             aten_convolution_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_248, p_layers_6_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_248 = p_layers_6_attention_wk_conv_weight = None
2025-03-21T20:26:23.1063416Z             
2025-03-21T20:26:23.1063851Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1064504Z             aten_permute_copy_default_249: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_43, [0, 2, 1, 3]);  aten_convolution_default_43 = None
2025-03-21T20:26:23.1064631Z             
2025-03-21T20:26:23.1065170Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1065750Z             aten_squeeze_copy_dims_67: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_249, [-1]);  aten_permute_copy_default_249 = None
2025-03-21T20:26:23.1065841Z             
2025-03-21T20:26:23.1066367Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1066897Z             aten_unsqueeze_copy_default_68: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_91, -1);  aten_mul_tensor_91 = None
2025-03-21T20:26:23.1066992Z             
2025-03-21T20:26:23.1067410Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1068036Z             aten_permute_copy_default_250: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_68, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_68 = None
2025-03-21T20:26:23.1068160Z             
2025-03-21T20:26:23.1068530Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1069455Z             aten_convolution_default_44: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_250, p_layers_6_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_250 = p_layers_6_attention_wv_conv_weight = None
2025-03-21T20:26:23.1069549Z             
2025-03-21T20:26:23.1069986Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1070596Z             aten_permute_copy_default_251: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_44, [0, 2, 1, 3]);  aten_convolution_default_44 = None
2025-03-21T20:26:23.1070719Z             
2025-03-21T20:26:23.1071263Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1071831Z             aten_squeeze_copy_dims_68: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_251, [-1]);  aten_permute_copy_default_251 = None
2025-03-21T20:26:23.1071932Z             
2025-03-21T20:26:23.1072456Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1073030Z             aten_view_copy_default_108: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_66, [1, 1, 12, 64]);  aten_squeeze_copy_dims_66 = None
2025-03-21T20:26:23.1073123Z             
2025-03-21T20:26:23.1073665Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1074219Z             aten_view_copy_default_109: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_67, [1, 1, 12, 64]);  aten_squeeze_copy_dims_67 = None
2025-03-21T20:26:23.1074322Z             
2025-03-21T20:26:23.1074845Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1075456Z             aten_view_copy_default_110: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_68, [1, 1, 12, 64]);  aten_squeeze_copy_dims_68 = None
2025-03-21T20:26:23.1075547Z             
2025-03-21T20:26:23.1076251Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1076840Z             aten_view_copy_default_111: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_108, [1, 1, 12, -1, 2]);  aten_view_copy_default_108 = None
2025-03-21T20:26:23.1077267Z             aten_slice_copy_tensor_24: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_111, 4, 0, 1)
2025-03-21T20:26:23.1077827Z             aten_slice_copy_tensor_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_111, 4, 1, 2);  aten_view_copy_default_111 = None
2025-03-21T20:26:23.1078355Z             aten_squeeze_copy_dims_69: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_24, [4]);  aten_slice_copy_tensor_24 = None
2025-03-21T20:26:23.1078898Z             aten_squeeze_copy_dims_70: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_25, [4]);  aten_slice_copy_tensor_25 = None
2025-03-21T20:26:23.1079048Z             
2025-03-21T20:26:23.1079588Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1080158Z             aten_view_copy_default_112: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_109, [1, 1, 12, -1, 2]);  aten_view_copy_default_109 = None
2025-03-21T20:26:23.1080601Z             aten_slice_copy_tensor_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_112, 4, 0, 1)
2025-03-21T20:26:23.1081143Z             aten_slice_copy_tensor_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_112, 4, 1, 2);  aten_view_copy_default_112 = None
2025-03-21T20:26:23.1081723Z             aten_squeeze_copy_dims_71: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_26, [4]);  aten_slice_copy_tensor_26 = None
2025-03-21T20:26:23.1082253Z             aten_squeeze_copy_dims_72: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_27, [4]);  aten_slice_copy_tensor_27 = None
2025-03-21T20:26:23.1082358Z             
2025-03-21T20:26:23.1082802Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1083232Z             aten_view_copy_default_113: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.1083323Z             
2025-03-21T20:26:23.1083763Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1084195Z             aten_view_copy_default_114: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.1084284Z             
2025-03-21T20:26:23.1084769Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1085210Z             aten_mul_tensor_92: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_69, aten_view_copy_default_113)
2025-03-21T20:26:23.1085684Z             aten_mul_tensor_93: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_70, aten_view_copy_default_114)
2025-03-21T20:26:23.1086253Z             aten_sub_tensor_12: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_92, aten_mul_tensor_93);  aten_mul_tensor_92 = aten_mul_tensor_93 = None
2025-03-21T20:26:23.1086357Z             
2025-03-21T20:26:23.1086837Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1087402Z             aten_mul_tensor_94: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_69, aten_view_copy_default_114);  aten_squeeze_copy_dims_69 = None
2025-03-21T20:26:23.1087950Z             aten_mul_tensor_95: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_70, aten_view_copy_default_113);  aten_squeeze_copy_dims_70 = None
2025-03-21T20:26:23.1088495Z             aten_add_tensor_30: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_94, aten_mul_tensor_95);  aten_mul_tensor_94 = aten_mul_tensor_95 = None
2025-03-21T20:26:23.1088586Z             
2025-03-21T20:26:23.1089068Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1089539Z             aten_mul_tensor_96: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_71, aten_view_copy_default_113)
2025-03-21T20:26:23.1089975Z             aten_mul_tensor_97: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_72, aten_view_copy_default_114)
2025-03-21T20:26:23.1090519Z             aten_sub_tensor_13: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_96, aten_mul_tensor_97);  aten_mul_tensor_96 = aten_mul_tensor_97 = None
2025-03-21T20:26:23.1090611Z             
2025-03-21T20:26:23.1091101Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1091749Z             aten_mul_tensor_98: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_71, aten_view_copy_default_114);  aten_squeeze_copy_dims_71 = aten_view_copy_default_114 = None
2025-03-21T20:26:23.1092431Z             aten_mul_tensor_99: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_72, aten_view_copy_default_113);  aten_squeeze_copy_dims_72 = aten_view_copy_default_113 = None
2025-03-21T20:26:23.1092965Z             aten_add_tensor_31: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_98, aten_mul_tensor_99);  aten_mul_tensor_98 = aten_mul_tensor_99 = None
2025-03-21T20:26:23.1093066Z             
2025-03-21T20:26:23.1093598Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1094134Z             aten_unsqueeze_copy_default_69: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_12, 4);  aten_sub_tensor_12 = None
2025-03-21T20:26:23.1094659Z             aten_unsqueeze_copy_default_70: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_30, 4);  aten_add_tensor_30 = None
2025-03-21T20:26:23.1095420Z             aten_cat_default_24: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_69, aten_unsqueeze_copy_default_70], -1);  aten_unsqueeze_copy_default_69 = aten_unsqueeze_copy_default_70 = None
2025-03-21T20:26:23.1095938Z             aten_view_copy_default_115: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_24, [1, 1, 12, 64]);  aten_cat_default_24 = None
2025-03-21T20:26:23.1096084Z             
2025-03-21T20:26:23.1096613Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1097135Z             aten_unsqueeze_copy_default_71: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_13, 4);  aten_sub_tensor_13 = None
2025-03-21T20:26:23.1097666Z             aten_unsqueeze_copy_default_72: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_31, 4);  aten_add_tensor_31 = None
2025-03-21T20:26:23.1098414Z             aten_cat_default_25: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_71, aten_unsqueeze_copy_default_72], -1);  aten_unsqueeze_copy_default_71 = aten_unsqueeze_copy_default_72 = None
2025-03-21T20:26:23.1098946Z             aten_view_copy_default_116: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_25, [1, 1, 12, 64]);  aten_cat_default_25 = None
2025-03-21T20:26:23.1099035Z             
2025-03-21T20:26:23.1099585Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1100203Z             aten_permute_copy_default_252: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_115, [0, 2, 1, 3]);  aten_view_copy_default_115 = None
2025-03-21T20:26:23.1100305Z             
2025-03-21T20:26:23.1100976Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1101862Z             aten_index_put_default_12: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_6_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_116);  aten_view_copy_default_116 = None
2025-03-21T20:26:23.1101955Z             
2025-03-21T20:26:23.1102637Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1103471Z             aten_index_put_default_13: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_6_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_110);  aten_view_copy_default_110 = None
2025-03-21T20:26:23.1103578Z             
2025-03-21T20:26:23.1104223Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1104726Z             aten_permute_copy_default_253: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1105278Z             aten_select_copy_int_288: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_253, 0, 0);  aten_permute_copy_default_253 = None
2025-03-21T20:26:23.1105796Z             aten_select_copy_int_289: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_288, 0, 0);  aten_select_copy_int_288 = None
2025-03-21T20:26:23.1106275Z             aten_permute_copy_default_254: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1106820Z             aten_select_copy_int_290: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_254, 0, 0);  aten_permute_copy_default_254 = None
2025-03-21T20:26:23.1107389Z             aten_select_copy_int_291: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_290, 0, 1);  aten_select_copy_int_290 = None
2025-03-21T20:26:23.1107866Z             aten_permute_copy_default_255: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1108425Z             aten_select_copy_int_292: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_255, 0, 0);  aten_permute_copy_default_255 = None
2025-03-21T20:26:23.1108930Z             aten_select_copy_int_293: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_292, 0, 2);  aten_select_copy_int_292 = None
2025-03-21T20:26:23.1109419Z             aten_permute_copy_default_256: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1109972Z             aten_select_copy_int_294: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_256, 0, 0);  aten_permute_copy_default_256 = None
2025-03-21T20:26:23.1110493Z             aten_select_copy_int_295: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_294, 0, 3);  aten_select_copy_int_294 = None
2025-03-21T20:26:23.1110998Z             aten_permute_copy_default_257: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1111559Z             aten_select_copy_int_296: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_257, 0, 0);  aten_permute_copy_default_257 = None
2025-03-21T20:26:23.1112061Z             aten_select_copy_int_297: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_296, 0, 4);  aten_select_copy_int_296 = None
2025-03-21T20:26:23.1112549Z             aten_permute_copy_default_258: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1113097Z             aten_select_copy_int_298: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_258, 0, 0);  aten_permute_copy_default_258 = None
2025-03-21T20:26:23.1113635Z             aten_select_copy_int_299: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_298, 0, 5);  aten_select_copy_int_298 = None
2025-03-21T20:26:23.1114113Z             aten_permute_copy_default_259: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1114670Z             aten_select_copy_int_300: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_259, 0, 0);  aten_permute_copy_default_259 = None
2025-03-21T20:26:23.1115178Z             aten_select_copy_int_301: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_300, 0, 6);  aten_select_copy_int_300 = None
2025-03-21T20:26:23.1115665Z             aten_permute_copy_default_260: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1116211Z             aten_select_copy_int_302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_260, 0, 0);  aten_permute_copy_default_260 = None
2025-03-21T20:26:23.1116720Z             aten_select_copy_int_303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_302, 0, 7);  aten_select_copy_int_302 = None
2025-03-21T20:26:23.1117195Z             aten_permute_copy_default_261: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1117806Z             aten_select_copy_int_304: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_261, 0, 0);  aten_permute_copy_default_261 = None
2025-03-21T20:26:23.1118312Z             aten_select_copy_int_305: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_304, 0, 8);  aten_select_copy_int_304 = None
2025-03-21T20:26:23.1118801Z             aten_permute_copy_default_262: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1119365Z             aten_select_copy_int_306: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_262, 0, 0);  aten_permute_copy_default_262 = None
2025-03-21T20:26:23.1119881Z             aten_select_copy_int_307: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_306, 0, 9);  aten_select_copy_int_306 = None
2025-03-21T20:26:23.1120360Z             aten_permute_copy_default_263: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1120926Z             aten_select_copy_int_308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_263, 0, 0);  aten_permute_copy_default_263 = None
2025-03-21T20:26:23.1121460Z             aten_select_copy_int_309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_308, 0, 10);  aten_select_copy_int_308 = None
2025-03-21T20:26:23.1121937Z             aten_permute_copy_default_264: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_12, [0, 2, 1, 3])
2025-03-21T20:26:23.1122503Z             aten_select_copy_int_310: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_264, 0, 0);  aten_permute_copy_default_264 = None
2025-03-21T20:26:23.1123018Z             aten_select_copy_int_311: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_310, 0, 11);  aten_select_copy_int_310 = None
2025-03-21T20:26:23.1125374Z             aten_cat_default_26: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_289, aten_select_copy_int_291, aten_select_copy_int_293, aten_select_copy_int_295, aten_select_copy_int_297, aten_select_copy_int_299, aten_select_copy_int_301, aten_select_copy_int_303, aten_select_copy_int_305, aten_select_copy_int_307, aten_select_copy_int_309, aten_select_copy_int_311]);  aten_select_copy_int_289 = aten_select_copy_int_291 = aten_select_copy_int_293 = aten_select_copy_int_295 = aten_select_copy_int_297 = aten_select_copy_int_299 = aten_select_copy_int_301 = aten_select_copy_int_303 = aten_select_copy_int_305 = aten_select_copy_int_307 = aten_select_copy_int_309 = aten_select_copy_int_311 = None
2025-03-21T20:26:23.1125922Z             aten_view_copy_default_117: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_26, [1, 12, 128, 64]);  aten_cat_default_26 = None
2025-03-21T20:26:23.1126018Z             
2025-03-21T20:26:23.1126680Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1127160Z             aten_permute_copy_default_265: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1127722Z             aten_select_copy_int_312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_265, 0, 0);  aten_permute_copy_default_265 = None
2025-03-21T20:26:23.1128252Z             aten_select_copy_int_313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_312, 0, 0);  aten_select_copy_int_312 = None
2025-03-21T20:26:23.1128766Z             aten_permute_copy_default_266: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1129321Z             aten_select_copy_int_314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_266, 0, 0);  aten_permute_copy_default_266 = None
2025-03-21T20:26:23.1129843Z             aten_select_copy_int_315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_314, 0, 1);  aten_select_copy_int_314 = None
2025-03-21T20:26:23.1130322Z             aten_permute_copy_default_267: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1130874Z             aten_select_copy_int_316: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_267, 0, 0);  aten_permute_copy_default_267 = None
2025-03-21T20:26:23.1131395Z             aten_select_copy_int_317: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_316, 0, 2);  aten_select_copy_int_316 = None
2025-03-21T20:26:23.1131900Z             aten_permute_copy_default_268: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1132462Z             aten_select_copy_int_318: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_268, 0, 0);  aten_permute_copy_default_268 = None
2025-03-21T20:26:23.1132967Z             aten_select_copy_int_319: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_318, 0, 3);  aten_select_copy_int_318 = None
2025-03-21T20:26:23.1133461Z             aten_permute_copy_default_269: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1134013Z             aten_select_copy_int_320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_269, 0, 0);  aten_permute_copy_default_269 = None
2025-03-21T20:26:23.1134564Z             aten_select_copy_int_321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_320, 0, 4);  aten_select_copy_int_320 = None
2025-03-21T20:26:23.1135039Z             aten_permute_copy_default_270: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1135603Z             aten_select_copy_int_322: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_270, 0, 0);  aten_permute_copy_default_270 = None
2025-03-21T20:26:23.1136112Z             aten_select_copy_int_323: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_322, 0, 5);  aten_select_copy_int_322 = None
2025-03-21T20:26:23.1136599Z             aten_permute_copy_default_271: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1137152Z             aten_select_copy_int_324: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_271, 0, 0);  aten_permute_copy_default_271 = None
2025-03-21T20:26:23.1137666Z             aten_select_copy_int_325: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_324, 0, 6);  aten_select_copy_int_324 = None
2025-03-21T20:26:23.1138144Z             aten_permute_copy_default_272: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1138752Z             aten_select_copy_int_326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_272, 0, 0);  aten_permute_copy_default_272 = None
2025-03-21T20:26:23.1139260Z             aten_select_copy_int_327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_326, 0, 7);  aten_select_copy_int_326 = None
2025-03-21T20:26:23.1139751Z             aten_permute_copy_default_273: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1140299Z             aten_select_copy_int_328: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_273, 0, 0);  aten_permute_copy_default_273 = None
2025-03-21T20:26:23.1140816Z             aten_select_copy_int_329: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_328, 0, 8);  aten_select_copy_int_328 = None
2025-03-21T20:26:23.1141362Z             aten_permute_copy_default_274: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1141929Z             aten_select_copy_int_330: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_274, 0, 0);  aten_permute_copy_default_274 = None
2025-03-21T20:26:23.1142473Z             aten_select_copy_int_331: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_330, 0, 9);  aten_select_copy_int_330 = None
2025-03-21T20:26:23.1142963Z             aten_permute_copy_default_275: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1143510Z             aten_select_copy_int_332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_275, 0, 0);  aten_permute_copy_default_275 = None
2025-03-21T20:26:23.1144035Z             aten_select_copy_int_333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_332, 0, 10);  aten_select_copy_int_332 = None
2025-03-21T20:26:23.1144511Z             aten_permute_copy_default_276: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_13, [0, 2, 1, 3])
2025-03-21T20:26:23.1145099Z             aten_select_copy_int_334: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_276, 0, 0);  aten_permute_copy_default_276 = None
2025-03-21T20:26:23.1145611Z             aten_select_copy_int_335: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_334, 0, 11);  aten_select_copy_int_334 = None
2025-03-21T20:26:23.1147948Z             aten_cat_default_27: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_313, aten_select_copy_int_315, aten_select_copy_int_317, aten_select_copy_int_319, aten_select_copy_int_321, aten_select_copy_int_323, aten_select_copy_int_325, aten_select_copy_int_327, aten_select_copy_int_329, aten_select_copy_int_331, aten_select_copy_int_333, aten_select_copy_int_335]);  aten_select_copy_int_313 = aten_select_copy_int_315 = aten_select_copy_int_317 = aten_select_copy_int_319 = aten_select_copy_int_321 = aten_select_copy_int_323 = aten_select_copy_int_325 = aten_select_copy_int_327 = aten_select_copy_int_329 = aten_select_copy_int_331 = aten_select_copy_int_333 = aten_select_copy_int_335 = None
2025-03-21T20:26:23.1148481Z             aten_view_copy_default_118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_27, [1, 12, 128, 64]);  aten_cat_default_27 = None
2025-03-21T20:26:23.1148583Z             
2025-03-21T20:26:23.1149081Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1149711Z             aten_index_tensor_8: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_6_attention_mask, [attn_options_input_pos]);  b_layers_6_attention_mask = None
2025-03-21T20:26:23.1149807Z             
2025-03-21T20:26:23.1150391Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1151006Z             aten_permute_copy_default_277: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_117, [0, 1, 3, 2]);  aten_view_copy_default_117 = None
2025-03-21T20:26:23.1151607Z             aten_expand_copy_default_24: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_252, [1, 12, 1, 64]);  aten_permute_copy_default_252 = None
2025-03-21T20:26:23.1152187Z             aten_view_copy_default_119: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_24, [12, 1, 64]);  aten_expand_copy_default_24 = None
2025-03-21T20:26:23.1152801Z             aten_expand_copy_default_25: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_277, [1, 12, 64, 128]);  aten_permute_copy_default_277 = None
2025-03-21T20:26:23.1153454Z             aten_view_copy_default_120: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_25, [12, 64, 128]);  aten_expand_copy_default_25 = None
2025-03-21T20:26:23.1154127Z             aten_bmm_default_12: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_119, aten_view_copy_default_120);  aten_view_copy_default_119 = aten_view_copy_default_120 = None
2025-03-21T20:26:23.1154672Z             aten_view_copy_default_121: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_12, [1, 12, 1, 128]);  aten_bmm_default_12 = None
2025-03-21T20:26:23.1155339Z             aten_mul_tensor_100: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_121, _lifted_tensor_constant44);  aten_view_copy_default_121 = _lifted_tensor_constant44 = None
2025-03-21T20:26:23.1155464Z             
2025-03-21T20:26:23.1155953Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1156527Z             aten_add_tensor_32: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_100, aten_index_tensor_8);  aten_mul_tensor_100 = aten_index_tensor_8 = None
2025-03-21T20:26:23.1156619Z             
2025-03-21T20:26:23.1157205Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1157713Z             aten__softmax_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_32, -1, False);  aten_add_tensor_32 = None
2025-03-21T20:26:23.1157817Z             
2025-03-21T20:26:23.1158281Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1158871Z             aten_expand_copy_default_26: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_6, [1, 12, 1, 128]);  aten__softmax_default_6 = None
2025-03-21T20:26:23.1159442Z             aten_view_copy_default_122: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_26, [12, 1, 128]);  aten_expand_copy_default_26 = None
2025-03-21T20:26:23.1160044Z             aten_expand_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_118, [1, 12, 128, 64]);  aten_view_copy_default_118 = None
2025-03-21T20:26:23.1160668Z             aten_view_copy_default_123: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_27, [12, 128, 64]);  aten_expand_copy_default_27 = None
2025-03-21T20:26:23.1161347Z             aten_bmm_default_13: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_122, aten_view_copy_default_123);  aten_view_copy_default_122 = aten_view_copy_default_123 = None
2025-03-21T20:26:23.1161865Z             aten_view_copy_default_124: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_13, [1, 12, 1, 64]);  aten_bmm_default_13 = None
2025-03-21T20:26:23.1161956Z             
2025-03-21T20:26:23.1162600Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1163196Z             aten_permute_copy_default_278: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_124, [0, 2, 1, 3]);  aten_view_copy_default_124 = None
2025-03-21T20:26:23.1163791Z             aten_view_copy_default_125: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_278, [1, 1, 768]);  aten_permute_copy_default_278 = None
2025-03-21T20:26:23.1163882Z             
2025-03-21T20:26:23.1164441Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1165027Z             aten_unsqueeze_copy_default_73: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_125, -1);  aten_view_copy_default_125 = None
2025-03-21T20:26:23.1165131Z             
2025-03-21T20:26:23.1165539Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1166180Z             aten_permute_copy_default_279: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_73, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_73 = None
2025-03-21T20:26:23.1166296Z             
2025-03-21T20:26:23.1166677Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1167612Z             aten_convolution_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_279, p_layers_6_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_279 = p_layers_6_attention_wo_conv_weight = None
2025-03-21T20:26:23.1167703Z             
2025-03-21T20:26:23.1168141Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1168758Z             aten_permute_copy_default_280: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_45, [0, 2, 1, 3]);  aten_convolution_default_45 = None
2025-03-21T20:26:23.1168862Z             
2025-03-21T20:26:23.1169406Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1169987Z             aten_squeeze_copy_dims_73: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_280, [-1]);  aten_permute_copy_default_280 = None
2025-03-21T20:26:23.1170078Z             
2025-03-21T20:26:23.1170467Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1171079Z             aten_add_tensor_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_29, aten_squeeze_copy_dims_73);  aten_add_tensor_29 = aten_squeeze_copy_dims_73 = None
2025-03-21T20:26:23.1171205Z             
2025-03-21T20:26:23.1171719Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1172103Z             aten_pow_tensor_scalar_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_33, 2)
2025-03-21T20:26:23.1172582Z             aten_mean_dim_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_13, [2], True);  aten_pow_tensor_scalar_13 = None
2025-03-21T20:26:23.1173039Z             aten_add_scalar_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_13, 9.999999747378752e-06);  aten_mean_dim_13 = None
2025-03-21T20:26:23.1173480Z             aten_rsqrt_default_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_13);  aten_add_scalar_13 = None
2025-03-21T20:26:23.1173984Z             aten_mul_tensor_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_33, aten_rsqrt_default_13);  aten_rsqrt_default_13 = None
2025-03-21T20:26:23.1174604Z             aten_mul_tensor_102: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_101, p_layers_6_ffn_norm_weight);  aten_mul_tensor_101 = p_layers_6_ffn_norm_weight = None
2025-03-21T20:26:23.1174718Z             
2025-03-21T20:26:23.1175255Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1175858Z             aten_unsqueeze_copy_default_74: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_102, -1)
2025-03-21T20:26:23.1175967Z             
2025-03-21T20:26:23.1176382Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1177017Z             aten_permute_copy_default_281: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_74, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_74 = None
2025-03-21T20:26:23.1177164Z             
2025-03-21T20:26:23.1177532Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1178490Z             aten_convolution_default_46: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_281, p_layers_6_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_281 = p_layers_6_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1178581Z             
2025-03-21T20:26:23.1179018Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1179642Z             aten_permute_copy_default_282: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_46, [0, 2, 1, 3]);  aten_convolution_default_46 = None
2025-03-21T20:26:23.1179752Z             
2025-03-21T20:26:23.1180292Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1180877Z             aten_squeeze_copy_dims_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_282, [-1]);  aten_permute_copy_default_282 = None
2025-03-21T20:26:23.1180969Z             
2025-03-21T20:26:23.1181564Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1182005Z             aten_sigmoid_default_6: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_74)
2025-03-21T20:26:23.1182698Z             aten_mul_tensor_103: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_74, aten_sigmoid_default_6);  aten_squeeze_copy_dims_74 = aten_sigmoid_default_6 = None
2025-03-21T20:26:23.1182790Z             
2025-03-21T20:26:23.1183315Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1183862Z             aten_unsqueeze_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_102, -1);  aten_mul_tensor_102 = None
2025-03-21T20:26:23.1183952Z             
2025-03-21T20:26:23.1184370Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1184997Z             aten_permute_copy_default_283: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_75, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_75 = None
2025-03-21T20:26:23.1185101Z             
2025-03-21T20:26:23.1185471Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1186456Z             aten_convolution_default_47: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_283, p_layers_6_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_283 = p_layers_6_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1186552Z             
2025-03-21T20:26:23.1186986Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1187602Z             aten_permute_copy_default_284: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_47, [0, 2, 1, 3]);  aten_convolution_default_47 = None
2025-03-21T20:26:23.1187695Z             
2025-03-21T20:26:23.1188247Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1188844Z             aten_squeeze_copy_dims_75: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_284, [-1]);  aten_permute_copy_default_284 = None
2025-03-21T20:26:23.1188950Z             
2025-03-21T20:26:23.1189468Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1190090Z             aten_mul_tensor_104: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_103, aten_squeeze_copy_dims_75);  aten_mul_tensor_103 = aten_squeeze_copy_dims_75 = None
2025-03-21T20:26:23.1190183Z             
2025-03-21T20:26:23.1190718Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1191267Z             aten_unsqueeze_copy_default_76: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_104, -1);  aten_mul_tensor_104 = None
2025-03-21T20:26:23.1191372Z             
2025-03-21T20:26:23.1191781Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1192411Z             aten_permute_copy_default_285: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_76, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_76 = None
2025-03-21T20:26:23.1192510Z             
2025-03-21T20:26:23.1192900Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1193870Z             aten_convolution_default_48: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_285, p_layers_6_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_285 = p_layers_6_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1193963Z             
2025-03-21T20:26:23.1194402Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1195015Z             aten_permute_copy_default_286: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_48, [0, 2, 1, 3]);  aten_convolution_default_48 = None
2025-03-21T20:26:23.1195122Z             
2025-03-21T20:26:23.1195664Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1196243Z             aten_squeeze_copy_dims_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_286, [-1]);  aten_permute_copy_default_286 = None
2025-03-21T20:26:23.1196337Z             
2025-03-21T20:26:23.1196851Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1197479Z             aten_add_tensor_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_33, aten_squeeze_copy_dims_76);  aten_add_tensor_33 = aten_squeeze_copy_dims_76 = None
2025-03-21T20:26:23.1197570Z             
2025-03-21T20:26:23.1198153Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1198540Z             aten_pow_tensor_scalar_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_34, 2)
2025-03-21T20:26:23.1199020Z             aten_mean_dim_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_14, [2], True);  aten_pow_tensor_scalar_14 = None
2025-03-21T20:26:23.1199501Z             aten_add_scalar_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_14, 9.999999747378752e-06);  aten_mean_dim_14 = None
2025-03-21T20:26:23.1199944Z             aten_rsqrt_default_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_14);  aten_add_scalar_14 = None
2025-03-21T20:26:23.1200443Z             aten_mul_tensor_105: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_34, aten_rsqrt_default_14);  aten_rsqrt_default_14 = None
2025-03-21T20:26:23.1201117Z             aten_mul_tensor_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_105, p_layers_7_attention_norm_weight);  aten_mul_tensor_105 = p_layers_7_attention_norm_weight = None
2025-03-21T20:26:23.1201210Z             
2025-03-21T20:26:23.1201746Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1202185Z             aten_unsqueeze_copy_default_77: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_106, -1)
2025-03-21T20:26:23.1202292Z             
2025-03-21T20:26:23.1202703Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1203326Z             aten_permute_copy_default_287: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_77, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_77 = None
2025-03-21T20:26:23.1203454Z             
2025-03-21T20:26:23.1203851Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1204789Z             aten_convolution_default_49: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_287, p_layers_7_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_287 = p_layers_7_attention_wq_conv_weight = None
2025-03-21T20:26:23.1204887Z             
2025-03-21T20:26:23.1205329Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1205941Z             aten_permute_copy_default_288: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_49, [0, 2, 1, 3]);  aten_convolution_default_49 = None
2025-03-21T20:26:23.1206045Z             
2025-03-21T20:26:23.1206591Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1207170Z             aten_squeeze_copy_dims_77: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_288, [-1]);  aten_permute_copy_default_288 = None
2025-03-21T20:26:23.1207264Z             
2025-03-21T20:26:23.1207808Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1208261Z             aten_unsqueeze_copy_default_78: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_106, -1)
2025-03-21T20:26:23.1208354Z             
2025-03-21T20:26:23.1208776Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1209400Z             aten_permute_copy_default_289: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_78, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_78 = None
2025-03-21T20:26:23.1209508Z             
2025-03-21T20:26:23.1209901Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1210830Z             aten_convolution_default_50: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_289, p_layers_7_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_289 = p_layers_7_attention_wk_conv_weight = None
2025-03-21T20:26:23.1210923Z             
2025-03-21T20:26:23.1211359Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1211972Z             aten_permute_copy_default_290: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_50, [0, 2, 1, 3]);  aten_convolution_default_50 = None
2025-03-21T20:26:23.1212067Z             
2025-03-21T20:26:23.1212623Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1213194Z             aten_squeeze_copy_dims_78: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_290, [-1]);  aten_permute_copy_default_290 = None
2025-03-21T20:26:23.1213301Z             
2025-03-21T20:26:23.1213816Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1214369Z             aten_unsqueeze_copy_default_79: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_106, -1);  aten_mul_tensor_106 = None
2025-03-21T20:26:23.1214490Z             
2025-03-21T20:26:23.1214936Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1215561Z             aten_permute_copy_default_291: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_79, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_79 = None
2025-03-21T20:26:23.1215668Z             
2025-03-21T20:26:23.1216037Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1216966Z             aten_convolution_default_51: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_291, p_layers_7_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_291 = p_layers_7_attention_wv_conv_weight = None
2025-03-21T20:26:23.1217060Z             
2025-03-21T20:26:23.1217490Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1218115Z             aten_permute_copy_default_292: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_51, [0, 2, 1, 3]);  aten_convolution_default_51 = None
2025-03-21T20:26:23.1218210Z             
2025-03-21T20:26:23.1218778Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1219344Z             aten_squeeze_copy_dims_79: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_292, [-1]);  aten_permute_copy_default_292 = None
2025-03-21T20:26:23.1219447Z             
2025-03-21T20:26:23.1219968Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1220546Z             aten_view_copy_default_126: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_77, [1, 1, 12, 64]);  aten_squeeze_copy_dims_77 = None
2025-03-21T20:26:23.1220670Z             
2025-03-21T20:26:23.1221210Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1221835Z             aten_view_copy_default_127: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_78, [1, 1, 12, 64]);  aten_squeeze_copy_dims_78 = None
2025-03-21T20:26:23.1221925Z             
2025-03-21T20:26:23.1222459Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1223015Z             aten_view_copy_default_128: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_79, [1, 1, 12, 64]);  aten_squeeze_copy_dims_79 = None
2025-03-21T20:26:23.1223121Z             
2025-03-21T20:26:23.1223654Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1224245Z             aten_view_copy_default_129: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_126, [1, 1, 12, -1, 2]);  aten_view_copy_default_126 = None
2025-03-21T20:26:23.1224672Z             aten_slice_copy_tensor_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_129, 4, 0, 1)
2025-03-21T20:26:23.1225228Z             aten_slice_copy_tensor_29: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_129, 4, 1, 2);  aten_view_copy_default_129 = None
2025-03-21T20:26:23.1225821Z             aten_squeeze_copy_dims_80: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_28, [4]);  aten_slice_copy_tensor_28 = None
2025-03-21T20:26:23.1226359Z             aten_squeeze_copy_dims_81: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_29, [4]);  aten_slice_copy_tensor_29 = None
2025-03-21T20:26:23.1226450Z             
2025-03-21T20:26:23.1226991Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1227562Z             aten_view_copy_default_130: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_127, [1, 1, 12, -1, 2]);  aten_view_copy_default_127 = None
2025-03-21T20:26:23.1228003Z             aten_slice_copy_tensor_30: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_130, 4, 0, 1)
2025-03-21T20:26:23.1228550Z             aten_slice_copy_tensor_31: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_130, 4, 1, 2);  aten_view_copy_default_130 = None
2025-03-21T20:26:23.1229114Z             aten_squeeze_copy_dims_82: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_30, [4]);  aten_slice_copy_tensor_30 = None
2025-03-21T20:26:23.1229643Z             aten_squeeze_copy_dims_83: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_31, [4]);  aten_slice_copy_tensor_31 = None
2025-03-21T20:26:23.1229735Z             
2025-03-21T20:26:23.1230192Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1230612Z             aten_view_copy_default_131: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.1230717Z             
2025-03-21T20:26:23.1231161Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1231621Z             aten_view_copy_default_132: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.1231713Z             
2025-03-21T20:26:23.1232205Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1232650Z             aten_mul_tensor_107: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_80, aten_view_copy_default_131)
2025-03-21T20:26:23.1233107Z             aten_mul_tensor_108: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_81, aten_view_copy_default_132)
2025-03-21T20:26:23.1233664Z             aten_sub_tensor_14: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_107, aten_mul_tensor_108);  aten_mul_tensor_107 = aten_mul_tensor_108 = None
2025-03-21T20:26:23.1233756Z             
2025-03-21T20:26:23.1234246Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1234811Z             aten_mul_tensor_109: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_80, aten_view_copy_default_132);  aten_squeeze_copy_dims_80 = None
2025-03-21T20:26:23.1235374Z             aten_mul_tensor_110: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_81, aten_view_copy_default_131);  aten_squeeze_copy_dims_81 = None
2025-03-21T20:26:23.1235973Z             aten_add_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_109, aten_mul_tensor_110);  aten_mul_tensor_109 = aten_mul_tensor_110 = None
2025-03-21T20:26:23.1236077Z             
2025-03-21T20:26:23.1236561Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1237017Z             aten_mul_tensor_111: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_82, aten_view_copy_default_131)
2025-03-21T20:26:23.1237461Z             aten_mul_tensor_112: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_83, aten_view_copy_default_132)
2025-03-21T20:26:23.1238024Z             aten_sub_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_111, aten_mul_tensor_112);  aten_mul_tensor_111 = aten_mul_tensor_112 = None
2025-03-21T20:26:23.1238118Z             
2025-03-21T20:26:23.1238610Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1239265Z             aten_mul_tensor_113: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_82, aten_view_copy_default_132);  aten_squeeze_copy_dims_82 = aten_view_copy_default_132 = None
2025-03-21T20:26:23.1239952Z             aten_mul_tensor_114: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_83, aten_view_copy_default_131);  aten_squeeze_copy_dims_83 = aten_view_copy_default_131 = None
2025-03-21T20:26:23.1240506Z             aten_add_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_113, aten_mul_tensor_114);  aten_mul_tensor_113 = aten_mul_tensor_114 = None
2025-03-21T20:26:23.1240599Z             
2025-03-21T20:26:23.1241146Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1241669Z             aten_unsqueeze_copy_default_80: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_14, 4);  aten_sub_tensor_14 = None
2025-03-21T20:26:23.1242230Z             aten_unsqueeze_copy_default_81: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_35, 4);  aten_add_tensor_35 = None
2025-03-21T20:26:23.1242980Z             aten_cat_default_28: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_80, aten_unsqueeze_copy_default_81], -1);  aten_unsqueeze_copy_default_80 = aten_unsqueeze_copy_default_81 = None
2025-03-21T20:26:23.1243511Z             aten_view_copy_default_133: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_28, [1, 1, 12, 64]);  aten_cat_default_28 = None
2025-03-21T20:26:23.1243608Z             
2025-03-21T20:26:23.1244148Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1244671Z             aten_unsqueeze_copy_default_82: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_15, 4);  aten_sub_tensor_15 = None
2025-03-21T20:26:23.1245205Z             aten_unsqueeze_copy_default_83: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_36, 4);  aten_add_tensor_36 = None
2025-03-21T20:26:23.1245958Z             aten_cat_default_29: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_82, aten_unsqueeze_copy_default_83], -1);  aten_unsqueeze_copy_default_82 = aten_unsqueeze_copy_default_83 = None
2025-03-21T20:26:23.1246542Z             aten_view_copy_default_134: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_29, [1, 1, 12, 64]);  aten_cat_default_29 = None
2025-03-21T20:26:23.1246632Z             
2025-03-21T20:26:23.1247179Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1247773Z             aten_permute_copy_default_293: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_133, [0, 2, 1, 3]);  aten_view_copy_default_133 = None
2025-03-21T20:26:23.1247876Z             
2025-03-21T20:26:23.1248551Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1249359Z             aten_index_put_default_14: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_7_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_134);  aten_view_copy_default_134 = None
2025-03-21T20:26:23.1249451Z             
2025-03-21T20:26:23.1250119Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1250946Z             aten_index_put_default_15: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_7_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_128);  aten_view_copy_default_128 = None
2025-03-21T20:26:23.1251037Z             
2025-03-21T20:26:23.1251694Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1252184Z             aten_permute_copy_default_294: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1252749Z             aten_select_copy_int_336: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_294, 0, 0);  aten_permute_copy_default_294 = None
2025-03-21T20:26:23.1253282Z             aten_select_copy_int_337: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_336, 0, 0);  aten_select_copy_int_336 = None
2025-03-21T20:26:23.1253772Z             aten_permute_copy_default_295: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1254320Z             aten_select_copy_int_338: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_295, 0, 0);  aten_permute_copy_default_295 = None
2025-03-21T20:26:23.1254841Z             aten_select_copy_int_339: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_338, 0, 1);  aten_select_copy_int_338 = None
2025-03-21T20:26:23.1255318Z             aten_permute_copy_default_296: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1255882Z             aten_select_copy_int_340: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_296, 0, 0);  aten_permute_copy_default_296 = None
2025-03-21T20:26:23.1256390Z             aten_select_copy_int_341: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_340, 0, 2);  aten_select_copy_int_340 = None
2025-03-21T20:26:23.1256877Z             aten_permute_copy_default_297: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1257473Z             aten_select_copy_int_342: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_297, 0, 0);  aten_permute_copy_default_297 = None
2025-03-21T20:26:23.1257990Z             aten_select_copy_int_343: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_342, 0, 3);  aten_select_copy_int_342 = None
2025-03-21T20:26:23.1258470Z             aten_permute_copy_default_298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1259032Z             aten_select_copy_int_344: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_298, 0, 0);  aten_permute_copy_default_298 = None
2025-03-21T20:26:23.1259538Z             aten_select_copy_int_345: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_344, 0, 4);  aten_select_copy_int_344 = None
2025-03-21T20:26:23.1260027Z             aten_permute_copy_default_299: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1260575Z             aten_select_copy_int_346: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_299, 0, 0);  aten_permute_copy_default_299 = None
2025-03-21T20:26:23.1261118Z             aten_select_copy_int_347: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_346, 0, 5);  aten_select_copy_int_346 = None
2025-03-21T20:26:23.1261666Z             aten_permute_copy_default_300: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1262227Z             aten_select_copy_int_348: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_300, 0, 0);  aten_permute_copy_default_300 = None
2025-03-21T20:26:23.1262736Z             aten_select_copy_int_349: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_348, 0, 6);  aten_select_copy_int_348 = None
2025-03-21T20:26:23.1263249Z             aten_permute_copy_default_301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1263817Z             aten_select_copy_int_350: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_301, 0, 0);  aten_permute_copy_default_301 = None
2025-03-21T20:26:23.1264324Z             aten_select_copy_int_351: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_350, 0, 7);  aten_select_copy_int_350 = None
2025-03-21T20:26:23.1264812Z             aten_permute_copy_default_302: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1265363Z             aten_select_copy_int_352: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_302, 0, 0);  aten_permute_copy_default_302 = None
2025-03-21T20:26:23.1265878Z             aten_select_copy_int_353: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_352, 0, 8);  aten_select_copy_int_352 = None
2025-03-21T20:26:23.1266356Z             aten_permute_copy_default_303: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1266913Z             aten_select_copy_int_354: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_303, 0, 0);  aten_permute_copy_default_303 = None
2025-03-21T20:26:23.1267419Z             aten_select_copy_int_355: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_354, 0, 9);  aten_select_copy_int_354 = None
2025-03-21T20:26:23.1267958Z             aten_permute_copy_default_304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1268510Z             aten_select_copy_int_356: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_304, 0, 0);  aten_permute_copy_default_304 = None
2025-03-21T20:26:23.1269031Z             aten_select_copy_int_357: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_356, 0, 10);  aten_select_copy_int_356 = None
2025-03-21T20:26:23.1269507Z             aten_permute_copy_default_305: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_14, [0, 2, 1, 3])
2025-03-21T20:26:23.1270070Z             aten_select_copy_int_358: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_305, 0, 0);  aten_permute_copy_default_305 = None
2025-03-21T20:26:23.1270579Z             aten_select_copy_int_359: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_358, 0, 11);  aten_select_copy_int_358 = None
2025-03-21T20:26:23.1272943Z             aten_cat_default_30: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_337, aten_select_copy_int_339, aten_select_copy_int_341, aten_select_copy_int_343, aten_select_copy_int_345, aten_select_copy_int_347, aten_select_copy_int_349, aten_select_copy_int_351, aten_select_copy_int_353, aten_select_copy_int_355, aten_select_copy_int_357, aten_select_copy_int_359]);  aten_select_copy_int_337 = aten_select_copy_int_339 = aten_select_copy_int_341 = aten_select_copy_int_343 = aten_select_copy_int_345 = aten_select_copy_int_347 = aten_select_copy_int_349 = aten_select_copy_int_351 = aten_select_copy_int_353 = aten_select_copy_int_355 = aten_select_copy_int_357 = aten_select_copy_int_359 = None
2025-03-21T20:26:23.1273483Z             aten_view_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_30, [1, 12, 128, 64]);  aten_cat_default_30 = None
2025-03-21T20:26:23.1273613Z             
2025-03-21T20:26:23.1274264Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1274755Z             aten_permute_copy_default_306: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1275306Z             aten_select_copy_int_360: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_306, 0, 0);  aten_permute_copy_default_306 = None
2025-03-21T20:26:23.1276038Z             aten_select_copy_int_361: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_360, 0, 0);  aten_select_copy_int_360 = None
2025-03-21T20:26:23.1276521Z             aten_permute_copy_default_307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1277090Z             aten_select_copy_int_362: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_307, 0, 0);  aten_permute_copy_default_307 = None
2025-03-21T20:26:23.1277596Z             aten_select_copy_int_363: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_362, 0, 1);  aten_select_copy_int_362 = None
2025-03-21T20:26:23.1278092Z             aten_permute_copy_default_308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1278702Z             aten_select_copy_int_364: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_308, 0, 0);  aten_permute_copy_default_308 = None
2025-03-21T20:26:23.1279251Z             aten_select_copy_int_365: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_364, 0, 2);  aten_select_copy_int_364 = None
2025-03-21T20:26:23.1279732Z             aten_permute_copy_default_309: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1280293Z             aten_select_copy_int_366: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_309, 0, 0);  aten_permute_copy_default_309 = None
2025-03-21T20:26:23.1280798Z             aten_select_copy_int_367: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_366, 0, 3);  aten_select_copy_int_366 = None
2025-03-21T20:26:23.1281291Z             aten_permute_copy_default_310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1281842Z             aten_select_copy_int_368: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_310, 0, 0);  aten_permute_copy_default_310 = None
2025-03-21T20:26:23.1282403Z             aten_select_copy_int_369: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_368, 0, 4);  aten_select_copy_int_368 = None
2025-03-21T20:26:23.1282883Z             aten_permute_copy_default_311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1283444Z             aten_select_copy_int_370: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_311, 0, 0);  aten_permute_copy_default_311 = None
2025-03-21T20:26:23.1283952Z             aten_select_copy_int_371: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_370, 0, 5);  aten_select_copy_int_370 = None
2025-03-21T20:26:23.1284439Z             aten_permute_copy_default_312: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1285028Z             aten_select_copy_int_372: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_312, 0, 0);  aten_permute_copy_default_312 = None
2025-03-21T20:26:23.1285551Z             aten_select_copy_int_373: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_372, 0, 6);  aten_select_copy_int_372 = None
2025-03-21T20:26:23.1286029Z             aten_permute_copy_default_313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1286590Z             aten_select_copy_int_374: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_313, 0, 0);  aten_permute_copy_default_313 = None
2025-03-21T20:26:23.1287096Z             aten_select_copy_int_375: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_374, 0, 7);  aten_select_copy_int_374 = None
2025-03-21T20:26:23.1287576Z             aten_permute_copy_default_314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1288139Z             aten_select_copy_int_376: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_314, 0, 0);  aten_permute_copy_default_314 = None
2025-03-21T20:26:23.1288643Z             aten_select_copy_int_377: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_376, 0, 8);  aten_select_copy_int_376 = None
2025-03-21T20:26:23.1289185Z             aten_permute_copy_default_315: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1289736Z             aten_select_copy_int_378: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_315, 0, 0);  aten_permute_copy_default_315 = None
2025-03-21T20:26:23.1290254Z             aten_select_copy_int_379: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_378, 0, 9);  aten_select_copy_int_378 = None
2025-03-21T20:26:23.1290733Z             aten_permute_copy_default_316: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1291299Z             aten_select_copy_int_380: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_316, 0, 0);  aten_permute_copy_default_316 = None
2025-03-21T20:26:23.1291813Z             aten_select_copy_int_381: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_380, 0, 10);  aten_select_copy_int_380 = None
2025-03-21T20:26:23.1292302Z             aten_permute_copy_default_317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_15, [0, 2, 1, 3])
2025-03-21T20:26:23.1292880Z             aten_select_copy_int_382: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_317, 0, 0);  aten_permute_copy_default_317 = None
2025-03-21T20:26:23.1293402Z             aten_select_copy_int_383: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_382, 0, 11);  aten_select_copy_int_382 = None
2025-03-21T20:26:23.1295743Z             aten_cat_default_31: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_361, aten_select_copy_int_363, aten_select_copy_int_365, aten_select_copy_int_367, aten_select_copy_int_369, aten_select_copy_int_371, aten_select_copy_int_373, aten_select_copy_int_375, aten_select_copy_int_377, aten_select_copy_int_379, aten_select_copy_int_381, aten_select_copy_int_383]);  aten_select_copy_int_361 = aten_select_copy_int_363 = aten_select_copy_int_365 = aten_select_copy_int_367 = aten_select_copy_int_369 = aten_select_copy_int_371 = aten_select_copy_int_373 = aten_select_copy_int_375 = aten_select_copy_int_377 = aten_select_copy_int_379 = aten_select_copy_int_381 = aten_select_copy_int_383 = None
2025-03-21T20:26:23.1296317Z             aten_view_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_31, [1, 12, 128, 64]);  aten_cat_default_31 = None
2025-03-21T20:26:23.1296407Z             
2025-03-21T20:26:23.1296924Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1297509Z             aten_index_tensor_9: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_7_attention_mask, [attn_options_input_pos]);  b_layers_7_attention_mask = None
2025-03-21T20:26:23.1297617Z             
2025-03-21T20:26:23.1298205Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1298826Z             aten_permute_copy_default_318: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_135, [0, 1, 3, 2]);  aten_view_copy_default_135 = None
2025-03-21T20:26:23.1299433Z             aten_expand_copy_default_28: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_293, [1, 12, 1, 64]);  aten_permute_copy_default_293 = None
2025-03-21T20:26:23.1300050Z             aten_view_copy_default_137: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_28, [12, 1, 64]);  aten_expand_copy_default_28 = None
2025-03-21T20:26:23.1300686Z             aten_expand_copy_default_29: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_318, [1, 12, 64, 128]);  aten_permute_copy_default_318 = None
2025-03-21T20:26:23.1301353Z             aten_view_copy_default_138: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_29, [12, 64, 128]);  aten_expand_copy_default_29 = None
2025-03-21T20:26:23.1302032Z             aten_bmm_default_14: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_137, aten_view_copy_default_138);  aten_view_copy_default_137 = aten_view_copy_default_138 = None
2025-03-21T20:26:23.1302576Z             aten_view_copy_default_139: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_14, [1, 12, 1, 128]);  aten_bmm_default_14 = None
2025-03-21T20:26:23.1303254Z             aten_mul_tensor_115: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_139, _lifted_tensor_constant45);  aten_view_copy_default_139 = _lifted_tensor_constant45 = None
2025-03-21T20:26:23.1303363Z             
2025-03-21T20:26:23.1303900Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1304484Z             aten_add_tensor_37: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_115, aten_index_tensor_9);  aten_mul_tensor_115 = aten_index_tensor_9 = None
2025-03-21T20:26:23.1304574Z             
2025-03-21T20:26:23.1305161Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1305673Z             aten__softmax_default_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_37, -1, False);  aten_add_tensor_37 = None
2025-03-21T20:26:23.1305763Z             
2025-03-21T20:26:23.1306242Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1306851Z             aten_expand_copy_default_30: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_7, [1, 12, 1, 128]);  aten__softmax_default_7 = None
2025-03-21T20:26:23.1307438Z             aten_view_copy_default_140: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_30, [12, 1, 128]);  aten_expand_copy_default_30 = None
2025-03-21T20:26:23.1308033Z             aten_expand_copy_default_31: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_136, [1, 12, 128, 64]);  aten_view_copy_default_136 = None
2025-03-21T20:26:23.1308632Z             aten_view_copy_default_141: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_31, [12, 128, 64]);  aten_expand_copy_default_31 = None
2025-03-21T20:26:23.1309297Z             aten_bmm_default_15: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_140, aten_view_copy_default_141);  aten_view_copy_default_140 = aten_view_copy_default_141 = None
2025-03-21T20:26:23.1309831Z             aten_view_copy_default_142: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_15, [1, 12, 1, 64]);  aten_bmm_default_15 = None
2025-03-21T20:26:23.1309922Z             
2025-03-21T20:26:23.1310568Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1311213Z             aten_permute_copy_default_319: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_142, [0, 2, 1, 3]);  aten_view_copy_default_142 = None
2025-03-21T20:26:23.1311809Z             aten_view_copy_default_143: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_319, [1, 1, 768]);  aten_permute_copy_default_319 = None
2025-03-21T20:26:23.1311898Z             
2025-03-21T20:26:23.1312439Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1313030Z             aten_unsqueeze_copy_default_84: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_143, -1);  aten_view_copy_default_143 = None
2025-03-21T20:26:23.1313132Z             
2025-03-21T20:26:23.1313543Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1314172Z             aten_permute_copy_default_320: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_84, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_84 = None
2025-03-21T20:26:23.1314276Z             
2025-03-21T20:26:23.1314647Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1315619Z             aten_convolution_default_52: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_320, p_layers_7_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_320 = p_layers_7_attention_wo_conv_weight = None
2025-03-21T20:26:23.1315713Z             
2025-03-21T20:26:23.1316151Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1316769Z             aten_permute_copy_default_321: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_52, [0, 2, 1, 3]);  aten_convolution_default_52 = None
2025-03-21T20:26:23.1316895Z             
2025-03-21T20:26:23.1317440Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1318022Z             aten_squeeze_copy_dims_84: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_321, [-1]);  aten_permute_copy_default_321 = None
2025-03-21T20:26:23.1318116Z             
2025-03-21T20:26:23.1318494Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1319102Z             aten_add_tensor_38: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_34, aten_squeeze_copy_dims_84);  aten_add_tensor_34 = aten_squeeze_copy_dims_84 = None
2025-03-21T20:26:23.1319192Z             
2025-03-21T20:26:23.1319719Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1320105Z             aten_pow_tensor_scalar_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_38, 2)
2025-03-21T20:26:23.1320589Z             aten_mean_dim_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_15, [2], True);  aten_pow_tensor_scalar_15 = None
2025-03-21T20:26:23.1321049Z             aten_add_scalar_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_15, 9.999999747378752e-06);  aten_mean_dim_15 = None
2025-03-21T20:26:23.1321493Z             aten_rsqrt_default_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_15);  aten_add_scalar_15 = None
2025-03-21T20:26:23.1322075Z             aten_mul_tensor_116: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_38, aten_rsqrt_default_15);  aten_rsqrt_default_15 = None
2025-03-21T20:26:23.1322699Z             aten_mul_tensor_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_116, p_layers_7_ffn_norm_weight);  aten_mul_tensor_116 = p_layers_7_ffn_norm_weight = None
2025-03-21T20:26:23.1322794Z             
2025-03-21T20:26:23.1323330Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1323765Z             aten_unsqueeze_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_117, -1)
2025-03-21T20:26:23.1323855Z             
2025-03-21T20:26:23.1324276Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1324911Z             aten_permute_copy_default_322: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_85, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_85 = None
2025-03-21T20:26:23.1325010Z             
2025-03-21T20:26:23.1325378Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1326361Z             aten_convolution_default_53: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_322, p_layers_7_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_322 = p_layers_7_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1326454Z             
2025-03-21T20:26:23.1326888Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1327511Z             aten_permute_copy_default_323: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_53, [0, 2, 1, 3]);  aten_convolution_default_53 = None
2025-03-21T20:26:23.1327638Z             
2025-03-21T20:26:23.1328182Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1328757Z             aten_squeeze_copy_dims_85: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_323, [-1]);  aten_permute_copy_default_323 = None
2025-03-21T20:26:23.1328857Z             
2025-03-21T20:26:23.1329376Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1329781Z             aten_sigmoid_default_7: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_85)
2025-03-21T20:26:23.1330427Z             aten_mul_tensor_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_85, aten_sigmoid_default_7);  aten_squeeze_copy_dims_85 = aten_sigmoid_default_7 = None
2025-03-21T20:26:23.1330532Z             
2025-03-21T20:26:23.1331055Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1331608Z             aten_unsqueeze_copy_default_86: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_117, -1);  aten_mul_tensor_117 = None
2025-03-21T20:26:23.1331697Z             
2025-03-21T20:26:23.1332118Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1332771Z             aten_permute_copy_default_324: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_86, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_86 = None
2025-03-21T20:26:23.1332885Z             
2025-03-21T20:26:23.1333266Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1334206Z             aten_convolution_default_54: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_324, p_layers_7_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_324 = p_layers_7_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1334308Z             
2025-03-21T20:26:23.1334734Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1335369Z             aten_permute_copy_default_325: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_54, [0, 2, 1, 3]);  aten_convolution_default_54 = None
2025-03-21T20:26:23.1335459Z             
2025-03-21T20:26:23.1336013Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1336615Z             aten_squeeze_copy_dims_86: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_325, [-1]);  aten_permute_copy_default_325 = None
2025-03-21T20:26:23.1336716Z             
2025-03-21T20:26:23.1337233Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1337858Z             aten_mul_tensor_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_118, aten_squeeze_copy_dims_86);  aten_mul_tensor_118 = aten_squeeze_copy_dims_86 = None
2025-03-21T20:26:23.1337950Z             
2025-03-21T20:26:23.1338475Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1339059Z             aten_unsqueeze_copy_default_87: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_119, -1);  aten_mul_tensor_119 = None
2025-03-21T20:26:23.1339147Z             
2025-03-21T20:26:23.1339569Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1340200Z             aten_permute_copy_default_326: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_87, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_87 = None
2025-03-21T20:26:23.1340301Z             
2025-03-21T20:26:23.1340671Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1341699Z             aten_convolution_default_55: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_326, p_layers_7_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_326 = p_layers_7_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1341796Z             
2025-03-21T20:26:23.1342237Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1342854Z             aten_permute_copy_default_327: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_55, [0, 2, 1, 3]);  aten_convolution_default_55 = None
2025-03-21T20:26:23.1342944Z             
2025-03-21T20:26:23.1343499Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1344140Z             aten_squeeze_copy_dims_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_327, [-1]);  aten_permute_copy_default_327 = None
2025-03-21T20:26:23.1344242Z             
2025-03-21T20:26:23.1344754Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1345366Z             aten_add_tensor_39: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_38, aten_squeeze_copy_dims_87);  aten_add_tensor_38 = aten_squeeze_copy_dims_87 = None
2025-03-21T20:26:23.1345455Z             
2025-03-21T20:26:23.1346035Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1346424Z             aten_pow_tensor_scalar_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_39, 2)
2025-03-21T20:26:23.1346905Z             aten_mean_dim_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_16, [2], True);  aten_pow_tensor_scalar_16 = None
2025-03-21T20:26:23.1347387Z             aten_add_scalar_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_16, 9.999999747378752e-06);  aten_mean_dim_16 = None
2025-03-21T20:26:23.1347832Z             aten_rsqrt_default_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_16);  aten_add_scalar_16 = None
2025-03-21T20:26:23.1348335Z             aten_mul_tensor_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_39, aten_rsqrt_default_16);  aten_rsqrt_default_16 = None
2025-03-21T20:26:23.1349009Z             aten_mul_tensor_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_120, p_layers_8_attention_norm_weight);  aten_mul_tensor_120 = p_layers_8_attention_norm_weight = None
2025-03-21T20:26:23.1349100Z             
2025-03-21T20:26:23.1349625Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1350097Z             aten_unsqueeze_copy_default_88: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_121, -1)
2025-03-21T20:26:23.1350188Z             
2025-03-21T20:26:23.1350608Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1351236Z             aten_permute_copy_default_328: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_88, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_88 = None
2025-03-21T20:26:23.1351341Z             
2025-03-21T20:26:23.1351712Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1352655Z             aten_convolution_default_56: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_328, p_layers_8_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_328 = p_layers_8_attention_wq_conv_weight = None
2025-03-21T20:26:23.1352747Z             
2025-03-21T20:26:23.1353186Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1353796Z             aten_permute_copy_default_329: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_56, [0, 2, 1, 3]);  aten_convolution_default_56 = None
2025-03-21T20:26:23.1353887Z             
2025-03-21T20:26:23.1354459Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1355071Z             aten_squeeze_copy_dims_88: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_329, [-1]);  aten_permute_copy_default_329 = None
2025-03-21T20:26:23.1355172Z             
2025-03-21T20:26:23.1355694Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1356142Z             aten_unsqueeze_copy_default_89: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_121, -1)
2025-03-21T20:26:23.1356233Z             
2025-03-21T20:26:23.1356654Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1357276Z             aten_permute_copy_default_330: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_89, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_89 = None
2025-03-21T20:26:23.1357383Z             
2025-03-21T20:26:23.1357751Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1358700Z             aten_convolution_default_57: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_330, p_layers_8_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_330 = p_layers_8_attention_wk_conv_weight = None
2025-03-21T20:26:23.1358803Z             
2025-03-21T20:26:23.1359229Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1359856Z             aten_permute_copy_default_331: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_57, [0, 2, 1, 3]);  aten_convolution_default_57 = None
2025-03-21T20:26:23.1359948Z             
2025-03-21T20:26:23.1360504Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1361100Z             aten_squeeze_copy_dims_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_331, [-1]);  aten_permute_copy_default_331 = None
2025-03-21T20:26:23.1367003Z             
2025-03-21T20:26:23.1367623Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1368189Z             aten_unsqueeze_copy_default_90: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_121, -1);  aten_mul_tensor_121 = None
2025-03-21T20:26:23.1368297Z             
2025-03-21T20:26:23.1368733Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1369369Z             aten_permute_copy_default_332: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_90, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_90 = None
2025-03-21T20:26:23.1369479Z             
2025-03-21T20:26:23.1369856Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1370804Z             aten_convolution_default_58: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_332, p_layers_8_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_332 = p_layers_8_attention_wv_conv_weight = None
2025-03-21T20:26:23.1370978Z             
2025-03-21T20:26:23.1371436Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1372067Z             aten_permute_copy_default_333: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_58, [0, 2, 1, 3]);  aten_convolution_default_58 = None
2025-03-21T20:26:23.1372162Z             
2025-03-21T20:26:23.1372720Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1373292Z             aten_squeeze_copy_dims_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_333, [-1]);  aten_permute_copy_default_333 = None
2025-03-21T20:26:23.1373391Z             
2025-03-21T20:26:23.1373912Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1374493Z             aten_view_copy_default_144: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_88, [1, 1, 12, 64]);  aten_squeeze_copy_dims_88 = None
2025-03-21T20:26:23.1374586Z             
2025-03-21T20:26:23.1375130Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1375946Z             aten_view_copy_default_145: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_89, [1, 1, 12, 64]);  aten_squeeze_copy_dims_89 = None
2025-03-21T20:26:23.1376043Z             
2025-03-21T20:26:23.1376595Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1377160Z             aten_view_copy_default_146: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_90, [1, 1, 12, 64]);  aten_squeeze_copy_dims_90 = None
2025-03-21T20:26:23.1377271Z             
2025-03-21T20:26:23.1377810Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1378446Z             aten_view_copy_default_147: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_144, [1, 1, 12, -1, 2]);  aten_view_copy_default_144 = None
2025-03-21T20:26:23.1378879Z             aten_slice_copy_tensor_32: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_147, 4, 0, 1)
2025-03-21T20:26:23.1379441Z             aten_slice_copy_tensor_33: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_147, 4, 1, 2);  aten_view_copy_default_147 = None
2025-03-21T20:26:23.1379978Z             aten_squeeze_copy_dims_91: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_32, [4]);  aten_slice_copy_tensor_32 = None
2025-03-21T20:26:23.1380522Z             aten_squeeze_copy_dims_92: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_33, [4]);  aten_slice_copy_tensor_33 = None
2025-03-21T20:26:23.1380614Z             
2025-03-21T20:26:23.1381162Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1381805Z             aten_view_copy_default_148: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_145, [1, 1, 12, -1, 2]);  aten_view_copy_default_145 = None
2025-03-21T20:26:23.1382296Z             aten_slice_copy_tensor_34: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_148, 4, 0, 1)
2025-03-21T20:26:23.1382876Z             aten_slice_copy_tensor_35: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_148, 4, 1, 2);  aten_view_copy_default_148 = None
2025-03-21T20:26:23.1383428Z             aten_squeeze_copy_dims_93: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_34, [4]);  aten_slice_copy_tensor_34 = None
2025-03-21T20:26:23.1383953Z             aten_squeeze_copy_dims_94: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_35, [4]);  aten_slice_copy_tensor_35 = None
2025-03-21T20:26:23.1384047Z             
2025-03-21T20:26:23.1384506Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1384925Z             aten_view_copy_default_149: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.1385033Z             
2025-03-21T20:26:23.1385473Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1385906Z             aten_view_copy_default_150: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.1386023Z             
2025-03-21T20:26:23.1386517Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1386966Z             aten_mul_tensor_122: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_91, aten_view_copy_default_149)
2025-03-21T20:26:23.1387420Z             aten_mul_tensor_123: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_92, aten_view_copy_default_150)
2025-03-21T20:26:23.1387975Z             aten_sub_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_122, aten_mul_tensor_123);  aten_mul_tensor_122 = aten_mul_tensor_123 = None
2025-03-21T20:26:23.1388094Z             
2025-03-21T20:26:23.1388587Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1389150Z             aten_mul_tensor_124: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_91, aten_view_copy_default_150);  aten_squeeze_copy_dims_91 = None
2025-03-21T20:26:23.1389720Z             aten_mul_tensor_125: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_92, aten_view_copy_default_149);  aten_squeeze_copy_dims_92 = None
2025-03-21T20:26:23.1390277Z             aten_add_tensor_40: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_124, aten_mul_tensor_125);  aten_mul_tensor_124 = aten_mul_tensor_125 = None
2025-03-21T20:26:23.1390381Z             
2025-03-21T20:26:23.1390858Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1391318Z             aten_mul_tensor_126: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_93, aten_view_copy_default_149)
2025-03-21T20:26:23.1391758Z             aten_mul_tensor_127: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_94, aten_view_copy_default_150)
2025-03-21T20:26:23.1392318Z             aten_sub_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_126, aten_mul_tensor_127);  aten_mul_tensor_126 = aten_mul_tensor_127 = None
2025-03-21T20:26:23.1392435Z             
2025-03-21T20:26:23.1392948Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1393609Z             aten_mul_tensor_128: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_93, aten_view_copy_default_150);  aten_squeeze_copy_dims_93 = aten_view_copy_default_150 = None
2025-03-21T20:26:23.1394276Z             aten_mul_tensor_129: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_94, aten_view_copy_default_149);  aten_squeeze_copy_dims_94 = aten_view_copy_default_149 = None
2025-03-21T20:26:23.1394824Z             aten_add_tensor_41: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_128, aten_mul_tensor_129);  aten_mul_tensor_128 = aten_mul_tensor_129 = None
2025-03-21T20:26:23.1394920Z             
2025-03-21T20:26:23.1395463Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1395991Z             aten_unsqueeze_copy_default_91: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_16, 4);  aten_sub_tensor_16 = None
2025-03-21T20:26:23.1396547Z             aten_unsqueeze_copy_default_92: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_40, 4);  aten_add_tensor_40 = None
2025-03-21T20:26:23.1397306Z             aten_cat_default_32: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_91, aten_unsqueeze_copy_default_92], -1);  aten_unsqueeze_copy_default_91 = aten_unsqueeze_copy_default_92 = None
2025-03-21T20:26:23.1397835Z             aten_view_copy_default_151: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_32, [1, 1, 12, 64]);  aten_cat_default_32 = None
2025-03-21T20:26:23.1397930Z             
2025-03-21T20:26:23.1398474Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1399041Z             aten_unsqueeze_copy_default_93: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_17, 4);  aten_sub_tensor_17 = None
2025-03-21T20:26:23.1399576Z             aten_unsqueeze_copy_default_94: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_41, 4);  aten_add_tensor_41 = None
2025-03-21T20:26:23.1400329Z             aten_cat_default_33: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_93, aten_unsqueeze_copy_default_94], -1);  aten_unsqueeze_copy_default_93 = aten_unsqueeze_copy_default_94 = None
2025-03-21T20:26:23.1400863Z             aten_view_copy_default_152: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_33, [1, 1, 12, 64]);  aten_cat_default_33 = None
2025-03-21T20:26:23.1400954Z             
2025-03-21T20:26:23.1401501Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1402093Z             aten_permute_copy_default_334: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_151, [0, 2, 1, 3]);  aten_view_copy_default_151 = None
2025-03-21T20:26:23.1402196Z             
2025-03-21T20:26:23.1402873Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1403713Z             aten_index_put_default_16: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_8_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_152);  aten_view_copy_default_152 = None
2025-03-21T20:26:23.1403829Z             
2025-03-21T20:26:23.1404500Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1405306Z             aten_index_put_default_17: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_8_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_146);  aten_view_copy_default_146 = None
2025-03-21T20:26:23.1405399Z             
2025-03-21T20:26:23.1406052Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1406540Z             aten_permute_copy_default_335: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1407103Z             aten_select_copy_int_384: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_335, 0, 0);  aten_permute_copy_default_335 = None
2025-03-21T20:26:23.1407651Z             aten_select_copy_int_385: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_384, 0, 0);  aten_select_copy_int_384 = None
2025-03-21T20:26:23.1408140Z             aten_permute_copy_default_336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1408694Z             aten_select_copy_int_386: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_336, 0, 0);  aten_permute_copy_default_336 = None
2025-03-21T20:26:23.1409210Z             aten_select_copy_int_387: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_386, 0, 1);  aten_select_copy_int_386 = None
2025-03-21T20:26:23.1409687Z             aten_permute_copy_default_337: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1410279Z             aten_select_copy_int_388: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_337, 0, 0);  aten_permute_copy_default_337 = None
2025-03-21T20:26:23.1410783Z             aten_select_copy_int_389: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_388, 0, 2);  aten_select_copy_int_388 = None
2025-03-21T20:26:23.1411270Z             aten_permute_copy_default_338: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1411821Z             aten_select_copy_int_390: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_338, 0, 0);  aten_permute_copy_default_338 = None
2025-03-21T20:26:23.1412335Z             aten_select_copy_int_391: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_390, 0, 3);  aten_select_copy_int_390 = None
2025-03-21T20:26:23.1412815Z             aten_permute_copy_default_339: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1413380Z             aten_select_copy_int_392: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_339, 0, 0);  aten_permute_copy_default_339 = None
2025-03-21T20:26:23.1413885Z             aten_select_copy_int_393: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_392, 0, 4);  aten_select_copy_int_392 = None
2025-03-21T20:26:23.1414426Z             aten_permute_copy_default_340: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1414974Z             aten_select_copy_int_394: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_340, 0, 0);  aten_permute_copy_default_340 = None
2025-03-21T20:26:23.1415494Z             aten_select_copy_int_395: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_394, 0, 5);  aten_select_copy_int_394 = None
2025-03-21T20:26:23.1415969Z             aten_permute_copy_default_341: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1416529Z             aten_select_copy_int_396: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_341, 0, 0);  aten_permute_copy_default_341 = None
2025-03-21T20:26:23.1417038Z             aten_select_copy_int_397: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_396, 0, 6);  aten_select_copy_int_396 = None
2025-03-21T20:26:23.1417515Z             aten_permute_copy_default_342: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1418099Z             aten_select_copy_int_398: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_342, 0, 0);  aten_permute_copy_default_342 = None
2025-03-21T20:26:23.1418602Z             aten_select_copy_int_399: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_398, 0, 7);  aten_select_copy_int_398 = None
2025-03-21T20:26:23.1419089Z             aten_permute_copy_default_343: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1419639Z             aten_select_copy_int_400: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_343, 0, 0);  aten_permute_copy_default_343 = None
2025-03-21T20:26:23.1420183Z             aten_select_copy_int_401: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_400, 0, 8);  aten_select_copy_int_400 = None
2025-03-21T20:26:23.1420661Z             aten_permute_copy_default_344: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1421296Z             aten_select_copy_int_402: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_344, 0, 0);  aten_permute_copy_default_344 = None
2025-03-21T20:26:23.1421809Z             aten_select_copy_int_403: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_402, 0, 9);  aten_select_copy_int_402 = None
2025-03-21T20:26:23.1422305Z             aten_permute_copy_default_345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1422857Z             aten_select_copy_int_404: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_345, 0, 0);  aten_permute_copy_default_345 = None
2025-03-21T20:26:23.1423382Z             aten_select_copy_int_405: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_404, 0, 10);  aten_select_copy_int_404 = None
2025-03-21T20:26:23.1423866Z             aten_permute_copy_default_346: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_16, [0, 2, 1, 3])
2025-03-21T20:26:23.1424455Z             aten_select_copy_int_406: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_346, 0, 0);  aten_permute_copy_default_346 = None
2025-03-21T20:26:23.1424991Z             aten_select_copy_int_407: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_406, 0, 11);  aten_select_copy_int_406 = None
2025-03-21T20:26:23.1427322Z             aten_cat_default_34: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_385, aten_select_copy_int_387, aten_select_copy_int_389, aten_select_copy_int_391, aten_select_copy_int_393, aten_select_copy_int_395, aten_select_copy_int_397, aten_select_copy_int_399, aten_select_copy_int_401, aten_select_copy_int_403, aten_select_copy_int_405, aten_select_copy_int_407]);  aten_select_copy_int_385 = aten_select_copy_int_387 = aten_select_copy_int_389 = aten_select_copy_int_391 = aten_select_copy_int_393 = aten_select_copy_int_395 = aten_select_copy_int_397 = aten_select_copy_int_399 = aten_select_copy_int_401 = aten_select_copy_int_403 = aten_select_copy_int_405 = aten_select_copy_int_407 = None
2025-03-21T20:26:23.1427869Z             aten_view_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_34, [1, 12, 128, 64]);  aten_cat_default_34 = None
2025-03-21T20:26:23.1427962Z             
2025-03-21T20:26:23.1428634Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1429119Z             aten_permute_copy_default_347: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1429669Z             aten_select_copy_int_408: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_347, 0, 0);  aten_permute_copy_default_347 = None
2025-03-21T20:26:23.1430194Z             aten_select_copy_int_409: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_408, 0, 0);  aten_select_copy_int_408 = None
2025-03-21T20:26:23.1430672Z             aten_permute_copy_default_348: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1431258Z             aten_select_copy_int_410: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_348, 0, 0);  aten_permute_copy_default_348 = None
2025-03-21T20:26:23.1431763Z             aten_select_copy_int_411: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_410, 0, 1);  aten_select_copy_int_410 = None
2025-03-21T20:26:23.1432253Z             aten_permute_copy_default_349: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1432806Z             aten_select_copy_int_412: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_349, 0, 0);  aten_permute_copy_default_349 = None
2025-03-21T20:26:23.1433324Z             aten_select_copy_int_413: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_412, 0, 2);  aten_select_copy_int_412 = None
2025-03-21T20:26:23.1433805Z             aten_permute_copy_default_350: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1434365Z             aten_select_copy_int_414: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_350, 0, 0);  aten_permute_copy_default_350 = None
2025-03-21T20:26:23.1434871Z             aten_select_copy_int_415: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_414, 0, 3);  aten_select_copy_int_414 = None
2025-03-21T20:26:23.1435388Z             aten_permute_copy_default_351: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1435958Z             aten_select_copy_int_416: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_351, 0, 0);  aten_permute_copy_default_351 = None
2025-03-21T20:26:23.1436479Z             aten_select_copy_int_417: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_416, 0, 4);  aten_select_copy_int_416 = None
2025-03-21T20:26:23.1436960Z             aten_permute_copy_default_352: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1437522Z             aten_select_copy_int_418: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_352, 0, 0);  aten_permute_copy_default_352 = None
2025-03-21T20:26:23.1438033Z             aten_select_copy_int_419: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_418, 0, 5);  aten_select_copy_int_418 = None
2025-03-21T20:26:23.1438524Z             aten_permute_copy_default_353: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1439101Z             aten_select_copy_int_420: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_353, 0, 0);  aten_permute_copy_default_353 = None
2025-03-21T20:26:23.1439621Z             aten_select_copy_int_421: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_420, 0, 6);  aten_select_copy_int_420 = None
2025-03-21T20:26:23.1440097Z             aten_permute_copy_default_354: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1440659Z             aten_select_copy_int_422: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_354, 0, 0);  aten_permute_copy_default_354 = None
2025-03-21T20:26:23.1441170Z             aten_select_copy_int_423: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_422, 0, 7);  aten_select_copy_int_422 = None
2025-03-21T20:26:23.1441669Z             aten_permute_copy_default_355: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1442228Z             aten_select_copy_int_424: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_355, 0, 0);  aten_permute_copy_default_355 = None
2025-03-21T20:26:23.1442733Z             aten_select_copy_int_425: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_424, 0, 8);  aten_select_copy_int_424 = None
2025-03-21T20:26:23.1443223Z             aten_permute_copy_default_356: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1443775Z             aten_select_copy_int_426: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_356, 0, 0);  aten_permute_copy_default_356 = None
2025-03-21T20:26:23.1444295Z             aten_select_copy_int_427: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_426, 0, 9);  aten_select_copy_int_426 = None
2025-03-21T20:26:23.1444772Z             aten_permute_copy_default_357: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1445332Z             aten_select_copy_int_428: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_357, 0, 0);  aten_permute_copy_default_357 = None
2025-03-21T20:26:23.1445897Z             aten_select_copy_int_429: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_428, 0, 10);  aten_select_copy_int_428 = None
2025-03-21T20:26:23.1446383Z             aten_permute_copy_default_358: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_17, [0, 2, 1, 3])
2025-03-21T20:26:23.1446937Z             aten_select_copy_int_430: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_358, 0, 0);  aten_permute_copy_default_358 = None
2025-03-21T20:26:23.1447456Z             aten_select_copy_int_431: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_430, 0, 11);  aten_select_copy_int_430 = None
2025-03-21T20:26:23.1449789Z             aten_cat_default_35: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_409, aten_select_copy_int_411, aten_select_copy_int_413, aten_select_copy_int_415, aten_select_copy_int_417, aten_select_copy_int_419, aten_select_copy_int_421, aten_select_copy_int_423, aten_select_copy_int_425, aten_select_copy_int_427, aten_select_copy_int_429, aten_select_copy_int_431]);  aten_select_copy_int_409 = aten_select_copy_int_411 = aten_select_copy_int_413 = aten_select_copy_int_415 = aten_select_copy_int_417 = aten_select_copy_int_419 = aten_select_copy_int_421 = aten_select_copy_int_423 = aten_select_copy_int_425 = aten_select_copy_int_427 = aten_select_copy_int_429 = aten_select_copy_int_431 = None
2025-03-21T20:26:23.1450339Z             aten_view_copy_default_154: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_35, [1, 12, 128, 64]);  aten_cat_default_35 = None
2025-03-21T20:26:23.1450429Z             
2025-03-21T20:26:23.1450937Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1451508Z             aten_index_tensor_10: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_8_attention_mask, [attn_options_input_pos]);  b_layers_8_attention_mask = None
2025-03-21T20:26:23.1451634Z             
2025-03-21T20:26:23.1452218Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1452831Z             aten_permute_copy_default_359: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_153, [0, 1, 3, 2]);  aten_view_copy_default_153 = None
2025-03-21T20:26:23.1453431Z             aten_expand_copy_default_32: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_334, [1, 12, 1, 64]);  aten_permute_copy_default_334 = None
2025-03-21T20:26:23.1454008Z             aten_view_copy_default_155: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_32, [12, 1, 64]);  aten_expand_copy_default_32 = None
2025-03-21T20:26:23.1454617Z             aten_expand_copy_default_33: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_359, [1, 12, 64, 128]);  aten_permute_copy_default_359 = None
2025-03-21T20:26:23.1455207Z             aten_view_copy_default_156: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_33, [12, 64, 128]);  aten_expand_copy_default_33 = None
2025-03-21T20:26:23.1455877Z             aten_bmm_default_16: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_155, aten_view_copy_default_156);  aten_view_copy_default_155 = aten_view_copy_default_156 = None
2025-03-21T20:26:23.1456418Z             aten_view_copy_default_157: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_16, [1, 12, 1, 128]);  aten_bmm_default_16 = None
2025-03-21T20:26:23.1457133Z             aten_mul_tensor_130: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_157, _lifted_tensor_constant46);  aten_view_copy_default_157 = _lifted_tensor_constant46 = None
2025-03-21T20:26:23.1457237Z             
2025-03-21T20:26:23.1457730Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1458308Z             aten_add_tensor_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_130, aten_index_tensor_10);  aten_mul_tensor_130 = aten_index_tensor_10 = None
2025-03-21T20:26:23.1458399Z             
2025-03-21T20:26:23.1458985Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1459495Z             aten__softmax_default_8: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_42, -1, False);  aten_add_tensor_42 = None
2025-03-21T20:26:23.1459587Z             
2025-03-21T20:26:23.1460064Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1460663Z             aten_expand_copy_default_34: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_8, [1, 12, 1, 128]);  aten__softmax_default_8 = None
2025-03-21T20:26:23.1461305Z             aten_view_copy_default_158: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_34, [12, 1, 128]);  aten_expand_copy_default_34 = None
2025-03-21T20:26:23.1461903Z             aten_expand_copy_default_35: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_154, [1, 12, 128, 64]);  aten_view_copy_default_154 = None
2025-03-21T20:26:23.1462498Z             aten_view_copy_default_159: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_35, [12, 128, 64]);  aten_expand_copy_default_35 = None
2025-03-21T20:26:23.1463189Z             aten_bmm_default_17: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_158, aten_view_copy_default_159);  aten_view_copy_default_158 = aten_view_copy_default_159 = None
2025-03-21T20:26:23.1463723Z             aten_view_copy_default_160: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_17, [1, 12, 1, 64]);  aten_bmm_default_17 = None
2025-03-21T20:26:23.1463815Z             
2025-03-21T20:26:23.1464465Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1465058Z             aten_permute_copy_default_360: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_160, [0, 2, 1, 3]);  aten_view_copy_default_160 = None
2025-03-21T20:26:23.1465650Z             aten_view_copy_default_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_360, [1, 1, 768]);  aten_permute_copy_default_360 = None
2025-03-21T20:26:23.1465742Z             
2025-03-21T20:26:23.1466282Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1466871Z             aten_unsqueeze_copy_default_95: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_161, -1);  aten_view_copy_default_161 = None
2025-03-21T20:26:23.1466980Z             
2025-03-21T20:26:23.1467386Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1468060Z             aten_permute_copy_default_361: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_95, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_95 = None
2025-03-21T20:26:23.1468169Z             
2025-03-21T20:26:23.1468535Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1469479Z             aten_convolution_default_59: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_361, p_layers_8_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_361 = p_layers_8_attention_wo_conv_weight = None
2025-03-21T20:26:23.1469569Z             
2025-03-21T20:26:23.1470009Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1470618Z             aten_permute_copy_default_362: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_59, [0, 2, 1, 3]);  aten_convolution_default_59 = None
2025-03-21T20:26:23.1470724Z             
2025-03-21T20:26:23.1471268Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1471868Z             aten_squeeze_copy_dims_95: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_362, [-1]);  aten_permute_copy_default_362 = None
2025-03-21T20:26:23.1471961Z             
2025-03-21T20:26:23.1472339Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1472950Z             aten_add_tensor_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_39, aten_squeeze_copy_dims_95);  aten_add_tensor_39 = aten_squeeze_copy_dims_95 = None
2025-03-21T20:26:23.1473042Z             
2025-03-21T20:26:23.1473566Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1473971Z             aten_pow_tensor_scalar_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_43, 2)
2025-03-21T20:26:23.1474455Z             aten_mean_dim_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_17, [2], True);  aten_pow_tensor_scalar_17 = None
2025-03-21T20:26:23.1474910Z             aten_add_scalar_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_17, 9.999999747378752e-06);  aten_mean_dim_17 = None
2025-03-21T20:26:23.1475354Z             aten_rsqrt_default_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_17);  aten_add_scalar_17 = None
2025-03-21T20:26:23.1476022Z             aten_mul_tensor_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_43, aten_rsqrt_default_17);  aten_rsqrt_default_17 = None
2025-03-21T20:26:23.1476645Z             aten_mul_tensor_132: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_131, p_layers_8_ffn_norm_weight);  aten_mul_tensor_131 = p_layers_8_ffn_norm_weight = None
2025-03-21T20:26:23.1476740Z             
2025-03-21T20:26:23.1477278Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1477714Z             aten_unsqueeze_copy_default_96: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_132, -1)
2025-03-21T20:26:23.1477804Z             
2025-03-21T20:26:23.1478225Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1478938Z             aten_permute_copy_default_363: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_96, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_96 = None
2025-03-21T20:26:23.1479048Z             
2025-03-21T20:26:23.1479418Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1480378Z             aten_convolution_default_60: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_363, p_layers_8_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_363 = p_layers_8_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1480468Z             
2025-03-21T20:26:23.1480908Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1481529Z             aten_permute_copy_default_364: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_60, [0, 2, 1, 3]);  aten_convolution_default_60 = None
2025-03-21T20:26:23.1481635Z             
2025-03-21T20:26:23.1482172Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1482776Z             aten_squeeze_copy_dims_96: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_364, [-1]);  aten_permute_copy_default_364 = None
2025-03-21T20:26:23.1482878Z             
2025-03-21T20:26:23.1483395Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1483801Z             aten_sigmoid_default_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_96)
2025-03-21T20:26:23.1484441Z             aten_mul_tensor_133: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_96, aten_sigmoid_default_8);  aten_squeeze_copy_dims_96 = aten_sigmoid_default_8 = None
2025-03-21T20:26:23.1484576Z             
2025-03-21T20:26:23.1485099Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1485648Z             aten_unsqueeze_copy_default_97: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_132, -1);  aten_mul_tensor_132 = None
2025-03-21T20:26:23.1485735Z             
2025-03-21T20:26:23.1486156Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1486780Z             aten_permute_copy_default_365: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_97, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_97 = None
2025-03-21T20:26:23.1486872Z             
2025-03-21T20:26:23.1487248Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1488188Z             aten_convolution_default_61: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_365, p_layers_8_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_365 = p_layers_8_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1488289Z             
2025-03-21T20:26:23.1488711Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1489375Z             aten_permute_copy_default_366: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_61, [0, 2, 1, 3]);  aten_convolution_default_61 = None
2025-03-21T20:26:23.1489487Z             
2025-03-21T20:26:23.1490037Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1490612Z             aten_squeeze_copy_dims_97: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_366, [-1]);  aten_permute_copy_default_366 = None
2025-03-21T20:26:23.1490715Z             
2025-03-21T20:26:23.1491232Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1491854Z             aten_mul_tensor_134: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_133, aten_squeeze_copy_dims_97);  aten_mul_tensor_133 = aten_squeeze_copy_dims_97 = None
2025-03-21T20:26:23.1491949Z             
2025-03-21T20:26:23.1492472Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1493026Z             aten_unsqueeze_copy_default_98: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_134, -1);  aten_mul_tensor_134 = None
2025-03-21T20:26:23.1493143Z             
2025-03-21T20:26:23.1493563Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1494194Z             aten_permute_copy_default_367: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_98, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_98 = None
2025-03-21T20:26:23.1494297Z             
2025-03-21T20:26:23.1494667Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1495615Z             aten_convolution_default_62: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_367, p_layers_8_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_367 = p_layers_8_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1495730Z             
2025-03-21T20:26:23.1496165Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1496778Z             aten_permute_copy_default_368: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_62, [0, 2, 1, 3]);  aten_convolution_default_62 = None
2025-03-21T20:26:23.1496870Z             
2025-03-21T20:26:23.1497426Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1497994Z             aten_squeeze_copy_dims_98: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_368, [-1]);  aten_permute_copy_default_368 = None
2025-03-21T20:26:23.1498099Z             
2025-03-21T20:26:23.1498615Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1499219Z             aten_add_tensor_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_43, aten_squeeze_copy_dims_98);  aten_add_tensor_43 = aten_squeeze_copy_dims_98 = None
2025-03-21T20:26:23.1499307Z             
2025-03-21T20:26:23.1499894Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1500354Z             aten_pow_tensor_scalar_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_44, 2)
2025-03-21T20:26:23.1500833Z             aten_mean_dim_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_18, [2], True);  aten_pow_tensor_scalar_18 = None
2025-03-21T20:26:23.1501361Z             aten_add_scalar_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_18, 9.999999747378752e-06);  aten_mean_dim_18 = None
2025-03-21T20:26:23.1501808Z             aten_rsqrt_default_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_18);  aten_add_scalar_18 = None
2025-03-21T20:26:23.1502307Z             aten_mul_tensor_135: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_44, aten_rsqrt_default_18);  aten_rsqrt_default_18 = None
2025-03-21T20:26:23.1502984Z             aten_mul_tensor_136: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_135, p_layers_9_attention_norm_weight);  aten_mul_tensor_135 = p_layers_9_attention_norm_weight = None
2025-03-21T20:26:23.1503080Z             
2025-03-21T20:26:23.1503604Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1504094Z             aten_unsqueeze_copy_default_99: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_136, -1)
2025-03-21T20:26:23.1504186Z             
2025-03-21T20:26:23.1504608Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1505234Z             aten_permute_copy_default_369: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_99, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_99 = None
2025-03-21T20:26:23.1505341Z             
2025-03-21T20:26:23.1505710Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1506646Z             aten_convolution_default_63: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_369, p_layers_9_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_369 = p_layers_9_attention_wq_conv_weight = None
2025-03-21T20:26:23.1506764Z             
2025-03-21T20:26:23.1507201Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1507810Z             aten_permute_copy_default_370: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_63, [0, 2, 1, 3]);  aten_convolution_default_63 = None
2025-03-21T20:26:23.1507901Z             
2025-03-21T20:26:23.1508456Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1509028Z             aten_squeeze_copy_dims_99: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_370, [-1]);  aten_permute_copy_default_370 = None
2025-03-21T20:26:23.1509136Z             
2025-03-21T20:26:23.1509657Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1510101Z             aten_unsqueeze_copy_default_100: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_136, -1)
2025-03-21T20:26:23.1510189Z             
2025-03-21T20:26:23.1510604Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1511277Z             aten_permute_copy_default_371: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_100, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_100 = None
2025-03-21T20:26:23.1511378Z             
2025-03-21T20:26:23.1511746Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1512670Z             aten_convolution_default_64: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_371, p_layers_9_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_371 = p_layers_9_attention_wk_conv_weight = None
2025-03-21T20:26:23.1512768Z             
2025-03-21T20:26:23.1513200Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1513809Z             aten_permute_copy_default_372: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_64, [0, 2, 1, 3]);  aten_convolution_default_64 = None
2025-03-21T20:26:23.1513913Z             
2025-03-21T20:26:23.1514452Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1515059Z             aten_squeeze_copy_dims_100: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_372, [-1]);  aten_permute_copy_default_372 = None
2025-03-21T20:26:23.1515148Z             
2025-03-21T20:26:23.1515678Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1516216Z             aten_unsqueeze_copy_default_101: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_136, -1);  aten_mul_tensor_136 = None
2025-03-21T20:26:23.1516317Z             
2025-03-21T20:26:23.1516723Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1517344Z             aten_permute_copy_default_373: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_101, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_101 = None
2025-03-21T20:26:23.1517469Z             
2025-03-21T20:26:23.1517834Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1518764Z             aten_convolution_default_65: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_373, p_layers_9_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_373 = p_layers_9_attention_wv_conv_weight = None
2025-03-21T20:26:23.1518857Z             
2025-03-21T20:26:23.1519291Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1519899Z             aten_permute_copy_default_374: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_65, [0, 2, 1, 3]);  aten_convolution_default_65 = None
2025-03-21T20:26:23.1520004Z             
2025-03-21T20:26:23.1520544Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1521118Z             aten_squeeze_copy_dims_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_374, [-1]);  aten_permute_copy_default_374 = None
2025-03-21T20:26:23.1521207Z             
2025-03-21T20:26:23.1521740Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1522347Z             aten_view_copy_default_162: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_99, [1, 1, 12, 64]);  aten_squeeze_copy_dims_99 = None
2025-03-21T20:26:23.1522441Z             
2025-03-21T20:26:23.1522984Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1523548Z             aten_view_copy_default_163: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_100, [1, 1, 12, 64]);  aten_squeeze_copy_dims_100 = None
2025-03-21T20:26:23.1523650Z             
2025-03-21T20:26:23.1524174Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1524749Z             aten_view_copy_default_164: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_101, [1, 1, 12, 64]);  aten_squeeze_copy_dims_101 = None
2025-03-21T20:26:23.1524838Z             
2025-03-21T20:26:23.1525381Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1525969Z             aten_view_copy_default_165: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_162, [1, 1, 12, -1, 2]);  aten_view_copy_default_162 = None
2025-03-21T20:26:23.1526416Z             aten_slice_copy_tensor_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_165, 4, 0, 1)
2025-03-21T20:26:23.1526960Z             aten_slice_copy_tensor_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_165, 4, 1, 2);  aten_view_copy_default_165 = None
2025-03-21T20:26:23.1527506Z             aten_squeeze_copy_dims_102: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_36, [4]);  aten_slice_copy_tensor_36 = None
2025-03-21T20:26:23.1528068Z             aten_squeeze_copy_dims_103: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_37, [4]);  aten_slice_copy_tensor_37 = None
2025-03-21T20:26:23.1528172Z             
2025-03-21T20:26:23.1528696Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1529279Z             aten_view_copy_default_166: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_163, [1, 1, 12, -1, 2]);  aten_view_copy_default_163 = None
2025-03-21T20:26:23.1529703Z             aten_slice_copy_tensor_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_166, 4, 0, 1)
2025-03-21T20:26:23.1530263Z             aten_slice_copy_tensor_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_166, 4, 1, 2);  aten_view_copy_default_166 = None
2025-03-21T20:26:23.1530794Z             aten_squeeze_copy_dims_104: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_38, [4]);  aten_slice_copy_tensor_38 = None
2025-03-21T20:26:23.1531333Z             aten_squeeze_copy_dims_105: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_39, [4]);  aten_slice_copy_tensor_39 = None
2025-03-21T20:26:23.1531421Z             
2025-03-21T20:26:23.1531880Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1532341Z             aten_view_copy_default_167: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.1532432Z             
2025-03-21T20:26:23.1532879Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1533303Z             aten_view_copy_default_168: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.1533404Z             
2025-03-21T20:26:23.1533885Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1534342Z             aten_mul_tensor_137: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_102, aten_view_copy_default_167)
2025-03-21T20:26:23.1534785Z             aten_mul_tensor_138: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_103, aten_view_copy_default_168)
2025-03-21T20:26:23.1535350Z             aten_sub_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_137, aten_mul_tensor_138);  aten_mul_tensor_137 = aten_mul_tensor_138 = None
2025-03-21T20:26:23.1535442Z             
2025-03-21T20:26:23.1535951Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1536519Z             aten_mul_tensor_139: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_102, aten_view_copy_default_168);  aten_squeeze_copy_dims_102 = None
2025-03-21T20:26:23.1537095Z             aten_mul_tensor_140: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_103, aten_view_copy_default_167);  aten_squeeze_copy_dims_103 = None
2025-03-21T20:26:23.1537644Z             aten_add_tensor_45: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_139, aten_mul_tensor_140);  aten_mul_tensor_139 = aten_mul_tensor_140 = None
2025-03-21T20:26:23.1537730Z             
2025-03-21T20:26:23.1538246Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1538692Z             aten_mul_tensor_141: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_104, aten_view_copy_default_167)
2025-03-21T20:26:23.1539147Z             aten_mul_tensor_142: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_105, aten_view_copy_default_168)
2025-03-21T20:26:23.1539697Z             aten_sub_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_141, aten_mul_tensor_142);  aten_mul_tensor_141 = aten_mul_tensor_142 = None
2025-03-21T20:26:23.1539799Z             
2025-03-21T20:26:23.1540273Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1540946Z             aten_mul_tensor_143: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_104, aten_view_copy_default_168);  aten_squeeze_copy_dims_104 = aten_view_copy_default_168 = None
2025-03-21T20:26:23.1541671Z             aten_mul_tensor_144: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_105, aten_view_copy_default_167);  aten_squeeze_copy_dims_105 = aten_view_copy_default_167 = None
2025-03-21T20:26:23.1542231Z             aten_add_tensor_46: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_143, aten_mul_tensor_144);  aten_mul_tensor_143 = aten_mul_tensor_144 = None
2025-03-21T20:26:23.1542321Z             
2025-03-21T20:26:23.1542913Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1543441Z             aten_unsqueeze_copy_default_102: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_18, 4);  aten_sub_tensor_18 = None
2025-03-21T20:26:23.1543979Z             aten_unsqueeze_copy_default_103: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_45, 4);  aten_add_tensor_45 = None
2025-03-21T20:26:23.1544747Z             aten_cat_default_36: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_102, aten_unsqueeze_copy_default_103], -1);  aten_unsqueeze_copy_default_102 = aten_unsqueeze_copy_default_103 = None
2025-03-21T20:26:23.1545276Z             aten_view_copy_default_169: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_36, [1, 1, 12, 64]);  aten_cat_default_36 = None
2025-03-21T20:26:23.1545365Z             
2025-03-21T20:26:23.1545892Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1546451Z             aten_unsqueeze_copy_default_104: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_19, 4);  aten_sub_tensor_19 = None
2025-03-21T20:26:23.1546978Z             aten_unsqueeze_copy_default_105: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_46, 4);  aten_add_tensor_46 = None
2025-03-21T20:26:23.1547747Z             aten_cat_default_37: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_104, aten_unsqueeze_copy_default_105], -1);  aten_unsqueeze_copy_default_104 = aten_unsqueeze_copy_default_105 = None
2025-03-21T20:26:23.1548267Z             aten_view_copy_default_170: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_37, [1, 1, 12, 64]);  aten_cat_default_37 = None
2025-03-21T20:26:23.1548388Z             
2025-03-21T20:26:23.1548925Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1549527Z             aten_permute_copy_default_375: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_169, [0, 2, 1, 3]);  aten_view_copy_default_169 = None
2025-03-21T20:26:23.1549614Z             
2025-03-21T20:26:23.1550295Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1551093Z             aten_index_put_default_18: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_9_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_170);  aten_view_copy_default_170 = None
2025-03-21T20:26:23.1551192Z             
2025-03-21T20:26:23.1551866Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1552662Z             aten_index_put_default_19: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_9_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_164);  aten_view_copy_default_164 = None
2025-03-21T20:26:23.1552750Z             
2025-03-21T20:26:23.1553398Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1553930Z             aten_permute_copy_default_376: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1554481Z             aten_select_copy_int_432: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_376, 0, 0);  aten_permute_copy_default_376 = None
2025-03-21T20:26:23.1555003Z             aten_select_copy_int_433: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_432, 0, 0);  aten_select_copy_int_432 = None
2025-03-21T20:26:23.1555477Z             aten_permute_copy_default_377: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1556041Z             aten_select_copy_int_434: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_377, 0, 0);  aten_permute_copy_default_377 = None
2025-03-21T20:26:23.1556548Z             aten_select_copy_int_435: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_434, 0, 1);  aten_select_copy_int_434 = None
2025-03-21T20:26:23.1557033Z             aten_permute_copy_default_378: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1557602Z             aten_select_copy_int_436: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_378, 0, 0);  aten_permute_copy_default_378 = None
2025-03-21T20:26:23.1558113Z             aten_select_copy_int_437: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_436, 0, 2);  aten_select_copy_int_436 = None
2025-03-21T20:26:23.1558589Z             aten_permute_copy_default_379: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1559144Z             aten_select_copy_int_438: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_379, 0, 0);  aten_permute_copy_default_379 = None
2025-03-21T20:26:23.1559672Z             aten_select_copy_int_439: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_438, 0, 3);  aten_select_copy_int_438 = None
2025-03-21T20:26:23.1560156Z             aten_permute_copy_default_380: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1560707Z             aten_select_copy_int_440: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_380, 0, 0);  aten_permute_copy_default_380 = None
2025-03-21T20:26:23.1561211Z             aten_select_copy_int_441: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_440, 0, 4);  aten_select_copy_int_440 = None
2025-03-21T20:26:23.1561690Z             aten_permute_copy_default_381: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1562242Z             aten_select_copy_int_442: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_381, 0, 0);  aten_permute_copy_default_381 = None
2025-03-21T20:26:23.1562748Z             aten_select_copy_int_443: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_442, 0, 5);  aten_select_copy_int_442 = None
2025-03-21T20:26:23.1563231Z             aten_permute_copy_default_382: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1563804Z             aten_select_copy_int_444: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_382, 0, 0);  aten_permute_copy_default_382 = None
2025-03-21T20:26:23.1564338Z             aten_select_copy_int_445: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_444, 0, 6);  aten_select_copy_int_444 = None
2025-03-21T20:26:23.1564817Z             aten_permute_copy_default_383: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1565371Z             aten_select_copy_int_446: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_383, 0, 0);  aten_permute_copy_default_383 = None
2025-03-21T20:26:23.1565875Z             aten_select_copy_int_447: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_446, 0, 7);  aten_select_copy_int_446 = None
2025-03-21T20:26:23.1566357Z             aten_permute_copy_default_384: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1566908Z             aten_select_copy_int_448: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_384, 0, 0);  aten_permute_copy_default_384 = None
2025-03-21T20:26:23.1567421Z             aten_select_copy_int_449: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_448, 0, 8);  aten_select_copy_int_448 = None
2025-03-21T20:26:23.1567930Z             aten_permute_copy_default_385: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1568483Z             aten_select_copy_int_450: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_385, 0, 0);  aten_permute_copy_default_385 = None
2025-03-21T20:26:23.1568991Z             aten_select_copy_int_451: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_450, 0, 9);  aten_select_copy_int_450 = None
2025-03-21T20:26:23.1569479Z             aten_permute_copy_default_386: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1570053Z             aten_select_copy_int_452: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_386, 0, 0);  aten_permute_copy_default_386 = None
2025-03-21T20:26:23.1570563Z             aten_select_copy_int_453: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_452, 0, 10);  aten_select_copy_int_452 = None
2025-03-21T20:26:23.1571047Z             aten_permute_copy_default_387: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_18, [0, 2, 1, 3])
2025-03-21T20:26:23.1571597Z             aten_select_copy_int_454: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_387, 0, 0);  aten_permute_copy_default_387 = None
2025-03-21T20:26:23.1572115Z             aten_select_copy_int_455: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_454, 0, 11);  aten_select_copy_int_454 = None
2025-03-21T20:26:23.1574470Z             aten_cat_default_38: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_433, aten_select_copy_int_435, aten_select_copy_int_437, aten_select_copy_int_439, aten_select_copy_int_441, aten_select_copy_int_443, aten_select_copy_int_445, aten_select_copy_int_447, aten_select_copy_int_449, aten_select_copy_int_451, aten_select_copy_int_453, aten_select_copy_int_455]);  aten_select_copy_int_433 = aten_select_copy_int_435 = aten_select_copy_int_437 = aten_select_copy_int_439 = aten_select_copy_int_441 = aten_select_copy_int_443 = aten_select_copy_int_445 = aten_select_copy_int_447 = aten_select_copy_int_449 = aten_select_copy_int_451 = aten_select_copy_int_453 = aten_select_copy_int_455 = None
2025-03-21T20:26:23.1575027Z             aten_view_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_38, [1, 12, 128, 64]);  aten_cat_default_38 = None
2025-03-21T20:26:23.1575128Z             
2025-03-21T20:26:23.1575964Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1576460Z             aten_permute_copy_default_388: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1577007Z             aten_select_copy_int_456: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_388, 0, 0);  aten_permute_copy_default_388 = None
2025-03-21T20:26:23.1577528Z             aten_select_copy_int_457: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_456, 0, 0);  aten_select_copy_int_456 = None
2025-03-21T20:26:23.1578004Z             aten_permute_copy_default_389: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1578610Z             aten_select_copy_int_458: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_389, 0, 0);  aten_permute_copy_default_389 = None
2025-03-21T20:26:23.1579129Z             aten_select_copy_int_459: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_458, 0, 1);  aten_select_copy_int_458 = None
2025-03-21T20:26:23.1579603Z             aten_permute_copy_default_390: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1580163Z             aten_select_copy_int_460: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_390, 0, 0);  aten_permute_copy_default_390 = None
2025-03-21T20:26:23.1580666Z             aten_select_copy_int_461: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_460, 0, 2);  aten_select_copy_int_460 = None
2025-03-21T20:26:23.1581188Z             aten_permute_copy_default_391: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1581806Z             aten_select_copy_int_462: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_391, 0, 0);  aten_permute_copy_default_391 = None
2025-03-21T20:26:23.1582323Z             aten_select_copy_int_463: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_462, 0, 3);  aten_select_copy_int_462 = None
2025-03-21T20:26:23.1582801Z             aten_permute_copy_default_392: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1583361Z             aten_select_copy_int_464: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_392, 0, 0);  aten_permute_copy_default_392 = None
2025-03-21T20:26:23.1583867Z             aten_select_copy_int_465: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_464, 0, 4);  aten_select_copy_int_464 = None
2025-03-21T20:26:23.1584354Z             aten_permute_copy_default_393: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1584897Z             aten_select_copy_int_466: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_393, 0, 0);  aten_permute_copy_default_393 = None
2025-03-21T20:26:23.1585476Z             aten_select_copy_int_467: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_466, 0, 5);  aten_select_copy_int_466 = None
2025-03-21T20:26:23.1585954Z             aten_permute_copy_default_394: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1586513Z             aten_select_copy_int_468: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_394, 0, 0);  aten_permute_copy_default_394 = None
2025-03-21T20:26:23.1587012Z             aten_select_copy_int_469: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_468, 0, 6);  aten_select_copy_int_468 = None
2025-03-21T20:26:23.1587493Z             aten_permute_copy_default_395: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1588046Z             aten_select_copy_int_470: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_395, 0, 0);  aten_permute_copy_default_395 = None
2025-03-21T20:26:23.1588557Z             aten_select_copy_int_471: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_470, 0, 7);  aten_select_copy_int_470 = None
2025-03-21T20:26:23.1589059Z             aten_permute_copy_default_396: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1589615Z             aten_select_copy_int_472: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_396, 0, 0);  aten_permute_copy_default_396 = None
2025-03-21T20:26:23.1590123Z             aten_select_copy_int_473: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_472, 0, 8);  aten_select_copy_int_472 = None
2025-03-21T20:26:23.1590614Z             aten_permute_copy_default_397: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1591187Z             aten_select_copy_int_474: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_397, 0, 0);  aten_permute_copy_default_397 = None
2025-03-21T20:26:23.1591699Z             aten_select_copy_int_475: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_474, 0, 9);  aten_select_copy_int_474 = None
2025-03-21T20:26:23.1592169Z             aten_permute_copy_default_398: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1592721Z             aten_select_copy_int_476: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_398, 0, 0);  aten_permute_copy_default_398 = None
2025-03-21T20:26:23.1593234Z             aten_select_copy_int_477: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_476, 0, 10);  aten_select_copy_int_476 = None
2025-03-21T20:26:23.1593708Z             aten_permute_copy_default_399: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_19, [0, 2, 1, 3])
2025-03-21T20:26:23.1594267Z             aten_select_copy_int_478: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_399, 0, 0);  aten_permute_copy_default_399 = None
2025-03-21T20:26:23.1594774Z             aten_select_copy_int_479: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_478, 0, 11);  aten_select_copy_int_478 = None
2025-03-21T20:26:23.1597113Z             aten_cat_default_39: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_457, aten_select_copy_int_459, aten_select_copy_int_461, aten_select_copy_int_463, aten_select_copy_int_465, aten_select_copy_int_467, aten_select_copy_int_469, aten_select_copy_int_471, aten_select_copy_int_473, aten_select_copy_int_475, aten_select_copy_int_477, aten_select_copy_int_479]);  aten_select_copy_int_457 = aten_select_copy_int_459 = aten_select_copy_int_461 = aten_select_copy_int_463 = aten_select_copy_int_465 = aten_select_copy_int_467 = aten_select_copy_int_469 = aten_select_copy_int_471 = aten_select_copy_int_473 = aten_select_copy_int_475 = aten_select_copy_int_477 = aten_select_copy_int_479 = None
2025-03-21T20:26:23.1597676Z             aten_view_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_39, [1, 12, 128, 64]);  aten_cat_default_39 = None
2025-03-21T20:26:23.1597767Z             
2025-03-21T20:26:23.1598276Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1598845Z             aten_index_tensor_11: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_9_attention_mask, [attn_options_input_pos]);  b_layers_9_attention_mask = None
2025-03-21T20:26:23.1598947Z             
2025-03-21T20:26:23.1599528Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1600147Z             aten_permute_copy_default_400: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_171, [0, 1, 3, 2]);  aten_view_copy_default_171 = None
2025-03-21T20:26:23.1600755Z             aten_expand_copy_default_36: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_375, [1, 12, 1, 64]);  aten_permute_copy_default_375 = None
2025-03-21T20:26:23.1601319Z             aten_view_copy_default_173: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_36, [12, 1, 64]);  aten_expand_copy_default_36 = None
2025-03-21T20:26:23.1601941Z             aten_expand_copy_default_37: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_400, [1, 12, 64, 128]);  aten_permute_copy_default_400 = None
2025-03-21T20:26:23.1602541Z             aten_view_copy_default_174: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_37, [12, 64, 128]);  aten_expand_copy_default_37 = None
2025-03-21T20:26:23.1603217Z             aten_bmm_default_18: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_173, aten_view_copy_default_174);  aten_view_copy_default_173 = aten_view_copy_default_174 = None
2025-03-21T20:26:23.1603739Z             aten_view_copy_default_175: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_18, [1, 12, 1, 128]);  aten_bmm_default_18 = None
2025-03-21T20:26:23.1604415Z             aten_mul_tensor_145: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_175, _lifted_tensor_constant47);  aten_view_copy_default_175 = _lifted_tensor_constant47 = None
2025-03-21T20:26:23.1604508Z             
2025-03-21T20:26:23.1605011Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1605571Z             aten_add_tensor_47: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_145, aten_index_tensor_11);  aten_mul_tensor_145 = aten_index_tensor_11 = None
2025-03-21T20:26:23.1605673Z             
2025-03-21T20:26:23.1606241Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1606820Z             aten__softmax_default_9: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_47, -1, False);  aten_add_tensor_47 = None
2025-03-21T20:26:23.1606908Z             
2025-03-21T20:26:23.1607385Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1607956Z             aten_expand_copy_default_38: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_9, [1, 12, 1, 128]);  aten__softmax_default_9 = None
2025-03-21T20:26:23.1608540Z             aten_view_copy_default_176: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_38, [12, 1, 128]);  aten_expand_copy_default_38 = None
2025-03-21T20:26:23.1609132Z             aten_expand_copy_default_39: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_172, [1, 12, 128, 64]);  aten_view_copy_default_172 = None
2025-03-21T20:26:23.1609706Z             aten_view_copy_default_177: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_39, [12, 128, 64]);  aten_expand_copy_default_39 = None
2025-03-21T20:26:23.1610399Z             aten_bmm_default_19: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_176, aten_view_copy_default_177);  aten_view_copy_default_176 = aten_view_copy_default_177 = None
2025-03-21T20:26:23.1610919Z             aten_view_copy_default_178: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_19, [1, 12, 1, 64]);  aten_bmm_default_19 = None
2025-03-21T20:26:23.1611017Z             
2025-03-21T20:26:23.1611646Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1612248Z             aten_permute_copy_default_401: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_178, [0, 2, 1, 3]);  aten_view_copy_default_178 = None
2025-03-21T20:26:23.1612849Z             aten_view_copy_default_179: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_401, [1, 1, 768]);  aten_permute_copy_default_401 = None
2025-03-21T20:26:23.1612949Z             
2025-03-21T20:26:23.1613475Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1614076Z             aten_unsqueeze_copy_default_106: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_179, -1);  aten_view_copy_default_179 = None
2025-03-21T20:26:23.1614164Z             
2025-03-21T20:26:23.1614582Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1615205Z             aten_permute_copy_default_402: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_106, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_106 = None
2025-03-21T20:26:23.1615309Z             
2025-03-21T20:26:23.1615675Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1616598Z             aten_convolution_default_66: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_402, p_layers_9_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_402 = p_layers_9_attention_wo_conv_weight = None
2025-03-21T20:26:23.1616708Z             
2025-03-21T20:26:23.1617130Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1617800Z             aten_permute_copy_default_403: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_66, [0, 2, 1, 3]);  aten_convolution_default_66 = None
2025-03-21T20:26:23.1617893Z             
2025-03-21T20:26:23.1618451Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1619023Z             aten_squeeze_copy_dims_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_403, [-1]);  aten_permute_copy_default_403 = None
2025-03-21T20:26:23.1619124Z             
2025-03-21T20:26:23.1619498Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1620108Z             aten_add_tensor_48: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_44, aten_squeeze_copy_dims_106);  aten_add_tensor_44 = aten_squeeze_copy_dims_106 = None
2025-03-21T20:26:23.1620200Z             
2025-03-21T20:26:23.1620720Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1621140Z             aten_pow_tensor_scalar_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_48, 2)
2025-03-21T20:26:23.1621668Z             aten_mean_dim_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_19, [2], True);  aten_pow_tensor_scalar_19 = None
2025-03-21T20:26:23.1622136Z             aten_add_scalar_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_19, 9.999999747378752e-06);  aten_mean_dim_19 = None
2025-03-21T20:26:23.1622572Z             aten_rsqrt_default_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_19);  aten_add_scalar_19 = None
2025-03-21T20:26:23.1623087Z             aten_mul_tensor_146: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_48, aten_rsqrt_default_19);  aten_rsqrt_default_19 = None
2025-03-21T20:26:23.1623724Z             aten_mul_tensor_147: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_146, p_layers_9_ffn_norm_weight);  aten_mul_tensor_146 = p_layers_9_ffn_norm_weight = None
2025-03-21T20:26:23.1623830Z             
2025-03-21T20:26:23.1624353Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1624804Z             aten_unsqueeze_copy_default_107: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_147, -1)
2025-03-21T20:26:23.1624894Z             
2025-03-21T20:26:23.1625317Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1625940Z             aten_permute_copy_default_404: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_107, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_107 = None
2025-03-21T20:26:23.1626029Z             
2025-03-21T20:26:23.1626409Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1627346Z             aten_convolution_default_67: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_404, p_layers_9_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_404 = p_layers_9_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1627446Z             
2025-03-21T20:26:23.1627891Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1628544Z             aten_permute_copy_default_405: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_67, [0, 2, 1, 3]);  aten_convolution_default_67 = None
2025-03-21T20:26:23.1628635Z             
2025-03-21T20:26:23.1629185Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1629752Z             aten_squeeze_copy_dims_107: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_405, [-1]);  aten_permute_copy_default_405 = None
2025-03-21T20:26:23.1629849Z             
2025-03-21T20:26:23.1630367Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1630773Z             aten_sigmoid_default_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_107)
2025-03-21T20:26:23.1631415Z             aten_mul_tensor_148: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_107, aten_sigmoid_default_9);  aten_squeeze_copy_dims_107 = aten_sigmoid_default_9 = None
2025-03-21T20:26:23.1631504Z             
2025-03-21T20:26:23.1632059Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1632593Z             aten_unsqueeze_copy_default_108: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_147, -1);  aten_mul_tensor_147 = None
2025-03-21T20:26:23.1632695Z             
2025-03-21T20:26:23.1633098Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1633735Z             aten_permute_copy_default_406: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_108, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_108 = None
2025-03-21T20:26:23.1633846Z             
2025-03-21T20:26:23.1634223Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1635163Z             aten_convolution_default_68: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_406, p_layers_9_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_406 = p_layers_9_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1635260Z             
2025-03-21T20:26:23.1635683Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1636292Z             aten_permute_copy_default_407: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_68, [0, 2, 1, 3]);  aten_convolution_default_68 = None
2025-03-21T20:26:23.1636392Z             
2025-03-21T20:26:23.1636928Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1637513Z             aten_squeeze_copy_dims_108: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_407, [-1]);  aten_permute_copy_default_407 = None
2025-03-21T20:26:23.1637599Z             
2025-03-21T20:26:23.1638125Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1638771Z             aten_mul_tensor_149: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_148, aten_squeeze_copy_dims_108);  aten_mul_tensor_148 = aten_squeeze_copy_dims_108 = None
2025-03-21T20:26:23.1638897Z             
2025-03-21T20:26:23.1639412Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1639973Z             aten_unsqueeze_copy_default_109: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_149, -1);  aten_mul_tensor_149 = None
2025-03-21T20:26:23.1640058Z             
2025-03-21T20:26:23.1640465Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1641106Z             aten_permute_copy_default_408: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_109, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_109 = None
2025-03-21T20:26:23.1641193Z             
2025-03-21T20:26:23.1641579Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1642501Z             aten_convolution_default_69: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_408, p_layers_9_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_408 = p_layers_9_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1642628Z             
2025-03-21T20:26:23.1643052Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1643678Z             aten_permute_copy_default_409: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_69, [0, 2, 1, 3]);  aten_convolution_default_69 = None
2025-03-21T20:26:23.1643764Z             
2025-03-21T20:26:23.1644313Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1644884Z             aten_squeeze_copy_dims_109: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_409, [-1]);  aten_permute_copy_default_409 = None
2025-03-21T20:26:23.1645006Z             
2025-03-21T20:26:23.1645520Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1646117Z             aten_add_tensor_49: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_48, aten_squeeze_copy_dims_109);  aten_add_tensor_48 = aten_squeeze_copy_dims_109 = None
2025-03-21T20:26:23.1646213Z             
2025-03-21T20:26:23.1646776Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1647169Z             aten_pow_tensor_scalar_20: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_49, 2)
2025-03-21T20:26:23.1647634Z             aten_mean_dim_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_20, [2], True);  aten_pow_tensor_scalar_20 = None
2025-03-21T20:26:23.1648104Z             aten_add_scalar_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_20, 9.999999747378752e-06);  aten_mean_dim_20 = None
2025-03-21T20:26:23.1648533Z             aten_rsqrt_default_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_20);  aten_add_scalar_20 = None
2025-03-21T20:26:23.1649042Z             aten_mul_tensor_150: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_49, aten_rsqrt_default_20);  aten_rsqrt_default_20 = None
2025-03-21T20:26:23.1649757Z             aten_mul_tensor_151: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_150, p_layers_10_attention_norm_weight);  aten_mul_tensor_150 = p_layers_10_attention_norm_weight = None
2025-03-21T20:26:23.1649857Z             
2025-03-21T20:26:23.1650377Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1650826Z             aten_unsqueeze_copy_default_110: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_151, -1)
2025-03-21T20:26:23.1650913Z             
2025-03-21T20:26:23.1651321Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1651958Z             aten_permute_copy_default_410: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_110, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_110 = None
2025-03-21T20:26:23.1652049Z             
2025-03-21T20:26:23.1652425Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1653372Z             aten_convolution_default_70: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_410, p_layers_10_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_410 = p_layers_10_attention_wq_conv_weight = None
2025-03-21T20:26:23.1653471Z             
2025-03-21T20:26:23.1653893Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1654514Z             aten_permute_copy_default_411: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_70, [0, 2, 1, 3]);  aten_convolution_default_70 = None
2025-03-21T20:26:23.1654604Z             
2025-03-21T20:26:23.1655153Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1655738Z             aten_squeeze_copy_dims_110: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_411, [-1]);  aten_permute_copy_default_411 = None
2025-03-21T20:26:23.1655836Z             
2025-03-21T20:26:23.1656352Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1656786Z             aten_unsqueeze_copy_default_111: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_151, -1)
2025-03-21T20:26:23.1656883Z             
2025-03-21T20:26:23.1657293Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1657930Z             aten_permute_copy_default_412: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_111, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_111 = None
2025-03-21T20:26:23.1658021Z             
2025-03-21T20:26:23.1658392Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1659317Z             aten_convolution_default_71: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_412, p_layers_10_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_412 = p_layers_10_attention_wk_conv_weight = None
2025-03-21T20:26:23.1659413Z             
2025-03-21T20:26:23.1659835Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1660500Z             aten_permute_copy_default_413: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_71, [0, 2, 1, 3]);  aten_convolution_default_71 = None
2025-03-21T20:26:23.1660588Z             
2025-03-21T20:26:23.1661129Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1661773Z             aten_squeeze_copy_dims_111: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_413, [-1]);  aten_permute_copy_default_413 = None
2025-03-21T20:26:23.1661864Z             
2025-03-21T20:26:23.1662393Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1662933Z             aten_unsqueeze_copy_default_112: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_151, -1);  aten_mul_tensor_151 = None
2025-03-21T20:26:23.1663035Z             
2025-03-21T20:26:23.1663439Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1664113Z             aten_permute_copy_default_414: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_112, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_112 = None
2025-03-21T20:26:23.1664203Z             
2025-03-21T20:26:23.1664580Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1665507Z             aten_convolution_default_72: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_414, p_layers_10_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_414 = p_layers_10_attention_wv_conv_weight = None
2025-03-21T20:26:23.1665598Z             
2025-03-21T20:26:23.1666028Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1666691Z             aten_permute_copy_default_415: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_72, [0, 2, 1, 3]);  aten_convolution_default_72 = None
2025-03-21T20:26:23.1666792Z             
2025-03-21T20:26:23.1667329Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1667906Z             aten_squeeze_copy_dims_112: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_415, [-1]);  aten_permute_copy_default_415 = None
2025-03-21T20:26:23.1667995Z             
2025-03-21T20:26:23.1668527Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1669089Z             aten_view_copy_default_180: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_110, [1, 1, 12, 64]);  aten_squeeze_copy_dims_110 = None
2025-03-21T20:26:23.1669187Z             
2025-03-21T20:26:23.1669718Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1670277Z             aten_view_copy_default_181: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_111, [1, 1, 12, 64]);  aten_squeeze_copy_dims_111 = None
2025-03-21T20:26:23.1670379Z             
2025-03-21T20:26:23.1670902Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1671523Z             aten_view_copy_default_182: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_112, [1, 1, 12, 64]);  aten_squeeze_copy_dims_112 = None
2025-03-21T20:26:23.1671614Z             
2025-03-21T20:26:23.1672155Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1672725Z             aten_view_copy_default_183: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_180, [1, 1, 12, -1, 2]);  aten_view_copy_default_180 = None
2025-03-21T20:26:23.1673165Z             aten_slice_copy_tensor_40: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_183, 4, 0, 1)
2025-03-21T20:26:23.1673706Z             aten_slice_copy_tensor_41: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_183, 4, 1, 2);  aten_view_copy_default_183 = None
2025-03-21T20:26:23.1674248Z             aten_squeeze_copy_dims_113: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_40, [4]);  aten_slice_copy_tensor_40 = None
2025-03-21T20:26:23.1674823Z             aten_squeeze_copy_dims_114: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_41, [4]);  aten_slice_copy_tensor_41 = None
2025-03-21T20:26:23.1674923Z             
2025-03-21T20:26:23.1675447Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1676189Z             aten_view_copy_default_184: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_181, [1, 1, 12, -1, 2]);  aten_view_copy_default_181 = None
2025-03-21T20:26:23.1676624Z             aten_slice_copy_tensor_42: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_184, 4, 0, 1)
2025-03-21T20:26:23.1677176Z             aten_slice_copy_tensor_43: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_184, 4, 1, 2);  aten_view_copy_default_184 = None
2025-03-21T20:26:23.1677757Z             aten_squeeze_copy_dims_115: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_42, [4]);  aten_slice_copy_tensor_42 = None
2025-03-21T20:26:23.1678298Z             aten_squeeze_copy_dims_116: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_43, [4]);  aten_slice_copy_tensor_43 = None
2025-03-21T20:26:23.1678387Z             
2025-03-21T20:26:23.1678831Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1679261Z             aten_view_copy_default_185: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32])
2025-03-21T20:26:23.1679348Z             
2025-03-21T20:26:23.1679799Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1680217Z             aten_view_copy_default_186: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32])
2025-03-21T20:26:23.1680319Z             
2025-03-21T20:26:23.1680798Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1681257Z             aten_mul_tensor_152: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_113, aten_view_copy_default_185)
2025-03-21T20:26:23.1681765Z             aten_mul_tensor_153: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_114, aten_view_copy_default_186)
2025-03-21T20:26:23.1682317Z             aten_sub_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_152, aten_mul_tensor_153);  aten_mul_tensor_152 = aten_mul_tensor_153 = None
2025-03-21T20:26:23.1682415Z             
2025-03-21T20:26:23.1682891Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1683464Z             aten_mul_tensor_154: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_113, aten_view_copy_default_186);  aten_squeeze_copy_dims_113 = None
2025-03-21T20:26:23.1684029Z             aten_mul_tensor_155: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_114, aten_view_copy_default_185);  aten_squeeze_copy_dims_114 = None
2025-03-21T20:26:23.1684585Z             aten_add_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_154, aten_mul_tensor_155);  aten_mul_tensor_154 = aten_mul_tensor_155 = None
2025-03-21T20:26:23.1684678Z             
2025-03-21T20:26:23.1685164Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1685640Z             aten_mul_tensor_156: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_115, aten_view_copy_default_185)
2025-03-21T20:26:23.1686089Z             aten_mul_tensor_157: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_116, aten_view_copy_default_186)
2025-03-21T20:26:23.1686636Z             aten_sub_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_156, aten_mul_tensor_157);  aten_mul_tensor_156 = aten_mul_tensor_157 = None
2025-03-21T20:26:23.1686746Z             
2025-03-21T20:26:23.1687220Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1687935Z             aten_mul_tensor_158: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_115, aten_view_copy_default_186);  aten_squeeze_copy_dims_115 = aten_view_copy_default_186 = None
2025-03-21T20:26:23.1688601Z             aten_mul_tensor_159: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_116, aten_view_copy_default_185);  aten_squeeze_copy_dims_116 = aten_view_copy_default_185 = None
2025-03-21T20:26:23.1689169Z             aten_add_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_158, aten_mul_tensor_159);  aten_mul_tensor_158 = aten_mul_tensor_159 = None
2025-03-21T20:26:23.1689263Z             
2025-03-21T20:26:23.1689794Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1690337Z             aten_unsqueeze_copy_default_113: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_20, 4);  aten_sub_tensor_20 = None
2025-03-21T20:26:23.1690865Z             aten_unsqueeze_copy_default_114: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_50, 4);  aten_add_tensor_50 = None
2025-03-21T20:26:23.1691642Z             aten_cat_default_40: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_113, aten_unsqueeze_copy_default_114], -1);  aten_unsqueeze_copy_default_113 = aten_unsqueeze_copy_default_114 = None
2025-03-21T20:26:23.1692185Z             aten_view_copy_default_187: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_40, [1, 1, 12, 64]);  aten_cat_default_40 = None
2025-03-21T20:26:23.1692314Z             
2025-03-21T20:26:23.1692843Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1693386Z             aten_unsqueeze_copy_default_115: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_21, 4);  aten_sub_tensor_21 = None
2025-03-21T20:26:23.1693910Z             aten_unsqueeze_copy_default_116: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_51, 4);  aten_add_tensor_51 = None
2025-03-21T20:26:23.1694692Z             aten_cat_default_41: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_115, aten_unsqueeze_copy_default_116], -1);  aten_unsqueeze_copy_default_115 = aten_unsqueeze_copy_default_116 = None
2025-03-21T20:26:23.1695214Z             aten_view_copy_default_188: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_41, [1, 1, 12, 64]);  aten_cat_default_41 = None
2025-03-21T20:26:23.1695324Z             
2025-03-21T20:26:23.1695885Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1696495Z             aten_permute_copy_default_416: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_187, [0, 2, 1, 3]);  aten_view_copy_default_187 = None
2025-03-21T20:26:23.1696585Z             
2025-03-21T20:26:23.1697272Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1698070Z             aten_index_put_default_20: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_10_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_188);  aten_view_copy_default_188 = None
2025-03-21T20:26:23.1698186Z             
2025-03-21T20:26:23.1698874Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1699669Z             aten_index_put_default_21: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_10_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_182);  aten_view_copy_default_182 = None
2025-03-21T20:26:23.1699779Z             
2025-03-21T20:26:23.1700430Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1700928Z             aten_permute_copy_default_417: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1701576Z             aten_select_copy_int_480: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_417, 0, 0);  aten_permute_copy_default_417 = None
2025-03-21T20:26:23.1702097Z             aten_select_copy_int_481: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_480, 0, 0);  aten_select_copy_int_480 = None
2025-03-21T20:26:23.1702576Z             aten_permute_copy_default_418: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1703166Z             aten_select_copy_int_482: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_418, 0, 0);  aten_permute_copy_default_418 = None
2025-03-21T20:26:23.1703700Z             aten_select_copy_int_483: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_482, 0, 1);  aten_select_copy_int_482 = None
2025-03-21T20:26:23.1704185Z             aten_permute_copy_default_419: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1704739Z             aten_select_copy_int_484: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_419, 0, 0);  aten_permute_copy_default_419 = None
2025-03-21T20:26:23.1705267Z             aten_select_copy_int_485: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_484, 0, 2);  aten_select_copy_int_484 = None
2025-03-21T20:26:23.1705743Z             aten_permute_copy_default_420: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1706308Z             aten_select_copy_int_486: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_420, 0, 0);  aten_permute_copy_default_420 = None
2025-03-21T20:26:23.1706838Z             aten_select_copy_int_487: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_486, 0, 3);  aten_select_copy_int_486 = None
2025-03-21T20:26:23.1707328Z             aten_permute_copy_default_421: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1707879Z             aten_select_copy_int_488: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_421, 0, 0);  aten_permute_copy_default_421 = None
2025-03-21T20:26:23.1708395Z             aten_select_copy_int_489: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_488, 0, 4);  aten_select_copy_int_488 = None
2025-03-21T20:26:23.1708872Z             aten_permute_copy_default_422: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1709456Z             aten_select_copy_int_490: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_422, 0, 0);  aten_permute_copy_default_422 = None
2025-03-21T20:26:23.1709960Z             aten_select_copy_int_491: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_490, 0, 5);  aten_select_copy_int_490 = None
2025-03-21T20:26:23.1710445Z             aten_permute_copy_default_423: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1710993Z             aten_select_copy_int_492: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_423, 0, 0);  aten_permute_copy_default_423 = None
2025-03-21T20:26:23.1711512Z             aten_select_copy_int_493: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_492, 0, 6);  aten_select_copy_int_492 = None
2025-03-21T20:26:23.1711988Z             aten_permute_copy_default_424: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1712537Z             aten_select_copy_int_494: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_424, 0, 0);  aten_permute_copy_default_424 = None
2025-03-21T20:26:23.1713053Z             aten_select_copy_int_495: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_494, 0, 7);  aten_select_copy_int_494 = None
2025-03-21T20:26:23.1713578Z             aten_permute_copy_default_425: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1714142Z             aten_select_copy_int_496: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_425, 0, 0);  aten_permute_copy_default_425 = None
2025-03-21T20:26:23.1714652Z             aten_select_copy_int_497: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_496, 0, 8);  aten_select_copy_int_496 = None
2025-03-21T20:26:23.1715136Z             aten_permute_copy_default_426: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1715686Z             aten_select_copy_int_498: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_426, 0, 0);  aten_permute_copy_default_426 = None
2025-03-21T20:26:23.1716207Z             aten_select_copy_int_499: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_498, 0, 9);  aten_select_copy_int_498 = None
2025-03-21T20:26:23.1716684Z             aten_permute_copy_default_427: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1717270Z             aten_select_copy_int_500: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_427, 0, 0);  aten_permute_copy_default_427 = None
2025-03-21T20:26:23.1717783Z             aten_select_copy_int_501: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_500, 0, 10);  aten_select_copy_int_500 = None
2025-03-21T20:26:23.1718272Z             aten_permute_copy_default_428: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_20, [0, 2, 1, 3])
2025-03-21T20:26:23.1718825Z             aten_select_copy_int_502: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_428, 0, 0);  aten_permute_copy_default_428 = None
2025-03-21T20:26:23.1719343Z             aten_select_copy_int_503: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_502, 0, 11);  aten_select_copy_int_502 = None
2025-03-21T20:26:23.1721683Z             aten_cat_default_42: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_481, aten_select_copy_int_483, aten_select_copy_int_485, aten_select_copy_int_487, aten_select_copy_int_489, aten_select_copy_int_491, aten_select_copy_int_493, aten_select_copy_int_495, aten_select_copy_int_497, aten_select_copy_int_499, aten_select_copy_int_501, aten_select_copy_int_503]);  aten_select_copy_int_481 = aten_select_copy_int_483 = aten_select_copy_int_485 = aten_select_copy_int_487 = aten_select_copy_int_489 = aten_select_copy_int_491 = aten_select_copy_int_493 = aten_select_copy_int_495 = aten_select_copy_int_497 = aten_select_copy_int_499 = aten_select_copy_int_501 = aten_select_copy_int_503 = None
2025-03-21T20:26:23.1722234Z             aten_view_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_42, [1, 12, 128, 64]);  aten_cat_default_42 = None
2025-03-21T20:26:23.1722328Z             
2025-03-21T20:26:23.1722990Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1723469Z             aten_permute_copy_default_429: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1724024Z             aten_select_copy_int_504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_429, 0, 0);  aten_permute_copy_default_429 = None
2025-03-21T20:26:23.1724585Z             aten_select_copy_int_505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_504, 0, 0);  aten_select_copy_int_504 = None
2025-03-21T20:26:23.1725072Z             aten_permute_copy_default_430: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1725622Z             aten_select_copy_int_506: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_430, 0, 0);  aten_permute_copy_default_430 = None
2025-03-21T20:26:23.1726136Z             aten_select_copy_int_507: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_506, 0, 1);  aten_select_copy_int_506 = None
2025-03-21T20:26:23.1726612Z             aten_permute_copy_default_431: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1727173Z             aten_select_copy_int_508: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_431, 0, 0);  aten_permute_copy_default_431 = None
2025-03-21T20:26:23.1727679Z             aten_select_copy_int_509: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_508, 0, 2);  aten_select_copy_int_508 = None
2025-03-21T20:26:23.1728196Z             aten_permute_copy_default_432: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1728746Z             aten_select_copy_int_510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_432, 0, 0);  aten_permute_copy_default_432 = None
2025-03-21T20:26:23.1729263Z             aten_select_copy_int_511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_510, 0, 3);  aten_select_copy_int_510 = None
2025-03-21T20:26:23.1729743Z             aten_permute_copy_default_433: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1730326Z             aten_select_copy_int_512: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_433, 0, 0);  aten_permute_copy_default_433 = None
2025-03-21T20:26:23.1730834Z             aten_select_copy_int_513: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_512, 0, 4);  aten_select_copy_int_512 = None
2025-03-21T20:26:23.1731321Z             aten_permute_copy_default_434: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1731872Z             aten_select_copy_int_514: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_434, 0, 0);  aten_permute_copy_default_434 = None
2025-03-21T20:26:23.1732391Z             aten_select_copy_int_515: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_514, 0, 5);  aten_select_copy_int_514 = None
2025-03-21T20:26:23.1732867Z             aten_permute_copy_default_435: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1733432Z             aten_select_copy_int_516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_435, 0, 0);  aten_permute_copy_default_435 = None
2025-03-21T20:26:23.1733937Z             aten_select_copy_int_517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_516, 0, 6);  aten_select_copy_int_516 = None
2025-03-21T20:26:23.1734446Z             aten_permute_copy_default_436: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1735020Z             aten_select_copy_int_518: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_436, 0, 0);  aten_permute_copy_default_436 = None
2025-03-21T20:26:23.1735527Z             aten_select_copy_int_519: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_518, 0, 7);  aten_select_copy_int_518 = None
2025-03-21T20:26:23.1736017Z             aten_permute_copy_default_437: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1736568Z             aten_select_copy_int_520: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_437, 0, 0);  aten_permute_copy_default_437 = None
2025-03-21T20:26:23.1737086Z             aten_select_copy_int_521: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_520, 0, 8);  aten_select_copy_int_520 = None
2025-03-21T20:26:23.1737565Z             aten_permute_copy_default_438: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1738152Z             aten_select_copy_int_522: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_438, 0, 0);  aten_permute_copy_default_438 = None
2025-03-21T20:26:23.1738659Z             aten_select_copy_int_523: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_522, 0, 9);  aten_select_copy_int_522 = None
2025-03-21T20:26:23.1739142Z             aten_permute_copy_default_439: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1739694Z             aten_select_copy_int_524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_439, 0, 0);  aten_permute_copy_default_439 = None
2025-03-21T20:26:23.1740215Z             aten_select_copy_int_525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_524, 0, 10);  aten_select_copy_int_524 = None
2025-03-21T20:26:23.1740718Z             aten_permute_copy_default_440: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_21, [0, 2, 1, 3])
2025-03-21T20:26:23.1741339Z             aten_select_copy_int_526: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_440, 0, 0);  aten_permute_copy_default_440 = None
2025-03-21T20:26:23.1741848Z             aten_select_copy_int_527: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_526, 0, 11);  aten_select_copy_int_526 = None
2025-03-21T20:26:23.1744179Z             aten_cat_default_43: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_505, aten_select_copy_int_507, aten_select_copy_int_509, aten_select_copy_int_511, aten_select_copy_int_513, aten_select_copy_int_515, aten_select_copy_int_517, aten_select_copy_int_519, aten_select_copy_int_521, aten_select_copy_int_523, aten_select_copy_int_525, aten_select_copy_int_527]);  aten_select_copy_int_505 = aten_select_copy_int_507 = aten_select_copy_int_509 = aten_select_copy_int_511 = aten_select_copy_int_513 = aten_select_copy_int_515 = aten_select_copy_int_517 = aten_select_copy_int_519 = aten_select_copy_int_521 = aten_select_copy_int_523 = aten_select_copy_int_525 = aten_select_copy_int_527 = None
2025-03-21T20:26:23.1744728Z             aten_view_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_43, [1, 12, 128, 64]);  aten_cat_default_43 = None
2025-03-21T20:26:23.1744818Z             
2025-03-21T20:26:23.1745367Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1745957Z             aten_index_tensor_12: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_10_attention_mask, [attn_options_input_pos]);  b_layers_10_attention_mask = None
2025-03-21T20:26:23.1746050Z             
2025-03-21T20:26:23.1746639Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1747236Z             aten_permute_copy_default_441: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_189, [0, 1, 3, 2]);  aten_view_copy_default_189 = None
2025-03-21T20:26:23.1747851Z             aten_expand_copy_default_40: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_416, [1, 12, 1, 64]);  aten_permute_copy_default_416 = None
2025-03-21T20:26:23.1748423Z             aten_view_copy_default_191: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_40, [12, 1, 64]);  aten_expand_copy_default_40 = None
2025-03-21T20:26:23.1749046Z             aten_expand_copy_default_41: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_441, [1, 12, 64, 128]);  aten_permute_copy_default_441 = None
2025-03-21T20:26:23.1749645Z             aten_view_copy_default_192: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_41, [12, 64, 128]);  aten_expand_copy_default_41 = None
2025-03-21T20:26:23.1750324Z             aten_bmm_default_20: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_191, aten_view_copy_default_192);  aten_view_copy_default_191 = aten_view_copy_default_192 = None
2025-03-21T20:26:23.1750851Z             aten_view_copy_default_193: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_20, [1, 12, 1, 128]);  aten_bmm_default_20 = None
2025-03-21T20:26:23.1751527Z             aten_mul_tensor_160: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_193, _lifted_tensor_constant48);  aten_view_copy_default_193 = _lifted_tensor_constant48 = None
2025-03-21T20:26:23.1751643Z             
2025-03-21T20:26:23.1752145Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1752711Z             aten_add_tensor_52: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_160, aten_index_tensor_12);  aten_mul_tensor_160 = aten_index_tensor_12 = None
2025-03-21T20:26:23.1752813Z             
2025-03-21T20:26:23.1753385Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1753888Z             aten__softmax_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_52, -1, False);  aten_add_tensor_52 = None
2025-03-21T20:26:23.1753992Z             
2025-03-21T20:26:23.1754455Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1755046Z             aten_expand_copy_default_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_10, [1, 12, 1, 128]);  aten__softmax_default_10 = None
2025-03-21T20:26:23.1755618Z             aten_view_copy_default_194: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_42, [12, 1, 128]);  aten_expand_copy_default_42 = None
2025-03-21T20:26:23.1756246Z             aten_expand_copy_default_43: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_190, [1, 12, 128, 64]);  aten_view_copy_default_190 = None
2025-03-21T20:26:23.1756847Z             aten_view_copy_default_195: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_43, [12, 128, 64]);  aten_expand_copy_default_43 = None
2025-03-21T20:26:23.1757520Z             aten_bmm_default_21: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_194, aten_view_copy_default_195);  aten_view_copy_default_194 = aten_view_copy_default_195 = None
2025-03-21T20:26:23.1758041Z             aten_view_copy_default_196: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_21, [1, 12, 1, 64]);  aten_bmm_default_21 = None
2025-03-21T20:26:23.1758141Z             
2025-03-21T20:26:23.1758772Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1759372Z             aten_permute_copy_default_442: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_196, [0, 2, 1, 3]);  aten_view_copy_default_196 = None
2025-03-21T20:26:23.1759978Z             aten_view_copy_default_197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_442, [1, 1, 768]);  aten_permute_copy_default_442 = None
2025-03-21T20:26:23.1760082Z             
2025-03-21T20:26:23.1760614Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1761211Z             aten_unsqueeze_copy_default_117: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_197, -1);  aten_view_copy_default_197 = None
2025-03-21T20:26:23.1761303Z             
2025-03-21T20:26:23.1761714Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1762352Z             aten_permute_copy_default_443: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_117, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_117 = None
2025-03-21T20:26:23.1762470Z             
2025-03-21T20:26:23.1762852Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1763780Z             aten_convolution_default_73: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_443, p_layers_10_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_443 = p_layers_10_attention_wo_conv_weight = None
2025-03-21T20:26:23.1763880Z             
2025-03-21T20:26:23.1764311Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1764929Z             aten_permute_copy_default_444: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_73, [0, 2, 1, 3]);  aten_convolution_default_73 = None
2025-03-21T20:26:23.1765024Z             
2025-03-21T20:26:23.1765579Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1766149Z             aten_squeeze_copy_dims_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_444, [-1]);  aten_permute_copy_default_444 = None
2025-03-21T20:26:23.1766250Z             
2025-03-21T20:26:23.1766628Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1767285Z             aten_add_tensor_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_49, aten_squeeze_copy_dims_117);  aten_add_tensor_49 = aten_squeeze_copy_dims_117 = None
2025-03-21T20:26:23.1767388Z             
2025-03-21T20:26:23.1767902Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1768297Z             aten_pow_tensor_scalar_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_53, 2)
2025-03-21T20:26:23.1768764Z             aten_mean_dim_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_21, [2], True);  aten_pow_tensor_scalar_21 = None
2025-03-21T20:26:23.1769227Z             aten_add_scalar_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_21, 9.999999747378752e-06);  aten_mean_dim_21 = None
2025-03-21T20:26:23.1769660Z             aten_rsqrt_default_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_21);  aten_add_scalar_21 = None
2025-03-21T20:26:23.1770170Z             aten_mul_tensor_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_53, aten_rsqrt_default_21);  aten_rsqrt_default_21 = None
2025-03-21T20:26:23.1770809Z             aten_mul_tensor_162: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_161, p_layers_10_ffn_norm_weight);  aten_mul_tensor_161 = p_layers_10_ffn_norm_weight = None
2025-03-21T20:26:23.1770910Z             
2025-03-21T20:26:23.1771434Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1771882Z             aten_unsqueeze_copy_default_118: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_162, -1)
2025-03-21T20:26:23.1771973Z             
2025-03-21T20:26:23.1772383Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1773020Z             aten_permute_copy_default_445: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_118, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_118 = None
2025-03-21T20:26:23.1773134Z             
2025-03-21T20:26:23.1773513Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1774463Z             aten_convolution_default_74: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_445, p_layers_10_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_445 = p_layers_10_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1774565Z             
2025-03-21T20:26:23.1774989Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1775767Z             aten_permute_copy_default_446: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_74, [0, 2, 1, 3]);  aten_convolution_default_74 = None
2025-03-21T20:26:23.1775883Z             
2025-03-21T20:26:23.1776443Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1777022Z             aten_squeeze_copy_dims_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_446, [-1]);  aten_permute_copy_default_446 = None
2025-03-21T20:26:23.1777112Z             
2025-03-21T20:26:23.1777646Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1778138Z             aten_sigmoid_default_10: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_118)
2025-03-21T20:26:23.1778808Z             aten_mul_tensor_163: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_118, aten_sigmoid_default_10);  aten_squeeze_copy_dims_118 = aten_sigmoid_default_10 = None
2025-03-21T20:26:23.1778903Z             
2025-03-21T20:26:23.1779441Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1779987Z             aten_unsqueeze_copy_default_119: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_162, -1);  aten_mul_tensor_162 = None
2025-03-21T20:26:23.1780093Z             
2025-03-21T20:26:23.1780504Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1781145Z             aten_permute_copy_default_447: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_119, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_119 = None
2025-03-21T20:26:23.1781301Z             
2025-03-21T20:26:23.1781706Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1782671Z             aten_convolution_default_75: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_447, p_layers_10_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_447 = p_layers_10_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1782767Z             
2025-03-21T20:26:23.1783202Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1783824Z             aten_permute_copy_default_448: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_75, [0, 2, 1, 3]);  aten_convolution_default_75 = None
2025-03-21T20:26:23.1783960Z             
2025-03-21T20:26:23.1784505Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1785092Z             aten_squeeze_copy_dims_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_448, [-1]);  aten_permute_copy_default_448 = None
2025-03-21T20:26:23.1785185Z             
2025-03-21T20:26:23.1785714Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1786331Z             aten_mul_tensor_164: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_163, aten_squeeze_copy_dims_119);  aten_mul_tensor_163 = aten_squeeze_copy_dims_119 = None
2025-03-21T20:26:23.1786432Z             
2025-03-21T20:26:23.1786957Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1787508Z             aten_unsqueeze_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_164, -1);  aten_mul_tensor_164 = None
2025-03-21T20:26:23.1787614Z             
2025-03-21T20:26:23.1788019Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1788661Z             aten_permute_copy_default_449: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_120, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_120 = None
2025-03-21T20:26:23.1788800Z             
2025-03-21T20:26:23.1789174Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1790123Z             aten_convolution_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_449, p_layers_10_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_449 = p_layers_10_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1790222Z             
2025-03-21T20:26:23.1790643Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1791267Z             aten_permute_copy_default_450: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_76, [0, 2, 1, 3]);  aten_convolution_default_76 = None
2025-03-21T20:26:23.1791358Z             
2025-03-21T20:26:23.1791895Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1792477Z             aten_squeeze_copy_dims_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_450, [-1]);  aten_permute_copy_default_450 = None
2025-03-21T20:26:23.1792567Z             
2025-03-21T20:26:23.1793112Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1793708Z             aten_add_tensor_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_53, aten_squeeze_copy_dims_120);  aten_add_tensor_53 = aten_squeeze_copy_dims_120 = None
2025-03-21T20:26:23.1793805Z             
2025-03-21T20:26:23.1794377Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:23.1794772Z             aten_pow_tensor_scalar_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_54, 2)
2025-03-21T20:26:23.1795262Z             aten_mean_dim_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_22, [2], True);  aten_pow_tensor_scalar_22 = None
2025-03-21T20:26:23.1795728Z             aten_add_scalar_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_22, 9.999999747378752e-06);  aten_mean_dim_22 = None
2025-03-21T20:26:23.1796156Z             aten_rsqrt_default_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_22);  aten_add_scalar_22 = None
2025-03-21T20:26:23.1796666Z             aten_mul_tensor_165: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_54, aten_rsqrt_default_22);  aten_rsqrt_default_22 = None
2025-03-21T20:26:23.1797333Z             aten_mul_tensor_166: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_165, p_layers_11_attention_norm_weight);  aten_mul_tensor_165 = p_layers_11_attention_norm_weight = None
2025-03-21T20:26:23.1797432Z             
2025-03-21T20:26:23.1797959Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1798393Z             aten_unsqueeze_copy_default_121: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_166, -1)
2025-03-21T20:26:23.1798493Z             
2025-03-21T20:26:23.1798903Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1799559Z             aten_permute_copy_default_451: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_121, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_121 = None
2025-03-21T20:26:23.1799674Z             
2025-03-21T20:26:23.1800049Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1800978Z             aten_convolution_default_77: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_451, p_layers_11_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_451 = p_layers_11_attention_wq_conv_weight = None
2025-03-21T20:26:23.1801082Z             
2025-03-21T20:26:23.1801506Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1802120Z             aten_permute_copy_default_452: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_77, [0, 2, 1, 3]);  aten_convolution_default_77 = None
2025-03-21T20:26:23.1802214Z             
2025-03-21T20:26:23.1802759Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1803365Z             aten_squeeze_copy_dims_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_452, [-1]);  aten_permute_copy_default_452 = None
2025-03-21T20:26:23.1803459Z             
2025-03-21T20:26:23.1803989Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1804429Z             aten_unsqueeze_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_166, -1)
2025-03-21T20:26:23.1804529Z             
2025-03-21T20:26:23.1804939Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1805579Z             aten_permute_copy_default_453: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_122, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_122 = None
2025-03-21T20:26:23.1805694Z             
2025-03-21T20:26:23.1806064Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1807001Z             aten_convolution_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_453, p_layers_11_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_453 = p_layers_11_attention_wk_conv_weight = None
2025-03-21T20:26:23.1807091Z             
2025-03-21T20:26:23.1807525Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1808136Z             aten_permute_copy_default_454: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_78, [0, 2, 1, 3]);  aten_convolution_default_78 = None
2025-03-21T20:26:23.1808242Z             
2025-03-21T20:26:23.1808785Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1809361Z             aten_squeeze_copy_dims_122: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_454, [-1]);  aten_permute_copy_default_454 = None
2025-03-21T20:26:23.1809454Z             
2025-03-21T20:26:23.1809975Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1810576Z             aten_unsqueeze_copy_default_123: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_166, -1);  aten_mul_tensor_166 = None
2025-03-21T20:26:23.1810679Z             
2025-03-21T20:26:23.1811087Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1811710Z             aten_permute_copy_default_455: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_123, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_123 = None
2025-03-21T20:26:23.1811812Z             
2025-03-21T20:26:23.1812179Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1813112Z             aten_convolution_default_79: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_455, p_layers_11_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_455 = p_layers_11_attention_wv_conv_weight = None
2025-03-21T20:26:23.1813204Z             
2025-03-21T20:26:23.1813634Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1814269Z             aten_permute_copy_default_456: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_79, [0, 2, 1, 3]);  aten_convolution_default_79 = None
2025-03-21T20:26:23.1814375Z             
2025-03-21T20:26:23.1814914Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1815498Z             aten_squeeze_copy_dims_123: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_456, [-1]);  aten_permute_copy_default_456 = None
2025-03-21T20:26:23.1815591Z             
2025-03-21T20:26:23.1816115Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:23.1816715Z             aten_view_copy_default_198: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_121, [1, 1, 12, 64]);  aten_squeeze_copy_dims_121 = None
2025-03-21T20:26:23.1816806Z             
2025-03-21T20:26:23.1817341Z              # File: /pytorch/executorch/examples/models/llama/attention.py:243 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1817902Z             aten_view_copy_default_199: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_122, [1, 1, 12, 64]);  aten_squeeze_copy_dims_122 = None
2025-03-21T20:26:23.1817999Z             
2025-03-21T20:26:23.1818525Z              # File: /pytorch/executorch/examples/models/llama/attention.py:244 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim)
2025-03-21T20:26:23.1819094Z             aten_view_copy_default_200: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_squeeze_copy_dims_123, [1, 1, 12, 64]);  aten_squeeze_copy_dims_123 = None
2025-03-21T20:26:23.1819185Z             
2025-03-21T20:26:23.1819726Z              # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1820301Z             aten_view_copy_default_201: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_198, [1, 1, 12, -1, 2]);  aten_view_copy_default_198 = None
2025-03-21T20:26:23.1820734Z             aten_slice_copy_tensor_44: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_201, 4, 0, 1)
2025-03-21T20:26:23.1821406Z             aten_slice_copy_tensor_45: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_201, 4, 1, 2);  aten_view_copy_default_201 = None
2025-03-21T20:26:23.1821952Z             aten_squeeze_copy_dims_124: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_44, [4]);  aten_slice_copy_tensor_44 = None
2025-03-21T20:26:23.1822483Z             aten_squeeze_copy_dims_125: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_45, [4]);  aten_slice_copy_tensor_45 = None
2025-03-21T20:26:23.1822571Z             
2025-03-21T20:26:23.1823107Z              # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1)
2025-03-21T20:26:23.1823680Z             aten_view_copy_default_202: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_199, [1, 1, 12, -1, 2]);  aten_view_copy_default_199 = None
2025-03-21T20:26:23.1824118Z             aten_slice_copy_tensor_46: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_202, 4, 0, 1)
2025-03-21T20:26:23.1824690Z             aten_slice_copy_tensor_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_view_copy_default_202, 4, 1, 2);  aten_view_copy_default_202 = None
2025-03-21T20:26:23.1825234Z             aten_squeeze_copy_dims_126: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_46, [4]);  aten_slice_copy_tensor_46 = None
2025-03-21T20:26:23.1825765Z             aten_squeeze_copy_dims_127: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_47, [4]);  aten_slice_copy_tensor_47 = None
2025-03-21T20:26:23.1825865Z             
2025-03-21T20:26:23.1826316Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1826832Z             aten_view_copy_default_203: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor, [1, 1, 1, 32]);  aten_index_tensor = None
2025-03-21T20:26:23.1826950Z             
2025-03-21T20:26:23.1827402Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:23.1827917Z             aten_view_copy_default_204: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_index_tensor_1, [1, 1, 1, 32]);  aten_index_tensor_1 = None
2025-03-21T20:26:23.1828007Z             
2025-03-21T20:26:23.1828495Z              # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin
2025-03-21T20:26:23.1828944Z             aten_mul_tensor_167: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_124, aten_view_copy_default_203)
2025-03-21T20:26:23.1829398Z             aten_mul_tensor_168: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_125, aten_view_copy_default_204)
2025-03-21T20:26:23.1829954Z             aten_sub_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_167, aten_mul_tensor_168);  aten_mul_tensor_167 = aten_mul_tensor_168 = None
2025-03-21T20:26:23.1830055Z             
2025-03-21T20:26:23.1830529Z              # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos
2025-03-21T20:26:23.1831107Z             aten_mul_tensor_169: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_124, aten_view_copy_default_204);  aten_squeeze_copy_dims_124 = None
2025-03-21T20:26:23.1831721Z             aten_mul_tensor_170: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_125, aten_view_copy_default_203);  aten_squeeze_copy_dims_125 = None
2025-03-21T20:26:23.1832282Z             aten_add_tensor_55: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_169, aten_mul_tensor_170);  aten_mul_tensor_169 = aten_mul_tensor_170 = None
2025-03-21T20:26:23.1832373Z             
2025-03-21T20:26:23.1832864Z              # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin
2025-03-21T20:26:23.1833312Z             aten_mul_tensor_171: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_126, aten_view_copy_default_203)
2025-03-21T20:26:23.1833761Z             aten_mul_tensor_172: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_127, aten_view_copy_default_204)
2025-03-21T20:26:23.1834313Z             aten_sub_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(aten_mul_tensor_171, aten_mul_tensor_172);  aten_mul_tensor_171 = aten_mul_tensor_172 = None
2025-03-21T20:26:23.1834402Z             
2025-03-21T20:26:23.1834887Z              # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos
2025-03-21T20:26:23.1835601Z             aten_mul_tensor_173: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_126, aten_view_copy_default_204);  aten_squeeze_copy_dims_126 = aten_view_copy_default_204 = None
2025-03-21T20:26:23.1836275Z             aten_mul_tensor_174: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_127, aten_view_copy_default_203);  aten_squeeze_copy_dims_127 = aten_view_copy_default_203 = None
2025-03-21T20:26:23.1836824Z             aten_add_tensor_56: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_173, aten_mul_tensor_174);  aten_mul_tensor_173 = aten_mul_tensor_174 = None
2025-03-21T20:26:23.1836924Z             
2025-03-21T20:26:23.1837474Z              # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1838019Z             aten_unsqueeze_copy_default_124: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_22, 4);  aten_sub_tensor_22 = None
2025-03-21T20:26:23.1838544Z             aten_unsqueeze_copy_default_125: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_55, 4);  aten_add_tensor_55 = None
2025-03-21T20:26:23.1839322Z             aten_cat_default_44: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_124, aten_unsqueeze_copy_default_125], -1);  aten_unsqueeze_copy_default_124 = aten_unsqueeze_copy_default_125 = None
2025-03-21T20:26:23.1839840Z             aten_view_copy_default_205: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_44, [1, 1, 12, 64]);  aten_cat_default_44 = None
2025-03-21T20:26:23.1839944Z             
2025-03-21T20:26:23.1840472Z              # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3)
2025-03-21T20:26:23.1841011Z             aten_unsqueeze_copy_default_126: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_sub_tensor_23, 4);  aten_sub_tensor_23 = None
2025-03-21T20:26:23.1841532Z             aten_unsqueeze_copy_default_127: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_add_tensor_56, 4);  aten_add_tensor_56 = None
2025-03-21T20:26:23.1842353Z             aten_cat_default_45: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_126, aten_unsqueeze_copy_default_127], -1);  aten_unsqueeze_copy_default_126 = aten_unsqueeze_copy_default_127 = None
2025-03-21T20:26:23.1842875Z             aten_view_copy_default_206: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_45, [1, 1, 12, 64]);  aten_cat_default_45 = None
2025-03-21T20:26:23.1842972Z             
2025-03-21T20:26:23.1843506Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:23.1844097Z             aten_permute_copy_default_457: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_205, [0, 2, 1, 3]);  aten_view_copy_default_205 = None
2025-03-21T20:26:23.1844198Z             
2025-03-21T20:26:23.1844874Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:345 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val)
2025-03-21T20:26:23.1845681Z             aten_index_put_default_22: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_11_attention_kv_cache_past_k_caches, [None, attn_options_input_pos], aten_view_copy_default_206);  aten_view_copy_default_206 = None
2025-03-21T20:26:23.1845770Z             
2025-03-21T20:26:23.1846480Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:346 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val)
2025-03-21T20:26:23.1847270Z             aten_index_put_default_23: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(b_layers_11_attention_kv_cache_past_v_caches, [None, attn_options_input_pos], aten_view_copy_default_200);  aten_view_copy_default_200 = None
2025-03-21T20:26:23.1847373Z             
2025-03-21T20:26:23.1848012Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1848541Z             aten_permute_copy_default_458: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1849093Z             aten_select_copy_int_528: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_458, 0, 0);  aten_permute_copy_default_458 = None
2025-03-21T20:26:23.1849610Z             aten_select_copy_int_529: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_528, 0, 0);  aten_select_copy_int_528 = None
2025-03-21T20:26:23.1850086Z             aten_permute_copy_default_459: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1850657Z             aten_select_copy_int_530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_459, 0, 0);  aten_permute_copy_default_459 = None
2025-03-21T20:26:23.1851165Z             aten_select_copy_int_531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_530, 0, 1);  aten_select_copy_int_530 = None
2025-03-21T20:26:23.1851657Z             aten_permute_copy_default_460: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1852209Z             aten_select_copy_int_532: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_460, 0, 0);  aten_permute_copy_default_460 = None
2025-03-21T20:26:23.1852755Z             aten_select_copy_int_533: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_532, 0, 2);  aten_select_copy_int_532 = None
2025-03-21T20:26:23.1853256Z             aten_permute_copy_default_461: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1853822Z             aten_select_copy_int_534: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_461, 0, 0);  aten_permute_copy_default_461 = None
2025-03-21T20:26:23.1854327Z             aten_select_copy_int_535: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_534, 0, 3);  aten_select_copy_int_534 = None
2025-03-21T20:26:23.1854819Z             aten_permute_copy_default_462: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1855369Z             aten_select_copy_int_536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_462, 0, 0);  aten_permute_copy_default_462 = None
2025-03-21T20:26:23.1855879Z             aten_select_copy_int_537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_536, 0, 4);  aten_select_copy_int_536 = None
2025-03-21T20:26:23.1856370Z             aten_permute_copy_default_463: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1856946Z             aten_select_copy_int_538: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_463, 0, 0);  aten_permute_copy_default_463 = None
2025-03-21T20:26:23.1857466Z             aten_select_copy_int_539: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_538, 0, 5);  aten_select_copy_int_538 = None
2025-03-21T20:26:23.1857947Z             aten_permute_copy_default_464: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1858512Z             aten_select_copy_int_540: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_464, 0, 0);  aten_permute_copy_default_464 = None
2025-03-21T20:26:23.1859042Z             aten_select_copy_int_541: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_540, 0, 6);  aten_select_copy_int_540 = None
2025-03-21T20:26:23.1859526Z             aten_permute_copy_default_465: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1860081Z             aten_select_copy_int_542: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_465, 0, 0);  aten_permute_copy_default_465 = None
2025-03-21T20:26:23.1860602Z             aten_select_copy_int_543: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_542, 0, 7);  aten_select_copy_int_542 = None
2025-03-21T20:26:23.1861078Z             aten_permute_copy_default_466: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1861715Z             aten_select_copy_int_544: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_466, 0, 0);  aten_permute_copy_default_466 = None
2025-03-21T20:26:23.1862223Z             aten_select_copy_int_545: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_544, 0, 8);  aten_select_copy_int_544 = None
2025-03-21T20:26:23.1862713Z             aten_permute_copy_default_467: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1863290Z             aten_select_copy_int_546: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_467, 0, 0);  aten_permute_copy_default_467 = None
2025-03-21T20:26:23.1863833Z             aten_select_copy_int_547: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_546, 0, 9);  aten_select_copy_int_546 = None
2025-03-21T20:26:23.1864310Z             aten_permute_copy_default_468: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1864876Z             aten_select_copy_int_548: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_468, 0, 0);  aten_permute_copy_default_468 = None
2025-03-21T20:26:23.1865386Z             aten_select_copy_int_549: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_548, 0, 10);  aten_select_copy_int_548 = None
2025-03-21T20:26:23.1865878Z             aten_permute_copy_default_469: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_22, [0, 2, 1, 3])
2025-03-21T20:26:23.1866432Z             aten_select_copy_int_550: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_469, 0, 0);  aten_permute_copy_default_469 = None
2025-03-21T20:26:23.1866983Z             aten_select_copy_int_551: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_550, 0, 11);  aten_select_copy_int_550 = None
2025-03-21T20:26:23.1869302Z             aten_cat_default_46: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_529, aten_select_copy_int_531, aten_select_copy_int_533, aten_select_copy_int_535, aten_select_copy_int_537, aten_select_copy_int_539, aten_select_copy_int_541, aten_select_copy_int_543, aten_select_copy_int_545, aten_select_copy_int_547, aten_select_copy_int_549, aten_select_copy_int_551]);  aten_select_copy_int_529 = aten_select_copy_int_531 = aten_select_copy_int_533 = aten_select_copy_int_535 = aten_select_copy_int_537 = aten_select_copy_int_539 = aten_select_copy_int_541 = aten_select_copy_int_543 = aten_select_copy_int_545 = aten_select_copy_int_547 = aten_select_copy_int_549 = aten_select_copy_int_551 = None
2025-03-21T20:26:23.1869874Z             aten_view_copy_default_207: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_46, [1, 12, 128, 64]);  aten_cat_default_46 = None
2025-03-21T20:26:23.1869964Z             
2025-03-21T20:26:23.1870623Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:128 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim)
2025-03-21T20:26:23.1871101Z             aten_permute_copy_default_470: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1871667Z             aten_select_copy_int_552: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_470, 0, 0);  aten_permute_copy_default_470 = None
2025-03-21T20:26:23.1872172Z             aten_select_copy_int_553: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_552, 0, 0);  aten_select_copy_int_552 = None
2025-03-21T20:26:23.1872662Z             aten_permute_copy_default_471: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1873211Z             aten_select_copy_int_554: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_471, 0, 0);  aten_permute_copy_default_471 = None
2025-03-21T20:26:23.1873731Z             aten_select_copy_int_555: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_554, 0, 1);  aten_select_copy_int_554 = None
2025-03-21T20:26:23.1874258Z             aten_permute_copy_default_472: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1874819Z             aten_select_copy_int_556: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_472, 0, 0);  aten_permute_copy_default_472 = None
2025-03-21T20:26:23.1875328Z             aten_select_copy_int_557: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_556, 0, 2);  aten_select_copy_int_556 = None
2025-03-21T20:26:23.1876026Z             aten_permute_copy_default_473: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1876577Z             aten_select_copy_int_558: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_473, 0, 0);  aten_permute_copy_default_473 = None
2025-03-21T20:26:23.1877094Z             aten_select_copy_int_559: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_558, 0, 3);  aten_select_copy_int_558 = None
2025-03-21T20:26:23.1877570Z             aten_permute_copy_default_474: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1878189Z             aten_select_copy_int_560: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_474, 0, 0);  aten_permute_copy_default_474 = None
2025-03-21T20:26:23.1878696Z             aten_select_copy_int_561: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_560, 0, 4);  aten_select_copy_int_560 = None
2025-03-21T20:26:23.1879170Z             aten_permute_copy_default_475: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1879734Z             aten_select_copy_int_562: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_475, 0, 0);  aten_permute_copy_default_475 = None
2025-03-21T20:26:23.1880276Z             aten_select_copy_int_563: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_562, 0, 5);  aten_select_copy_int_562 = None
2025-03-21T20:26:23.1880766Z             aten_permute_copy_default_476: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1881316Z             aten_select_copy_int_564: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_476, 0, 0);  aten_permute_copy_default_476 = None
2025-03-21T20:26:23.1881833Z             aten_select_copy_int_565: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_564, 0, 6);  aten_select_copy_int_564 = None
2025-03-21T20:26:23.1882312Z             aten_permute_copy_default_477: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1882873Z             aten_select_copy_int_566: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_477, 0, 0);  aten_permute_copy_default_477 = None
2025-03-21T20:26:23.1883381Z             aten_select_copy_int_567: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_566, 0, 7);  aten_select_copy_int_566 = None
2025-03-21T20:26:23.1883867Z             aten_permute_copy_default_478: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1884415Z             aten_select_copy_int_568: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_478, 0, 0);  aten_permute_copy_default_478 = None
2025-03-21T20:26:23.1884998Z             aten_select_copy_int_569: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_568, 0, 8);  aten_select_copy_int_568 = None
2025-03-21T20:26:23.1885480Z             aten_permute_copy_default_479: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1886046Z             aten_select_copy_int_570: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_479, 0, 0);  aten_permute_copy_default_479 = None
2025-03-21T20:26:23.1886554Z             aten_select_copy_int_571: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_570, 0, 9);  aten_select_copy_int_570 = None
2025-03-21T20:26:23.1887042Z             aten_permute_copy_default_480: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1887594Z             aten_select_copy_int_572: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_480, 0, 0);  aten_permute_copy_default_480 = None
2025-03-21T20:26:23.1888116Z             aten_select_copy_int_573: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_572, 0, 10);  aten_select_copy_int_572 = None
2025-03-21T20:26:23.1888630Z             aten_permute_copy_default_481: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_index_put_default_23, [0, 2, 1, 3])
2025-03-21T20:26:23.1889194Z             aten_select_copy_int_574: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_permute_copy_default_481, 0, 0);  aten_permute_copy_default_481 = None
2025-03-21T20:26:23.1889702Z             aten_select_copy_int_575: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_select_copy_int_574, 0, 11);  aten_select_copy_int_574 = None
2025-03-21T20:26:23.1892045Z             aten_cat_default_47: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_select_copy_int_553, aten_select_copy_int_555, aten_select_copy_int_557, aten_select_copy_int_559, aten_select_copy_int_561, aten_select_copy_int_563, aten_select_copy_int_565, aten_select_copy_int_567, aten_select_copy_int_569, aten_select_copy_int_571, aten_select_copy_int_573, aten_select_copy_int_575]);  aten_select_copy_int_553 = aten_select_copy_int_555 = aten_select_copy_int_557 = aten_select_copy_int_559 = aten_select_copy_int_561 = aten_select_copy_int_563 = aten_select_copy_int_565 = aten_select_copy_int_567 = aten_select_copy_int_569 = aten_select_copy_int_571 = aten_select_copy_int_573 = aten_select_copy_int_575 = None
2025-03-21T20:26:23.1892602Z             aten_view_copy_default_208: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default_47, [1, 12, 128, 64]);  aten_cat_default_47 = None
2025-03-21T20:26:23.1892710Z             
2025-03-21T20:26:23.1893209Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:23.1893888Z             aten_index_tensor_13: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(b_layers_11_attention_mask, [attn_options_input_pos]);  b_layers_11_attention_mask = attn_options_input_pos = None
2025-03-21T20:26:23.1893981Z             
2025-03-21T20:26:23.1894575Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:23.1895173Z             aten_permute_copy_default_482: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_207, [0, 1, 3, 2]);  aten_view_copy_default_207 = None
2025-03-21T20:26:23.1895834Z             aten_expand_copy_default_44: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_457, [1, 12, 1, 64]);  aten_permute_copy_default_457 = None
2025-03-21T20:26:23.1896402Z             aten_view_copy_default_209: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_44, [12, 1, 64]);  aten_expand_copy_default_44 = None
2025-03-21T20:26:23.1897031Z             aten_expand_copy_default_45: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_482, [1, 12, 64, 128]);  aten_permute_copy_default_482 = None
2025-03-21T20:26:23.1897606Z             aten_view_copy_default_210: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_45, [12, 64, 128]);  aten_expand_copy_default_45 = None
2025-03-21T20:26:23.1898283Z             aten_bmm_default_22: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_209, aten_view_copy_default_210);  aten_view_copy_default_209 = aten_view_copy_default_210 = None
2025-03-21T20:26:23.1898814Z             aten_view_copy_default_211: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_22, [1, 12, 1, 128]);  aten_bmm_default_22 = None
2025-03-21T20:26:23.1899520Z             aten_mul_tensor_175: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_211, _lifted_tensor_constant49);  aten_view_copy_default_211 = _lifted_tensor_constant49 = None
2025-03-21T20:26:23.1899612Z             
2025-03-21T20:26:23.1900115Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:23.1900684Z             aten_add_tensor_57: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_175, aten_index_tensor_13);  aten_mul_tensor_175 = aten_index_tensor_13 = None
2025-03-21T20:26:23.1900779Z             
2025-03-21T20:26:23.1901433Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:23.1901973Z             aten__softmax_default_11: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_57, -1, False);  aten_add_tensor_57 = None
2025-03-21T20:26:23.1902085Z             
2025-03-21T20:26:23.1902553Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:23.1903146Z             aten_expand_copy_default_46: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten__softmax_default_11, [1, 12, 1, 128]);  aten__softmax_default_11 = None
2025-03-21T20:26:23.1903719Z             aten_view_copy_default_212: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_46, [12, 1, 128]);  aten_expand_copy_default_46 = None
2025-03-21T20:26:23.1904328Z             aten_expand_copy_default_47: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_view_copy_default_208, [1, 12, 128, 64]);  aten_view_copy_default_208 = None
2025-03-21T20:26:23.1904906Z             aten_view_copy_default_213: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_47, [12, 128, 64]);  aten_expand_copy_default_47 = None
2025-03-21T20:26:23.1905584Z             aten_bmm_default_23: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_212, aten_view_copy_default_213);  aten_view_copy_default_212 = aten_view_copy_default_213 = None
2025-03-21T20:26:23.1906099Z             aten_view_copy_default_214: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_23, [1, 12, 1, 64]);  aten_bmm_default_23 = None
2025-03-21T20:26:23.1906229Z             
2025-03-21T20:26:23.1906879Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:165 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim)
2025-03-21T20:26:23.1907487Z             aten_permute_copy_default_483: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_214, [0, 2, 1, 3]);  aten_view_copy_default_214 = None
2025-03-21T20:26:23.1908071Z             aten_view_copy_default_215: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_483, [1, 1, 768]);  aten_permute_copy_default_483 = None
2025-03-21T20:26:23.1908172Z             
2025-03-21T20:26:23.1908697Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1909289Z             aten_unsqueeze_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_view_copy_default_215, -1);  aten_view_copy_default_215 = None
2025-03-21T20:26:23.1909390Z             
2025-03-21T20:26:23.1909800Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1910461Z             aten_permute_copy_default_484: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_128, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_128 = None
2025-03-21T20:26:23.1910551Z             
2025-03-21T20:26:23.1910933Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1911868Z             aten_convolution_default_80: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_484, p_layers_11_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_484 = p_layers_11_attention_wo_conv_weight = None
2025-03-21T20:26:23.1911972Z             
2025-03-21T20:26:23.1912399Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1913045Z             aten_permute_copy_default_485: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_80, [0, 2, 1, 3]);  aten_convolution_default_80 = None
2025-03-21T20:26:23.1913134Z             
2025-03-21T20:26:23.1913681Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1914261Z             aten_squeeze_copy_dims_128: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_485, [-1]);  aten_permute_copy_default_485 = None
2025-03-21T20:26:23.1914352Z             
2025-03-21T20:26:23.1914740Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:23.1915338Z             aten_add_tensor_58: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_54, aten_squeeze_copy_dims_128);  aten_add_tensor_54 = aten_squeeze_copy_dims_128 = None
2025-03-21T20:26:23.1915439Z             
2025-03-21T20:26:23.1915952Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1916346Z             aten_pow_tensor_scalar_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_58, 2)
2025-03-21T20:26:23.1916813Z             aten_mean_dim_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_23, [2], True);  aten_pow_tensor_scalar_23 = None
2025-03-21T20:26:23.1917330Z             aten_add_scalar_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_23, 9.999999747378752e-06);  aten_mean_dim_23 = None
2025-03-21T20:26:23.1917760Z             aten_rsqrt_default_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_23);  aten_add_scalar_23 = None
2025-03-21T20:26:23.1918275Z             aten_mul_tensor_176: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_58, aten_rsqrt_default_23);  aten_rsqrt_default_23 = None
2025-03-21T20:26:23.1918892Z             aten_mul_tensor_177: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_176, p_layers_11_ffn_norm_weight);  aten_mul_tensor_176 = p_layers_11_ffn_norm_weight = None
2025-03-21T20:26:23.1918983Z             
2025-03-21T20:26:23.1919517Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1919959Z             aten_unsqueeze_copy_default_129: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_177, -1)
2025-03-21T20:26:23.1920060Z             
2025-03-21T20:26:23.1920471Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1921133Z             aten_permute_copy_default_486: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_129, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_129 = None
2025-03-21T20:26:23.1921226Z             
2025-03-21T20:26:23.1921607Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1922559Z             aten_convolution_default_81: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_486, p_layers_11_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_486 = p_layers_11_feed_forward_w1_conv_weight = None
2025-03-21T20:26:23.1922662Z             
2025-03-21T20:26:23.1923087Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1923740Z             aten_permute_copy_default_487: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_81, [0, 2, 1, 3]);  aten_convolution_default_81 = None
2025-03-21T20:26:23.1923831Z             
2025-03-21T20:26:23.1924373Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1924959Z             aten_squeeze_copy_dims_129: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_487, [-1]);  aten_permute_copy_default_487 = None
2025-03-21T20:26:23.1925053Z             
2025-03-21T20:26:23.1925587Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1925982Z             aten_sigmoid_default_11: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_129)
2025-03-21T20:26:23.1926647Z             aten_mul_tensor_178: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_squeeze_copy_dims_129, aten_sigmoid_default_11);  aten_squeeze_copy_dims_129 = aten_sigmoid_default_11 = None
2025-03-21T20:26:23.1926738Z             
2025-03-21T20:26:23.1927275Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1927849Z             aten_unsqueeze_copy_default_130: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_177, -1);  aten_mul_tensor_177 = None
2025-03-21T20:26:23.1927990Z             
2025-03-21T20:26:23.1928397Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1929025Z             aten_permute_copy_default_488: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_130, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_130 = None
2025-03-21T20:26:23.1929127Z             
2025-03-21T20:26:23.1929495Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1930458Z             aten_convolution_default_82: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_488, p_layers_11_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_488 = p_layers_11_feed_forward_w3_conv_weight = None
2025-03-21T20:26:23.1930555Z             
2025-03-21T20:26:23.1930990Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1931603Z             aten_permute_copy_default_489: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_82, [0, 2, 1, 3]);  aten_convolution_default_82 = None
2025-03-21T20:26:23.1931704Z             
2025-03-21T20:26:23.1932269Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1932853Z             aten_squeeze_copy_dims_130: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_489, [-1]);  aten_permute_copy_default_489 = None
2025-03-21T20:26:23.1932944Z             
2025-03-21T20:26:23.1933467Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:23.1934093Z             aten_mul_tensor_179: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_178, aten_squeeze_copy_dims_130);  aten_mul_tensor_178 = aten_squeeze_copy_dims_130 = None
2025-03-21T20:26:23.1934208Z             
2025-03-21T20:26:23.1934744Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1935290Z             aten_unsqueeze_copy_default_131: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_179, -1);  aten_mul_tensor_179 = None
2025-03-21T20:26:23.1935393Z             
2025-03-21T20:26:23.1935801Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1936446Z             aten_permute_copy_default_490: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_unsqueeze_copy_default_131, [0, 2, 1, 3]);  aten_unsqueeze_copy_default_131 = None
2025-03-21T20:26:23.1936541Z             
2025-03-21T20:26:23.1936919Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1937859Z             aten_convolution_default_83: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_490, p_layers_11_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_490 = p_layers_11_feed_forward_w2_conv_weight = None
2025-03-21T20:26:23.1937965Z             
2025-03-21T20:26:23.1938389Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1939089Z             aten_permute_copy_default_491: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_83, [0, 2, 1, 3]);  aten_convolution_default_83 = None
2025-03-21T20:26:23.1939265Z             
2025-03-21T20:26:23.1939816Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1940399Z             aten_squeeze_copy_dims_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_permute_copy_default_491, [-1]);  aten_permute_copy_default_491 = None
2025-03-21T20:26:23.1940493Z             
2025-03-21T20:26:23.1941022Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:23.1941687Z             aten_add_tensor_59: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor_58, aten_squeeze_copy_dims_131);  aten_add_tensor_58 = aten_squeeze_copy_dims_131 = None
2025-03-21T20:26:23.1941794Z             
2025-03-21T20:26:23.1942202Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:180 in forward, code: h = h[:, -1, :]
2025-03-21T20:26:23.1942687Z             aten_select_copy_int_576: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_add_tensor_59, 1, -1);  aten_add_tensor_59 = None
2025-03-21T20:26:23.1942779Z             
2025-03-21T20:26:23.1943218Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:182 in forward, code: h = self.norm(h)
2025-03-21T20:26:23.1943625Z             aten_pow_tensor_scalar_24: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_select_copy_int_576, 2)
2025-03-21T20:26:23.1944093Z             aten_mean_dim_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_24, [1], True);  aten_pow_tensor_scalar_24 = None
2025-03-21T20:26:23.1944564Z             aten_add_scalar_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_24, 9.999999747378752e-06);  aten_mean_dim_24 = None
2025-03-21T20:26:23.1944994Z             aten_rsqrt_default_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_24);  aten_add_scalar_24 = None
2025-03-21T20:26:23.1945649Z             aten_mul_tensor_180: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_select_copy_int_576, aten_rsqrt_default_24);  aten_select_copy_int_576 = aten_rsqrt_default_24 = None
2025-03-21T20:26:23.1946173Z             aten_mul_tensor_181: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_180, p_norm_weight);  aten_mul_tensor_180 = p_norm_weight = None
2025-03-21T20:26:23.1946277Z             
2025-03-21T20:26:23.1946803Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:190 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1)
2025-03-21T20:26:23.1947343Z             aten_view_copy_default_216: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_mul_tensor_181, [1, 1, 768, 1]);  aten_mul_tensor_181 = None
2025-03-21T20:26:23.1947438Z             
2025-03-21T20:26:23.1947848Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:23.1948456Z             aten_permute_copy_default_492: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_216, [0, 2, 1, 3]);  aten_view_copy_default_216 = None
2025-03-21T20:26:23.1948547Z             
2025-03-21T20:26:23.1948932Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:23.1949793Z             aten_convolution_default_84: "f32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_permute_copy_default_492, p_output_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_permute_copy_default_492 = p_output_conv_weight = None
2025-03-21T20:26:23.1949973Z             
2025-03-21T20:26:23.1950416Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:23.1951056Z             aten_permute_copy_default_493: "f32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_convolution_default_84, [0, 2, 1, 3]);  aten_convolution_default_84 = None
2025-03-21T20:26:23.1951147Z             
2025-03-21T20:26:23.1951702Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:194 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3])
2025-03-21T20:26:23.1952297Z             aten_view_copy_default_217: "f32[1, 32000]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_permute_copy_default_493, [1, 32000]);  aten_permute_copy_default_493 = None
2025-03-21T20:26:23.1952405Z             
2025-03-21T20:26:23.1953164Z              # File: <eval_with_key>.25:2111 in forward, code: copy__default = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_k_caches, index_put);  layers_0_attention_kv_cache_past_k_caches = index_put = copy__default = None
2025-03-21T20:26:23.1953990Z             aten_copy_default: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_0_attention_kv_cache_past_k_caches, aten_index_put_default);  b_layers_0_attention_kv_cache_past_k_caches = aten_index_put_default = None
2025-03-21T20:26:23.1954081Z             
2025-03-21T20:26:23.1954852Z              # File: <eval_with_key>.25:2112 in forward, code: copy__default_1 = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_v_caches, index_put_1);  layers_0_attention_kv_cache_past_v_caches = index_put_1 = copy__default_1 = None
2025-03-21T20:26:23.1955658Z             aten_copy_default_1: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_0_attention_kv_cache_past_v_caches, aten_index_put_default_1);  b_layers_0_attention_kv_cache_past_v_caches = aten_index_put_default_1 = None
2025-03-21T20:26:23.1955751Z             
2025-03-21T20:26:23.1956554Z              # File: <eval_with_key>.25:2113 in forward, code: copy__default_2 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_k_caches, index_put_2);  layers_1_attention_kv_cache_past_k_caches = index_put_2 = copy__default_2 = None
2025-03-21T20:26:23.1957344Z             aten_copy_default_2: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_1_attention_kv_cache_past_k_caches, aten_index_put_default_2);  b_layers_1_attention_kv_cache_past_k_caches = aten_index_put_default_2 = None
2025-03-21T20:26:23.1957445Z             
2025-03-21T20:26:23.1958205Z              # File: <eval_with_key>.25:2114 in forward, code: copy__default_3 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_v_caches, index_put_3);  layers_1_attention_kv_cache_past_v_caches = index_put_3 = copy__default_3 = None
2025-03-21T20:26:23.1959002Z             aten_copy_default_3: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_1_attention_kv_cache_past_v_caches, aten_index_put_default_3);  b_layers_1_attention_kv_cache_past_v_caches = aten_index_put_default_3 = None
2025-03-21T20:26:23.1959094Z             
2025-03-21T20:26:23.1959865Z              # File: <eval_with_key>.25:2115 in forward, code: copy__default_4 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_k_caches, index_put_4);  layers_2_attention_kv_cache_past_k_caches = index_put_4 = copy__default_4 = None
2025-03-21T20:26:23.1960654Z             aten_copy_default_4: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_2_attention_kv_cache_past_k_caches, aten_index_put_default_4);  b_layers_2_attention_kv_cache_past_k_caches = aten_index_put_default_4 = None
2025-03-21T20:26:23.1960780Z             
2025-03-21T20:26:23.1961563Z              # File: <eval_with_key>.25:2116 in forward, code: copy__default_5 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_v_caches, index_put_5);  layers_2_attention_kv_cache_past_v_caches = index_put_5 = copy__default_5 = None
2025-03-21T20:26:23.1962370Z             aten_copy_default_5: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_2_attention_kv_cache_past_v_caches, aten_index_put_default_5);  b_layers_2_attention_kv_cache_past_v_caches = aten_index_put_default_5 = None
2025-03-21T20:26:23.1962460Z             
2025-03-21T20:26:23.1963226Z              # File: <eval_with_key>.25:2117 in forward, code: copy__default_6 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_k_caches, index_put_6);  layers_3_attention_kv_cache_past_k_caches = index_put_6 = copy__default_6 = None
2025-03-21T20:26:23.1964016Z             aten_copy_default_6: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_3_attention_kv_cache_past_k_caches, aten_index_put_default_6);  b_layers_3_attention_kv_cache_past_k_caches = aten_index_put_default_6 = None
2025-03-21T20:26:23.1964121Z             
2025-03-21T20:26:23.1964879Z              # File: <eval_with_key>.25:2118 in forward, code: copy__default_7 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_v_caches, index_put_7);  layers_3_attention_kv_cache_past_v_caches = index_put_7 = copy__default_7 = None
2025-03-21T20:26:23.1965709Z             aten_copy_default_7: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_3_attention_kv_cache_past_v_caches, aten_index_put_default_7);  b_layers_3_attention_kv_cache_past_v_caches = aten_index_put_default_7 = None
2025-03-21T20:26:23.1965802Z             
2025-03-21T20:26:23.1966576Z              # File: <eval_with_key>.25:2119 in forward, code: copy__default_8 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_k_caches, index_put_8);  layers_4_attention_kv_cache_past_k_caches = index_put_8 = copy__default_8 = None
2025-03-21T20:26:23.1967363Z             aten_copy_default_8: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_4_attention_kv_cache_past_k_caches, aten_index_put_default_8);  b_layers_4_attention_kv_cache_past_k_caches = aten_index_put_default_8 = None
2025-03-21T20:26:23.1967490Z             
2025-03-21T20:26:23.1968250Z              # File: <eval_with_key>.25:2120 in forward, code: copy__default_9 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_v_caches, index_put_9);  layers_4_attention_kv_cache_past_v_caches = index_put_9 = copy__default_9 = None
2025-03-21T20:26:23.1969042Z             aten_copy_default_9: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_4_attention_kv_cache_past_v_caches, aten_index_put_default_9);  b_layers_4_attention_kv_cache_past_v_caches = aten_index_put_default_9 = None
2025-03-21T20:26:23.1969149Z             
2025-03-21T20:26:23.1969924Z              # File: <eval_with_key>.25:2121 in forward, code: copy__default_10 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_k_caches, index_put_10);  layers_5_attention_kv_cache_past_k_caches = index_put_10 = copy__default_10 = None
2025-03-21T20:26:23.1970739Z             aten_copy_default_10: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_5_attention_kv_cache_past_k_caches, aten_index_put_default_10);  b_layers_5_attention_kv_cache_past_k_caches = aten_index_put_default_10 = None
2025-03-21T20:26:23.1970830Z             
2025-03-21T20:26:23.1971613Z              # File: <eval_with_key>.25:2122 in forward, code: copy__default_11 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_v_caches, index_put_11);  layers_5_attention_kv_cache_past_v_caches = index_put_11 = copy__default_11 = None
2025-03-21T20:26:23.1972445Z             aten_copy_default_11: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_5_attention_kv_cache_past_v_caches, aten_index_put_default_11);  b_layers_5_attention_kv_cache_past_v_caches = aten_index_put_default_11 = None
2025-03-21T20:26:23.1972571Z             
2025-03-21T20:26:23.1973336Z              # File: <eval_with_key>.25:2123 in forward, code: copy__default_12 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_k_caches, index_put_12);  layers_6_attention_kv_cache_past_k_caches = index_put_12 = copy__default_12 = None
2025-03-21T20:26:23.1974146Z             aten_copy_default_12: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_6_attention_kv_cache_past_k_caches, aten_index_put_default_12);  b_layers_6_attention_kv_cache_past_k_caches = aten_index_put_default_12 = None
2025-03-21T20:26:23.1974236Z             
2025-03-21T20:26:23.1975016Z              # File: <eval_with_key>.25:2124 in forward, code: copy__default_13 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_v_caches, index_put_13);  layers_6_attention_kv_cache_past_v_caches = index_put_13 = copy__default_13 = None
2025-03-21T20:26:23.1975974Z             aten_copy_default_13: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_6_attention_kv_cache_past_v_caches, aten_index_put_default_13);  b_layers_6_attention_kv_cache_past_v_caches = aten_index_put_default_13 = None
2025-03-21T20:26:23.1976081Z             
2025-03-21T20:26:23.1976907Z              # File: <eval_with_key>.25:2125 in forward, code: copy__default_14 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_k_caches, index_put_14);  layers_7_attention_kv_cache_past_k_caches = index_put_14 = copy__default_14 = None
2025-03-21T20:26:23.1977718Z             aten_copy_default_14: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_7_attention_kv_cache_past_k_caches, aten_index_put_default_14);  b_layers_7_attention_kv_cache_past_k_caches = aten_index_put_default_14 = None
2025-03-21T20:26:23.1977813Z             
2025-03-21T20:26:23.1978598Z              # File: <eval_with_key>.25:2126 in forward, code: copy__default_15 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_v_caches, index_put_15);  layers_7_attention_kv_cache_past_v_caches = index_put_15 = copy__default_15 = None
2025-03-21T20:26:23.1979433Z             aten_copy_default_15: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_7_attention_kv_cache_past_v_caches, aten_index_put_default_15);  b_layers_7_attention_kv_cache_past_v_caches = aten_index_put_default_15 = None
2025-03-21T20:26:23.1979539Z             
2025-03-21T20:26:23.1980309Z              # File: <eval_with_key>.25:2127 in forward, code: copy__default_16 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_k_caches, index_put_16);  layers_8_attention_kv_cache_past_k_caches = index_put_16 = copy__default_16 = None
2025-03-21T20:26:23.1981125Z             aten_copy_default_16: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_8_attention_kv_cache_past_k_caches, aten_index_put_default_16);  b_layers_8_attention_kv_cache_past_k_caches = aten_index_put_default_16 = None
2025-03-21T20:26:23.1981273Z             
2025-03-21T20:26:23.1982062Z              # File: <eval_with_key>.25:2128 in forward, code: copy__default_17 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_v_caches, index_put_17);  layers_8_attention_kv_cache_past_v_caches = index_put_17 = copy__default_17 = None
2025-03-21T20:26:23.1982860Z             aten_copy_default_17: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_8_attention_kv_cache_past_v_caches, aten_index_put_default_17);  b_layers_8_attention_kv_cache_past_v_caches = aten_index_put_default_17 = None
2025-03-21T20:26:23.1982966Z             
2025-03-21T20:26:23.1983776Z              # File: <eval_with_key>.25:2129 in forward, code: copy__default_18 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_k_caches, index_put_18);  layers_9_attention_kv_cache_past_k_caches = index_put_18 = copy__default_18 = None
2025-03-21T20:26:23.1984925Z             aten_copy_default_18: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_9_attention_kv_cache_past_k_caches, aten_index_put_default_18);  b_layers_9_attention_kv_cache_past_k_caches = aten_index_put_default_18 = None
2025-03-21T20:26:23.1985035Z             
2025-03-21T20:26:23.1985811Z              # File: <eval_with_key>.25:2130 in forward, code: copy__default_19 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_v_caches, index_put_19);  layers_9_attention_kv_cache_past_v_caches = index_put_19 = copy__default_19 = None
2025-03-21T20:26:23.1986620Z             aten_copy_default_19: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_9_attention_kv_cache_past_v_caches, aten_index_put_default_19);  b_layers_9_attention_kv_cache_past_v_caches = aten_index_put_default_19 = None
2025-03-21T20:26:23.1986715Z             
2025-03-21T20:26:23.1987507Z              # File: <eval_with_key>.25:2131 in forward, code: copy__default_20 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_k_caches, index_put_20);  layers_10_attention_kv_cache_past_k_caches = index_put_20 = copy__default_20 = None
2025-03-21T20:26:23.1988340Z             aten_copy_default_20: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_10_attention_kv_cache_past_k_caches, aten_index_put_default_20);  b_layers_10_attention_kv_cache_past_k_caches = aten_index_put_default_20 = None
2025-03-21T20:26:23.1988442Z             
2025-03-21T20:26:23.1989217Z              # File: <eval_with_key>.25:2132 in forward, code: copy__default_21 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_v_caches, index_put_21);  layers_10_attention_kv_cache_past_v_caches = index_put_21 = copy__default_21 = None
2025-03-21T20:26:23.1990029Z             aten_copy_default_21: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_10_attention_kv_cache_past_v_caches, aten_index_put_default_21);  b_layers_10_attention_kv_cache_past_v_caches = aten_index_put_default_21 = None
2025-03-21T20:26:23.1990122Z             
2025-03-21T20:26:23.1990933Z              # File: <eval_with_key>.25:2133 in forward, code: copy__default_22 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_k_caches, index_put_22);  layers_11_attention_kv_cache_past_k_caches = index_put_22 = copy__default_22 = None
2025-03-21T20:26:23.1991734Z             aten_copy_default_22: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_11_attention_kv_cache_past_k_caches, aten_index_put_default_22);  b_layers_11_attention_kv_cache_past_k_caches = aten_index_put_default_22 = None
2025-03-21T20:26:23.1991837Z             
2025-03-21T20:26:23.1992613Z              # File: <eval_with_key>.25:2134 in forward, code: copy__default_23 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_v_caches, index_put_23);  layers_11_attention_kv_cache_past_v_caches = index_put_23 = copy__default_23 = None
2025-03-21T20:26:23.1993426Z             aten_copy_default_23: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_11_attention_kv_cache_past_v_caches, aten_index_put_default_23);  b_layers_11_attention_kv_cache_past_v_caches = aten_index_put_default_23 = None
2025-03-21T20:26:23.1995231Z             return (aten_copy_default, aten_copy_default_1, aten_copy_default_2, aten_copy_default_3, aten_copy_default_4, aten_copy_default_5, aten_copy_default_6, aten_copy_default_7, aten_copy_default_8, aten_copy_default_9, aten_copy_default_10, aten_copy_default_11, aten_copy_default_12, aten_copy_default_13, aten_copy_default_14, aten_copy_default_15, aten_copy_default_16, aten_copy_default_17, aten_copy_default_18, aten_copy_default_19, aten_copy_default_20, aten_copy_default_21, aten_copy_default_22, aten_copy_default_23, aten_view_copy_default_217)
2025-03-21T20:26:23.1995365Z             
2025-03-21T20:26:23.2109108Z Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_tok_embeddings_weight'), target='tok_embeddings.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_attention_norm_weight'), target='layers.0.attention_norm.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_attention_wq_conv_weight'), target='layers.0.attention.wq.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_attention_wk_conv_weight'), target='layers.0.attention.wk.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_attention_wv_conv_weight'), target='layers.0.attention.wv.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_attention_wo_conv_weight'), target='layers.0.attention.wo.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_ffn_norm_weight'), target='layers.0.ffn_norm.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_feed_forward_w1_conv_weight'), target='layers.0.feed_forward.w1.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_feed_forward_w3_conv_weight'), target='layers.0.feed_forward.w3.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_0_feed_forward_w2_conv_weight'), target='layers.0.feed_forward.w2.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_attention_norm_weight'), target='layers.1.attention_norm.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_attention_wq_conv_weight'), target='layers.1.attention.wq.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_attention_wk_conv_weight'), target='layers.1.attention.wk.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_attention_wv_conv_weight'), target='layers.1.attention.wv.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_attention_wo_conv_weight'), target='layers.1.attention.wo.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_ffn_norm_weight'), target='layers.1.ffn_norm.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_feed_forward_w1_conv_weight'), target='layers.1.feed_forward.w1.conv.weight', persistent=None), InputSpec(kind=<InputKind.PARAMETER: 2>, arg=TensorArgument(name='p_layers_1_feed_forward_w3_conv_weight'), 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OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_4'), target='layers.2.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_5'), target='layers.2.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_6'), target='layers.3.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_7'), target='layers.3.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_8'), target='layers.4.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_9'), target='layers.4.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_10'), target='layers.5.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_11'), target='layers.5.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_12'), target='layers.6.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_13'), target='layers.6.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_14'), target='layers.7.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_15'), target='layers.7.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_16'), target='layers.8.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_17'), target='layers.8.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_18'), target='layers.9.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_19'), target='layers.9.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_20'), target='layers.10.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_21'), target='layers.10.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_22'), target='layers.11.attention.kv_cache.past_k_caches'), OutputSpec(kind=<OutputKind.BUFFER_MUTATION: 3>, arg=TensorArgument(name='aten_copy_default_23'), target='layers.11.attention.kv_cache.past_v_caches'), OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_view_copy_default_217'), target=None)])
2025-03-21T20:26:28.1535306Z Range constraints: {}
2025-03-21T20:26:28.1535810Z 
2025-03-21T20:26:28.1536299Z [INFO 2025-03-21 20:26:27,550 export_llama_lib.py:813] Lowering model using following partitioner(s): 
2025-03-21T20:26:28.1536949Z [INFO 2025-03-21 20:26:27,550 export_llama_lib.py:815] --> QnnPartitioner
2025-03-21T20:26:28.1537675Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:26:28.1538164Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Initializing HtpProvider
2025-03-21T20:26:28.1538470Z 
2025-03-21T20:26:28.1538789Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:26:28.1539377Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE.
2025-03-21T20:26:28.1539877Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:26:28.1540354Z 
2025-03-21T20:26:28.1540899Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:26:28.1541548Z 
2025-03-21T20:26:28.1541716Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:26:28.1542179Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1542681Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1543191Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.1543684Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1544183Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1544664Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.1545132Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1545585Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.1546042Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.1546524Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1547028Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.1547701Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1548221Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.1548707Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.1549261Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.1549837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1550346Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.1550847Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1551467Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.1551954Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.1552393Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.1552876Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.1553381Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1553884Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.1554385Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1554887Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.1555384Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.1563295Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.1564031Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.1564544Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1565062Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.1565575Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1566078Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.1566594Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1567092Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1567581Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.1568120Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.1568565Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.1568999Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.1569450Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.1569941Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1570423Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.1570889Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1571405Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.1571994Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1572475Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1572960Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1573447Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1573903Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1574387Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1574878Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1575341Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1576034Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1576523Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1576974Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1577459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1577947Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1578563Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1579049Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1579520Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1579985Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1580528Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1581243Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1581714Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1582201Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1582673Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1583140Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1583624Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1584112Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1584587Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1585060Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1585552Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1586018Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1586504Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1587069Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1587526Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1588013Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1588499Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1588965Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1589516Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1590146Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1590599Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.1591055Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1591587Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1592073Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1592564Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1593019Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1593505Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1593989Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1594455Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1594942Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1595434Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1595888Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1596372Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1596859Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1597324Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1597813Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1598343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1598938Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1599427Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1599912Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1600378Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1600863Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1601422Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1601887Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1602371Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1602858Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1603323Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1603797Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1604282Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1604747Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1605230Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1605718Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1606169Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1606653Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1607244Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1607790Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.1608278Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1608779Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.1609250Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.1609792Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.1610291Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.1610764Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.1611255Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2765789Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2766709Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2767213Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.2767756Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2768272Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2768882Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.2769317Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2769750Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2770178Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.2770593Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2771019Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2771446Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.2771875Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2772305Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2772841Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.2773364Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2773797Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2774254Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2774741Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2775208Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2775863Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2776351Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.2776833Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.2777313Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2777793Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2778258Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2778878Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.2779363Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.2779844Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2780441Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2780998Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2781558Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2782040Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2782536Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2783049Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2783561Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2784064Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2784575Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2785077Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2785585Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2786092Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2786593Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2787187Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2787689Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2788199Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2788709Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2789226Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2789838Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.2790382Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.2790846Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2791344Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2791926Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2792426Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2792946Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2793435Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2793903Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2794399Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2794906Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2795403Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2795916Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2796402Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2796860Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.2797335Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2797873Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2798419Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2798929Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2799445Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2800040Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.2800576Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.2801040Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.2801539Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2802133Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.2802664Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2803185Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.2803698Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2804195Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2804682Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.2805160Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.2805603Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.2806037Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.2806480Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.2806961Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2807550Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.2808081Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2808549Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.2809005Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2809471Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2809953Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2810465Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2810930Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2811410Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2811893Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2812357Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2812840Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2813418Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2813887Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2814375Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2814863Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2815361Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2815830Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2816317Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2816884Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2817448Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2817930Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2818393Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2818863Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2819354Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2819814Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2820296Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2820784Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2821301Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2821795Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2822284Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2822754Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2823242Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2823730Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2824205Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2824774Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2825422Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2825889Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2826370Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2826854Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.2827313Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.2827767Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2828230Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2828712Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2829183Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2829646Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2830128Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2830613Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2831075Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2831556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2832140Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2832690Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2833173Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.2833702Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.2834169Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4041498Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4042210Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4042940Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4043434Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4043942Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4044407Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4044880Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4045507Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4045972Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4046456Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4046940Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4047402Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4047872Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4048389Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4048951Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4049440Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4049953Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4050418Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4050904Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4051378Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4051845Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4052336Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4052833Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.4053321Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.4053803Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4054298Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4054766Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.4055375Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4055906Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4056410Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4056865Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.4057344Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4057994Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4058471Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.4058904Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4059323Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4059751Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.4060175Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4060598Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4061024Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.4061519Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4061945Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4062374Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.4062799Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4063228Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4063737Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4064225Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4064712Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4065245Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4065814Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.4066295Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.4066771Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4067251Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4067726Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4068249Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.4068725Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.4069303Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4069786Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4070266Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4070748Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4071234Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4071730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4072276Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4072863Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4073381Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4073888Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4074378Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4074872Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4075376Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4076063Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4076574Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4077068Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4077575Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4078147Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4078718Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4079220Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.4079679Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.4080140Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4080624Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4081127Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4081693Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4082294Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4082778Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4083232Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4083712Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4084219Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4084721Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4085231Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4085713Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4086149Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.4086676Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4087173Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4087678Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4088183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4088687Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4089261Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.4089765Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.4090224Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.4090717Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4091864Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.4092357Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4092874Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.4093380Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4093871Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4094355Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.4094821Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.4095277Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.4095710Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.4096188Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.4096772Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4097253Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.4097712Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.4098183Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.4098649Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4099123Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4099617Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4100095Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4100565Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4101056Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4101681Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4102182Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4102670Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4103146Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4103611Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4104099Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4104586Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4105056Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4105584Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4106159Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4106626Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4107108Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4107599Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4108051Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4108535Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.4109020Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4109482Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.4110007Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5346117Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5347005Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5347490Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5347979Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5348442Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5348927Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5349426Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5349876Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5350359Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5350971Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5351435Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5351925Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5352410Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5352879Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.5353338Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5353802Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5354286Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5354776Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5355327Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5355818Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5356308Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5356775Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5357266Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5357734Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5358195Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5358768Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5359251Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5359712Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5360193Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5360833Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5361286Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5361772Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5362260Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5362725Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5363211Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5363697Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5364219Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5364700Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5365182Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5365642Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5366126Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5366599Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5367060Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5367545Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5368027Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5368493Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5369031Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5369504Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5369973Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.5370456Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5370948Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.5371429Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.5371916Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5372409Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5372870Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.5373385Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5373906Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5374412Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5374863Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.5375346Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5376060Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5376550Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.5376986Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5377408Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5377839Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.5378270Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5378700Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5379132Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.5379551Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5379984Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5380415Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.5380845Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5381337Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5381782Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5382271Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5382757Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5383336Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5383815Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.5384296Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.5384764Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5385241Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5385722Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5386200Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.5386676Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.5387140Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5387615Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5388093Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5388574Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5389049Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5389541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5390037Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5390543Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5391120Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5391630Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5392122Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5392615Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5393232Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5393743Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5394245Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5394738Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5395241Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5395780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5396291Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5396791Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.5397251Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.5397711Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5398190Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5398694Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5399196Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5399705Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5400186Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5400639Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5401202Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5401709Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5402214Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5402729Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5403208Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5403647Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.5404125Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5404623Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5405127Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5405714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5406215Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5406720Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.5407174Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.5407627Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.5408123Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5408671Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.5409182Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5409696Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.5410201Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.5410698Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.5411182Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.5411640Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.5412097Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.5412527Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.5412976Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.6660868Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6661957Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.6662439Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6662905Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.6663360Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6663815Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6664303Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6664795Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6665265Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6665761Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6666286Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6666760Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6667249Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6667745Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6668218Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6668706Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6669185Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6669657Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6670166Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6670696Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6671217Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6671695Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6672190Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6672663Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6673149Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6673636Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6674100Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6674572Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6675055Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6675524Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6676305Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6676843Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6677295Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6677780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6678265Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6678783Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6679325Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6679799Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6680262Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6680745Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6681240Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6681709Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.6682171Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6682626Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6683114Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6683605Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6684073Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6684608Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6685084Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6685550Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6686032Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6686519Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6686985Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6687470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6687949Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6688433Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6688949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6689536Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6690002Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6690476Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6690967Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6691437Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6691925Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6692411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6692873Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6693346Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6693828Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6694294Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6694777Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6695260Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6695714Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6696196Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6696686Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6697147Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6697632Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6698115Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6698567Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.6699129Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6699624Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.6700107Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.6700600Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6701080Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6701632Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.6702118Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6702641Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6703145Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6703600Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.6704082Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6704610Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6705094Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.6705527Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6705957Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6706370Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.6706797Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6707253Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6707678Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.6708104Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6708518Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6708941Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.6709368Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6709802Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.6710263Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6710737Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6711247Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6711734Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6712268Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.6712765Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.6713299Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6713767Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6714251Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6714735Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.6715219Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.6715708Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6716181Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6716666Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6717153Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.6717639Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6718137Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6718643Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.6719135Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6719656Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6720162Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6720651Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6721193Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.6721718Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6722276Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6722794Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6723326Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6723833Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.6724342Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6724844Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.6725347Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.6725806Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.6726266Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.6726766Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.6727267Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.6727776Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8003796Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8004731Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8005208Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8005849Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8006371Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.8006870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8007394Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8007878Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8008332Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.8008822Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8009317Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8009810Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.8010380Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8010897Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8011461Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.8011967Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.8012464Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8012961Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8013469Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.8013976Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8014529Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8015041Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8015536Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8016011Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.8016481Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.8016937Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.8017369Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8017814Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.8018388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8018908Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.8019424Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8019890Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.8020470Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8020942Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8021482Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8021978Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8022447Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8022937Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8023424Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8023889Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8024360Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8024861Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8025329Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8025871Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8026369Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8026884Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8027373Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8027865Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8028337Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8028866Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8029343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8029816Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8030307Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8030798Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8031270Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8031759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8032239Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8032743Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8033268Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8033815Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8034290Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8034767Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8035257Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8035725Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8036207Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8036691Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8037156Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8037632Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8038124Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8038589Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.8039047Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8039528Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8040027Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8040575Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8041040Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8041530Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8042020Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8042477Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8043000Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8043516Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8043982Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8044470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8044957Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8045406Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8045891Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8046376Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8046842Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8047328Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8047840Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8048313Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8048857Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8049342Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8049807Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8050293Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8050766Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8051262Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8051745Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8052229Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8052692Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8053164Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8053648Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8054120Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8054608Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8055092Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8055586Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.8056060Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8056556Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.8057042Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.8057540Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.8058076Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8058527Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.8059068Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8059597Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8060107Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8060574Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.8061047Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8061651Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.8062135Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.8062570Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8063000Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8063432Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.8063849Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8064277Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8064705Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.8065134Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8065631Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8066048Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:28.8066475Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8066905Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.8067360Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8067846Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8068324Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8068813Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8069297Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.8069779Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.8070265Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.8070748Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.8071224Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9436013Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.9436996Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:28.9437579Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9438105Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9438736Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9439206Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9439689Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9440186Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9440698Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9441205Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9441717Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9442222Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9442713Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9443272Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9443776Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9444292Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9444784Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9445277Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9445781Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9446350Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9447080Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9447591Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.9448098Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.9448560Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9449089Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9449599Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9450108Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9450628Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9451099Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.9451560Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9452055Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9452561Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9453071Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9453717Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9454206Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.9454767Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:28.9455321Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9455869Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9456386Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9456882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9457398Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9457900Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:28.9458353Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.9458810Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:28.9459307Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9459803Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:28.9460309Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9460828Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:28.9461426Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9462192Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9462674Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.9463209Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:28.9463665Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:28.9464094Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:28.9464543Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:28.9465028Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9465495Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:28.9465957Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9466422Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.9466908Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9467371Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9467845Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9468330Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9468796Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9469285Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9469775Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9470228Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9470716Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9471206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9471741Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9472395Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9472922Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9473385Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9473873Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9474357Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9474823Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9475306Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9475939Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9476411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9477028Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9477517Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9477985Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9478477Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9478957Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9479428Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9479975Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9480643Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9481113Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9481646Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9482130Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9482598Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9483088Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9483569Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9484029Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9484501Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9484996Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:28.9485524Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:28.9485983Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9486447Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9486917Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9487402Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9487878Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9488491Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9489027Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9489521Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9490080Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9490563Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9491027Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9491515Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9492001Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9492450Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9492938Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9493422Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9493886Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9494374Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9494847Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9495314Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9495802Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9496289Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9496754Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9497234Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9497710Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9498269Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9498896Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9499437Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9499958Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9500461Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9500950Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9501490Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9501977Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9502469Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9502939Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:28.9503412Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:28.9503910Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.9504395Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:28.9504888Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0824445Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0825381Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.0825881Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0826419Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0826920Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0827392Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.0828025Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0828553Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0829030Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.0829468Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0829899Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0830326Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.0830752Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0831174Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0831597Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.0832161Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0832741Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0833170Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.0833601Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0834016Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0834471Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0834955Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0835436Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0835916Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0836382Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.0836877Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.0837359Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0837845Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0838331Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0838817Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.0839300Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.0839771Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0840356Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0840936Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0841423Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0841909Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0842507Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0843028Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0843541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0844064Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0844576Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0845075Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0845571Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0846081Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0846592Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0847099Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0847593Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0848091Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0848597Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0849109Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0849608Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.0850058Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.0850654Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0851237Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0851750Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0852260Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0852781Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0853265Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0853712Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0854215Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0854722Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0855228Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0855776Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0856258Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0856698Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.0857179Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0857672Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0858181Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0858709Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0859339Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0859905Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.0860362Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.0860818Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.0861388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0861886Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.0862399Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0862915Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.0863421Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0863918Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0864402Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.0864857Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.0865309Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.0865819Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.0866266Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.0866752Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0867299Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.0867843Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0868356Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.0868807Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0869273Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0869760Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0870233Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0870695Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0871181Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0871665Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0872129Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0872603Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0873086Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0873548Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0874071Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0874555Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0875020Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0875496Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0876156Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0876623Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0877120Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0877657Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0878215Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0878820Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0879305Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0879774Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0880261Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0880737Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0881201Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0881685Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0882167Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0882634Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0883124Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0883599Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0884070Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0884556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0885045Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0885515Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0886017Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0886633Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.0887161Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.0887619Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0888090Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0888718Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0889196Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0889668Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0890157Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0890646Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0891115Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0891591Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.0892075Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.0892539Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2249668Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2250520Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2251224Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2251724Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2252210Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2252676Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2253167Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2253651Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2254233Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2254754Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2255230Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2255696Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2256183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2256665Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2257122Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2257620Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2258263Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2258848Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2259336Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2259821Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2260287Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2260758Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2261311Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2261781Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2262268Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2262759Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.2263234Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.2263720Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2264211Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2264671Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.2265150Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2265678Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2266166Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2266625Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.2267108Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2267630Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2268106Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.2268711Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2269493Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2269935Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.2270367Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2270792Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2271214Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.2271628Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2272050Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2272473Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.2272896Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2273320Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2273760Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2274239Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2274720Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2275198Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2275846Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.2276324Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.2276804Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2277523Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2278019Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2278552Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.2279033Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.2279503Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2279984Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2280467Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2280942Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2281421Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2281948Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2282456Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2282967Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2283493Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2284005Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2284502Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2285001Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2285510Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2286154Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2286723Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2287221Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2287721Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2288234Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2288757Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2289263Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.2289722Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.2290171Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2290667Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2291178Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2291688Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2292295Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2292779Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2293226Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2293722Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2294227Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2294733Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2295250Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2295717Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2296284Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.2296804Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2297343Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2297855Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2298361Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2298863Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2299368Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.2299822Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.2300323Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.2300820Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2301391Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.2301900Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2302415Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.2302920Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2303419Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2303909Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.2304366Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.2304852Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.2305389Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.2305905Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.2306396Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2306866Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.2307337Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.2307804Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.2308257Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2308722Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2309196Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2309682Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2310145Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2310631Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2311117Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2311580Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2312053Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2312536Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2312998Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2313479Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2314080Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2314534Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2315122Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2315615Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2316081Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2316568Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.2317057Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2317511Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.2317995Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3750161Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3750934Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3751499Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3752455Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3752934Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3753430Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3753920Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3754391Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3754880Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3755369Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3755970Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3756471Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3756964Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3757439Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3757933Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3758421Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3758902Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.3759361Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3759828Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3760360Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3760836Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3761306Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3761795Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3762285Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3762753Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3763285Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3763905Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3764429Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3764919Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3765407Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3765879Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3766355Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3766839Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3767311Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3767793Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3768282Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3768745Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3769219Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3769703Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3770275Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3770762Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3771247Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3771702Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3772190Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3772680Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3773148Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3773636Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3774159Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3774755Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3775254Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3775911Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3776392Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.3776882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3777368Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.3777855Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.3778350Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3778909Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3779383Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.3779867Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3780400Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3780912Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3781451Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.3781946Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3782480Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3782954Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.3783434Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3783862Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3784289Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.3784725Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3785144Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3785616Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.3786225Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3786659Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3787089Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.3787522Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3787957Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3788403Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3788894Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3789378Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3789858Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3790340Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.3790810Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.3791294Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3791775Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3792254Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3792737Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.3793318Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.3793786Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3794267Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3794753Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3795237Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3795725Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3796214Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3796726Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3797238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3797756Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3798260Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3798759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3799267Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3799777Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3800465Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3801021Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3801561Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3802059Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3802569Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3803089Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3803597Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.3804060Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.3804509Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3805016Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3805528Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3806084Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3806608Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3807093Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3807571Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3808219Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3808727Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3809238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3809752Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3810223Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.3810679Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.3811155Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3811649Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3812158Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3812664Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3813171Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3813674Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.3814126Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.3814583Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.3815083Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3815584Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.3816138Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3816686Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.3817196Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.3817697Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.3818182Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.3818640Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.5231807Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.5232631Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5233214Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.5233711Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5234195Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.5234664Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5235144Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.5235589Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5236059Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5236552Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5237040Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5237709Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5238204Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5238680Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5239147Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5239638Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5240125Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5240594Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5241139Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5241741Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5242212Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5242825Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5243319Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5243795Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5244273Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5244760Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5245227Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5245716Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5246200Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5246656Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5247143Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5247630Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5248097Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5248585Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5249071Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5249525Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5250037Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5250732Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5251237Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5251742Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5252218Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5252819Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5253309Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5253804Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5254275Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.5254716Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5255184Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5255673Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5256158Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5256627Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5257117Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5257590Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5258064Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5258560Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5259050Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5259529Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5260004Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5260493Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5261047Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5261719Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5262216Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5262747Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5263224Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5263719Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5264189Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5264679Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5265174Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5265672Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5266157Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5266647Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5267117Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5267607Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5268098Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5268552Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5269035Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5269523Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5269992Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5270630Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5271106Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5271627Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.5272112Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5272612Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.5273093Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.5273577Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5274081Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5274546Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.5275035Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5275847Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5276364Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5276821Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.5277308Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5277833Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5278320Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.5278756Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5279171Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5279603Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.5280035Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5280467Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5280897Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.5281389Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5281952Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5282389Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.5282879Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5283311Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.5283767Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5284312Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5284800Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5285287Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5285772Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.5286259Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.5286729Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5287218Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5287704Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5288183Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.5288705Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.5289187Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5289655Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5290136Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5290616Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.5291094Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5291587Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5292083Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.5292590Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5293106Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5293609Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5294105Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5294611Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.5295109Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5295625Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5296134Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5296635Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5297147Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.5297644Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.5298202Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.5298733Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.5299192Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.5299652Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.5300133Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6723538Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.6724543Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6725080Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6725575Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6726045Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.6726536Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6727099Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.6727623Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6728139Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6728633Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6729100Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.6729589Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.6730237Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6730755Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.6731261Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6731798Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6732428Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.6732890Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.6733360Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.6733848Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6734363Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.6734938Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6735455Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6735970Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6736469Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6736947Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.6737421Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.6737879Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.6738310Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6738758Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.6739236Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6739717Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.6740188Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6740664Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.6741227Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6741771Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6742267Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6742759Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6743228Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6743717Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6744206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6744731Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6745262Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6745754Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6746227Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6746714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6747194Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6747669Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6748163Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6748655Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6749124Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6749612Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6750092Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6750668Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6751157Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6751643Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6752114Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6752589Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6753114Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6753578Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6754062Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6754546Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6755014Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6755493Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6755985Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6756462Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6756948Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6757435Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6757945Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6758538Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6759037Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6759503Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.6759960Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6760419Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6760909Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6761396Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6761870Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6762362Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6762848Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6763307Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6763799Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6764291Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6764761Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6765251Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6765726Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6766195Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6766776Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6767266Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6767811Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6768302Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6768781Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6769252Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6769741Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6770242Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6770714Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6771193Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6771684Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6772156Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6772647Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6773139Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6773615Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6774095Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6774690Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6775169Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6775822Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6786670Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6787193Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.6787699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6788207Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.6788695Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.6789190Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.6789685Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6790151Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.6790641Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6791225Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6791837Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6792343Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.6792830Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6793362Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.6793846Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.6794282Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6794716Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6795138Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.6795573Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6796005Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6796438Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.6796875Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6797292Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6797726Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.6798157Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6798585Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.6799042Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6799514Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.6799998Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.6800485Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.6801082Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.6801572Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.6802056Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8260816Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8261525Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8262036Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.8262517Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.8263010Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8263498Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8263984Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8264469Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8264970Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8265459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8265976Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8266497Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8267018Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8267665Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8268157Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8268677Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8269194Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8269714Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8270228Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8270732Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8271233Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8271744Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8272313Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8272863Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.8273382Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.8273886Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8274388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8274902Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8275412Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8276104Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8276597Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.8277056Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8277559Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8278075Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8278589Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8279112Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8279591Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.8280050Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.8280535Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8281034Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8281617Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8282132Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8282825Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8283333Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.8283789Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.8284250Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.8284749Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8285249Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.8285759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8286276Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.8286787Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8287284Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8287774Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.8288240Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.8288700Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.8289135Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.8289587Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.8290079Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8290552Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.8291059Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8291529Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.8291990Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8292458Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8293025Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8293520Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8294049Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8294541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8295031Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8295546Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8296027Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8296518Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8296990Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8297481Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8297976Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8298431Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8298919Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8299410Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8299886Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8300378Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8300870Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8301397Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8301933Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8302459Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8302952Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8303466Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8303941Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8304409Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8304903Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8305437Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8305937Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8306413Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8306900Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8307367Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8307852Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8308343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8308818Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8309291Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8309796Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.8310267Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.8310721Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8311222Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8311757Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8312295Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8312752Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8313235Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8313757Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8314226Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8314711Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8315183Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8315650Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8316138Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8316626Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8317096Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8317584Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8318057Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8318581Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8319069Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8319616Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8320118Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8320653Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8321144Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8321599Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8322094Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8322590Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8323062Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8323549Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8324027Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8324498Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8324990Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8325483Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8325952Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8326440Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8326918Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8327381Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.8327870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.8328428Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.9804819Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:29.9805713Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9806331Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9806800Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.9807296Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9807826Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9808336Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9808871Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.9809359Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9809887Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9810385Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.9810822Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9811256Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9811678Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.9812110Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9812566Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9813126Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.9813744Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9814240Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9814661Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:29.9815094Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9815525Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9815988Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9816479Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9816964Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9817511Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9817998Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.9818486Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.9818975Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9819460Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9819928Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9820408Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.9820887Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:29.9821439Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9821927Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9822416Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9822886Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9823375Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9823869Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9824382Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9824981Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9825615Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9826127Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9826622Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9827132Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9827721Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9828280Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9828776Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9829270Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9829775Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9830280Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9830797Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9831289Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.9831747Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.9832206Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9832702Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9833213Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9833726Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9834282Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9834934Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9835399Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9835895Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9836448Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9836942Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9837461Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9837946Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9838403Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:29.9838890Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9839381Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9839892Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9840403Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9840957Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9841463Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:29.9841927Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.9842375Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:29.9842876Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9843391Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:29.9844001Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9844627Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:29.9845131Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9845634Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9846127Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.9846606Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:29.9847064Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:29.9847496Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:29.9847936Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:29.9848421Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9848901Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:29.9849370Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9849836Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.9850280Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9850793Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9851303Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9851790Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9852254Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9852727Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9853212Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9853679Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9854166Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9854655Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9855204Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9855812Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9856298Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9856765Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9857250Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9857739Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9858194Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9858680Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9859231Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9859697Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9860187Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9860674Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9861128Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9861691Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9862185Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9862658Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9863154Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9863659Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9864125Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9864664Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9865313Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9865782Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9866269Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9866740Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9867205Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9867687Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9868183Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:29.9868648Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:29.9869090Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9869556Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9870040Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9870526Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9870994Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9871469Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:29.9871953Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9872416Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:29.9872900Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5752002Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5753419Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5753958Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5754472Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5754928Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5755415Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5755907Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5756374Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5756860Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5757331Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5757796Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5758279Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5758770Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5759236Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5759726Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5760216Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5760684Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5761243Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5761720Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5762190Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5762682Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5763172Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5763644Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5764135Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5764618Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5765092Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:30.5765581Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5766153Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:30.5766643Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:30.5767129Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5767683Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5768143Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:30.5768638Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5769172Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5769680Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5770161Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:30.5770636Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5771158Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5771641Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:30.5772073Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5772506Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5772935Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:30.5773353Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5773783Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5774211Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:30.5774642Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5775072Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5775546Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:30.5776273Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5776707Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:30.5777169Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5777653Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5778126Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5778613Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5779088Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:30.5779571Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:30.5780049Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5780526Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5780993Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5781556Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:30.5782043Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:30.5782527Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5783019Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5783488Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5784020Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:30.5784504Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5785003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5785514Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:30.5786013Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5786529Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5787040Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5787534Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5788039Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:30.5788588Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5789091Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5789599Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:30.5790093Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5790599Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:30.5791104Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:30.5791606Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:30.5792102Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:30.5792565Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:30.5793009Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:30.5793481Z [QNN Partitioner Op Support]: aten.embedding.default | True
2025-03-21T20:26:30.5793961Z [QNN Partitioner Op Support]: aten._to_copy.default | True
2025-03-21T20:26:30.5794425Z [QNN Partitioner Op Support]: aten._to_copy.default | True
2025-03-21T20:26:30.5795026Z [INFO 2025-03-21 20:26:30,112 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5795754Z [INFO 2025-03-21 20:26:30,112 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5796471Z [INFO 2025-03-21 20:26:30,112 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5797187Z [INFO 2025-03-21 20:26:30,112 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5797903Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5798687Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5799406Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5800128Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5800849Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5801570Z [INFO 2025-03-21 20:26:30,113 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5802283Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5802995Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5803702Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5804421Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5805142Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5805883Z [INFO 2025-03-21 20:26:30,114 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5806597Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5807313Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5808033Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5808740Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5809459Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5810178Z [INFO 2025-03-21 20:26:30,115 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5810947Z [INFO 2025-03-21 20:26:30,116 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5811672Z [INFO 2025-03-21 20:26:30,116 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:30.5812258Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:26:30.5812658Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:26:30.5813038Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:26:30.5813411Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:26:30.5813828Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:26:30.5814423Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:26:30.5815003Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE.
2025-03-21T20:26:31.3817627Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:26:31.3818285Z 
2025-03-21T20:26:31.3819072Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:26:31.3820038Z 
2025-03-21T20:26:31.3820310Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:26:31.3821330Z [INFO 2025-03-21 20:26:31,270 qnn_preprocess.py:69] Visiting: aten__to_copy_default, aten._to_copy.default
2025-03-21T20:26:31.3822623Z [INFO 2025-03-21 20:26:31,270 qnn_preprocess.py:69] Visiting: aten__to_copy_default_1, aten._to_copy.default
2025-03-21T20:26:31.3823878Z [INFO 2025-03-21 20:26:31,271 qnn_preprocess.py:69] Visiting: aten_embedding_default, aten.embedding.default
2025-03-21T20:26:31.3825436Z [INFO 2025-03-21 20:26:31,339 qnn_preprocess.py:69] Visiting: aten_index_tensor, aten.index.Tensor
2025-03-21T20:26:31.3826603Z [INFO 2025-03-21 20:26:31,340 qnn_preprocess.py:69] Visiting: aten_index_tensor_1, aten.index.Tensor
2025-03-21T20:26:31.3827775Z [INFO 2025-03-21 20:26:31,341 qnn_preprocess.py:69] Visiting: aten_index_tensor_2, aten.index.Tensor
2025-03-21T20:26:31.3828940Z [INFO 2025-03-21 20:26:31,342 qnn_preprocess.py:69] Visiting: aten_index_tensor_3, aten.index.Tensor
2025-03-21T20:26:31.3830107Z [INFO 2025-03-21 20:26:31,343 qnn_preprocess.py:69] Visiting: aten_index_tensor_4, aten.index.Tensor
2025-03-21T20:26:31.3831270Z [INFO 2025-03-21 20:26:31,344 qnn_preprocess.py:69] Visiting: aten_index_tensor_5, aten.index.Tensor
2025-03-21T20:26:31.3832419Z [INFO 2025-03-21 20:26:31,345 qnn_preprocess.py:69] Visiting: aten_index_tensor_6, aten.index.Tensor
2025-03-21T20:26:31.3833580Z [INFO 2025-03-21 20:26:31,345 qnn_preprocess.py:69] Visiting: aten_index_tensor_7, aten.index.Tensor
2025-03-21T20:26:31.3834750Z [INFO 2025-03-21 20:26:31,346 qnn_preprocess.py:69] Visiting: aten_index_tensor_8, aten.index.Tensor
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2025-03-21T20:26:32.6685978Z [INFO 2025-03-21 20:26:32,647 qnn_preprocess.py:69] Visiting: aten_select_copy_int_533, aten.select_copy.int
2025-03-21T20:26:32.6687355Z [INFO 2025-03-21 20:26:32,647 qnn_preprocess.py:69] Visiting: aten_select_copy_int_535, aten.select_copy.int
2025-03-21T20:26:32.6688619Z [INFO 2025-03-21 20:26:32,648 qnn_preprocess.py:69] Visiting: aten_select_copy_int_537, aten.select_copy.int
2025-03-21T20:26:32.6689977Z [INFO 2025-03-21 20:26:32,648 qnn_preprocess.py:69] Visiting: aten_select_copy_int_539, aten.select_copy.int
2025-03-21T20:26:32.6691228Z [INFO 2025-03-21 20:26:32,649 qnn_preprocess.py:69] Visiting: aten_select_copy_int_541, aten.select_copy.int
2025-03-21T20:26:32.6692467Z [INFO 2025-03-21 20:26:32,649 qnn_preprocess.py:69] Visiting: aten_select_copy_int_543, aten.select_copy.int
2025-03-21T20:26:32.6693714Z [INFO 2025-03-21 20:26:32,649 qnn_preprocess.py:69] Visiting: aten_select_copy_int_545, aten.select_copy.int
2025-03-21T20:26:32.6694970Z [INFO 2025-03-21 20:26:32,650 qnn_preprocess.py:69] Visiting: aten_select_copy_int_547, aten.select_copy.int
2025-03-21T20:26:32.6696234Z [INFO 2025-03-21 20:26:32,650 qnn_preprocess.py:69] Visiting: aten_select_copy_int_549, aten.select_copy.int
2025-03-21T20:26:32.6697488Z [INFO 2025-03-21 20:26:32,651 qnn_preprocess.py:69] Visiting: aten_select_copy_int_551, aten.select_copy.int
2025-03-21T20:26:32.6698697Z [INFO 2025-03-21 20:26:32,651 qnn_preprocess.py:69] Visiting: aten_cat_default_46, aten.cat.default
2025-03-21T20:26:32.6699915Z [INFO 2025-03-21 20:26:32,652 qnn_preprocess.py:69] Visiting: aten_view_copy_default_207, aten.view_copy.default
2025-03-21T20:26:32.6701335Z [INFO 2025-03-21 20:26:32,653 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_482, aten.permute_copy.default
2025-03-21T20:26:32.6702645Z [INFO 2025-03-21 20:26:32,653 qnn_preprocess.py:69] Visiting: aten_matmul_default_22, aten.matmul.default
2025-03-21T20:26:32.6703838Z [INFO 2025-03-21 20:26:32,654 qnn_preprocess.py:69] Visiting: aten_mul_tensor_175, aten.mul.Tensor
2025-03-21T20:26:32.6704982Z [INFO 2025-03-21 20:26:32,655 qnn_preprocess.py:69] Visiting: aten_add_tensor_57, aten.add.Tensor
2025-03-21T20:26:32.6706308Z [INFO 2025-03-21 20:26:32,655 qnn_preprocess.py:69] Visiting: aten__softmax_default_11, aten._softmax.default
2025-03-21T20:26:32.6707564Z [INFO 2025-03-21 20:26:32,655 qnn_preprocess.py:69] Visiting: aten_matmul_default_23, aten.matmul.default
2025-03-21T20:26:32.6708851Z [INFO 2025-03-21 20:26:32,656 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_483, aten.permute_copy.default
2025-03-21T20:26:32.6710204Z [INFO 2025-03-21 20:26:32,656 qnn_preprocess.py:69] Visiting: aten_view_copy_default_215, aten.view_copy.default
2025-03-21T20:26:32.6711593Z [INFO 2025-03-21 20:26:32,657 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_128, aten.unsqueeze_copy.default
2025-03-21T20:26:32.6713021Z [INFO 2025-03-21 20:26:32,657 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_824, aten.permute_copy.default
2025-03-21T20:26:32.6714405Z [INFO 2025-03-21 20:26:32,658 qnn_preprocess.py:69] Visiting: aten_convolution_default_80, aten.convolution.default
2025-03-21T20:26:32.6715796Z [INFO 2025-03-21 20:26:32,660 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_825, aten.permute_copy.default
2025-03-21T20:26:32.6717145Z [INFO 2025-03-21 20:26:32,661 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_128, aten.squeeze_copy.dims
2025-03-21T20:26:49.5801211Z [INFO 2025-03-21 20:26:32,661 qnn_preprocess.py:69] Visiting: aten_add_tensor_58, aten.add.Tensor
2025-03-21T20:26:49.5802366Z [INFO 2025-03-21 20:26:32,662 qnn_preprocess.py:69] Visiting: aten_rms_norm_default_23, aten.rms_norm.default
2025-03-21T20:26:49.5804077Z [INFO 2025-03-21 20:26:32,663 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_129, aten.unsqueeze_copy.default
2025-03-21T20:26:49.5805617Z [INFO 2025-03-21 20:26:32,663 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_826, aten.permute_copy.default
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2025-03-21T20:26:49.5808374Z [INFO 2025-03-21 20:26:32,664 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_827, aten.permute_copy.default
2025-03-21T20:26:49.5809850Z [INFO 2025-03-21 20:26:32,665 qnn_preprocess.py:69] Visiting: aten_convolution_default_81, aten.convolution.default
2025-03-21T20:26:49.5811350Z [INFO 2025-03-21 20:26:32,673 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_828, aten.permute_copy.default
2025-03-21T20:26:49.5812613Z [INFO 2025-03-21 20:26:32,674 qnn_preprocess.py:69] Visiting: aten_convolution_default_82, aten.convolution.default
2025-03-21T20:26:49.5813872Z [INFO 2025-03-21 20:26:32,679 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_829, aten.permute_copy.default
2025-03-21T20:26:49.5815105Z [INFO 2025-03-21 20:26:32,680 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_129, aten.squeeze_copy.dims
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2025-03-21T20:26:49.5818524Z [INFO 2025-03-21 20:26:32,681 qnn_preprocess.py:69] Visiting: aten_mul_tensor_178, aten.mul.Tensor
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2025-03-21T20:26:49.5825233Z [INFO 2025-03-21 20:26:32,691 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_831, aten.permute_copy.default
2025-03-21T20:26:49.5826424Z [INFO 2025-03-21 20:26:32,692 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_131, aten.squeeze_copy.dims
2025-03-21T20:26:49.5827780Z [INFO 2025-03-21 20:26:32,692 qnn_preprocess.py:69] Visiting: aten_add_tensor_59, aten.add.Tensor
2025-03-21T20:26:49.5828832Z [INFO 2025-03-21 20:26:32,693 qnn_preprocess.py:69] Visiting: aten_select_copy_int_576, aten.select_copy.int
2025-03-21T20:26:49.5829994Z [INFO 2025-03-21 20:26:32,693 qnn_preprocess.py:69] Visiting: aten_rms_norm_default_24, aten.rms_norm.default
2025-03-21T20:26:49.5831209Z [INFO 2025-03-21 20:26:32,694 qnn_preprocess.py:69] Visiting: aten_view_copy_default_216, aten.view_copy.default
2025-03-21T20:26:49.5832521Z [INFO 2025-03-21 20:26:32,694 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_832, aten.permute_copy.default
2025-03-21T20:26:49.5833787Z [INFO 2025-03-21 20:26:32,695 qnn_preprocess.py:69] Visiting: aten_convolution_default_84, aten.convolution.default
2025-03-21T20:26:49.5835066Z [INFO 2025-03-21 20:26:32,828 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_833, aten.permute_copy.default
2025-03-21T20:26:49.5836304Z [INFO 2025-03-21 20:26:32,830 qnn_preprocess.py:69] Visiting: aten_view_copy_default_217, aten.view_copy.default
2025-03-21T20:26:49.5837216Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:26:49.5837802Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:26:49.5838352Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:26:49.5838869Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:26:49.5839545Z [INFO 2025-03-21 20:26:49,579 builder.py:443] graph():
2025-03-21T20:26:49.5840576Z   %b_layers_0_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5842119Z   %b_layers_0_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5843566Z   %b_layers_1_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5845025Z   %b_layers_1_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5846575Z   %b_layers_2_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5848084Z   %b_layers_2_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5849485Z   %b_layers_3_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5850532Z   %b_layers_3_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5851738Z   %b_layers_4_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5852695Z   %b_layers_4_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5853684Z   %b_layers_5_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5854728Z   %b_layers_5_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5855709Z   %b_layers_6_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5856684Z   %b_layers_6_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5857681Z   %b_layers_7_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5858686Z   %b_layers_7_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5859687Z   %b_layers_8_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5860661Z   %b_layers_8_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5861647Z   %b_layers_9_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5862563Z   %b_layers_9_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5863484Z   %b_layers_10_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5864468Z   %b_layers_10_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5865390Z   %b_layers_11_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5866304Z   %b_layers_11_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5866964Z   %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:26:49.5867479Z   %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos]
2025-03-21T20:26:49.5868100Z   %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0]
2025-03-21T20:26:49.5868546Z     backend_id: QnnBackend
2025-03-21T20:26:49.5868829Z     lowered graph():
2025-03-21T20:26:49.5869248Z       %p_tok_embeddings_weight : [num_users=1] = placeholder[target=p_tok_embeddings_weight]
2025-03-21T20:26:49.5869971Z       %p_layers_0_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_0_attention_norm_weight]
2025-03-21T20:26:49.5870769Z       %p_layers_0_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wq_conv_weight]
2025-03-21T20:26:49.5871673Z       %p_layers_0_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wk_conv_weight]
2025-03-21T20:26:49.5872478Z       %p_layers_0_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wv_conv_weight]
2025-03-21T20:26:49.5873323Z       %p_layers_0_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wo_conv_weight]
2025-03-21T20:26:49.5874062Z       %p_layers_0_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_0_ffn_norm_weight]
2025-03-21T20:26:49.5874809Z       %p_layers_0_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5875816Z       %p_layers_0_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5876663Z       %p_layers_0_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5877476Z       %p_layers_1_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_1_attention_norm_weight]
2025-03-21T20:26:49.5878419Z       %p_layers_1_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wq_conv_weight]
2025-03-21T20:26:49.5879260Z       %p_layers_1_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wk_conv_weight]
2025-03-21T20:26:49.5880208Z       %p_layers_1_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wv_conv_weight]
2025-03-21T20:26:49.5880996Z       %p_layers_1_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wo_conv_weight]
2025-03-21T20:26:49.5881836Z       %p_layers_1_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_1_ffn_norm_weight]
2025-03-21T20:26:49.5882598Z       %p_layers_1_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5883723Z       %p_layers_1_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5884654Z       %p_layers_1_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5885484Z       %p_layers_2_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_2_attention_norm_weight]
2025-03-21T20:26:49.5886381Z       %p_layers_2_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wq_conv_weight]
2025-03-21T20:26:49.5887172Z       %p_layers_2_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wk_conv_weight]
2025-03-21T20:26:49.5888109Z       %p_layers_2_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wv_conv_weight]
2025-03-21T20:26:49.5888918Z       %p_layers_2_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wo_conv_weight]
2025-03-21T20:26:49.5889765Z       %p_layers_2_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_2_ffn_norm_weight]
2025-03-21T20:26:49.5890524Z       %p_layers_2_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5891365Z       %p_layers_2_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5892256Z       %p_layers_2_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5893047Z       %p_layers_3_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_3_attention_norm_weight]
2025-03-21T20:26:49.5893831Z       %p_layers_3_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wq_conv_weight]
2025-03-21T20:26:49.5894632Z       %p_layers_3_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wk_conv_weight]
2025-03-21T20:26:49.5895441Z       %p_layers_3_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wv_conv_weight]
2025-03-21T20:26:49.5896240Z       %p_layers_3_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wo_conv_weight]
2025-03-21T20:26:49.5897016Z       %p_layers_3_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_3_ffn_norm_weight]
2025-03-21T20:26:49.5897844Z       %p_layers_3_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5898672Z       %p_layers_3_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5899511Z       %p_layers_3_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5900318Z       %p_layers_4_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_4_attention_norm_weight]
2025-03-21T20:26:49.5901107Z       %p_layers_4_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wq_conv_weight]
2025-03-21T20:26:49.5901985Z       %p_layers_4_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wk_conv_weight]
2025-03-21T20:26:49.5902794Z       %p_layers_4_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wv_conv_weight]
2025-03-21T20:26:49.5903598Z       %p_layers_4_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wo_conv_weight]
2025-03-21T20:26:49.5904325Z       %p_layers_4_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_4_ffn_norm_weight]
2025-03-21T20:26:49.5905080Z       %p_layers_4_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5905915Z       %p_layers_4_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5906910Z       %p_layers_4_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5907719Z       %p_layers_5_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_5_attention_norm_weight]
2025-03-21T20:26:49.5908505Z       %p_layers_5_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wq_conv_weight]
2025-03-21T20:26:49.5909310Z       %p_layers_5_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wk_conv_weight]
2025-03-21T20:26:49.5910097Z       %p_layers_5_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wv_conv_weight]
2025-03-21T20:26:49.5910897Z       %p_layers_5_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wo_conv_weight]
2025-03-21T20:26:49.5911634Z       %p_layers_5_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_5_ffn_norm_weight]
2025-03-21T20:26:49.5912394Z       %p_layers_5_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5913235Z       %p_layers_5_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5914078Z       %p_layers_5_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5914909Z       %p_layers_6_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_6_attention_norm_weight]
2025-03-21T20:26:49.5915686Z       %p_layers_6_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wq_conv_weight]
2025-03-21T20:26:49.5916488Z       %p_layers_6_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wk_conv_weight]
2025-03-21T20:26:49.5917289Z       %p_layers_6_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wv_conv_weight]
2025-03-21T20:26:49.5918091Z       %p_layers_6_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wo_conv_weight]
2025-03-21T20:26:49.5918825Z       %p_layers_6_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_6_ffn_norm_weight]
2025-03-21T20:26:49.5919607Z       %p_layers_6_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5920444Z       %p_layers_6_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5921264Z       %p_layers_6_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5922064Z       %p_layers_7_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_7_attention_norm_weight]
2025-03-21T20:26:49.5922853Z       %p_layers_7_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wq_conv_weight]
2025-03-21T20:26:49.5923658Z       %p_layers_7_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wk_conv_weight]
2025-03-21T20:26:49.5924455Z       %p_layers_7_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wv_conv_weight]
2025-03-21T20:26:49.5925250Z       %p_layers_7_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wo_conv_weight]
2025-03-21T20:26:49.5926060Z       %p_layers_7_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_7_ffn_norm_weight]
2025-03-21T20:26:49.5926804Z       %p_layers_7_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5927643Z       %p_layers_7_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5928478Z       %p_layers_7_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5929339Z       %p_layers_8_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_8_attention_norm_weight]
2025-03-21T20:26:49.5930120Z       %p_layers_8_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wq_conv_weight]
2025-03-21T20:26:49.5930920Z       %p_layers_8_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wk_conv_weight]
2025-03-21T20:26:49.5931727Z       %p_layers_8_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wv_conv_weight]
2025-03-21T20:26:49.5932512Z       %p_layers_8_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wo_conv_weight]
2025-03-21T20:26:49.5933243Z       %p_layers_8_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_8_ffn_norm_weight]
2025-03-21T20:26:49.5933995Z       %p_layers_8_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5934831Z       %p_layers_8_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5935736Z       %p_layers_8_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5936598Z       %p_layers_9_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_9_attention_norm_weight]
2025-03-21T20:26:49.5937536Z       %p_layers_9_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wq_conv_weight]
2025-03-21T20:26:49.5938333Z       %p_layers_9_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wk_conv_weight]
2025-03-21T20:26:49.5939141Z       %p_layers_9_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wv_conv_weight]
2025-03-21T20:26:49.5939946Z       %p_layers_9_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wo_conv_weight]
2025-03-21T20:26:49.5940682Z       %p_layers_9_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_9_ffn_norm_weight]
2025-03-21T20:26:49.5941548Z       %p_layers_9_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5942392Z       %p_layers_9_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5943274Z       %p_layers_9_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5944069Z       %p_layers_10_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_10_attention_norm_weight]
2025-03-21T20:26:49.5944864Z       %p_layers_10_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wq_conv_weight]
2025-03-21T20:26:49.5945677Z       %p_layers_10_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wk_conv_weight]
2025-03-21T20:26:49.5946490Z       %p_layers_10_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wv_conv_weight]
2025-03-21T20:26:49.5947307Z       %p_layers_10_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wo_conv_weight]
2025-03-21T20:26:49.5948206Z       %p_layers_10_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_10_ffn_norm_weight]
2025-03-21T20:26:49.5948991Z       %p_layers_10_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5949905Z       %p_layers_10_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5950752Z       %p_layers_10_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5951567Z       %p_layers_11_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_11_attention_norm_weight]
2025-03-21T20:26:49.5952881Z       %p_layers_11_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wq_conv_weight]
2025-03-21T20:26:49.5953737Z       %p_layers_11_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wk_conv_weight]
2025-03-21T20:26:49.5954553Z       %p_layers_11_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wv_conv_weight]
2025-03-21T20:26:49.5955368Z       %p_layers_11_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wo_conv_weight]
2025-03-21T20:26:49.5956103Z       %p_layers_11_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_11_ffn_norm_weight]
2025-03-21T20:26:49.5956874Z       %p_layers_11_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w1_conv_weight]
2025-03-21T20:26:49.5957730Z       %p_layers_11_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w3_conv_weight]
2025-03-21T20:26:49.5958583Z       %p_layers_11_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w2_conv_weight]
2025-03-21T20:26:49.5959277Z       %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2025-03-21T20:26:49.5959842Z       %p_output_conv_weight : [num_users=1] = placeholder[target=p_output_conv_weight]
2025-03-21T20:26:49.5960482Z       %b_layers_0_attention_mask : [num_users=1] = placeholder[target=b_layers_0_attention_mask]
2025-03-21T20:26:49.5961166Z       %b_layers_1_attention_mask : [num_users=1] = placeholder[target=b_layers_1_attention_mask]
2025-03-21T20:26:49.5961828Z       %b_layers_2_attention_mask : [num_users=1] = placeholder[target=b_layers_2_attention_mask]
2025-03-21T20:26:49.5962483Z       %b_layers_3_attention_mask : [num_users=1] = placeholder[target=b_layers_3_attention_mask]
2025-03-21T20:26:49.5963139Z       %b_layers_4_attention_mask : [num_users=1] = placeholder[target=b_layers_4_attention_mask]
2025-03-21T20:26:49.5963798Z       %b_layers_5_attention_mask : [num_users=1] = placeholder[target=b_layers_5_attention_mask]
2025-03-21T20:26:49.5964460Z       %b_layers_6_attention_mask : [num_users=1] = placeholder[target=b_layers_6_attention_mask]
2025-03-21T20:26:49.5965102Z       %b_layers_7_attention_mask : [num_users=1] = placeholder[target=b_layers_7_attention_mask]
2025-03-21T20:26:49.5965784Z       %b_layers_8_attention_mask : [num_users=1] = placeholder[target=b_layers_8_attention_mask]
2025-03-21T20:26:49.5966438Z       %b_layers_9_attention_mask : [num_users=1] = placeholder[target=b_layers_9_attention_mask]
2025-03-21T20:26:49.5967101Z       %b_layers_10_attention_mask : [num_users=1] = placeholder[target=b_layers_10_attention_mask]
2025-03-21T20:26:49.5967770Z       %b_layers_11_attention_mask : [num_users=1] = placeholder[target=b_layers_11_attention_mask]
2025-03-21T20:26:49.5968513Z       %b_layers_11_attention_rope_freqs_cos : [num_users=1] = placeholder[target=b_layers_11_attention_rope_freqs_cos]
2025-03-21T20:26:49.5969324Z       %b_layers_11_attention_rope_freqs_sin : [num_users=1] = placeholder[target=b_layers_11_attention_rope_freqs_sin]
2025-03-21T20:26:49.5970056Z       %_lifted_tensor_constant38 : [num_users=1] = placeholder[target=_lifted_tensor_constant38]
2025-03-21T20:26:49.5970734Z       %_lifted_tensor_constant39 : [num_users=1] = placeholder[target=_lifted_tensor_constant39]
2025-03-21T20:26:49.5971410Z       %_lifted_tensor_constant40 : [num_users=1] = placeholder[target=_lifted_tensor_constant40]
2025-03-21T20:26:49.5972082Z       %_lifted_tensor_constant41 : [num_users=1] = placeholder[target=_lifted_tensor_constant41]
2025-03-21T20:26:49.5972751Z       %_lifted_tensor_constant42 : [num_users=1] = placeholder[target=_lifted_tensor_constant42]
2025-03-21T20:26:49.5973426Z       %_lifted_tensor_constant43 : [num_users=1] = placeholder[target=_lifted_tensor_constant43]
2025-03-21T20:26:49.5974086Z       %_lifted_tensor_constant44 : [num_users=1] = placeholder[target=_lifted_tensor_constant44]
2025-03-21T20:26:49.5974761Z       %_lifted_tensor_constant45 : [num_users=1] = placeholder[target=_lifted_tensor_constant45]
2025-03-21T20:26:49.5975485Z       %_lifted_tensor_constant46 : [num_users=1] = placeholder[target=_lifted_tensor_constant46]
2025-03-21T20:26:49.5976377Z       %_lifted_tensor_constant47 : [num_users=1] = placeholder[target=_lifted_tensor_constant47]
2025-03-21T20:26:49.5977050Z       %_lifted_tensor_constant48 : [num_users=1] = placeholder[target=_lifted_tensor_constant48]
2025-03-21T20:26:49.5977720Z       %_lifted_tensor_constant49 : [num_users=1] = placeholder[target=_lifted_tensor_constant49]
2025-03-21T20:26:49.5978519Z       %b_layers_0_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5979424Z       %b_layers_0_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5980334Z       %b_layers_1_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5981311Z       %b_layers_1_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5982229Z       %b_layers_2_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5983220Z       %b_layers_2_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5984139Z       %b_layers_3_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5985053Z       %b_layers_3_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5985954Z       %b_layers_4_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5986873Z       %b_layers_4_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5987786Z       %b_layers_5_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5988744Z       %b_layers_5_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5989655Z       %b_layers_6_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5990568Z       %b_layers_6_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5991481Z       %b_layers_7_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5992392Z       %b_layers_7_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5993288Z       %b_layers_8_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5994196Z       %b_layers_8_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5995105Z       %b_layers_9_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5996015Z       %b_layers_9_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5996933Z       %b_layers_10_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5997851Z       %b_layers_10_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.5998840Z       %b_layers_11_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches]
2025-03-21T20:26:49.5999760Z       %b_layers_11_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches]
2025-03-21T20:26:49.6000428Z       %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:26:49.6000956Z       %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos]
2025-03-21T20:26:49.6001899Z       %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%tokens,), kwargs = {dtype: torch.int32})
2025-03-21T20:26:49.6003205Z       %aten__to_copy_default_1 : [num_users=38] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%attn_options_input_pos,), kwargs = {dtype: torch.int32})
2025-03-21T20:26:49.6004626Z       %aten_embedding_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.embedding.default](args = (%p_tok_embeddings_weight, %aten__to_copy_default), kwargs = {})
2025-03-21T20:26:49.6006103Z       %aten_index_tensor : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_11_attention_rope_freqs_cos, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6007607Z       %aten_index_tensor_1 : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_11_attention_rope_freqs_sin, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6009048Z       %aten_index_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_0_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6010445Z       %aten_index_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_1_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6011824Z       %aten_index_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_2_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6013243Z       %aten_index_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_3_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6014641Z       %aten_index_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_4_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6016038Z       %aten_index_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_5_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6017440Z       %aten_index_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_6_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6018840Z       %aten_index_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_7_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6020251Z       %aten_index_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_8_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6021998Z       %aten_index_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_9_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6023899Z       %aten_index_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_10_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6025585Z       %aten_index_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_layers_11_attention_mask, [%aten__to_copy_default_1]), kwargs = {})
2025-03-21T20:26:49.6027139Z       %aten_rms_norm_default : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_embedding_default, [768], %p_layers_0_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6028748Z       %aten_view_copy_default_5 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6030076Z       %aten_view_copy_default_23 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6031411Z       %aten_view_copy_default_41 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6032747Z       %aten_view_copy_default_59 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6034104Z       %aten_view_copy_default_77 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6035430Z       %aten_view_copy_default_95 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6036843Z       %aten_view_copy_default_113 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6038188Z       %aten_view_copy_default_131 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6039563Z       %aten_view_copy_default_149 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6040900Z       %aten_view_copy_default_167 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6042240Z       %aten_view_copy_default_185 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6043576Z       %aten_view_copy_default_203 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6044910Z       %aten_view_copy_default_6 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6046252Z       %aten_view_copy_default_24 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6047590Z       %aten_view_copy_default_42 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6048913Z       %aten_view_copy_default_60 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6050360Z       %aten_view_copy_default_78 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6051694Z       %aten_view_copy_default_96 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6053089Z       %aten_view_copy_default_114 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6054435Z       %aten_view_copy_default_132 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6055777Z       %aten_view_copy_default_150 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6057120Z       %aten_view_copy_default_168 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6058482Z       %aten_view_copy_default_186 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6059818Z       %aten_view_copy_default_204 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:49.6061274Z       %aten_unsqueeze_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {})
2025-03-21T20:26:49.6062667Z       %aten_unsqueeze_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {})
2025-03-21T20:26:49.6064042Z       %aten_unsqueeze_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {})
2025-03-21T20:26:49.6065496Z       %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6066952Z       %aten_permute_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6068414Z       %aten_permute_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6070103Z       %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default, %p_layers_0_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6072016Z       %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_2, %p_layers_0_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6073907Z       %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_4, %p_layers_0_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6075871Z       %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6077364Z       %aten_permute_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6078807Z       %aten_permute_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6080197Z       %aten_squeeze_copy_dims : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_1, [-1]), kwargs = {})
2025-03-21T20:26:49.6081541Z       %aten_squeeze_copy_dims_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_3, [-1]), kwargs = {})
2025-03-21T20:26:49.6082880Z       %aten_squeeze_copy_dims_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_5, [-1]), kwargs = {})
2025-03-21T20:26:49.6084231Z       %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6085635Z       %aten_view_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6087004Z       %aten_view_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_2, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6088380Z       %aten_view_copy_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6089764Z       %aten_view_copy_default_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6091408Z       %aten_index_put_default_1 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_0_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_2), kwargs = {})
2025-03-21T20:26:49.6092980Z       %aten_slice_copy_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_3, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6094314Z       %aten_slice_copy_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_3, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6095653Z       %aten_slice_copy_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_4, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6097005Z       %aten_slice_copy_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_4, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6098388Z       %aten_permute_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6099815Z       %aten_permute_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6101331Z       %aten_permute_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6102779Z       %aten_permute_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6104207Z       %aten_permute_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6105636Z       %aten_permute_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6107059Z       %aten_permute_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6108487Z       %aten_permute_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6109906Z       %aten_permute_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6111355Z       %aten_permute_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6112777Z       %aten_permute_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6114195Z       %aten_permute_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6115561Z       %aten_squeeze_copy_dims_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor, [4]), kwargs = {})
2025-03-21T20:26:49.6116898Z       %aten_squeeze_copy_dims_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_1, [4]), kwargs = {})
2025-03-21T20:26:49.6118215Z       %aten_squeeze_copy_dims_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_2, [4]), kwargs = {})
2025-03-21T20:26:49.6119515Z       %aten_squeeze_copy_dims_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_3, [4]), kwargs = {})
2025-03-21T20:26:49.6120827Z       %aten_select_copy_int_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_19, 0, 0), kwargs = {})
2025-03-21T20:26:49.6122132Z       %aten_select_copy_int_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_20, 0, 0), kwargs = {})
2025-03-21T20:26:49.6123438Z       %aten_select_copy_int_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_21, 0, 0), kwargs = {})
2025-03-21T20:26:49.6124739Z       %aten_select_copy_int_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_22, 0, 0), kwargs = {})
2025-03-21T20:26:49.6126032Z       %aten_select_copy_int_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_23, 0, 0), kwargs = {})
2025-03-21T20:26:49.6127379Z       %aten_select_copy_int_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_24, 0, 0), kwargs = {})
2025-03-21T20:26:49.6128677Z       %aten_select_copy_int_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_25, 0, 0), kwargs = {})
2025-03-21T20:26:49.6129982Z       %aten_select_copy_int_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_26, 0, 0), kwargs = {})
2025-03-21T20:26:49.6131287Z       %aten_select_copy_int_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_27, 0, 0), kwargs = {})
2025-03-21T20:26:49.6132572Z       %aten_select_copy_int_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_28, 0, 0), kwargs = {})
2025-03-21T20:26:49.6133874Z       %aten_select_copy_int_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_29, 0, 0), kwargs = {})
2025-03-21T20:26:49.6135190Z       %aten_select_copy_int_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_30, 0, 0), kwargs = {})
2025-03-21T20:26:49.6136549Z       %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_3, %aten_view_copy_default_5), kwargs = {})
2025-03-21T20:26:49.6137899Z       %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_3, %aten_view_copy_default_6), kwargs = {})
2025-03-21T20:26:49.6139254Z       %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_4, %aten_view_copy_default_6), kwargs = {})
2025-03-21T20:26:49.6140609Z       %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_4, %aten_view_copy_default_5), kwargs = {})
2025-03-21T20:26:49.6142039Z       %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_5, %aten_view_copy_default_5), kwargs = {})
2025-03-21T20:26:49.6143387Z       %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_5, %aten_view_copy_default_6), kwargs = {})
2025-03-21T20:26:49.6144737Z       %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_6, %aten_view_copy_default_6), kwargs = {})
2025-03-21T20:26:49.6146082Z       %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_6, %aten_view_copy_default_5), kwargs = {})
2025-03-21T20:26:49.6147393Z       %aten_select_copy_int_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_24, 0, 0), kwargs = {})
2025-03-21T20:26:49.6148660Z       %aten_select_copy_int_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_26, 0, 1), kwargs = {})
2025-03-21T20:26:49.6149938Z       %aten_select_copy_int_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_28, 0, 2), kwargs = {})
2025-03-21T20:26:49.6151357Z       %aten_select_copy_int_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_30, 0, 3), kwargs = {})
2025-03-21T20:26:49.6152721Z       %aten_select_copy_int_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_32, 0, 4), kwargs = {})
2025-03-21T20:26:49.6153999Z       %aten_select_copy_int_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_34, 0, 5), kwargs = {})
2025-03-21T20:26:49.6155287Z       %aten_select_copy_int_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_36, 0, 6), kwargs = {})
2025-03-21T20:26:49.6156561Z       %aten_select_copy_int_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_38, 0, 7), kwargs = {})
2025-03-21T20:26:49.6157839Z       %aten_select_copy_int_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_40, 0, 8), kwargs = {})
2025-03-21T20:26:49.6159120Z       %aten_select_copy_int_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_42, 0, 9), kwargs = {})
2025-03-21T20:26:49.6160400Z       %aten_select_copy_int_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_44, 0, 10), kwargs = {})
2025-03-21T20:26:49.6161700Z       %aten_select_copy_int_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_46, 0, 11), kwargs = {})
2025-03-21T20:26:49.6162965Z       %aten_sub_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_2, %aten_mul_tensor_3), kwargs = {})
2025-03-21T20:26:49.6164217Z       %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_4, %aten_mul_tensor_5), kwargs = {})
2025-03-21T20:26:49.6165470Z       %aten_sub_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_6, %aten_mul_tensor_7), kwargs = {})
2025-03-21T20:26:49.6166746Z       %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_8, %aten_mul_tensor_9), kwargs = {})
2025-03-21T20:26:49.6168847Z       %aten_cat_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_25, %aten_select_copy_int_27, %aten_select_copy_int_29, %aten_select_copy_int_31, %aten_select_copy_int_33, %aten_select_copy_int_35, %aten_select_copy_int_37, %aten_select_copy_int_39, %aten_select_copy_int_41, %aten_select_copy_int_43, %aten_select_copy_int_45, %aten_select_copy_int_47],), kwargs = {})
2025-03-21T20:26:49.6171013Z       %aten_unsqueeze_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor, 4), kwargs = {})
2025-03-21T20:26:49.6172361Z       %aten_unsqueeze_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor, 4), kwargs = {})
2025-03-21T20:26:49.6173714Z       %aten_unsqueeze_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_1, 4), kwargs = {})
2025-03-21T20:26:49.6175071Z       %aten_unsqueeze_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_1, 4), kwargs = {})
2025-03-21T20:26:49.6176583Z       %aten_view_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_3, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6178114Z       %aten_cat_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_3, %aten_unsqueeze_copy_default_4], -1), kwargs = {})
2025-03-21T20:26:49.6179599Z       %aten_cat_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_5, %aten_unsqueeze_copy_default_6], -1), kwargs = {})
2025-03-21T20:26:49.6180996Z       %aten_view_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6182404Z       %aten_view_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6183793Z       %aten_permute_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6185414Z       %aten_index_put_default : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_0_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_8), kwargs = {})
2025-03-21T20:26:49.6187065Z       %aten_permute_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6188471Z       %aten_permute_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6189876Z       %aten_permute_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6191290Z       %aten_permute_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6192731Z       %aten_permute_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6194136Z       %aten_permute_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6195543Z       %aten_permute_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6196950Z       %aten_permute_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6198349Z       %aten_permute_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6199767Z       %aten_permute_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6201181Z       %aten_permute_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6202592Z       %aten_permute_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6204055Z       %aten_select_copy_int : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_7, 0, 0), kwargs = {})
2025-03-21T20:26:49.6205350Z       %aten_select_copy_int_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_8, 0, 0), kwargs = {})
2025-03-21T20:26:49.6206653Z       %aten_select_copy_int_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_9, 0, 0), kwargs = {})
2025-03-21T20:26:49.6207956Z       %aten_select_copy_int_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_10, 0, 0), kwargs = {})
2025-03-21T20:26:49.6209257Z       %aten_select_copy_int_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_11, 0, 0), kwargs = {})
2025-03-21T20:26:49.6210561Z       %aten_select_copy_int_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_12, 0, 0), kwargs = {})
2025-03-21T20:26:49.6211865Z       %aten_select_copy_int_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_13, 0, 0), kwargs = {})
2025-03-21T20:26:49.6213193Z       %aten_select_copy_int_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_14, 0, 0), kwargs = {})
2025-03-21T20:26:49.6214484Z       %aten_select_copy_int_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_15, 0, 0), kwargs = {})
2025-03-21T20:26:49.6215788Z       %aten_select_copy_int_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_16, 0, 0), kwargs = {})
2025-03-21T20:26:49.6217091Z       %aten_select_copy_int_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_17, 0, 0), kwargs = {})
2025-03-21T20:26:49.6218421Z       %aten_select_copy_int_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_18, 0, 0), kwargs = {})
2025-03-21T20:26:49.6219699Z       %aten_select_copy_int_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int, 0, 0), kwargs = {})
2025-03-21T20:26:49.6220955Z       %aten_select_copy_int_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_2, 0, 1), kwargs = {})
2025-03-21T20:26:49.6222274Z       %aten_select_copy_int_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_4, 0, 2), kwargs = {})
2025-03-21T20:26:49.6223545Z       %aten_select_copy_int_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_6, 0, 3), kwargs = {})
2025-03-21T20:26:49.6224815Z       %aten_select_copy_int_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_8, 0, 4), kwargs = {})
2025-03-21T20:26:49.6226089Z       %aten_select_copy_int_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_10, 0, 5), kwargs = {})
2025-03-21T20:26:49.6227345Z       %aten_select_copy_int_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_12, 0, 6), kwargs = {})
2025-03-21T20:26:49.6228668Z       %aten_select_copy_int_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_14, 0, 7), kwargs = {})
2025-03-21T20:26:49.6229940Z       %aten_select_copy_int_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_16, 0, 8), kwargs = {})
2025-03-21T20:26:49.6231210Z       %aten_select_copy_int_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_18, 0, 9), kwargs = {})
2025-03-21T20:26:49.6232483Z       %aten_select_copy_int_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_20, 0, 10), kwargs = {})
2025-03-21T20:26:49.6233753Z       %aten_select_copy_int_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_22, 0, 11), kwargs = {})
2025-03-21T20:26:49.6235872Z       %aten_cat_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_1, %aten_select_copy_int_3, %aten_select_copy_int_5, %aten_select_copy_int_7, %aten_select_copy_int_9, %aten_select_copy_int_11, %aten_select_copy_int_13, %aten_select_copy_int_15, %aten_select_copy_int_17, %aten_select_copy_int_19, %aten_select_copy_int_21, %aten_select_copy_int_23],), kwargs = {})
2025-03-21T20:26:49.6238037Z       %aten_view_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_2, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6239515Z       %aten_permute_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_9, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.6240975Z       %aten_matmul_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_6, %aten_permute_copy_default_31), kwargs = {})
2025-03-21T20:26:49.6242447Z       %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default, %_lifted_tensor_constant38), kwargs = {})
2025-03-21T20:26:49.6243798Z       %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_10, %aten_index_tensor_2), kwargs = {})
2025-03-21T20:26:49.6245083Z       %aten__softmax_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_2, -1, False), kwargs = {})
2025-03-21T20:26:49.6246432Z       %aten_matmul_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default, %aten_view_copy_default_10), kwargs = {})
2025-03-21T20:26:49.6247851Z       %aten_permute_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6249377Z       %aten_view_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_32, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.6250786Z       %aten_unsqueeze_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_17, -1), kwargs = {})
2025-03-21T20:26:49.6252228Z       %aten_permute_copy_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6253958Z       %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_33, %p_layers_0_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6255661Z       %aten_permute_copy_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6257058Z       %aten_squeeze_copy_dims_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_34, [-1]), kwargs = {})
2025-03-21T20:26:49.6258409Z       %aten_add_tensor_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_embedding_default, %aten_squeeze_copy_dims_7), kwargs = {})
2025-03-21T20:26:49.6259865Z       %aten_rms_norm_default_1 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_3, [768], %p_layers_0_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6261405Z       %aten_unsqueeze_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_1, -1), kwargs = {})
2025-03-21T20:26:49.6262818Z       %aten_unsqueeze_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_1, -1), kwargs = {})
2025-03-21T20:26:49.6264293Z       %aten_permute_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6265748Z       %aten_permute_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6267453Z       %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_35, %p_layers_0_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6269402Z       %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_37, %p_layers_0_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6271084Z       %aten_permute_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6272525Z       %aten_permute_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6273917Z       %aten_squeeze_copy_dims_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_36, [-1]), kwargs = {})
2025-03-21T20:26:49.6275261Z       %aten_squeeze_copy_dims_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_38, [-1]), kwargs = {})
2025-03-21T20:26:49.6276741Z       %aten_sigmoid_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_8,), kwargs = {})
2025-03-21T20:26:49.6278057Z       %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_8, %aten_sigmoid_default), kwargs = {})
2025-03-21T20:26:49.6279381Z       %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_13, %aten_squeeze_copy_dims_9), kwargs = {})
2025-03-21T20:26:49.6280850Z       %aten_unsqueeze_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_14, -1), kwargs = {})
2025-03-21T20:26:49.6282282Z       %aten_permute_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6283996Z       %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_39, %p_layers_0_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6285664Z       %aten_permute_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6287073Z       %aten_squeeze_copy_dims_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_40, [-1]), kwargs = {})
2025-03-21T20:26:49.6288409Z       %aten_add_tensor_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_3, %aten_squeeze_copy_dims_10), kwargs = {})
2025-03-21T20:26:49.6289914Z       %aten_rms_norm_default_2 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_4, [768], %p_layers_1_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6291436Z       %aten_unsqueeze_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {})
2025-03-21T20:26:49.6292847Z       %aten_unsqueeze_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {})
2025-03-21T20:26:49.6294252Z       %aten_unsqueeze_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {})
2025-03-21T20:26:49.6295731Z       %aten_permute_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6297213Z       %aten_permute_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6298693Z       %aten_permute_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6300476Z       %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_41, %p_layers_1_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6302457Z       %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_43, %p_layers_1_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6304365Z       %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_45, %p_layers_1_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6306081Z       %aten_permute_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6307555Z       %aten_permute_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6308993Z       %aten_permute_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6310393Z       %aten_squeeze_copy_dims_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_42, [-1]), kwargs = {})
2025-03-21T20:26:49.6311841Z       %aten_squeeze_copy_dims_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_44, [-1]), kwargs = {})
2025-03-21T20:26:49.6313187Z       %aten_squeeze_copy_dims_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_46, [-1]), kwargs = {})
2025-03-21T20:26:49.6314542Z       %aten_view_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_11, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6315952Z       %aten_view_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_12, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6317333Z       %aten_view_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_13, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6318722Z       %aten_view_copy_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_18, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6320119Z       %aten_view_copy_default_22 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_19, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6321766Z       %aten_index_put_default_3 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_1_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_20), kwargs = {})
2025-03-21T20:26:49.6323347Z       %aten_slice_copy_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_21, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6324684Z       %aten_slice_copy_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_21, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6326017Z       %aten_slice_copy_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_22, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6327357Z       %aten_slice_copy_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_22, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6328745Z       %aten_permute_copy_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6330176Z       %aten_permute_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6331628Z       %aten_permute_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6333075Z       %aten_permute_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6334501Z       %aten_permute_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6335921Z       %aten_permute_copy_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6337340Z       %aten_permute_copy_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6338762Z       %aten_permute_copy_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6340190Z       %aten_permute_copy_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6341705Z       %aten_permute_copy_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6343192Z       %aten_permute_copy_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6344623Z       %aten_permute_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6346002Z       %aten_squeeze_copy_dims_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_4, [4]), kwargs = {})
2025-03-21T20:26:49.6347351Z       %aten_squeeze_copy_dims_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_5, [4]), kwargs = {})
2025-03-21T20:26:49.6348666Z       %aten_squeeze_copy_dims_16 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_6, [4]), kwargs = {})
2025-03-21T20:26:49.6349981Z       %aten_squeeze_copy_dims_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_7, [4]), kwargs = {})
2025-03-21T20:26:49.6351292Z       %aten_select_copy_int_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_60, 0, 0), kwargs = {})
2025-03-21T20:26:49.6352596Z       %aten_select_copy_int_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_61, 0, 0), kwargs = {})
2025-03-21T20:26:49.6353903Z       %aten_select_copy_int_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_62, 0, 0), kwargs = {})
2025-03-21T20:26:49.6355203Z       %aten_select_copy_int_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_63, 0, 0), kwargs = {})
2025-03-21T20:26:49.6356504Z       %aten_select_copy_int_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_64, 0, 0), kwargs = {})
2025-03-21T20:26:49.6357844Z       %aten_select_copy_int_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_65, 0, 0), kwargs = {})
2025-03-21T20:26:49.6359143Z       %aten_select_copy_int_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_66, 0, 0), kwargs = {})
2025-03-21T20:26:49.6360439Z       %aten_select_copy_int_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_67, 0, 0), kwargs = {})
2025-03-21T20:26:49.6361733Z       %aten_select_copy_int_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_68, 0, 0), kwargs = {})
2025-03-21T20:26:49.6363029Z       %aten_select_copy_int_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_69, 0, 0), kwargs = {})
2025-03-21T20:26:49.6364333Z       %aten_select_copy_int_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_70, 0, 0), kwargs = {})
2025-03-21T20:26:49.6365660Z       %aten_select_copy_int_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_71, 0, 0), kwargs = {})
2025-03-21T20:26:49.6367000Z       %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_14, %aten_view_copy_default_23), kwargs = {})
2025-03-21T20:26:49.6368363Z       %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_14, %aten_view_copy_default_24), kwargs = {})
2025-03-21T20:26:49.6369728Z       %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_15, %aten_view_copy_default_24), kwargs = {})
2025-03-21T20:26:49.6371086Z       %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_15, %aten_view_copy_default_23), kwargs = {})
2025-03-21T20:26:49.6372471Z       %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_16, %aten_view_copy_default_23), kwargs = {})
2025-03-21T20:26:49.6373830Z       %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_16, %aten_view_copy_default_24), kwargs = {})
2025-03-21T20:26:49.6375188Z       %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_17, %aten_view_copy_default_24), kwargs = {})
2025-03-21T20:26:49.6376714Z       %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_17, %aten_view_copy_default_23), kwargs = {})
2025-03-21T20:26:49.6378030Z       %aten_select_copy_int_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_72, 0, 0), kwargs = {})
2025-03-21T20:26:49.6379306Z       %aten_select_copy_int_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_74, 0, 1), kwargs = {})
2025-03-21T20:26:49.6380578Z       %aten_select_copy_int_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_76, 0, 2), kwargs = {})
2025-03-21T20:26:49.6381967Z       %aten_select_copy_int_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_78, 0, 3), kwargs = {})
2025-03-21T20:26:49.6383277Z       %aten_select_copy_int_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_80, 0, 4), kwargs = {})
2025-03-21T20:26:49.6384555Z       %aten_select_copy_int_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_82, 0, 5), kwargs = {})
2025-03-21T20:26:49.6385831Z       %aten_select_copy_int_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_84, 0, 6), kwargs = {})
2025-03-21T20:26:49.6387088Z       %aten_select_copy_int_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_86, 0, 7), kwargs = {})
2025-03-21T20:26:49.6388364Z       %aten_select_copy_int_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_88, 0, 8), kwargs = {})
2025-03-21T20:26:49.6389640Z       %aten_select_copy_int_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_90, 0, 9), kwargs = {})
2025-03-21T20:26:49.6390947Z       %aten_select_copy_int_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_92, 0, 10), kwargs = {})
2025-03-21T20:26:49.6392223Z       %aten_select_copy_int_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_94, 0, 11), kwargs = {})
2025-03-21T20:26:49.6393486Z       %aten_sub_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_17, %aten_mul_tensor_18), kwargs = {})
2025-03-21T20:26:49.6394749Z       %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_19, %aten_mul_tensor_20), kwargs = {})
2025-03-21T20:26:49.6396010Z       %aten_sub_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_21, %aten_mul_tensor_22), kwargs = {})
2025-03-21T20:26:49.6397305Z       %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_23, %aten_mul_tensor_24), kwargs = {})
2025-03-21T20:26:49.6399423Z       %aten_cat_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_73, %aten_select_copy_int_75, %aten_select_copy_int_77, %aten_select_copy_int_79, %aten_select_copy_int_81, %aten_select_copy_int_83, %aten_select_copy_int_85, %aten_select_copy_int_87, %aten_select_copy_int_89, %aten_select_copy_int_91, %aten_select_copy_int_93, %aten_select_copy_int_95],), kwargs = {})
2025-03-21T20:26:49.6401585Z       %aten_unsqueeze_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_2, 4), kwargs = {})
2025-03-21T20:26:49.6402969Z       %aten_unsqueeze_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_5, 4), kwargs = {})
2025-03-21T20:26:49.6404330Z       %aten_unsqueeze_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_3, 4), kwargs = {})
2025-03-21T20:26:49.6405676Z       %aten_unsqueeze_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_6, 4), kwargs = {})
2025-03-21T20:26:49.6407052Z       %aten_view_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_7, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6408507Z       %aten_cat_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_14, %aten_unsqueeze_copy_default_15], -1), kwargs = {})
2025-03-21T20:26:49.6410007Z       %aten_cat_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_16, %aten_unsqueeze_copy_default_17], -1), kwargs = {})
2025-03-21T20:26:49.6411423Z       %aten_view_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_4, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6412761Z       %aten_view_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_5, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6414155Z       %aten_permute_copy_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6415786Z       %aten_index_put_default_2 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_1_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_26), kwargs = {})
2025-03-21T20:26:49.6417448Z       %aten_permute_copy_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6418882Z       %aten_permute_copy_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6420316Z       %aten_permute_copy_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6421820Z       %aten_permute_copy_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6423259Z       %aten_permute_copy_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6424688Z       %aten_permute_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6426110Z       %aten_permute_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6427534Z       %aten_permute_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6428956Z       %aten_permute_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6430378Z       %aten_permute_copy_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6431801Z       %aten_permute_copy_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6433242Z       %aten_permute_copy_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6434632Z       %aten_select_copy_int_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_48, 0, 0), kwargs = {})
2025-03-21T20:26:49.6435940Z       %aten_select_copy_int_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_49, 0, 0), kwargs = {})
2025-03-21T20:26:49.6437241Z       %aten_select_copy_int_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_50, 0, 0), kwargs = {})
2025-03-21T20:26:49.6438545Z       %aten_select_copy_int_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_51, 0, 0), kwargs = {})
2025-03-21T20:26:49.6439834Z       %aten_select_copy_int_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_52, 0, 0), kwargs = {})
2025-03-21T20:26:49.6441141Z       %aten_select_copy_int_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_53, 0, 0), kwargs = {})
2025-03-21T20:26:49.6442469Z       %aten_select_copy_int_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_54, 0, 0), kwargs = {})
2025-03-21T20:26:49.6443768Z       %aten_select_copy_int_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_55, 0, 0), kwargs = {})
2025-03-21T20:26:49.6445064Z       %aten_select_copy_int_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_56, 0, 0), kwargs = {})
2025-03-21T20:26:49.6446370Z       %aten_select_copy_int_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_57, 0, 0), kwargs = {})
2025-03-21T20:26:49.6447704Z       %aten_select_copy_int_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_58, 0, 0), kwargs = {})
2025-03-21T20:26:49.6449017Z       %aten_select_copy_int_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_59, 0, 0), kwargs = {})
2025-03-21T20:26:49.6450303Z       %aten_select_copy_int_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_48, 0, 0), kwargs = {})
2025-03-21T20:26:49.6451576Z       %aten_select_copy_int_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_50, 0, 1), kwargs = {})
2025-03-21T20:26:49.6452850Z       %aten_select_copy_int_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_52, 0, 2), kwargs = {})
2025-03-21T20:26:49.6454110Z       %aten_select_copy_int_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_54, 0, 3), kwargs = {})
2025-03-21T20:26:49.6455375Z       %aten_select_copy_int_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_56, 0, 4), kwargs = {})
2025-03-21T20:26:49.6456645Z       %aten_select_copy_int_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_58, 0, 5), kwargs = {})
2025-03-21T20:26:49.6457944Z       %aten_select_copy_int_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_60, 0, 6), kwargs = {})
2025-03-21T20:26:49.6459237Z       %aten_select_copy_int_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_62, 0, 7), kwargs = {})
2025-03-21T20:26:49.6460509Z       %aten_select_copy_int_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_64, 0, 8), kwargs = {})
2025-03-21T20:26:49.6461828Z       %aten_select_copy_int_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_66, 0, 9), kwargs = {})
2025-03-21T20:26:49.6463104Z       %aten_select_copy_int_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_68, 0, 10), kwargs = {})
2025-03-21T20:26:49.6464386Z       %aten_select_copy_int_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_70, 0, 11), kwargs = {})
2025-03-21T20:26:49.6466555Z       %aten_cat_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_49, %aten_select_copy_int_51, %aten_select_copy_int_53, %aten_select_copy_int_55, %aten_select_copy_int_57, %aten_select_copy_int_59, %aten_select_copy_int_61, %aten_select_copy_int_63, %aten_select_copy_int_65, %aten_select_copy_int_67, %aten_select_copy_int_69, %aten_select_copy_int_71],), kwargs = {})
2025-03-21T20:26:49.6468699Z       %aten_view_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_6, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6470088Z       %aten_permute_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_27, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.6471552Z       %aten_matmul_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_47, %aten_permute_copy_default_72), kwargs = {})
2025-03-21T20:26:49.6473009Z       %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_2, %_lifted_tensor_constant39), kwargs = {})
2025-03-21T20:26:49.6474321Z       %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_25, %aten_index_tensor_3), kwargs = {})
2025-03-21T20:26:49.6475765Z       %aten__softmax_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_7, -1, False), kwargs = {})
2025-03-21T20:26:49.6477148Z       %aten_matmul_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_1, %aten_view_copy_default_28), kwargs = {})
2025-03-21T20:26:49.6478575Z       %aten_permute_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6479979Z       %aten_view_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_73, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.6481378Z       %aten_unsqueeze_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_35, -1), kwargs = {})
2025-03-21T20:26:49.6482822Z       %aten_permute_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6484625Z       %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_74, %p_layers_1_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6486316Z       %aten_permute_copy_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6487717Z       %aten_squeeze_copy_dims_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_75, [-1]), kwargs = {})
2025-03-21T20:26:49.6489040Z       %aten_add_tensor_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_4, %aten_squeeze_copy_dims_18), kwargs = {})
2025-03-21T20:26:49.6490456Z       %aten_rms_norm_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_8, [768], %p_layers_1_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6491945Z       %aten_unsqueeze_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_3, -1), kwargs = {})
2025-03-21T20:26:49.6493388Z       %aten_unsqueeze_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_3, -1), kwargs = {})
2025-03-21T20:26:49.6494817Z       %aten_permute_copy_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6496287Z       %aten_permute_copy_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6497984Z       %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_76, %p_layers_1_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6499947Z       %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_78, %p_layers_1_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6501676Z       %aten_permute_copy_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6503129Z       %aten_permute_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6504531Z       %aten_squeeze_copy_dims_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_77, [-1]), kwargs = {})
2025-03-21T20:26:49.6505884Z       %aten_squeeze_copy_dims_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_79, [-1]), kwargs = {})
2025-03-21T20:26:49.6507203Z       %aten_sigmoid_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_19,), kwargs = {})
2025-03-21T20:26:49.6508529Z       %aten_mul_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_19, %aten_sigmoid_default_1), kwargs = {})
2025-03-21T20:26:49.6509902Z       %aten_mul_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_28, %aten_squeeze_copy_dims_20), kwargs = {})
2025-03-21T20:26:49.6511250Z       %aten_unsqueeze_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_29, -1), kwargs = {})
2025-03-21T20:26:49.6512685Z       %aten_permute_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6514394Z       %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_80, %p_layers_1_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6516097Z       %aten_permute_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6517495Z       %aten_squeeze_copy_dims_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_81, [-1]), kwargs = {})
2025-03-21T20:26:49.6518850Z       %aten_add_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_8, %aten_squeeze_copy_dims_21), kwargs = {})
2025-03-21T20:26:49.6520305Z       %aten_rms_norm_default_4 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_9, [768], %p_layers_2_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6521809Z       %aten_unsqueeze_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {})
2025-03-21T20:26:49.6523208Z       %aten_unsqueeze_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {})
2025-03-21T20:26:49.6524631Z       %aten_unsqueeze_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {})
2025-03-21T20:26:49.6526064Z       %aten_permute_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6527541Z       %aten_permute_copy_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6529004Z       %aten_permute_copy_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_24, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6530706Z       %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_82, %p_layers_2_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6532621Z       %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_84, %p_layers_2_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6534542Z       %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_86, %p_layers_2_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6536246Z       %aten_permute_copy_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6537705Z       %aten_permute_copy_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6539162Z       %aten_permute_copy_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6540565Z       %aten_squeeze_copy_dims_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_83, [-1]), kwargs = {})
2025-03-21T20:26:49.6542007Z       %aten_squeeze_copy_dims_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_85, [-1]), kwargs = {})
2025-03-21T20:26:49.6543359Z       %aten_squeeze_copy_dims_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_87, [-1]), kwargs = {})
2025-03-21T20:26:49.6544756Z       %aten_view_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_22, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6546139Z       %aten_view_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_23, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6547521Z       %aten_view_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_24, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6548912Z       %aten_view_copy_default_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_36, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6550329Z       %aten_view_copy_default_40 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_37, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6551943Z       %aten_index_put_default_5 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_2_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_38), kwargs = {})
2025-03-21T20:26:49.6553523Z       %aten_slice_copy_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_39, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6554867Z       %aten_slice_copy_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_39, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6556204Z       %aten_slice_copy_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_40, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6557542Z       %aten_slice_copy_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_40, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6558929Z       %aten_permute_copy_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6560446Z       %aten_permute_copy_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6562240Z       %aten_permute_copy_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6563729Z       %aten_permute_copy_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6565249Z       %aten_permute_copy_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6588014Z       %aten_permute_copy_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6589490Z       %aten_permute_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6590923Z       %aten_permute_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6592465Z       %aten_permute_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6593891Z       %aten_permute_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6595321Z       %aten_permute_copy_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6596748Z       %aten_permute_copy_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6598163Z       %aten_squeeze_copy_dims_25 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_8, [4]), kwargs = {})
2025-03-21T20:26:49.6599478Z       %aten_squeeze_copy_dims_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_9, [4]), kwargs = {})
2025-03-21T20:26:49.6600778Z       %aten_squeeze_copy_dims_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_10, [4]), kwargs = {})
2025-03-21T20:26:49.6602098Z       %aten_squeeze_copy_dims_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_11, [4]), kwargs = {})
2025-03-21T20:26:49.6603410Z       %aten_select_copy_int_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_101, 0, 0), kwargs = {})
2025-03-21T20:26:49.6604730Z       %aten_select_copy_int_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_102, 0, 0), kwargs = {})
2025-03-21T20:26:49.6606038Z       %aten_select_copy_int_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_103, 0, 0), kwargs = {})
2025-03-21T20:26:49.6607350Z       %aten_select_copy_int_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_104, 0, 0), kwargs = {})
2025-03-21T20:26:49.6608735Z       %aten_select_copy_int_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_105, 0, 0), kwargs = {})
2025-03-21T20:26:49.6610058Z       %aten_select_copy_int_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_106, 0, 0), kwargs = {})
2025-03-21T20:26:49.6611381Z       %aten_select_copy_int_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_107, 0, 0), kwargs = {})
2025-03-21T20:26:49.6612700Z       %aten_select_copy_int_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_108, 0, 0), kwargs = {})
2025-03-21T20:26:49.6613999Z       %aten_select_copy_int_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_109, 0, 0), kwargs = {})
2025-03-21T20:26:49.6615317Z       %aten_select_copy_int_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_110, 0, 0), kwargs = {})
2025-03-21T20:26:49.6616663Z       %aten_select_copy_int_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_111, 0, 0), kwargs = {})
2025-03-21T20:26:49.6617984Z       %aten_select_copy_int_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_112, 0, 0), kwargs = {})
2025-03-21T20:26:49.6619329Z       %aten_mul_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_25, %aten_view_copy_default_41), kwargs = {})
2025-03-21T20:26:49.6620699Z       %aten_mul_tensor_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_25, %aten_view_copy_default_42), kwargs = {})
2025-03-21T20:26:49.6622160Z       %aten_mul_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_26, %aten_view_copy_default_42), kwargs = {})
2025-03-21T20:26:49.6623561Z       %aten_mul_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_26, %aten_view_copy_default_41), kwargs = {})
2025-03-21T20:26:49.6624921Z       %aten_mul_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_27, %aten_view_copy_default_41), kwargs = {})
2025-03-21T20:26:49.6626286Z       %aten_mul_tensor_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_27, %aten_view_copy_default_42), kwargs = {})
2025-03-21T20:26:49.6627655Z       %aten_mul_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_28, %aten_view_copy_default_42), kwargs = {})
2025-03-21T20:26:49.6629007Z       %aten_mul_tensor_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_28, %aten_view_copy_default_41), kwargs = {})
2025-03-21T20:26:49.6630339Z       %aten_select_copy_int_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_120, 0, 0), kwargs = {})
2025-03-21T20:26:49.6631631Z       %aten_select_copy_int_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_122, 0, 1), kwargs = {})
2025-03-21T20:26:49.6632949Z       %aten_select_copy_int_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_124, 0, 2), kwargs = {})
2025-03-21T20:26:49.6634264Z       %aten_select_copy_int_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_126, 0, 3), kwargs = {})
2025-03-21T20:26:49.6635555Z       %aten_select_copy_int_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_128, 0, 4), kwargs = {})
2025-03-21T20:26:49.6636840Z       %aten_select_copy_int_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_130, 0, 5), kwargs = {})
2025-03-21T20:26:49.6638127Z       %aten_select_copy_int_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_132, 0, 6), kwargs = {})
2025-03-21T20:26:49.6639414Z       %aten_select_copy_int_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_134, 0, 7), kwargs = {})
2025-03-21T20:26:49.6640704Z       %aten_select_copy_int_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_136, 0, 8), kwargs = {})
2025-03-21T20:26:49.6642016Z       %aten_select_copy_int_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_138, 0, 9), kwargs = {})
2025-03-21T20:26:49.6643291Z       %aten_select_copy_int_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_140, 0, 10), kwargs = {})
2025-03-21T20:26:49.6644581Z       %aten_select_copy_int_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_142, 0, 11), kwargs = {})
2025-03-21T20:26:49.6645863Z       %aten_sub_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_32, %aten_mul_tensor_33), kwargs = {})
2025-03-21T20:26:49.6647132Z       %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_34, %aten_mul_tensor_35), kwargs = {})
2025-03-21T20:26:49.6648419Z       %aten_sub_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_36, %aten_mul_tensor_37), kwargs = {})
2025-03-21T20:26:49.6649994Z       %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_38, %aten_mul_tensor_39), kwargs = {})
2025-03-21T20:26:49.6652172Z       %aten_cat_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_121, %aten_select_copy_int_123, %aten_select_copy_int_125, %aten_select_copy_int_127, %aten_select_copy_int_129, %aten_select_copy_int_131, %aten_select_copy_int_133, %aten_select_copy_int_135, %aten_select_copy_int_137, %aten_select_copy_int_139, %aten_select_copy_int_141, %aten_select_copy_int_143],), kwargs = {})
2025-03-21T20:26:49.6654412Z       %aten_unsqueeze_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_4, 4), kwargs = {})
2025-03-21T20:26:49.6655777Z       %aten_unsqueeze_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_10, 4), kwargs = {})
2025-03-21T20:26:49.6657139Z       %aten_unsqueeze_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_5, 4), kwargs = {})
2025-03-21T20:26:49.6658535Z       %aten_unsqueeze_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_11, 4), kwargs = {})
2025-03-21T20:26:49.6659912Z       %aten_view_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_11, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6661415Z       %aten_cat_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_25, %aten_unsqueeze_copy_default_26], -1), kwargs = {})
2025-03-21T20:26:49.6662896Z       %aten_cat_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_27, %aten_unsqueeze_copy_default_28], -1), kwargs = {})
2025-03-21T20:26:49.6664312Z       %aten_view_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_8, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6665650Z       %aten_view_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_9, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6667035Z       %aten_permute_copy_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_43, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6668691Z       %aten_index_put_default_4 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_2_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_44), kwargs = {})
2025-03-21T20:26:49.6670320Z       %aten_permute_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6671752Z       %aten_permute_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6673175Z       %aten_permute_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6674626Z       %aten_permute_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6676236Z       %aten_permute_copy_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6677664Z       %aten_permute_copy_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6679096Z       %aten_permute_copy_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6680523Z       %aten_permute_copy_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6681930Z       %aten_permute_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6683354Z       %aten_permute_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6684886Z       %aten_permute_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6686327Z       %aten_permute_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6687703Z       %aten_select_copy_int_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_89, 0, 0), kwargs = {})
2025-03-21T20:26:49.6689015Z       %aten_select_copy_int_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_90, 0, 0), kwargs = {})
2025-03-21T20:26:49.6690331Z       %aten_select_copy_int_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_91, 0, 0), kwargs = {})
2025-03-21T20:26:49.6691646Z       %aten_select_copy_int_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_92, 0, 0), kwargs = {})
2025-03-21T20:26:49.6692963Z       %aten_select_copy_int_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_93, 0, 0), kwargs = {})
2025-03-21T20:26:49.6694308Z       %aten_select_copy_int_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_94, 0, 0), kwargs = {})
2025-03-21T20:26:49.6695627Z       %aten_select_copy_int_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_95, 0, 0), kwargs = {})
2025-03-21T20:26:49.6696941Z       %aten_select_copy_int_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_96, 0, 0), kwargs = {})
2025-03-21T20:26:49.6698237Z       %aten_select_copy_int_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_97, 0, 0), kwargs = {})
2025-03-21T20:26:49.6699588Z       %aten_select_copy_int_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_98, 0, 0), kwargs = {})
2025-03-21T20:26:49.6700903Z       %aten_select_copy_int_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_99, 0, 0), kwargs = {})
2025-03-21T20:26:49.6702273Z       %aten_select_copy_int_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_100, 0, 0), kwargs = {})
2025-03-21T20:26:49.6703579Z       %aten_select_copy_int_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_96, 0, 0), kwargs = {})
2025-03-21T20:26:49.6704857Z       %aten_select_copy_int_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_98, 0, 1), kwargs = {})
2025-03-21T20:26:49.6706145Z       %aten_select_copy_int_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_100, 0, 2), kwargs = {})
2025-03-21T20:26:49.6707435Z       %aten_select_copy_int_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_102, 0, 3), kwargs = {})
2025-03-21T20:26:49.6708725Z       %aten_select_copy_int_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_104, 0, 4), kwargs = {})
2025-03-21T20:26:49.6710068Z       %aten_select_copy_int_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_106, 0, 5), kwargs = {})
2025-03-21T20:26:49.6711346Z       %aten_select_copy_int_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_108, 0, 6), kwargs = {})
2025-03-21T20:26:49.6712637Z       %aten_select_copy_int_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_110, 0, 7), kwargs = {})
2025-03-21T20:26:49.6713927Z       %aten_select_copy_int_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_112, 0, 8), kwargs = {})
2025-03-21T20:26:49.6715217Z       %aten_select_copy_int_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_114, 0, 9), kwargs = {})
2025-03-21T20:26:49.6716516Z       %aten_select_copy_int_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_116, 0, 10), kwargs = {})
2025-03-21T20:26:49.6717812Z       %aten_select_copy_int_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_118, 0, 11), kwargs = {})
2025-03-21T20:26:49.6720033Z       %aten_cat_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_97, %aten_select_copy_int_99, %aten_select_copy_int_101, %aten_select_copy_int_103, %aten_select_copy_int_105, %aten_select_copy_int_107, %aten_select_copy_int_109, %aten_select_copy_int_111, %aten_select_copy_int_113, %aten_select_copy_int_115, %aten_select_copy_int_117, %aten_select_copy_int_119],), kwargs = {})
2025-03-21T20:26:49.6722233Z       %aten_view_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_10, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6723636Z       %aten_permute_copy_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_45, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.6725142Z       %aten_matmul_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_88, %aten_permute_copy_default_113), kwargs = {})
2025-03-21T20:26:49.6726571Z       %aten_mul_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_4, %_lifted_tensor_constant40), kwargs = {})
2025-03-21T20:26:49.6727878Z       %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_40, %aten_index_tensor_4), kwargs = {})
2025-03-21T20:26:49.6729169Z       %aten__softmax_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_12, -1, False), kwargs = {})
2025-03-21T20:26:49.6730546Z       %aten_matmul_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_2, %aten_view_copy_default_46), kwargs = {})
2025-03-21T20:26:49.6731965Z       %aten_permute_copy_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6733370Z       %aten_view_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_114, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.6734812Z       %aten_unsqueeze_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_53, -1), kwargs = {})
2025-03-21T20:26:49.6736302Z       %aten_permute_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6738011Z       %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_115, %p_layers_2_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6739707Z       %aten_permute_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6741124Z       %aten_squeeze_copy_dims_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_116, [-1]), kwargs = {})
2025-03-21T20:26:49.6742551Z       %aten_add_tensor_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_9, %aten_squeeze_copy_dims_29), kwargs = {})
2025-03-21T20:26:49.6744027Z       %aten_rms_norm_default_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_13, [768], %p_layers_2_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6745510Z       %aten_unsqueeze_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_5, -1), kwargs = {})
2025-03-21T20:26:49.6746911Z       %aten_unsqueeze_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_5, -1), kwargs = {})
2025-03-21T20:26:49.6748363Z       %aten_permute_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_30, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6749873Z       %aten_permute_copy_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_31, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6751572Z       %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_117, %p_layers_2_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6753504Z       %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_119, %p_layers_2_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6755206Z       %aten_permute_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6756674Z       %aten_permute_copy_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6758079Z       %aten_squeeze_copy_dims_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_118, [-1]), kwargs = {})
2025-03-21T20:26:49.6759427Z       %aten_squeeze_copy_dims_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_120, [-1]), kwargs = {})
2025-03-21T20:26:49.6760772Z       %aten_sigmoid_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_30,), kwargs = {})
2025-03-21T20:26:49.6762123Z       %aten_mul_tensor_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_30, %aten_sigmoid_default_2), kwargs = {})
2025-03-21T20:26:49.6763459Z       %aten_mul_tensor_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_43, %aten_squeeze_copy_dims_31), kwargs = {})
2025-03-21T20:26:49.6764801Z       %aten_unsqueeze_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_44, -1), kwargs = {})
2025-03-21T20:26:49.6766236Z       %aten_permute_copy_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_32, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6767949Z       %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_121, %p_layers_2_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6769671Z       %aten_permute_copy_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6771082Z       %aten_squeeze_copy_dims_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_122, [-1]), kwargs = {})
2025-03-21T20:26:49.6772407Z       %aten_add_tensor_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_13, %aten_squeeze_copy_dims_32), kwargs = {})
2025-03-21T20:26:49.6773877Z       %aten_rms_norm_default_6 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_14, [768], %p_layers_3_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6775426Z       %aten_unsqueeze_copy_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {})
2025-03-21T20:26:49.6776971Z       %aten_unsqueeze_copy_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {})
2025-03-21T20:26:49.6778375Z       %aten_unsqueeze_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {})
2025-03-21T20:26:49.6779828Z       %aten_permute_copy_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6781380Z       %aten_permute_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_34, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6782876Z       %aten_permute_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_35, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6784575Z       %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_123, %p_layers_3_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6786539Z       %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_125, %p_layers_3_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6788491Z       %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_127, %p_layers_3_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6790185Z       %aten_permute_copy_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6791649Z       %aten_permute_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6793107Z       %aten_permute_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6794503Z       %aten_squeeze_copy_dims_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_124, [-1]), kwargs = {})
2025-03-21T20:26:49.6795885Z       %aten_squeeze_copy_dims_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_126, [-1]), kwargs = {})
2025-03-21T20:26:49.6797224Z       %aten_squeeze_copy_dims_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_128, [-1]), kwargs = {})
2025-03-21T20:26:49.6798585Z       %aten_view_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_33, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6799960Z       %aten_view_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_34, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6801462Z       %aten_view_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_35, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6802841Z       %aten_view_copy_default_57 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_54, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6804225Z       %aten_view_copy_default_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_55, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.6805835Z       %aten_index_put_default_7 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_3_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_56), kwargs = {})
2025-03-21T20:26:49.6807412Z       %aten_slice_copy_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_57, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6808746Z       %aten_slice_copy_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_57, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6810070Z       %aten_slice_copy_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_58, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.6811461Z       %aten_slice_copy_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_58, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.6813067Z       %aten_permute_copy_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6814500Z       %aten_permute_copy_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6815923Z       %aten_permute_copy_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6817350Z       %aten_permute_copy_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6818767Z       %aten_permute_copy_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6820192Z       %aten_permute_copy_default_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6821696Z       %aten_permute_copy_default_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6823121Z       %aten_permute_copy_default_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6824548Z       %aten_permute_copy_default_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6825957Z       %aten_permute_copy_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6827410Z       %aten_permute_copy_default_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6828828Z       %aten_permute_copy_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6830198Z       %aten_squeeze_copy_dims_36 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_12, [4]), kwargs = {})
2025-03-21T20:26:49.6831521Z       %aten_squeeze_copy_dims_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_13, [4]), kwargs = {})
2025-03-21T20:26:49.6832828Z       %aten_squeeze_copy_dims_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_14, [4]), kwargs = {})
2025-03-21T20:26:49.6834146Z       %aten_squeeze_copy_dims_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_15, [4]), kwargs = {})
2025-03-21T20:26:49.6835471Z       %aten_select_copy_int_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_142, 0, 0), kwargs = {})
2025-03-21T20:26:49.6836779Z       %aten_select_copy_int_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_143, 0, 0), kwargs = {})
2025-03-21T20:26:49.6838158Z       %aten_select_copy_int_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_144, 0, 0), kwargs = {})
2025-03-21T20:26:49.6839466Z       %aten_select_copy_int_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_145, 0, 0), kwargs = {})
2025-03-21T20:26:49.6840778Z       %aten_select_copy_int_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_146, 0, 0), kwargs = {})
2025-03-21T20:26:49.6842086Z       %aten_select_copy_int_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_147, 0, 0), kwargs = {})
2025-03-21T20:26:49.6843393Z       %aten_select_copy_int_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_148, 0, 0), kwargs = {})
2025-03-21T20:26:49.6844711Z       %aten_select_copy_int_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_149, 0, 0), kwargs = {})
2025-03-21T20:26:49.6846008Z       %aten_select_copy_int_184 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_150, 0, 0), kwargs = {})
2025-03-21T20:26:49.6847340Z       %aten_select_copy_int_186 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_151, 0, 0), kwargs = {})
2025-03-21T20:26:49.6848649Z       %aten_select_copy_int_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_152, 0, 0), kwargs = {})
2025-03-21T20:26:49.6849963Z       %aten_select_copy_int_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_153, 0, 0), kwargs = {})
2025-03-21T20:26:49.6851294Z       %aten_mul_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_36, %aten_view_copy_default_59), kwargs = {})
2025-03-21T20:26:49.6852683Z       %aten_mul_tensor_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_36, %aten_view_copy_default_60), kwargs = {})
2025-03-21T20:26:49.6854042Z       %aten_mul_tensor_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_37, %aten_view_copy_default_60), kwargs = {})
2025-03-21T20:26:49.6855395Z       %aten_mul_tensor_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_37, %aten_view_copy_default_59), kwargs = {})
2025-03-21T20:26:49.6856752Z       %aten_mul_tensor_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_38, %aten_view_copy_default_59), kwargs = {})
2025-03-21T20:26:49.6858107Z       %aten_mul_tensor_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_38, %aten_view_copy_default_60), kwargs = {})
2025-03-21T20:26:49.6859457Z       %aten_mul_tensor_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_39, %aten_view_copy_default_60), kwargs = {})
2025-03-21T20:26:49.6860798Z       %aten_mul_tensor_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_39, %aten_view_copy_default_59), kwargs = {})
2025-03-21T20:26:49.6862179Z       %aten_select_copy_int_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_168, 0, 0), kwargs = {})
2025-03-21T20:26:49.6863519Z       %aten_select_copy_int_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_170, 0, 1), kwargs = {})
2025-03-21T20:26:49.6864795Z       %aten_select_copy_int_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_172, 0, 2), kwargs = {})
2025-03-21T20:26:49.6866082Z       %aten_select_copy_int_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_174, 0, 3), kwargs = {})
2025-03-21T20:26:49.6867356Z       %aten_select_copy_int_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_176, 0, 4), kwargs = {})
2025-03-21T20:26:49.6868628Z       %aten_select_copy_int_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_178, 0, 5), kwargs = {})
2025-03-21T20:26:49.6869902Z       %aten_select_copy_int_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_180, 0, 6), kwargs = {})
2025-03-21T20:26:49.6871224Z       %aten_select_copy_int_183 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_182, 0, 7), kwargs = {})
2025-03-21T20:26:49.6872499Z       %aten_select_copy_int_185 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_184, 0, 8), kwargs = {})
2025-03-21T20:26:49.6873776Z       %aten_select_copy_int_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_186, 0, 9), kwargs = {})
2025-03-21T20:26:49.6875047Z       %aten_select_copy_int_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_188, 0, 10), kwargs = {})
2025-03-21T20:26:49.6876515Z       %aten_select_copy_int_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_190, 0, 11), kwargs = {})
2025-03-21T20:26:49.6877854Z       %aten_sub_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_47, %aten_mul_tensor_48), kwargs = {})
2025-03-21T20:26:49.6879109Z       %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_49, %aten_mul_tensor_50), kwargs = {})
2025-03-21T20:26:49.6880359Z       %aten_sub_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_51, %aten_mul_tensor_52), kwargs = {})
2025-03-21T20:26:49.6881613Z       %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_53, %aten_mul_tensor_54), kwargs = {})
2025-03-21T20:26:49.6883784Z       %aten_cat_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_169, %aten_select_copy_int_171, %aten_select_copy_int_173, %aten_select_copy_int_175, %aten_select_copy_int_177, %aten_select_copy_int_179, %aten_select_copy_int_181, %aten_select_copy_int_183, %aten_select_copy_int_185, %aten_select_copy_int_187, %aten_select_copy_int_189, %aten_select_copy_int_191],), kwargs = {})
2025-03-21T20:26:49.6886003Z       %aten_unsqueeze_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_6, 4), kwargs = {})
2025-03-21T20:26:49.6887358Z       %aten_unsqueeze_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_15, 4), kwargs = {})
2025-03-21T20:26:49.6888847Z       %aten_unsqueeze_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_7, 4), kwargs = {})
2025-03-21T20:26:49.6890206Z       %aten_unsqueeze_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_16, 4), kwargs = {})
2025-03-21T20:26:49.6891553Z       %aten_view_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_15, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6892972Z       %aten_cat_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_36, %aten_unsqueeze_copy_default_37], -1), kwargs = {})
2025-03-21T20:26:49.6894460Z       %aten_cat_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_38, %aten_unsqueeze_copy_default_39], -1), kwargs = {})
2025-03-21T20:26:49.6895873Z       %aten_view_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_12, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6897241Z       %aten_view_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_13, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.6898623Z       %aten_permute_copy_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_61, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6900256Z       %aten_index_put_default_6 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_3_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_62), kwargs = {})
2025-03-21T20:26:49.6901937Z       %aten_permute_copy_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6903402Z       %aten_permute_copy_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6904830Z       %aten_permute_copy_default_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6906253Z       %aten_permute_copy_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6907684Z       %aten_permute_copy_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6909113Z       %aten_permute_copy_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6910537Z       %aten_permute_copy_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6912038Z       %aten_permute_copy_default_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6913484Z       %aten_permute_copy_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6914942Z       %aten_permute_copy_default_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6916366Z       %aten_permute_copy_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6917791Z       %aten_permute_copy_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6919155Z       %aten_select_copy_int_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_130, 0, 0), kwargs = {})
2025-03-21T20:26:49.6920477Z       %aten_select_copy_int_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_131, 0, 0), kwargs = {})
2025-03-21T20:26:49.6921791Z       %aten_select_copy_int_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_132, 0, 0), kwargs = {})
2025-03-21T20:26:49.6923153Z       %aten_select_copy_int_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_133, 0, 0), kwargs = {})
2025-03-21T20:26:49.6924466Z       %aten_select_copy_int_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_134, 0, 0), kwargs = {})
2025-03-21T20:26:49.6925773Z       %aten_select_copy_int_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_135, 0, 0), kwargs = {})
2025-03-21T20:26:49.6927072Z       %aten_select_copy_int_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_136, 0, 0), kwargs = {})
2025-03-21T20:26:49.6928407Z       %aten_select_copy_int_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_137, 0, 0), kwargs = {})
2025-03-21T20:26:49.6929700Z       %aten_select_copy_int_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_138, 0, 0), kwargs = {})
2025-03-21T20:26:49.6931013Z       %aten_select_copy_int_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_139, 0, 0), kwargs = {})
2025-03-21T20:26:49.6932319Z       %aten_select_copy_int_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_140, 0, 0), kwargs = {})
2025-03-21T20:26:49.6933696Z       %aten_select_copy_int_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_141, 0, 0), kwargs = {})
2025-03-21T20:26:49.6934985Z       %aten_select_copy_int_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_144, 0, 0), kwargs = {})
2025-03-21T20:26:49.6936319Z       %aten_select_copy_int_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_146, 0, 1), kwargs = {})
2025-03-21T20:26:49.6937597Z       %aten_select_copy_int_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_148, 0, 2), kwargs = {})
2025-03-21T20:26:49.6938936Z       %aten_select_copy_int_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_150, 0, 3), kwargs = {})
2025-03-21T20:26:49.6940214Z       %aten_select_copy_int_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_152, 0, 4), kwargs = {})
2025-03-21T20:26:49.6941547Z       %aten_select_copy_int_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_154, 0, 5), kwargs = {})
2025-03-21T20:26:49.6942818Z       %aten_select_copy_int_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_156, 0, 6), kwargs = {})
2025-03-21T20:26:49.6944287Z       %aten_select_copy_int_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_158, 0, 7), kwargs = {})
2025-03-21T20:26:49.6945576Z       %aten_select_copy_int_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_160, 0, 8), kwargs = {})
2025-03-21T20:26:49.6946853Z       %aten_select_copy_int_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_162, 0, 9), kwargs = {})
2025-03-21T20:26:49.6948169Z       %aten_select_copy_int_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_164, 0, 10), kwargs = {})
2025-03-21T20:26:49.6949449Z       %aten_select_copy_int_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_166, 0, 11), kwargs = {})
2025-03-21T20:26:49.6951633Z       %aten_cat_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_145, %aten_select_copy_int_147, %aten_select_copy_int_149, %aten_select_copy_int_151, %aten_select_copy_int_153, %aten_select_copy_int_155, %aten_select_copy_int_157, %aten_select_copy_int_159, %aten_select_copy_int_161, %aten_select_copy_int_163, %aten_select_copy_int_165, %aten_select_copy_int_167],), kwargs = {})
2025-03-21T20:26:49.6953864Z       %aten_view_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_14, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.6955255Z       %aten_permute_copy_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_63, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.6956729Z       %aten_matmul_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_129, %aten_permute_copy_default_154), kwargs = {})
2025-03-21T20:26:49.6958162Z       %aten_mul_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_6, %_lifted_tensor_constant41), kwargs = {})
2025-03-21T20:26:49.6959468Z       %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_55, %aten_index_tensor_5), kwargs = {})
2025-03-21T20:26:49.6960759Z       %aten__softmax_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_17, -1, False), kwargs = {})
2025-03-21T20:26:49.6962129Z       %aten_matmul_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_3, %aten_view_copy_default_64), kwargs = {})
2025-03-21T20:26:49.6963569Z       %aten_permute_copy_default_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6965008Z       %aten_view_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_155, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.6966411Z       %aten_unsqueeze_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_71, -1), kwargs = {})
2025-03-21T20:26:49.6967861Z       %aten_permute_copy_default_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_40, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6969562Z       %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_156, %p_layers_3_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6971251Z       %aten_permute_copy_default_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_24, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6972659Z       %aten_squeeze_copy_dims_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_157, [-1]), kwargs = {})
2025-03-21T20:26:49.6974014Z       %aten_add_tensor_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_14, %aten_squeeze_copy_dims_40), kwargs = {})
2025-03-21T20:26:49.6975447Z       %aten_rms_norm_default_7 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_18, [768], %p_layers_3_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.6977081Z       %aten_unsqueeze_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_7, -1), kwargs = {})
2025-03-21T20:26:49.6978474Z       %aten_unsqueeze_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_7, -1), kwargs = {})
2025-03-21T20:26:49.6979973Z       %aten_permute_copy_default_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6981522Z       %aten_permute_copy_default_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_42, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6983224Z       %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_158, %p_layers_3_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6985152Z       %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_160, %p_layers_3_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.6986845Z       %aten_permute_copy_default_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6988305Z       %aten_permute_copy_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_26, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6989745Z       %aten_squeeze_copy_dims_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_159, [-1]), kwargs = {})
2025-03-21T20:26:49.6991121Z       %aten_squeeze_copy_dims_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_161, [-1]), kwargs = {})
2025-03-21T20:26:49.6992431Z       %aten_sigmoid_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_41,), kwargs = {})
2025-03-21T20:26:49.6993742Z       %aten_mul_tensor_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_41, %aten_sigmoid_default_3), kwargs = {})
2025-03-21T20:26:49.6995064Z       %aten_mul_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_58, %aten_squeeze_copy_dims_42), kwargs = {})
2025-03-21T20:26:49.6996403Z       %aten_unsqueeze_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_59, -1), kwargs = {})
2025-03-21T20:26:49.6997823Z       %aten_permute_copy_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_43, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.6999558Z       %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_162, %p_layers_3_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7001247Z       %aten_permute_copy_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_27, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7002648Z       %aten_squeeze_copy_dims_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_163, [-1]), kwargs = {})
2025-03-21T20:26:49.7003964Z       %aten_add_tensor_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_18, %aten_squeeze_copy_dims_43), kwargs = {})
2025-03-21T20:26:49.7005450Z       %aten_rms_norm_default_8 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_19, [768], %p_layers_4_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7006950Z       %aten_unsqueeze_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {})
2025-03-21T20:26:49.7008347Z       %aten_unsqueeze_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {})
2025-03-21T20:26:49.7009742Z       %aten_unsqueeze_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {})
2025-03-21T20:26:49.7011173Z       %aten_permute_copy_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_44, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7012654Z       %aten_permute_copy_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7014124Z       %aten_permute_copy_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_46, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7015841Z       %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_164, %p_layers_4_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7017770Z       %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_166, %p_layers_4_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7019673Z       %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_168, %p_layers_4_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7021390Z       %aten_permute_copy_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_28, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7022844Z       %aten_permute_copy_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7024342Z       %aten_permute_copy_default_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_30, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7025738Z       %aten_squeeze_copy_dims_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_165, [-1]), kwargs = {})
2025-03-21T20:26:49.7027082Z       %aten_squeeze_copy_dims_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_167, [-1]), kwargs = {})
2025-03-21T20:26:49.7028430Z       %aten_squeeze_copy_dims_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_169, [-1]), kwargs = {})
2025-03-21T20:26:49.7029788Z       %aten_view_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_44, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7031195Z       %aten_view_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_45, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7032565Z       %aten_view_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_46, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7033946Z       %aten_view_copy_default_75 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_72, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7035338Z       %aten_view_copy_default_76 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_73, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7037021Z       %aten_index_put_default_9 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_4_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_74), kwargs = {})
2025-03-21T20:26:49.7038598Z       %aten_slice_copy_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_75, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7039933Z       %aten_slice_copy_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_75, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7041330Z       %aten_slice_copy_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_76, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7042650Z       %aten_slice_copy_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_76, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7044037Z       %aten_permute_copy_default_183 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7045456Z       %aten_permute_copy_default_184 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7046888Z       %aten_permute_copy_default_185 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7048316Z       %aten_permute_copy_default_186 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7049770Z       %aten_permute_copy_default_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7051195Z       %aten_permute_copy_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7052622Z       %aten_permute_copy_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7054041Z       %aten_permute_copy_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7055490Z       %aten_permute_copy_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7056917Z       %aten_permute_copy_default_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7058336Z       %aten_permute_copy_default_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7059747Z       %aten_permute_copy_default_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7061118Z       %aten_squeeze_copy_dims_47 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_16, [4]), kwargs = {})
2025-03-21T20:26:49.7062498Z       %aten_squeeze_copy_dims_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_17, [4]), kwargs = {})
2025-03-21T20:26:49.7063820Z       %aten_squeeze_copy_dims_49 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_18, [4]), kwargs = {})
2025-03-21T20:26:49.7065134Z       %aten_squeeze_copy_dims_50 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_19, [4]), kwargs = {})
2025-03-21T20:26:49.7066532Z       %aten_select_copy_int_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_183, 0, 0), kwargs = {})
2025-03-21T20:26:49.7067842Z       %aten_select_copy_int_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_184, 0, 0), kwargs = {})
2025-03-21T20:26:49.7069167Z       %aten_select_copy_int_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_185, 0, 0), kwargs = {})
2025-03-21T20:26:49.7070476Z       %aten_select_copy_int_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_186, 0, 0), kwargs = {})
2025-03-21T20:26:49.7071786Z       %aten_select_copy_int_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_187, 0, 0), kwargs = {})
2025-03-21T20:26:49.7073098Z       %aten_select_copy_int_226 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_188, 0, 0), kwargs = {})
2025-03-21T20:26:49.7074393Z       %aten_select_copy_int_228 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_189, 0, 0), kwargs = {})
2025-03-21T20:26:49.7075921Z       %aten_select_copy_int_230 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_190, 0, 0), kwargs = {})
2025-03-21T20:26:49.7077240Z       %aten_select_copy_int_232 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_191, 0, 0), kwargs = {})
2025-03-21T20:26:49.7078553Z       %aten_select_copy_int_234 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_192, 0, 0), kwargs = {})
2025-03-21T20:26:49.7079870Z       %aten_select_copy_int_236 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_193, 0, 0), kwargs = {})
2025-03-21T20:26:49.7081214Z       %aten_select_copy_int_238 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_194, 0, 0), kwargs = {})
2025-03-21T20:26:49.7082559Z       %aten_mul_tensor_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_47, %aten_view_copy_default_77), kwargs = {})
2025-03-21T20:26:49.7083934Z       %aten_mul_tensor_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_47, %aten_view_copy_default_78), kwargs = {})
2025-03-21T20:26:49.7085300Z       %aten_mul_tensor_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_48, %aten_view_copy_default_78), kwargs = {})
2025-03-21T20:26:49.7086671Z       %aten_mul_tensor_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_48, %aten_view_copy_default_77), kwargs = {})
2025-03-21T20:26:49.7088040Z       %aten_mul_tensor_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_49, %aten_view_copy_default_77), kwargs = {})
2025-03-21T20:26:49.7089400Z       %aten_mul_tensor_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_49, %aten_view_copy_default_78), kwargs = {})
2025-03-21T20:26:49.7090745Z       %aten_mul_tensor_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_50, %aten_view_copy_default_78), kwargs = {})
2025-03-21T20:26:49.7092187Z       %aten_mul_tensor_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_50, %aten_view_copy_default_77), kwargs = {})
2025-03-21T20:26:49.7093516Z       %aten_select_copy_int_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_216, 0, 0), kwargs = {})
2025-03-21T20:26:49.7094818Z       %aten_select_copy_int_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_218, 0, 1), kwargs = {})
2025-03-21T20:26:49.7096109Z       %aten_select_copy_int_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_220, 0, 2), kwargs = {})
2025-03-21T20:26:49.7097398Z       %aten_select_copy_int_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_222, 0, 3), kwargs = {})
2025-03-21T20:26:49.7098685Z       %aten_select_copy_int_225 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_224, 0, 4), kwargs = {})
2025-03-21T20:26:49.7099975Z       %aten_select_copy_int_227 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_226, 0, 5), kwargs = {})
2025-03-21T20:26:49.7101367Z       %aten_select_copy_int_229 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_228, 0, 6), kwargs = {})
2025-03-21T20:26:49.7102662Z       %aten_select_copy_int_231 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_230, 0, 7), kwargs = {})
2025-03-21T20:26:49.7103952Z       %aten_select_copy_int_233 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_232, 0, 8), kwargs = {})
2025-03-21T20:26:49.7105232Z       %aten_select_copy_int_235 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_234, 0, 9), kwargs = {})
2025-03-21T20:26:49.7106557Z       %aten_select_copy_int_237 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_236, 0, 10), kwargs = {})
2025-03-21T20:26:49.7107852Z       %aten_select_copy_int_239 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_238, 0, 11), kwargs = {})
2025-03-21T20:26:49.7109130Z       %aten_sub_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_62, %aten_mul_tensor_63), kwargs = {})
2025-03-21T20:26:49.7110387Z       %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_64, %aten_mul_tensor_65), kwargs = {})
2025-03-21T20:26:49.7111646Z       %aten_sub_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_66, %aten_mul_tensor_67), kwargs = {})
2025-03-21T20:26:49.7112908Z       %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_68, %aten_mul_tensor_69), kwargs = {})
2025-03-21T20:26:49.7115076Z       %aten_cat_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_217, %aten_select_copy_int_219, %aten_select_copy_int_221, %aten_select_copy_int_223, %aten_select_copy_int_225, %aten_select_copy_int_227, %aten_select_copy_int_229, %aten_select_copy_int_231, %aten_select_copy_int_233, %aten_select_copy_int_235, %aten_select_copy_int_237, %aten_select_copy_int_239],), kwargs = {})
2025-03-21T20:26:49.7117348Z       %aten_unsqueeze_copy_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_8, 4), kwargs = {})
2025-03-21T20:26:49.7118716Z       %aten_unsqueeze_copy_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_20, 4), kwargs = {})
2025-03-21T20:26:49.7120078Z       %aten_unsqueeze_copy_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_9, 4), kwargs = {})
2025-03-21T20:26:49.7121437Z       %aten_unsqueeze_copy_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_21, 4), kwargs = {})
2025-03-21T20:26:49.7122794Z       %aten_view_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_19, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7124202Z       %aten_cat_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_47, %aten_unsqueeze_copy_default_48], -1), kwargs = {})
2025-03-21T20:26:49.7125724Z       %aten_cat_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_49, %aten_unsqueeze_copy_default_50], -1), kwargs = {})
2025-03-21T20:26:49.7127144Z       %aten_view_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_16, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7128478Z       %aten_view_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_17, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7129871Z       %aten_permute_copy_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_79, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7131538Z       %aten_index_put_default_8 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_4_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_80), kwargs = {})
2025-03-21T20:26:49.7133167Z       %aten_permute_copy_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7134593Z       %aten_permute_copy_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7136026Z       %aten_permute_copy_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7137453Z       %aten_permute_copy_default_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7138882Z       %aten_permute_copy_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7140311Z       %aten_permute_copy_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7141910Z       %aten_permute_copy_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7143372Z       %aten_permute_copy_default_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7144814Z       %aten_permute_copy_default_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7146249Z       %aten_permute_copy_default_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7147681Z       %aten_permute_copy_default_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7149111Z       %aten_permute_copy_default_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7150488Z       %aten_select_copy_int_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_171, 0, 0), kwargs = {})
2025-03-21T20:26:49.7151836Z       %aten_select_copy_int_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_172, 0, 0), kwargs = {})
2025-03-21T20:26:49.7153151Z       %aten_select_copy_int_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_173, 0, 0), kwargs = {})
2025-03-21T20:26:49.7154466Z       %aten_select_copy_int_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_174, 0, 0), kwargs = {})
2025-03-21T20:26:49.7155788Z       %aten_select_copy_int_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_175, 0, 0), kwargs = {})
2025-03-21T20:26:49.7157140Z       %aten_select_copy_int_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_176, 0, 0), kwargs = {})
2025-03-21T20:26:49.7158442Z       %aten_select_copy_int_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_177, 0, 0), kwargs = {})
2025-03-21T20:26:49.7159755Z       %aten_select_copy_int_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_178, 0, 0), kwargs = {})
2025-03-21T20:26:49.7161072Z       %aten_select_copy_int_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_179, 0, 0), kwargs = {})
2025-03-21T20:26:49.7161681Z       %aten_select_copy_int_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_180, 0, 0), kwargs = {})
2025-03-21T20:26:49.7162285Z       %aten_select_copy_int_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_181, 0, 0), kwargs = {})
2025-03-21T20:26:49.7162897Z       %aten_select_copy_int_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_182, 0, 0), kwargs = {})
2025-03-21T20:26:49.7163482Z       %aten_select_copy_int_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_192, 0, 0), kwargs = {})
2025-03-21T20:26:49.7164106Z       %aten_select_copy_int_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_194, 0, 1), kwargs = {})
2025-03-21T20:26:49.7164714Z       %aten_select_copy_int_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_196, 0, 2), kwargs = {})
2025-03-21T20:26:49.7165311Z       %aten_select_copy_int_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_198, 0, 3), kwargs = {})
2025-03-21T20:26:49.7165994Z       %aten_select_copy_int_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_200, 0, 4), kwargs = {})
2025-03-21T20:26:49.7166588Z       %aten_select_copy_int_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_202, 0, 5), kwargs = {})
2025-03-21T20:26:49.7167171Z       %aten_select_copy_int_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_204, 0, 6), kwargs = {})
2025-03-21T20:26:49.7167766Z       %aten_select_copy_int_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_206, 0, 7), kwargs = {})
2025-03-21T20:26:49.7168376Z       %aten_select_copy_int_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_208, 0, 8), kwargs = {})
2025-03-21T20:26:49.7168973Z       %aten_select_copy_int_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_210, 0, 9), kwargs = {})
2025-03-21T20:26:49.7169555Z       %aten_select_copy_int_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_212, 0, 10), kwargs = {})
2025-03-21T20:26:49.7170155Z       %aten_select_copy_int_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_214, 0, 11), kwargs = {})
2025-03-21T20:26:49.7171679Z       %aten_cat_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_193, %aten_select_copy_int_195, %aten_select_copy_int_197, %aten_select_copy_int_199, %aten_select_copy_int_201, %aten_select_copy_int_203, %aten_select_copy_int_205, %aten_select_copy_int_207, %aten_select_copy_int_209, %aten_select_copy_int_211, %aten_select_copy_int_213, %aten_select_copy_int_215],), kwargs = {})
2025-03-21T20:26:49.7172305Z       %aten_view_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_18, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7172970Z       %aten_permute_copy_default_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_81, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7173681Z       %aten_matmul_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_170, %aten_permute_copy_default_195), kwargs = {})
2025-03-21T20:26:49.7174292Z       %aten_mul_tensor_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_8, %_lifted_tensor_constant42), kwargs = {})
2025-03-21T20:26:49.7174879Z       %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_70, %aten_index_tensor_6), kwargs = {})
2025-03-21T20:26:49.7175475Z       %aten__softmax_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_22, -1, False), kwargs = {})
2025-03-21T20:26:49.7176434Z       %aten_matmul_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_4, %aten_view_copy_default_82), kwargs = {})
2025-03-21T20:26:49.7177089Z       %aten_permute_copy_default_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7177743Z       %aten_view_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_196, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7178394Z       %aten_unsqueeze_copy_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_89, -1), kwargs = {})
2025-03-21T20:26:49.7179086Z       %aten_permute_copy_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_51, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7179991Z       %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_197, %p_layers_4_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7180712Z       %aten_permute_copy_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_31, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7181390Z       %aten_squeeze_copy_dims_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_198, [-1]), kwargs = {})
2025-03-21T20:26:49.7181997Z       %aten_add_tensor_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_19, %aten_squeeze_copy_dims_51), kwargs = {})
2025-03-21T20:26:49.7182719Z       %aten_rms_norm_default_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_23, [768], %p_layers_4_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7183415Z       %aten_unsqueeze_copy_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_9, -1), kwargs = {})
2025-03-21T20:26:49.7184057Z       %aten_unsqueeze_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_9, -1), kwargs = {})
2025-03-21T20:26:49.7184756Z       %aten_permute_copy_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_52, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7185440Z       %aten_permute_copy_default_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_53, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7186368Z       %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_199, %p_layers_4_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7187270Z       %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_201, %p_layers_4_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7187946Z       %aten_permute_copy_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_32, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7188675Z       %aten_permute_copy_default_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7189309Z       %aten_squeeze_copy_dims_52 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_200, [-1]), kwargs = {})
2025-03-21T20:26:49.7189925Z       %aten_squeeze_copy_dims_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_202, [-1]), kwargs = {})
2025-03-21T20:26:49.7190523Z       %aten_sigmoid_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_52,), kwargs = {})
2025-03-21T20:26:49.7191138Z       %aten_mul_tensor_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_52, %aten_sigmoid_default_4), kwargs = {})
2025-03-21T20:26:49.7191745Z       %aten_mul_tensor_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_73, %aten_squeeze_copy_dims_53), kwargs = {})
2025-03-21T20:26:49.7192395Z       %aten_unsqueeze_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_74, -1), kwargs = {})
2025-03-21T20:26:49.7193088Z       %aten_permute_copy_default_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_54, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7193994Z       %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_203, %p_layers_4_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7194673Z       %aten_permute_copy_default_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_34, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7195313Z       %aten_squeeze_copy_dims_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_204, [-1]), kwargs = {})
2025-03-21T20:26:49.7195914Z       %aten_add_tensor_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_23, %aten_squeeze_copy_dims_54), kwargs = {})
2025-03-21T20:26:49.7196662Z       %aten_rms_norm_default_10 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_24, [768], %p_layers_5_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7197322Z       %aten_unsqueeze_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {})
2025-03-21T20:26:49.7197965Z       %aten_unsqueeze_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {})
2025-03-21T20:26:49.7198621Z       %aten_unsqueeze_copy_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {})
2025-03-21T20:26:49.7199304Z       %aten_permute_copy_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_55, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7200022Z       %aten_permute_copy_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_56, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7200724Z       %aten_permute_copy_default_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_57, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7201635Z       %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_205, %p_layers_5_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7202528Z       %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_207, %p_layers_5_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7203433Z       %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_209, %p_layers_5_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7204108Z       %aten_permute_copy_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_35, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7204826Z       %aten_permute_copy_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_36, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7205491Z       %aten_permute_copy_default_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_37, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7206127Z       %aten_squeeze_copy_dims_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_206, [-1]), kwargs = {})
2025-03-21T20:26:49.7206743Z       %aten_squeeze_copy_dims_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_208, [-1]), kwargs = {})
2025-03-21T20:26:49.7207398Z       %aten_squeeze_copy_dims_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_210, [-1]), kwargs = {})
2025-03-21T20:26:49.7208031Z       %aten_view_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_55, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7208675Z       %aten_view_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_56, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7209307Z       %aten_view_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_57, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7209959Z       %aten_view_copy_default_93 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_90, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7210602Z       %aten_view_copy_default_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_91, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7211466Z       %aten_index_put_default_11 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_5_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_92), kwargs = {})
2025-03-21T20:26:49.7212131Z       %aten_slice_copy_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_93, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7212755Z       %aten_slice_copy_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_93, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7213369Z       %aten_slice_copy_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_94, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7213989Z       %aten_slice_copy_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_94, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7214650Z       %aten_permute_copy_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7215328Z       %aten_permute_copy_default_225 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7215988Z       %aten_permute_copy_default_226 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7216691Z       %aten_permute_copy_default_227 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7217349Z       %aten_permute_copy_default_228 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7218020Z       %aten_permute_copy_default_229 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7218679Z       %aten_permute_copy_default_230 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7219374Z       %aten_permute_copy_default_231 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7220028Z       %aten_permute_copy_default_232 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7220706Z       %aten_permute_copy_default_233 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7221431Z       %aten_permute_copy_default_234 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7222104Z       %aten_permute_copy_default_235 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7222708Z       %aten_squeeze_copy_dims_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_20, [4]), kwargs = {})
2025-03-21T20:26:49.7223311Z       %aten_squeeze_copy_dims_59 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_21, [4]), kwargs = {})
2025-03-21T20:26:49.7224021Z       %aten_squeeze_copy_dims_60 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_22, [4]), kwargs = {})
2025-03-21T20:26:49.7224649Z       %aten_squeeze_copy_dims_61 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_23, [4]), kwargs = {})
2025-03-21T20:26:49.7225273Z       %aten_select_copy_int_264 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_224, 0, 0), kwargs = {})
2025-03-21T20:26:49.7225873Z       %aten_select_copy_int_266 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_225, 0, 0), kwargs = {})
2025-03-21T20:26:49.7226486Z       %aten_select_copy_int_268 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_226, 0, 0), kwargs = {})
2025-03-21T20:26:49.7227089Z       %aten_select_copy_int_270 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_227, 0, 0), kwargs = {})
2025-03-21T20:26:49.7227699Z       %aten_select_copy_int_272 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_228, 0, 0), kwargs = {})
2025-03-21T20:26:49.7228330Z       %aten_select_copy_int_274 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_229, 0, 0), kwargs = {})
2025-03-21T20:26:49.7228940Z       %aten_select_copy_int_276 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_230, 0, 0), kwargs = {})
2025-03-21T20:26:49.7229538Z       %aten_select_copy_int_278 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_231, 0, 0), kwargs = {})
2025-03-21T20:26:49.7230155Z       %aten_select_copy_int_280 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_232, 0, 0), kwargs = {})
2025-03-21T20:26:49.7230781Z       %aten_select_copy_int_282 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_233, 0, 0), kwargs = {})
2025-03-21T20:26:49.7231390Z       %aten_select_copy_int_284 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_234, 0, 0), kwargs = {})
2025-03-21T20:26:49.7231988Z       %aten_select_copy_int_286 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_235, 0, 0), kwargs = {})
2025-03-21T20:26:49.7232622Z       %aten_mul_tensor_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_58, %aten_view_copy_default_95), kwargs = {})
2025-03-21T20:26:49.7233245Z       %aten_mul_tensor_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_58, %aten_view_copy_default_96), kwargs = {})
2025-03-21T20:26:49.7233880Z       %aten_mul_tensor_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_59, %aten_view_copy_default_96), kwargs = {})
2025-03-21T20:26:49.7234499Z       %aten_mul_tensor_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_59, %aten_view_copy_default_95), kwargs = {})
2025-03-21T20:26:49.7235134Z       %aten_mul_tensor_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_60, %aten_view_copy_default_95), kwargs = {})
2025-03-21T20:26:49.7235802Z       %aten_mul_tensor_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_60, %aten_view_copy_default_96), kwargs = {})
2025-03-21T20:26:49.7236435Z       %aten_mul_tensor_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_61, %aten_view_copy_default_96), kwargs = {})
2025-03-21T20:26:49.7237057Z       %aten_mul_tensor_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_61, %aten_view_copy_default_95), kwargs = {})
2025-03-21T20:26:49.7237653Z       %aten_select_copy_int_265 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_264, 0, 0), kwargs = {})
2025-03-21T20:26:49.7238235Z       %aten_select_copy_int_267 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_266, 0, 1), kwargs = {})
2025-03-21T20:26:49.7238832Z       %aten_select_copy_int_269 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_268, 0, 2), kwargs = {})
2025-03-21T20:26:49.7239416Z       %aten_select_copy_int_271 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_270, 0, 3), kwargs = {})
2025-03-21T20:26:49.7240033Z       %aten_select_copy_int_273 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_272, 0, 4), kwargs = {})
2025-03-21T20:26:49.7240617Z       %aten_select_copy_int_275 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_274, 0, 5), kwargs = {})
2025-03-21T20:26:49.7241214Z       %aten_select_copy_int_277 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_276, 0, 6), kwargs = {})
2025-03-21T20:26:49.7241793Z       %aten_select_copy_int_279 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_278, 0, 7), kwargs = {})
2025-03-21T20:26:49.7242412Z       %aten_select_copy_int_281 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_280, 0, 8), kwargs = {})
2025-03-21T20:26:49.7242995Z       %aten_select_copy_int_283 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_282, 0, 9), kwargs = {})
2025-03-21T20:26:49.7243589Z       %aten_select_copy_int_285 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_284, 0, 10), kwargs = {})
2025-03-21T20:26:49.7244175Z       %aten_select_copy_int_287 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_286, 0, 11), kwargs = {})
2025-03-21T20:26:49.7244762Z       %aten_sub_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_77, %aten_mul_tensor_78), kwargs = {})
2025-03-21T20:26:49.7245338Z       %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_79, %aten_mul_tensor_80), kwargs = {})
2025-03-21T20:26:49.7245920Z       %aten_sub_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_81, %aten_mul_tensor_82), kwargs = {})
2025-03-21T20:26:49.7246487Z       %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_83, %aten_mul_tensor_84), kwargs = {})
2025-03-21T20:26:49.7248043Z       %aten_cat_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_265, %aten_select_copy_int_267, %aten_select_copy_int_269, %aten_select_copy_int_271, %aten_select_copy_int_273, %aten_select_copy_int_275, %aten_select_copy_int_277, %aten_select_copy_int_279, %aten_select_copy_int_281, %aten_select_copy_int_283, %aten_select_copy_int_285, %aten_select_copy_int_287],), kwargs = {})
2025-03-21T20:26:49.7248675Z       %aten_unsqueeze_copy_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_10, 4), kwargs = {})
2025-03-21T20:26:49.7249312Z       %aten_unsqueeze_copy_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_25, 4), kwargs = {})
2025-03-21T20:26:49.7249937Z       %aten_unsqueeze_copy_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_11, 4), kwargs = {})
2025-03-21T20:26:49.7250566Z       %aten_unsqueeze_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_26, 4), kwargs = {})
2025-03-21T20:26:49.7251211Z       %aten_view_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_23, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7251914Z       %aten_cat_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_58, %aten_unsqueeze_copy_default_59], -1), kwargs = {})
2025-03-21T20:26:49.7252600Z       %aten_cat_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_60, %aten_unsqueeze_copy_default_61], -1), kwargs = {})
2025-03-21T20:26:49.7253222Z       %aten_view_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_20, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7253828Z       %aten_view_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_21, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7254529Z       %aten_permute_copy_default_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_97, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7255387Z       %aten_index_put_default_10 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_5_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_98), kwargs = {})
2025-03-21T20:26:49.7256062Z       %aten_permute_copy_default_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7256722Z       %aten_permute_copy_default_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7257390Z       %aten_permute_copy_default_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7258044Z       %aten_permute_copy_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7258711Z       %aten_permute_copy_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7259417Z       %aten_permute_copy_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7260091Z       %aten_permute_copy_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7260751Z       %aten_permute_copy_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7261495Z       %aten_permute_copy_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7262154Z       %aten_permute_copy_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7262828Z       %aten_permute_copy_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7263519Z       %aten_permute_copy_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7264139Z       %aten_select_copy_int_240 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_212, 0, 0), kwargs = {})
2025-03-21T20:26:49.7264738Z       %aten_select_copy_int_242 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_213, 0, 0), kwargs = {})
2025-03-21T20:26:49.7265341Z       %aten_select_copy_int_244 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_214, 0, 0), kwargs = {})
2025-03-21T20:26:49.7265973Z       %aten_select_copy_int_246 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_215, 0, 0), kwargs = {})
2025-03-21T20:26:49.7266572Z       %aten_select_copy_int_248 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_216, 0, 0), kwargs = {})
2025-03-21T20:26:49.7267176Z       %aten_select_copy_int_250 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_217, 0, 0), kwargs = {})
2025-03-21T20:26:49.7267772Z       %aten_select_copy_int_252 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_218, 0, 0), kwargs = {})
2025-03-21T20:26:49.7268379Z       %aten_select_copy_int_254 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_219, 0, 0), kwargs = {})
2025-03-21T20:26:49.7268978Z       %aten_select_copy_int_256 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_220, 0, 0), kwargs = {})
2025-03-21T20:26:49.7269579Z       %aten_select_copy_int_258 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_221, 0, 0), kwargs = {})
2025-03-21T20:26:49.7270177Z       %aten_select_copy_int_260 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_222, 0, 0), kwargs = {})
2025-03-21T20:26:49.7270838Z       %aten_select_copy_int_262 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_223, 0, 0), kwargs = {})
2025-03-21T20:26:49.7271420Z       %aten_select_copy_int_241 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_240, 0, 0), kwargs = {})
2025-03-21T20:26:49.7272017Z       %aten_select_copy_int_243 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_242, 0, 1), kwargs = {})
2025-03-21T20:26:49.7272596Z       %aten_select_copy_int_245 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_244, 0, 2), kwargs = {})
2025-03-21T20:26:49.7273189Z       %aten_select_copy_int_247 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_246, 0, 3), kwargs = {})
2025-03-21T20:26:49.7273773Z       %aten_select_copy_int_249 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_248, 0, 4), kwargs = {})
2025-03-21T20:26:49.7274366Z       %aten_select_copy_int_251 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_250, 0, 5), kwargs = {})
2025-03-21T20:26:49.7274971Z       %aten_select_copy_int_253 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_252, 0, 6), kwargs = {})
2025-03-21T20:26:49.7275563Z       %aten_select_copy_int_255 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_254, 0, 7), kwargs = {})
2025-03-21T20:26:49.7276337Z       %aten_select_copy_int_257 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_256, 0, 8), kwargs = {})
2025-03-21T20:26:49.7276942Z       %aten_select_copy_int_259 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_258, 0, 9), kwargs = {})
2025-03-21T20:26:49.7277596Z       %aten_select_copy_int_261 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_260, 0, 10), kwargs = {})
2025-03-21T20:26:49.7278196Z       %aten_select_copy_int_263 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_262, 0, 11), kwargs = {})
2025-03-21T20:26:49.7279678Z       %aten_cat_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_241, %aten_select_copy_int_243, %aten_select_copy_int_245, %aten_select_copy_int_247, %aten_select_copy_int_249, %aten_select_copy_int_251, %aten_select_copy_int_253, %aten_select_copy_int_255, %aten_select_copy_int_257, %aten_select_copy_int_259, %aten_select_copy_int_261, %aten_select_copy_int_263],), kwargs = {})
2025-03-21T20:26:49.7280310Z       %aten_view_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_22, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7280978Z       %aten_permute_copy_default_236 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_99, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7281690Z       %aten_matmul_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_211, %aten_permute_copy_default_236), kwargs = {})
2025-03-21T20:26:49.7282305Z       %aten_mul_tensor_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_10, %_lifted_tensor_constant43), kwargs = {})
2025-03-21T20:26:49.7282962Z       %aten_add_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_85, %aten_index_tensor_7), kwargs = {})
2025-03-21T20:26:49.7283557Z       %aten__softmax_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_27, -1, False), kwargs = {})
2025-03-21T20:26:49.7284239Z       %aten_matmul_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_5, %aten_view_copy_default_100), kwargs = {})
2025-03-21T20:26:49.7284890Z       %aten_permute_copy_default_237 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7285543Z       %aten_view_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_237, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7286201Z       %aten_unsqueeze_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_107, -1), kwargs = {})
2025-03-21T20:26:49.7286934Z       %aten_permute_copy_default_238 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_62, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7287833Z       %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_238, %p_layers_5_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7288515Z       %aten_permute_copy_default_239 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_38, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7289132Z       %aten_squeeze_copy_dims_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_239, [-1]), kwargs = {})
2025-03-21T20:26:49.7289766Z       %aten_add_tensor_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_24, %aten_squeeze_copy_dims_62), kwargs = {})
2025-03-21T20:26:49.7290489Z       %aten_rms_norm_default_11 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_28, [768], %p_layers_5_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7291143Z       %aten_unsqueeze_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_11, -1), kwargs = {})
2025-03-21T20:26:49.7291792Z       %aten_unsqueeze_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_11, -1), kwargs = {})
2025-03-21T20:26:49.7292483Z       %aten_permute_copy_default_240 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_63, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7293167Z       %aten_permute_copy_default_242 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_64, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7294082Z       %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_240, %p_layers_5_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7295049Z       %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_242, %p_layers_5_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7295732Z       %aten_permute_copy_default_241 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_39, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7296403Z       %aten_permute_copy_default_243 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_40, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7297030Z       %aten_squeeze_copy_dims_63 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_241, [-1]), kwargs = {})
2025-03-21T20:26:49.7297647Z       %aten_squeeze_copy_dims_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_243, [-1]), kwargs = {})
2025-03-21T20:26:49.7298244Z       %aten_sigmoid_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_63,), kwargs = {})
2025-03-21T20:26:49.7298890Z       %aten_mul_tensor_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_63, %aten_sigmoid_default_5), kwargs = {})
2025-03-21T20:26:49.7299497Z       %aten_mul_tensor_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_88, %aten_squeeze_copy_dims_64), kwargs = {})
2025-03-21T20:26:49.7300125Z       %aten_unsqueeze_copy_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_89, -1), kwargs = {})
2025-03-21T20:26:49.7300825Z       %aten_permute_copy_default_244 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_65, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7301814Z       %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_244, %p_layers_5_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7302501Z       %aten_permute_copy_default_245 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7303115Z       %aten_squeeze_copy_dims_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_245, [-1]), kwargs = {})
2025-03-21T20:26:49.7303724Z       %aten_add_tensor_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_28, %aten_squeeze_copy_dims_65), kwargs = {})
2025-03-21T20:26:49.7304478Z       %aten_rms_norm_default_12 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_29, [768], %p_layers_6_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7305140Z       %aten_unsqueeze_copy_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {})
2025-03-21T20:26:49.7305787Z       %aten_unsqueeze_copy_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {})
2025-03-21T20:26:49.7306476Z       %aten_unsqueeze_copy_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {})
2025-03-21T20:26:49.7307194Z       %aten_permute_copy_default_246 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_66, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7307892Z       %aten_permute_copy_default_248 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_67, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7308564Z       %aten_permute_copy_default_250 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_68, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7309481Z       %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_246, %p_layers_6_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7310376Z       %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_248, %p_layers_6_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7311302Z       %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_250, %p_layers_6_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7311967Z       %aten_permute_copy_default_247 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_42, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7312724Z       %aten_permute_copy_default_249 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_43, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7313394Z       %aten_permute_copy_default_251 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_44, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7314061Z       %aten_squeeze_copy_dims_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_247, [-1]), kwargs = {})
2025-03-21T20:26:49.7314674Z       %aten_squeeze_copy_dims_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_249, [-1]), kwargs = {})
2025-03-21T20:26:49.7315299Z       %aten_squeeze_copy_dims_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_251, [-1]), kwargs = {})
2025-03-21T20:26:49.7315936Z       %aten_view_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_66, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7316579Z       %aten_view_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_67, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7317218Z       %aten_view_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_68, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7317874Z       %aten_view_copy_default_111 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_108, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7318544Z       %aten_view_copy_default_112 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_109, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7319442Z       %aten_index_put_default_13 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_6_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_110), kwargs = {})
2025-03-21T20:26:49.7320061Z       %aten_slice_copy_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_111, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7320681Z       %aten_slice_copy_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_111, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7321290Z       %aten_slice_copy_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_112, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7321921Z       %aten_slice_copy_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_112, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7322585Z       %aten_permute_copy_default_265 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7323287Z       %aten_permute_copy_default_266 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7323947Z       %aten_permute_copy_default_267 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7324616Z       %aten_permute_copy_default_268 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7325275Z       %aten_permute_copy_default_269 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7325974Z       %aten_permute_copy_default_270 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7326625Z       %aten_permute_copy_default_271 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7327294Z       %aten_permute_copy_default_272 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7327957Z       %aten_permute_copy_default_273 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7328634Z       %aten_permute_copy_default_274 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7329291Z       %aten_permute_copy_default_275 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7329960Z       %aten_permute_copy_default_276 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7330614Z       %aten_squeeze_copy_dims_69 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_24, [4]), kwargs = {})
2025-03-21T20:26:49.7331233Z       %aten_squeeze_copy_dims_70 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_25, [4]), kwargs = {})
2025-03-21T20:26:49.7331836Z       %aten_squeeze_copy_dims_71 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_26, [4]), kwargs = {})
2025-03-21T20:26:49.7332446Z       %aten_squeeze_copy_dims_72 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_27, [4]), kwargs = {})
2025-03-21T20:26:49.7333044Z       %aten_select_copy_int_312 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_265, 0, 0), kwargs = {})
2025-03-21T20:26:49.7333656Z       %aten_select_copy_int_314 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_266, 0, 0), kwargs = {})
2025-03-21T20:26:49.7334254Z       %aten_select_copy_int_316 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_267, 0, 0), kwargs = {})
2025-03-21T20:26:49.7334890Z       %aten_select_copy_int_318 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_268, 0, 0), kwargs = {})
2025-03-21T20:26:49.7335485Z       %aten_select_copy_int_320 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_269, 0, 0), kwargs = {})
2025-03-21T20:26:49.7336101Z       %aten_select_copy_int_322 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_270, 0, 0), kwargs = {})
2025-03-21T20:26:49.7336702Z       %aten_select_copy_int_324 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_271, 0, 0), kwargs = {})
2025-03-21T20:26:49.7337347Z       %aten_select_copy_int_326 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_272, 0, 0), kwargs = {})
2025-03-21T20:26:49.7337942Z       %aten_select_copy_int_328 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_273, 0, 0), kwargs = {})
2025-03-21T20:26:49.7338542Z       %aten_select_copy_int_330 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_274, 0, 0), kwargs = {})
2025-03-21T20:26:49.7339152Z       %aten_select_copy_int_332 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_275, 0, 0), kwargs = {})
2025-03-21T20:26:49.7339748Z       %aten_select_copy_int_334 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_276, 0, 0), kwargs = {})
2025-03-21T20:26:49.7340390Z       %aten_mul_tensor_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_69, %aten_view_copy_default_113), kwargs = {})
2025-03-21T20:26:49.7341014Z       %aten_mul_tensor_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_69, %aten_view_copy_default_114), kwargs = {})
2025-03-21T20:26:49.7341695Z       %aten_mul_tensor_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_70, %aten_view_copy_default_114), kwargs = {})
2025-03-21T20:26:49.7342372Z       %aten_mul_tensor_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_70, %aten_view_copy_default_113), kwargs = {})
2025-03-21T20:26:49.7343009Z       %aten_mul_tensor_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_71, %aten_view_copy_default_113), kwargs = {})
2025-03-21T20:26:49.7343637Z       %aten_mul_tensor_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_71, %aten_view_copy_default_114), kwargs = {})
2025-03-21T20:26:49.7344271Z       %aten_mul_tensor_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_72, %aten_view_copy_default_114), kwargs = {})
2025-03-21T20:26:49.7344891Z       %aten_mul_tensor_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_72, %aten_view_copy_default_113), kwargs = {})
2025-03-21T20:26:49.7345484Z       %aten_select_copy_int_313 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_312, 0, 0), kwargs = {})
2025-03-21T20:26:49.7346095Z       %aten_select_copy_int_315 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_314, 0, 1), kwargs = {})
2025-03-21T20:26:49.7346690Z       %aten_select_copy_int_317 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_316, 0, 2), kwargs = {})
2025-03-21T20:26:49.7347270Z       %aten_select_copy_int_319 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_318, 0, 3), kwargs = {})
2025-03-21T20:26:49.7347866Z       %aten_select_copy_int_321 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_320, 0, 4), kwargs = {})
2025-03-21T20:26:49.7348448Z       %aten_select_copy_int_323 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_322, 0, 5), kwargs = {})
2025-03-21T20:26:49.7349073Z       %aten_select_copy_int_325 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_324, 0, 6), kwargs = {})
2025-03-21T20:26:49.7349656Z       %aten_select_copy_int_327 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_326, 0, 7), kwargs = {})
2025-03-21T20:26:49.7350248Z       %aten_select_copy_int_329 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_328, 0, 8), kwargs = {})
2025-03-21T20:26:49.7350833Z       %aten_select_copy_int_331 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_330, 0, 9), kwargs = {})
2025-03-21T20:26:49.7351425Z       %aten_select_copy_int_333 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_332, 0, 10), kwargs = {})
2025-03-21T20:26:49.7352010Z       %aten_select_copy_int_335 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_334, 0, 11), kwargs = {})
2025-03-21T20:26:49.7352596Z       %aten_sub_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_92, %aten_mul_tensor_93), kwargs = {})
2025-03-21T20:26:49.7353168Z       %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_94, %aten_mul_tensor_95), kwargs = {})
2025-03-21T20:26:49.7353806Z       %aten_sub_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_96, %aten_mul_tensor_97), kwargs = {})
2025-03-21T20:26:49.7354373Z       %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_98, %aten_mul_tensor_99), kwargs = {})
2025-03-21T20:26:49.7355866Z       %aten_cat_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_313, %aten_select_copy_int_315, %aten_select_copy_int_317, %aten_select_copy_int_319, %aten_select_copy_int_321, %aten_select_copy_int_323, %aten_select_copy_int_325, %aten_select_copy_int_327, %aten_select_copy_int_329, %aten_select_copy_int_331, %aten_select_copy_int_333, %aten_select_copy_int_335],), kwargs = {})
2025-03-21T20:26:49.7356497Z       %aten_unsqueeze_copy_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_12, 4), kwargs = {})
2025-03-21T20:26:49.7357135Z       %aten_unsqueeze_copy_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_30, 4), kwargs = {})
2025-03-21T20:26:49.7357781Z       %aten_unsqueeze_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_13, 4), kwargs = {})
2025-03-21T20:26:49.7358412Z       %aten_unsqueeze_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_31, 4), kwargs = {})
2025-03-21T20:26:49.7359029Z       %aten_view_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_27, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7359735Z       %aten_cat_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_69, %aten_unsqueeze_copy_default_70], -1), kwargs = {})
2025-03-21T20:26:49.7360423Z       %aten_cat_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_71, %aten_unsqueeze_copy_default_72], -1), kwargs = {})
2025-03-21T20:26:49.7361079Z       %aten_view_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_24, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7361690Z       %aten_view_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_25, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7362366Z       %aten_permute_copy_default_252 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_115, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7363227Z       %aten_index_put_default_12 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_6_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_116), kwargs = {})
2025-03-21T20:26:49.7363905Z       %aten_permute_copy_default_253 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7364564Z       %aten_permute_copy_default_254 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7365232Z       %aten_permute_copy_default_255 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7365933Z       %aten_permute_copy_default_256 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7366603Z       %aten_permute_copy_default_257 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7367259Z       %aten_permute_copy_default_258 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7367921Z       %aten_permute_copy_default_259 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7368582Z       %aten_permute_copy_default_260 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7369246Z       %aten_permute_copy_default_261 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7369931Z       %aten_permute_copy_default_262 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7370598Z       %aten_permute_copy_default_263 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7371257Z       %aten_permute_copy_default_264 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7371868Z       %aten_select_copy_int_288 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_253, 0, 0), kwargs = {})
2025-03-21T20:26:49.7372495Z       %aten_select_copy_int_290 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_254, 0, 0), kwargs = {})
2025-03-21T20:26:49.7373107Z       %aten_select_copy_int_292 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_255, 0, 0), kwargs = {})
2025-03-21T20:26:49.7373705Z       %aten_select_copy_int_294 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_256, 0, 0), kwargs = {})
2025-03-21T20:26:49.7374318Z       %aten_select_copy_int_296 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_257, 0, 0), kwargs = {})
2025-03-21T20:26:49.7374917Z       %aten_select_copy_int_298 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_258, 0, 0), kwargs = {})
2025-03-21T20:26:49.7375529Z       %aten_select_copy_int_300 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_259, 0, 0), kwargs = {})
2025-03-21T20:26:49.7376362Z       %aten_select_copy_int_302 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_260, 0, 0), kwargs = {})
2025-03-21T20:26:49.7376979Z       %aten_select_copy_int_304 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_261, 0, 0), kwargs = {})
2025-03-21T20:26:49.7377674Z       %aten_select_copy_int_306 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_262, 0, 0), kwargs = {})
2025-03-21T20:26:49.7378285Z       %aten_select_copy_int_308 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_263, 0, 0), kwargs = {})
2025-03-21T20:26:49.7378891Z       %aten_select_copy_int_310 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_264, 0, 0), kwargs = {})
2025-03-21T20:26:49.7379487Z       %aten_select_copy_int_289 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_288, 0, 0), kwargs = {})
2025-03-21T20:26:49.7380069Z       %aten_select_copy_int_291 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_290, 0, 1), kwargs = {})
2025-03-21T20:26:49.7380654Z       %aten_select_copy_int_293 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_292, 0, 2), kwargs = {})
2025-03-21T20:26:49.7381306Z       %aten_select_copy_int_295 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_294, 0, 3), kwargs = {})
2025-03-21T20:26:49.7381939Z       %aten_select_copy_int_297 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_296, 0, 4), kwargs = {})
2025-03-21T20:26:49.7382538Z       %aten_select_copy_int_299 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_298, 0, 5), kwargs = {})
2025-03-21T20:26:49.7383121Z       %aten_select_copy_int_301 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_300, 0, 6), kwargs = {})
2025-03-21T20:26:49.7383713Z       %aten_select_copy_int_303 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_302, 0, 7), kwargs = {})
2025-03-21T20:26:49.7384323Z       %aten_select_copy_int_305 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_304, 0, 8), kwargs = {})
2025-03-21T20:26:49.7384916Z       %aten_select_copy_int_307 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_306, 0, 9), kwargs = {})
2025-03-21T20:26:49.7385498Z       %aten_select_copy_int_309 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_308, 0, 10), kwargs = {})
2025-03-21T20:26:49.7386092Z       %aten_select_copy_int_311 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_310, 0, 11), kwargs = {})
2025-03-21T20:26:49.7387562Z       %aten_cat_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_289, %aten_select_copy_int_291, %aten_select_copy_int_293, %aten_select_copy_int_295, %aten_select_copy_int_297, %aten_select_copy_int_299, %aten_select_copy_int_301, %aten_select_copy_int_303, %aten_select_copy_int_305, %aten_select_copy_int_307, %aten_select_copy_int_309, %aten_select_copy_int_311],), kwargs = {})
2025-03-21T20:26:49.7388194Z       %aten_view_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_26, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7388854Z       %aten_permute_copy_default_277 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_117, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7389608Z       %aten_matmul_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_252, %aten_permute_copy_default_277), kwargs = {})
2025-03-21T20:26:49.7390225Z       %aten_mul_tensor_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_12, %_lifted_tensor_constant44), kwargs = {})
2025-03-21T20:26:49.7390814Z       %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_100, %aten_index_tensor_8), kwargs = {})
2025-03-21T20:26:49.7391410Z       %aten__softmax_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_32, -1, False), kwargs = {})
2025-03-21T20:26:49.7392084Z       %aten_matmul_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_6, %aten_view_copy_default_118), kwargs = {})
2025-03-21T20:26:49.7392734Z       %aten_permute_copy_default_278 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7393403Z       %aten_view_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_278, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7394055Z       %aten_unsqueeze_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_125, -1), kwargs = {})
2025-03-21T20:26:49.7394744Z       %aten_permute_copy_default_279 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_73, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7395642Z       %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_279, %p_layers_6_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7396345Z       %aten_permute_copy_default_280 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7396957Z       %aten_squeeze_copy_dims_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_280, [-1]), kwargs = {})
2025-03-21T20:26:49.7397557Z       %aten_add_tensor_33 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_29, %aten_squeeze_copy_dims_73), kwargs = {})
2025-03-21T20:26:49.7398278Z       %aten_rms_norm_default_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_33, [768], %p_layers_6_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7398931Z       %aten_unsqueeze_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_13, -1), kwargs = {})
2025-03-21T20:26:49.7399572Z       %aten_unsqueeze_copy_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_13, -1), kwargs = {})
2025-03-21T20:26:49.7400262Z       %aten_permute_copy_default_281 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_74, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7400965Z       %aten_permute_copy_default_283 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_75, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7401903Z       %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_281, %p_layers_6_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7402806Z       %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_283, %p_layers_6_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7403484Z       %aten_permute_copy_default_282 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_46, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7404150Z       %aten_permute_copy_default_284 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_47, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7404772Z       %aten_squeeze_copy_dims_74 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_282, [-1]), kwargs = {})
2025-03-21T20:26:49.7405415Z       %aten_squeeze_copy_dims_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_284, [-1]), kwargs = {})
2025-03-21T20:26:49.7406012Z       %aten_sigmoid_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_74,), kwargs = {})
2025-03-21T20:26:49.7406629Z       %aten_mul_tensor_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_74, %aten_sigmoid_default_6), kwargs = {})
2025-03-21T20:26:49.7407243Z       %aten_mul_tensor_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_103, %aten_squeeze_copy_dims_75), kwargs = {})
2025-03-21T20:26:49.7407957Z       %aten_unsqueeze_copy_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_104, -1), kwargs = {})
2025-03-21T20:26:49.7408643Z       %aten_permute_copy_default_285 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_76, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7409544Z       %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_285, %p_layers_6_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7410229Z       %aten_permute_copy_default_286 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_48, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7410841Z       %aten_squeeze_copy_dims_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_286, [-1]), kwargs = {})
2025-03-21T20:26:49.7411444Z       %aten_add_tensor_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_33, %aten_squeeze_copy_dims_76), kwargs = {})
2025-03-21T20:26:49.7412188Z       %aten_rms_norm_default_14 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_34, [768], %p_layers_7_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7412875Z       %aten_unsqueeze_copy_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {})
2025-03-21T20:26:49.7413625Z       %aten_unsqueeze_copy_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {})
2025-03-21T20:26:49.7414285Z       %aten_unsqueeze_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {})
2025-03-21T20:26:49.7414964Z       %aten_permute_copy_default_287 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_77, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7415653Z       %aten_permute_copy_default_289 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_78, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7416334Z       %aten_permute_copy_default_291 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_79, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7417286Z       %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_287, %p_layers_7_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7418182Z       %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_289, %p_layers_7_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7419087Z       %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_291, %p_layers_7_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7419758Z       %aten_permute_copy_default_288 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_49, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7420474Z       %aten_permute_copy_default_290 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_50, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7421136Z       %aten_permute_copy_default_292 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_51, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7421830Z       %aten_squeeze_copy_dims_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_288, [-1]), kwargs = {})
2025-03-21T20:26:49.7422448Z       %aten_squeeze_copy_dims_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_290, [-1]), kwargs = {})
2025-03-21T20:26:49.7423072Z       %aten_squeeze_copy_dims_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_292, [-1]), kwargs = {})
2025-03-21T20:26:49.7423705Z       %aten_view_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_77, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7424348Z       %aten_view_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_78, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7425009Z       %aten_view_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_79, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7425707Z       %aten_view_copy_default_129 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_126, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7426349Z       %aten_view_copy_default_130 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_127, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7427215Z       %aten_index_put_default_15 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_7_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_128), kwargs = {})
2025-03-21T20:26:49.7427826Z       %aten_slice_copy_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_129, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7428447Z       %aten_slice_copy_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_129, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7429090Z       %aten_slice_copy_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_130, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7429708Z       %aten_slice_copy_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_130, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7430368Z       %aten_permute_copy_default_306 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7431037Z       %aten_permute_copy_default_307 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7431690Z       %aten_permute_copy_default_308 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7432390Z       %aten_permute_copy_default_309 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7433041Z       %aten_permute_copy_default_310 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7433713Z       %aten_permute_copy_default_311 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7434369Z       %aten_permute_copy_default_312 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7435043Z       %aten_permute_copy_default_313 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7435699Z       %aten_permute_copy_default_314 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7436369Z       %aten_permute_copy_default_315 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7437079Z       %aten_permute_copy_default_316 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7437744Z       %aten_permute_copy_default_317 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7438350Z       %aten_squeeze_copy_dims_80 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_28, [4]), kwargs = {})
2025-03-21T20:26:49.7438966Z       %aten_squeeze_copy_dims_81 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_29, [4]), kwargs = {})
2025-03-21T20:26:49.7439562Z       %aten_squeeze_copy_dims_82 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_30, [4]), kwargs = {})
2025-03-21T20:26:49.7440177Z       %aten_squeeze_copy_dims_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_31, [4]), kwargs = {})
2025-03-21T20:26:49.7440778Z       %aten_select_copy_int_360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_306, 0, 0), kwargs = {})
2025-03-21T20:26:49.7441416Z       %aten_select_copy_int_362 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_307, 0, 0), kwargs = {})
2025-03-21T20:26:49.7442009Z       %aten_select_copy_int_364 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_308, 0, 0), kwargs = {})
2025-03-21T20:26:49.7442617Z       %aten_select_copy_int_366 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_309, 0, 0), kwargs = {})
2025-03-21T20:26:49.7443215Z       %aten_select_copy_int_368 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_310, 0, 0), kwargs = {})
2025-03-21T20:26:49.7443848Z       %aten_select_copy_int_370 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_311, 0, 0), kwargs = {})
2025-03-21T20:26:49.7444439Z       %aten_select_copy_int_372 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_312, 0, 0), kwargs = {})
2025-03-21T20:26:49.7445047Z       %aten_select_copy_int_374 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_313, 0, 0), kwargs = {})
2025-03-21T20:26:49.7445645Z       %aten_select_copy_int_376 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_314, 0, 0), kwargs = {})
2025-03-21T20:26:49.7446253Z       %aten_select_copy_int_378 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_315, 0, 0), kwargs = {})
2025-03-21T20:26:49.7446853Z       %aten_select_copy_int_380 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_316, 0, 0), kwargs = {})
2025-03-21T20:26:49.7447459Z       %aten_select_copy_int_382 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_317, 0, 0), kwargs = {})
2025-03-21T20:26:49.7448090Z       %aten_mul_tensor_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_80, %aten_view_copy_default_131), kwargs = {})
2025-03-21T20:26:49.7448787Z       %aten_mul_tensor_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_80, %aten_view_copy_default_132), kwargs = {})
2025-03-21T20:26:49.7449415Z       %aten_mul_tensor_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_81, %aten_view_copy_default_132), kwargs = {})
2025-03-21T20:26:49.7450052Z       %aten_mul_tensor_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_81, %aten_view_copy_default_131), kwargs = {})
2025-03-21T20:26:49.7450677Z       %aten_mul_tensor_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_82, %aten_view_copy_default_131), kwargs = {})
2025-03-21T20:26:49.7451315Z       %aten_mul_tensor_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_82, %aten_view_copy_default_132), kwargs = {})
2025-03-21T20:26:49.7451939Z       %aten_mul_tensor_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_83, %aten_view_copy_default_132), kwargs = {})
2025-03-21T20:26:49.7452611Z       %aten_mul_tensor_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_83, %aten_view_copy_default_131), kwargs = {})
2025-03-21T20:26:49.7453192Z       %aten_select_copy_int_361 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_360, 0, 0), kwargs = {})
2025-03-21T20:26:49.7453782Z       %aten_select_copy_int_363 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_362, 0, 1), kwargs = {})
2025-03-21T20:26:49.7454362Z       %aten_select_copy_int_365 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_364, 0, 2), kwargs = {})
2025-03-21T20:26:49.7454950Z       %aten_select_copy_int_367 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_366, 0, 3), kwargs = {})
2025-03-21T20:26:49.7455562Z       %aten_select_copy_int_369 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_368, 0, 4), kwargs = {})
2025-03-21T20:26:49.7456138Z       %aten_select_copy_int_371 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_370, 0, 5), kwargs = {})
2025-03-21T20:26:49.7456727Z       %aten_select_copy_int_373 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_372, 0, 6), kwargs = {})
2025-03-21T20:26:49.7457306Z       %aten_select_copy_int_375 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_374, 0, 7), kwargs = {})
2025-03-21T20:26:49.7457896Z       %aten_select_copy_int_377 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_376, 0, 8), kwargs = {})
2025-03-21T20:26:49.7458474Z       %aten_select_copy_int_379 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_378, 0, 9), kwargs = {})
2025-03-21T20:26:49.7459068Z       %aten_select_copy_int_381 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_380, 0, 10), kwargs = {})
2025-03-21T20:26:49.7459679Z       %aten_select_copy_int_383 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_382, 0, 11), kwargs = {})
2025-03-21T20:26:49.7460313Z       %aten_sub_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_107, %aten_mul_tensor_108), kwargs = {})
2025-03-21T20:26:49.7460885Z       %aten_add_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_109, %aten_mul_tensor_110), kwargs = {})
2025-03-21T20:26:49.7461541Z       %aten_sub_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_111, %aten_mul_tensor_112), kwargs = {})
2025-03-21T20:26:49.7462111Z       %aten_add_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_113, %aten_mul_tensor_114), kwargs = {})
2025-03-21T20:26:49.7463600Z       %aten_cat_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_361, %aten_select_copy_int_363, %aten_select_copy_int_365, %aten_select_copy_int_367, %aten_select_copy_int_369, %aten_select_copy_int_371, %aten_select_copy_int_373, %aten_select_copy_int_375, %aten_select_copy_int_377, %aten_select_copy_int_379, %aten_select_copy_int_381, %aten_select_copy_int_383],), kwargs = {})
2025-03-21T20:26:49.7464256Z       %aten_unsqueeze_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_14, 4), kwargs = {})
2025-03-21T20:26:49.7464893Z       %aten_unsqueeze_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_35, 4), kwargs = {})
2025-03-21T20:26:49.7465513Z       %aten_unsqueeze_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_15, 4), kwargs = {})
2025-03-21T20:26:49.7466149Z       %aten_unsqueeze_copy_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_36, 4), kwargs = {})
2025-03-21T20:26:49.7466784Z       %aten_view_copy_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_31, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7467488Z       %aten_cat_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_80, %aten_unsqueeze_copy_default_81], -1), kwargs = {})
2025-03-21T20:26:49.7468175Z       %aten_cat_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_82, %aten_unsqueeze_copy_default_83], -1), kwargs = {})
2025-03-21T20:26:49.7468800Z       %aten_view_copy_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_28, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7469411Z       %aten_view_copy_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_29, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7470086Z       %aten_permute_copy_default_293 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_133, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7470940Z       %aten_index_put_default_14 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_7_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_134), kwargs = {})
2025-03-21T20:26:49.7471648Z       %aten_permute_copy_default_294 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7472326Z       %aten_permute_copy_default_295 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7472996Z       %aten_permute_copy_default_296 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7473649Z       %aten_permute_copy_default_297 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7474315Z       %aten_permute_copy_default_298 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7474974Z       %aten_permute_copy_default_299 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7475787Z       %aten_permute_copy_default_300 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7476502Z       %aten_permute_copy_default_301 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7477172Z       %aten_permute_copy_default_302 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7477828Z       %aten_permute_copy_default_303 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7478494Z       %aten_permute_copy_default_304 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7479186Z       %aten_permute_copy_default_305 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7479795Z       %aten_select_copy_int_336 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_294, 0, 0), kwargs = {})
2025-03-21T20:26:49.7480391Z       %aten_select_copy_int_338 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_295, 0, 0), kwargs = {})
2025-03-21T20:26:49.7481001Z       %aten_select_copy_int_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_296, 0, 0), kwargs = {})
2025-03-21T20:26:49.7481596Z       %aten_select_copy_int_342 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_297, 0, 0), kwargs = {})
2025-03-21T20:26:49.7482206Z       %aten_select_copy_int_344 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_298, 0, 0), kwargs = {})
2025-03-21T20:26:49.7482798Z       %aten_select_copy_int_346 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_299, 0, 0), kwargs = {})
2025-03-21T20:26:49.7483403Z       %aten_select_copy_int_348 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_300, 0, 0), kwargs = {})
2025-03-21T20:26:49.7484064Z       %aten_select_copy_int_350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_301, 0, 0), kwargs = {})
2025-03-21T20:26:49.7484674Z       %aten_select_copy_int_352 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_302, 0, 0), kwargs = {})
2025-03-21T20:26:49.7485270Z       %aten_select_copy_int_354 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_303, 0, 0), kwargs = {})
2025-03-21T20:26:49.7485877Z       %aten_select_copy_int_356 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_304, 0, 0), kwargs = {})
2025-03-21T20:26:49.7486471Z       %aten_select_copy_int_358 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_305, 0, 0), kwargs = {})
2025-03-21T20:26:49.7487064Z       %aten_select_copy_int_337 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_336, 0, 0), kwargs = {})
2025-03-21T20:26:49.7487669Z       %aten_select_copy_int_339 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_338, 0, 1), kwargs = {})
2025-03-21T20:26:49.7488265Z       %aten_select_copy_int_341 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_340, 0, 2), kwargs = {})
2025-03-21T20:26:49.7488844Z       %aten_select_copy_int_343 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_342, 0, 3), kwargs = {})
2025-03-21T20:26:49.7489436Z       %aten_select_copy_int_345 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_344, 0, 4), kwargs = {})
2025-03-21T20:26:49.7490012Z       %aten_select_copy_int_347 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_346, 0, 5), kwargs = {})
2025-03-21T20:26:49.7490633Z       %aten_select_copy_int_349 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_348, 0, 6), kwargs = {})
2025-03-21T20:26:49.7491211Z       %aten_select_copy_int_351 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_350, 0, 7), kwargs = {})
2025-03-21T20:26:49.7491802Z       %aten_select_copy_int_353 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_352, 0, 8), kwargs = {})
2025-03-21T20:26:49.7492381Z       %aten_select_copy_int_355 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_354, 0, 9), kwargs = {})
2025-03-21T20:26:49.7492977Z       %aten_select_copy_int_357 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_356, 0, 10), kwargs = {})
2025-03-21T20:26:49.7493560Z       %aten_select_copy_int_359 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_358, 0, 11), kwargs = {})
2025-03-21T20:26:49.7495073Z       %aten_cat_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_337, %aten_select_copy_int_339, %aten_select_copy_int_341, %aten_select_copy_int_343, %aten_select_copy_int_345, %aten_select_copy_int_347, %aten_select_copy_int_349, %aten_select_copy_int_351, %aten_select_copy_int_353, %aten_select_copy_int_355, %aten_select_copy_int_357, %aten_select_copy_int_359],), kwargs = {})
2025-03-21T20:26:49.7495717Z       %aten_view_copy_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_30, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7496390Z       %aten_permute_copy_default_318 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_135, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7497083Z       %aten_matmul_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_293, %aten_permute_copy_default_318), kwargs = {})
2025-03-21T20:26:49.7497712Z       %aten_mul_tensor_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_14, %_lifted_tensor_constant45), kwargs = {})
2025-03-21T20:26:49.7498299Z       %aten_add_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_115, %aten_index_tensor_9), kwargs = {})
2025-03-21T20:26:49.7498896Z       %aten__softmax_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_37, -1, False), kwargs = {})
2025-03-21T20:26:49.7499585Z       %aten_matmul_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_7, %aten_view_copy_default_136), kwargs = {})
2025-03-21T20:26:49.7500245Z       %aten_permute_copy_default_319 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7500882Z       %aten_view_copy_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_319, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7501622Z       %aten_unsqueeze_copy_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_143, -1), kwargs = {})
2025-03-21T20:26:49.7502354Z       %aten_permute_copy_default_320 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_84, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7503265Z       %aten_convolution_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_320, %p_layers_7_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7503931Z       %aten_permute_copy_default_321 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_52, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7504562Z       %aten_squeeze_copy_dims_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_321, [-1]), kwargs = {})
2025-03-21T20:26:49.7505153Z       %aten_add_tensor_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_34, %aten_squeeze_copy_dims_84), kwargs = {})
2025-03-21T20:26:49.7505887Z       %aten_rms_norm_default_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_38, [768], %p_layers_7_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7506527Z       %aten_unsqueeze_copy_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_15, -1), kwargs = {})
2025-03-21T20:26:49.7507212Z       %aten_unsqueeze_copy_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_15, -1), kwargs = {})
2025-03-21T20:26:49.7507920Z       %aten_permute_copy_default_322 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_85, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7508614Z       %aten_permute_copy_default_324 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_86, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7509519Z       %aten_convolution_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_322, %p_layers_7_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7510430Z       %aten_convolution_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_324, %p_layers_7_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7511100Z       %aten_permute_copy_default_323 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_53, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7511803Z       %aten_permute_copy_default_325 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_54, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7512420Z       %aten_squeeze_copy_dims_85 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_323, [-1]), kwargs = {})
2025-03-21T20:26:49.7513042Z       %aten_squeeze_copy_dims_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_325, [-1]), kwargs = {})
2025-03-21T20:26:49.7513624Z       %aten_sigmoid_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_85,), kwargs = {})
2025-03-21T20:26:49.7514289Z       %aten_mul_tensor_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_85, %aten_sigmoid_default_7), kwargs = {})
2025-03-21T20:26:49.7514886Z       %aten_mul_tensor_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_118, %aten_squeeze_copy_dims_86), kwargs = {})
2025-03-21T20:26:49.7515520Z       %aten_unsqueeze_copy_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_119, -1), kwargs = {})
2025-03-21T20:26:49.7516198Z       %aten_permute_copy_default_326 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_87, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7517112Z       %aten_convolution_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_326, %p_layers_7_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7517784Z       %aten_permute_copy_default_327 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_55, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7518409Z       %aten_squeeze_copy_dims_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_327, [-1]), kwargs = {})
2025-03-21T20:26:49.7519023Z       %aten_add_tensor_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_38, %aten_squeeze_copy_dims_87), kwargs = {})
2025-03-21T20:26:49.7519805Z       %aten_rms_norm_default_16 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_39, [768], %p_layers_8_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7520452Z       %aten_unsqueeze_copy_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {})
2025-03-21T20:26:49.7521097Z       %aten_unsqueeze_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {})
2025-03-21T20:26:49.7521737Z       %aten_unsqueeze_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {})
2025-03-21T20:26:49.7522435Z       %aten_permute_copy_default_328 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_88, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7523137Z       %aten_permute_copy_default_330 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_89, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7523827Z       %aten_permute_copy_default_332 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_90, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7524725Z       %aten_convolution_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_328, %p_layers_8_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7525637Z       %aten_convolution_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_330, %p_layers_8_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7526551Z       %aten_convolution_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_332, %p_layers_8_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7527229Z       %aten_permute_copy_default_329 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_56, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7527894Z       %aten_permute_copy_default_331 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_57, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7528573Z       %aten_permute_copy_default_333 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_58, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7529188Z       %aten_squeeze_copy_dims_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_329, [-1]), kwargs = {})
2025-03-21T20:26:49.7529813Z       %aten_squeeze_copy_dims_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_331, [-1]), kwargs = {})
2025-03-21T20:26:49.7530422Z       %aten_squeeze_copy_dims_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_333, [-1]), kwargs = {})
2025-03-21T20:26:49.7531091Z       %aten_view_copy_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_88, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7531747Z       %aten_view_copy_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_89, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7532392Z       %aten_view_copy_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_90, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7533032Z       %aten_view_copy_default_147 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_144, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7533684Z       %aten_view_copy_default_148 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_145, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7534540Z       %aten_index_put_default_17 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_8_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_146), kwargs = {})
2025-03-21T20:26:49.7535190Z       %aten_slice_copy_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_147, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7535796Z       %aten_slice_copy_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_147, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7536414Z       %aten_slice_copy_tensor_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_148, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7537025Z       %aten_slice_copy_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_148, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7537695Z       %aten_permute_copy_default_347 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7538376Z       %aten_permute_copy_default_348 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7539041Z       %aten_permute_copy_default_349 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7539694Z       %aten_permute_copy_default_350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7540359Z       %aten_permute_copy_default_351 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7541011Z       %aten_permute_copy_default_352 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7541741Z       %aten_permute_copy_default_353 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7542398Z       %aten_permute_copy_default_354 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7543108Z       %aten_permute_copy_default_355 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7543789Z       %aten_permute_copy_default_356 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7544445Z       %aten_permute_copy_default_357 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7545114Z       %aten_permute_copy_default_358 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7545713Z       %aten_squeeze_copy_dims_91 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_32, [4]), kwargs = {})
2025-03-21T20:26:49.7546325Z       %aten_squeeze_copy_dims_92 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_33, [4]), kwargs = {})
2025-03-21T20:26:49.7546954Z       %aten_squeeze_copy_dims_93 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_34, [4]), kwargs = {})
2025-03-21T20:26:49.7547568Z       %aten_squeeze_copy_dims_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_35, [4]), kwargs = {})
2025-03-21T20:26:49.7548165Z       %aten_select_copy_int_408 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_347, 0, 0), kwargs = {})
2025-03-21T20:26:49.7548782Z       %aten_select_copy_int_410 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_348, 0, 0), kwargs = {})
2025-03-21T20:26:49.7549380Z       %aten_select_copy_int_412 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_349, 0, 0), kwargs = {})
2025-03-21T20:26:49.7550021Z       %aten_select_copy_int_414 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_350, 0, 0), kwargs = {})
2025-03-21T20:26:49.7550616Z       %aten_select_copy_int_416 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_351, 0, 0), kwargs = {})
2025-03-21T20:26:49.7551221Z       %aten_select_copy_int_418 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_352, 0, 0), kwargs = {})
2025-03-21T20:26:49.7551817Z       %aten_select_copy_int_420 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_353, 0, 0), kwargs = {})
2025-03-21T20:26:49.7552428Z       %aten_select_copy_int_422 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_354, 0, 0), kwargs = {})
2025-03-21T20:26:49.7553027Z       %aten_select_copy_int_424 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_355, 0, 0), kwargs = {})
2025-03-21T20:26:49.7553637Z       %aten_select_copy_int_426 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_356, 0, 0), kwargs = {})
2025-03-21T20:26:49.7554256Z       %aten_select_copy_int_428 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_357, 0, 0), kwargs = {})
2025-03-21T20:26:49.7554889Z       %aten_select_copy_int_430 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_358, 0, 0), kwargs = {})
2025-03-21T20:26:49.7555522Z       %aten_mul_tensor_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_91, %aten_view_copy_default_149), kwargs = {})
2025-03-21T20:26:49.7556164Z       %aten_mul_tensor_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_91, %aten_view_copy_default_150), kwargs = {})
2025-03-21T20:26:49.7556789Z       %aten_mul_tensor_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_92, %aten_view_copy_default_150), kwargs = {})
2025-03-21T20:26:49.7557432Z       %aten_mul_tensor_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_92, %aten_view_copy_default_149), kwargs = {})
2025-03-21T20:26:49.7558056Z       %aten_mul_tensor_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_93, %aten_view_copy_default_149), kwargs = {})
2025-03-21T20:26:49.7558728Z       %aten_mul_tensor_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_93, %aten_view_copy_default_150), kwargs = {})
2025-03-21T20:26:49.7559353Z       %aten_mul_tensor_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_94, %aten_view_copy_default_150), kwargs = {})
2025-03-21T20:26:49.7559991Z       %aten_mul_tensor_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_94, %aten_view_copy_default_149), kwargs = {})
2025-03-21T20:26:49.7560575Z       %aten_select_copy_int_409 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_408, 0, 0), kwargs = {})
2025-03-21T20:26:49.7561193Z       %aten_select_copy_int_411 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_410, 0, 1), kwargs = {})
2025-03-21T20:26:49.7561775Z       %aten_select_copy_int_413 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_412, 0, 2), kwargs = {})
2025-03-21T20:26:49.7562366Z       %aten_select_copy_int_415 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_414, 0, 3), kwargs = {})
2025-03-21T20:26:49.7562944Z       %aten_select_copy_int_417 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_416, 0, 4), kwargs = {})
2025-03-21T20:26:49.7563534Z       %aten_select_copy_int_419 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_418, 0, 5), kwargs = {})
2025-03-21T20:26:49.7564116Z       %aten_select_copy_int_421 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_420, 0, 6), kwargs = {})
2025-03-21T20:26:49.7564708Z       %aten_select_copy_int_423 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_422, 0, 7), kwargs = {})
2025-03-21T20:26:49.7565284Z       %aten_select_copy_int_425 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_424, 0, 8), kwargs = {})
2025-03-21T20:26:49.7565901Z       %aten_select_copy_int_427 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_426, 0, 9), kwargs = {})
2025-03-21T20:26:49.7566501Z       %aten_select_copy_int_429 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_428, 0, 10), kwargs = {})
2025-03-21T20:26:49.7567092Z       %aten_select_copy_int_431 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_430, 0, 11), kwargs = {})
2025-03-21T20:26:49.7567668Z       %aten_sub_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_122, %aten_mul_tensor_123), kwargs = {})
2025-03-21T20:26:49.7568251Z       %aten_add_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_124, %aten_mul_tensor_125), kwargs = {})
2025-03-21T20:26:49.7568826Z       %aten_sub_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_126, %aten_mul_tensor_127), kwargs = {})
2025-03-21T20:26:49.7569408Z       %aten_add_tensor_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_128, %aten_mul_tensor_129), kwargs = {})
2025-03-21T20:26:49.7570901Z       %aten_cat_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_409, %aten_select_copy_int_411, %aten_select_copy_int_413, %aten_select_copy_int_415, %aten_select_copy_int_417, %aten_select_copy_int_419, %aten_select_copy_int_421, %aten_select_copy_int_423, %aten_select_copy_int_425, %aten_select_copy_int_427, %aten_select_copy_int_429, %aten_select_copy_int_431],), kwargs = {})
2025-03-21T20:26:49.7571538Z       %aten_unsqueeze_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_16, 4), kwargs = {})
2025-03-21T20:26:49.7572160Z       %aten_unsqueeze_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_40, 4), kwargs = {})
2025-03-21T20:26:49.7572818Z       %aten_unsqueeze_copy_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_17, 4), kwargs = {})
2025-03-21T20:26:49.7573433Z       %aten_unsqueeze_copy_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_41, 4), kwargs = {})
2025-03-21T20:26:49.7574059Z       %aten_view_copy_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_35, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7574748Z       %aten_cat_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_91, %aten_unsqueeze_copy_default_92], -1), kwargs = {})
2025-03-21T20:26:49.7575448Z       %aten_cat_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_93, %aten_unsqueeze_copy_default_94], -1), kwargs = {})
2025-03-21T20:26:49.7576187Z       %aten_view_copy_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_32, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7576808Z       %aten_view_copy_default_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_33, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7577469Z       %aten_permute_copy_default_334 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_151, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7578416Z       %aten_index_put_default_16 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_8_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_152), kwargs = {})
2025-03-21T20:26:49.7579079Z       %aten_permute_copy_default_335 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7579745Z       %aten_permute_copy_default_336 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7580394Z       %aten_permute_copy_default_337 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7581058Z       %aten_permute_copy_default_338 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7581756Z       %aten_permute_copy_default_339 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7582461Z       %aten_permute_copy_default_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7583114Z       %aten_permute_copy_default_341 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7583783Z       %aten_permute_copy_default_342 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7584438Z       %aten_permute_copy_default_343 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7585134Z       %aten_permute_copy_default_344 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7585787Z       %aten_permute_copy_default_345 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7586453Z       %aten_permute_copy_default_346 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7587056Z       %aten_select_copy_int_384 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_335, 0, 0), kwargs = {})
2025-03-21T20:26:49.7587652Z       %aten_select_copy_int_386 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_336, 0, 0), kwargs = {})
2025-03-21T20:26:49.7588265Z       %aten_select_copy_int_388 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_337, 0, 0), kwargs = {})
2025-03-21T20:26:49.7588857Z       %aten_select_copy_int_390 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_338, 0, 0), kwargs = {})
2025-03-21T20:26:49.7589485Z       %aten_select_copy_int_392 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_339, 0, 0), kwargs = {})
2025-03-21T20:26:49.7590107Z       %aten_select_copy_int_394 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_340, 0, 0), kwargs = {})
2025-03-21T20:26:49.7590718Z       %aten_select_copy_int_396 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_341, 0, 0), kwargs = {})
2025-03-21T20:26:49.7591307Z       %aten_select_copy_int_398 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_342, 0, 0), kwargs = {})
2025-03-21T20:26:49.7591910Z       %aten_select_copy_int_400 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_343, 0, 0), kwargs = {})
2025-03-21T20:26:49.7592507Z       %aten_select_copy_int_402 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_344, 0, 0), kwargs = {})
2025-03-21T20:26:49.7593111Z       %aten_select_copy_int_404 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_345, 0, 0), kwargs = {})
2025-03-21T20:26:49.7593807Z       %aten_select_copy_int_406 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_346, 0, 0), kwargs = {})
2025-03-21T20:26:49.7594394Z       %aten_select_copy_int_385 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_384, 0, 0), kwargs = {})
2025-03-21T20:26:49.7594976Z       %aten_select_copy_int_387 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_386, 0, 1), kwargs = {})
2025-03-21T20:26:49.7595571Z       %aten_select_copy_int_389 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_388, 0, 2), kwargs = {})
2025-03-21T20:26:49.7596173Z       %aten_select_copy_int_391 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_390, 0, 3), kwargs = {})
2025-03-21T20:26:49.7596768Z       %aten_select_copy_int_393 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_392, 0, 4), kwargs = {})
2025-03-21T20:26:49.7597343Z       %aten_select_copy_int_395 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_394, 0, 5), kwargs = {})
2025-03-21T20:26:49.7597939Z       %aten_select_copy_int_397 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_396, 0, 6), kwargs = {})
2025-03-21T20:26:49.7598520Z       %aten_select_copy_int_399 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_398, 0, 7), kwargs = {})
2025-03-21T20:26:49.7599116Z       %aten_select_copy_int_401 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_400, 0, 8), kwargs = {})
2025-03-21T20:26:49.7599696Z       %aten_select_copy_int_403 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_402, 0, 9), kwargs = {})
2025-03-21T20:26:49.7600291Z       %aten_select_copy_int_405 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_404, 0, 10), kwargs = {})
2025-03-21T20:26:49.7600895Z       %aten_select_copy_int_407 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_406, 0, 11), kwargs = {})
2025-03-21T20:26:49.7602422Z       %aten_cat_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_385, %aten_select_copy_int_387, %aten_select_copy_int_389, %aten_select_copy_int_391, %aten_select_copy_int_393, %aten_select_copy_int_395, %aten_select_copy_int_397, %aten_select_copy_int_399, %aten_select_copy_int_401, %aten_select_copy_int_403, %aten_select_copy_int_405, %aten_select_copy_int_407],), kwargs = {})
2025-03-21T20:26:49.7603042Z       %aten_view_copy_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_34, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7603711Z       %aten_permute_copy_default_359 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_153, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7604409Z       %aten_matmul_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_334, %aten_permute_copy_default_359), kwargs = {})
2025-03-21T20:26:49.7605040Z       %aten_mul_tensor_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_16, %_lifted_tensor_constant46), kwargs = {})
2025-03-21T20:26:49.7605643Z       %aten_add_tensor_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_130, %aten_index_tensor_10), kwargs = {})
2025-03-21T20:26:49.7606252Z       %aten__softmax_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_42, -1, False), kwargs = {})
2025-03-21T20:26:49.7606912Z       %aten_matmul_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_8, %aten_view_copy_default_154), kwargs = {})
2025-03-21T20:26:49.7607568Z       %aten_permute_copy_default_360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7608231Z       %aten_view_copy_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_360, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7608892Z       %aten_unsqueeze_copy_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_161, -1), kwargs = {})
2025-03-21T20:26:49.7609567Z       %aten_permute_copy_default_361 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_95, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7610480Z       %aten_convolution_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_361, %p_layers_8_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7611148Z       %aten_permute_copy_default_362 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_59, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7611771Z       %aten_squeeze_copy_dims_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_362, [-1]), kwargs = {})
2025-03-21T20:26:49.7612362Z       %aten_add_tensor_43 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_39, %aten_squeeze_copy_dims_95), kwargs = {})
2025-03-21T20:26:49.7613115Z       %aten_rms_norm_default_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_43, [768], %p_layers_8_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7613779Z       %aten_unsqueeze_copy_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_17, -1), kwargs = {})
2025-03-21T20:26:49.7614432Z       %aten_unsqueeze_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_17, -1), kwargs = {})
2025-03-21T20:26:49.7615111Z       %aten_permute_copy_default_363 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_96, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7615796Z       %aten_permute_copy_default_365 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_97, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7616705Z       %aten_convolution_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_363, %p_layers_8_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7617645Z       %aten_convolution_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_365, %p_layers_8_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7618312Z       %aten_permute_copy_default_364 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_60, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7618994Z       %aten_permute_copy_default_366 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_61, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7619609Z       %aten_squeeze_copy_dims_96 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_364, [-1]), kwargs = {})
2025-03-21T20:26:49.7620259Z       %aten_squeeze_copy_dims_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_366, [-1]), kwargs = {})
2025-03-21T20:26:49.7620843Z       %aten_sigmoid_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_96,), kwargs = {})
2025-03-21T20:26:49.7621521Z       %aten_mul_tensor_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_96, %aten_sigmoid_default_8), kwargs = {})
2025-03-21T20:26:49.7622125Z       %aten_mul_tensor_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_133, %aten_squeeze_copy_dims_97), kwargs = {})
2025-03-21T20:26:49.7622765Z       %aten_unsqueeze_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_134, -1), kwargs = {})
2025-03-21T20:26:49.7623444Z       %aten_permute_copy_default_367 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_98, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7624364Z       %aten_convolution_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_367, %p_layers_8_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7625081Z       %aten_permute_copy_default_368 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_62, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7625709Z       %aten_squeeze_copy_dims_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_368, [-1]), kwargs = {})
2025-03-21T20:26:49.7626303Z       %aten_add_tensor_44 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_43, %aten_squeeze_copy_dims_98), kwargs = {})
2025-03-21T20:26:49.7627066Z       %aten_rms_norm_default_18 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_44, [768], %p_layers_9_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7627711Z       %aten_unsqueeze_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {})
2025-03-21T20:26:49.7628368Z       %aten_unsqueeze_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {})
2025-03-21T20:26:49.7629032Z       %aten_unsqueeze_copy_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {})
2025-03-21T20:26:49.7629722Z       %aten_permute_copy_default_369 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_99, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7630401Z       %aten_permute_copy_default_371 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_100, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7631094Z       %aten_permute_copy_default_373 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_101, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7632008Z       %aten_convolution_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_369, %p_layers_9_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7632908Z       %aten_convolution_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_371, %p_layers_9_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7633801Z       %aten_convolution_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_373, %p_layers_9_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7634479Z       %aten_permute_copy_default_370 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_63, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7635147Z       %aten_permute_copy_default_372 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_64, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7635827Z       %aten_permute_copy_default_374 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_65, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7636440Z       %aten_squeeze_copy_dims_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_370, [-1]), kwargs = {})
2025-03-21T20:26:49.7637120Z       %aten_squeeze_copy_dims_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_372, [-1]), kwargs = {})
2025-03-21T20:26:49.7637735Z       %aten_squeeze_copy_dims_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_374, [-1]), kwargs = {})
2025-03-21T20:26:49.7638375Z       %aten_view_copy_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_99, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7639010Z       %aten_view_copy_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_100, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7639655Z       %aten_view_copy_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_101, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7640299Z       %aten_view_copy_default_165 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_162, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7640985Z       %aten_view_copy_default_166 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_163, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7641836Z       %aten_index_put_default_19 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_9_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_164), kwargs = {})
2025-03-21T20:26:49.7642459Z       %aten_slice_copy_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_165, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7643070Z       %aten_slice_copy_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_165, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7643714Z       %aten_slice_copy_tensor_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_166, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7644322Z       %aten_slice_copy_tensor_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_166, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7644991Z       %aten_permute_copy_default_388 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7645648Z       %aten_permute_copy_default_389 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7646318Z       %aten_permute_copy_default_390 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7646974Z       %aten_permute_copy_default_391 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7647639Z       %aten_permute_copy_default_392 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7648289Z       %aten_permute_copy_default_393 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7649016Z       %aten_permute_copy_default_394 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7649673Z       %aten_permute_copy_default_395 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7659520Z       %aten_permute_copy_default_396 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7660304Z       %aten_permute_copy_default_397 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7660997Z       %aten_permute_copy_default_398 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7661744Z       %aten_permute_copy_default_399 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7662468Z       %aten_squeeze_copy_dims_102 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_36, [4]), kwargs = {})
2025-03-21T20:26:49.7663073Z       %aten_squeeze_copy_dims_103 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_37, [4]), kwargs = {})
2025-03-21T20:26:49.7663688Z       %aten_squeeze_copy_dims_104 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_38, [4]), kwargs = {})
2025-03-21T20:26:49.7664298Z       %aten_squeeze_copy_dims_105 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_39, [4]), kwargs = {})
2025-03-21T20:26:49.7664927Z       %aten_select_copy_int_456 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_388, 0, 0), kwargs = {})
2025-03-21T20:26:49.7665537Z       %aten_select_copy_int_458 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_389, 0, 0), kwargs = {})
2025-03-21T20:26:49.7666130Z       %aten_select_copy_int_460 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_390, 0, 0), kwargs = {})
2025-03-21T20:26:49.7666739Z       %aten_select_copy_int_462 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_391, 0, 0), kwargs = {})
2025-03-21T20:26:49.7667334Z       %aten_select_copy_int_464 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_392, 0, 0), kwargs = {})
2025-03-21T20:26:49.7667943Z       %aten_select_copy_int_466 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_393, 0, 0), kwargs = {})
2025-03-21T20:26:49.7668538Z       %aten_select_copy_int_468 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_394, 0, 0), kwargs = {})
2025-03-21T20:26:49.7669147Z       %aten_select_copy_int_470 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_395, 0, 0), kwargs = {})
2025-03-21T20:26:49.7669770Z       %aten_select_copy_int_472 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_396, 0, 0), kwargs = {})
2025-03-21T20:26:49.7670409Z       %aten_select_copy_int_474 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_397, 0, 0), kwargs = {})
2025-03-21T20:26:49.7671006Z       %aten_select_copy_int_476 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_398, 0, 0), kwargs = {})
2025-03-21T20:26:49.7671611Z       %aten_select_copy_int_478 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_399, 0, 0), kwargs = {})
2025-03-21T20:26:49.7672249Z       %aten_mul_tensor_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_102, %aten_view_copy_default_167), kwargs = {})
2025-03-21T20:26:49.7672896Z       %aten_mul_tensor_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_102, %aten_view_copy_default_168), kwargs = {})
2025-03-21T20:26:49.7673524Z       %aten_mul_tensor_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_103, %aten_view_copy_default_168), kwargs = {})
2025-03-21T20:26:49.7674191Z       %aten_mul_tensor_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_103, %aten_view_copy_default_167), kwargs = {})
2025-03-21T20:26:49.7674815Z       %aten_mul_tensor_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_104, %aten_view_copy_default_167), kwargs = {})
2025-03-21T20:26:49.7675455Z       %aten_mul_tensor_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_104, %aten_view_copy_default_168), kwargs = {})
2025-03-21T20:26:49.7676269Z       %aten_mul_tensor_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_105, %aten_view_copy_default_168), kwargs = {})
2025-03-21T20:26:49.7676976Z       %aten_mul_tensor_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_105, %aten_view_copy_default_167), kwargs = {})
2025-03-21T20:26:49.7677559Z       %aten_select_copy_int_457 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_456, 0, 0), kwargs = {})
2025-03-21T20:26:49.7678138Z       %aten_select_copy_int_459 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_458, 0, 1), kwargs = {})
2025-03-21T20:26:49.7678737Z       %aten_select_copy_int_461 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_460, 0, 2), kwargs = {})
2025-03-21T20:26:49.7679313Z       %aten_select_copy_int_463 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_462, 0, 3), kwargs = {})
2025-03-21T20:26:49.7679907Z       %aten_select_copy_int_465 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_464, 0, 4), kwargs = {})
2025-03-21T20:26:49.7680483Z       %aten_select_copy_int_467 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_466, 0, 5), kwargs = {})
2025-03-21T20:26:49.7681073Z       %aten_select_copy_int_469 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_468, 0, 6), kwargs = {})
2025-03-21T20:26:49.7681722Z       %aten_select_copy_int_471 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_470, 0, 7), kwargs = {})
2025-03-21T20:26:49.7682320Z       %aten_select_copy_int_473 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_472, 0, 8), kwargs = {})
2025-03-21T20:26:49.7682902Z       %aten_select_copy_int_475 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_474, 0, 9), kwargs = {})
2025-03-21T20:26:49.7683500Z       %aten_select_copy_int_477 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_476, 0, 10), kwargs = {})
2025-03-21T20:26:49.7684084Z       %aten_select_copy_int_479 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_478, 0, 11), kwargs = {})
2025-03-21T20:26:49.7684677Z       %aten_sub_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_137, %aten_mul_tensor_138), kwargs = {})
2025-03-21T20:26:49.7685253Z       %aten_add_tensor_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_139, %aten_mul_tensor_140), kwargs = {})
2025-03-21T20:26:49.7685870Z       %aten_sub_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_141, %aten_mul_tensor_142), kwargs = {})
2025-03-21T20:26:49.7686441Z       %aten_add_tensor_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_143, %aten_mul_tensor_144), kwargs = {})
2025-03-21T20:26:49.7687937Z       %aten_cat_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_457, %aten_select_copy_int_459, %aten_select_copy_int_461, %aten_select_copy_int_463, %aten_select_copy_int_465, %aten_select_copy_int_467, %aten_select_copy_int_469, %aten_select_copy_int_471, %aten_select_copy_int_473, %aten_select_copy_int_475, %aten_select_copy_int_477, %aten_select_copy_int_479],), kwargs = {})
2025-03-21T20:26:49.7688597Z       %aten_unsqueeze_copy_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_18, 4), kwargs = {})
2025-03-21T20:26:49.7689232Z       %aten_unsqueeze_copy_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_45, 4), kwargs = {})
2025-03-21T20:26:49.7689856Z       %aten_unsqueeze_copy_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_19, 4), kwargs = {})
2025-03-21T20:26:49.7690495Z       %aten_unsqueeze_copy_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_46, 4), kwargs = {})
2025-03-21T20:26:49.7691107Z       %aten_view_copy_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_39, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7691825Z       %aten_cat_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_102, %aten_unsqueeze_copy_default_103], -1), kwargs = {})
2025-03-21T20:26:49.7692517Z       %aten_cat_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_104, %aten_unsqueeze_copy_default_105], -1), kwargs = {})
2025-03-21T20:26:49.7693166Z       %aten_view_copy_default_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_36, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7693798Z       %aten_view_copy_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_37, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7694476Z       %aten_permute_copy_default_375 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_169, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7695331Z       %aten_index_put_default_18 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_9_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_170), kwargs = {})
2025-03-21T20:26:49.7696005Z       %aten_permute_copy_default_376 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7696659Z       %aten_permute_copy_default_377 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7697351Z       %aten_permute_copy_default_378 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7698002Z       %aten_permute_copy_default_379 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7698664Z       %aten_permute_copy_default_380 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7699325Z       %aten_permute_copy_default_381 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7699992Z       %aten_permute_copy_default_382 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7700675Z       %aten_permute_copy_default_383 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7701411Z       %aten_permute_copy_default_384 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7702069Z       %aten_permute_copy_default_385 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7702738Z       %aten_permute_copy_default_386 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7703395Z       %aten_permute_copy_default_387 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7704010Z       %aten_select_copy_int_432 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_376, 0, 0), kwargs = {})
2025-03-21T20:26:49.7704604Z       %aten_select_copy_int_434 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_377, 0, 0), kwargs = {})
2025-03-21T20:26:49.7705279Z       %aten_select_copy_int_436 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_378, 0, 0), kwargs = {})
2025-03-21T20:26:49.7705876Z       %aten_select_copy_int_438 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_379, 0, 0), kwargs = {})
2025-03-21T20:26:49.7706487Z       %aten_select_copy_int_440 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_380, 0, 0), kwargs = {})
2025-03-21T20:26:49.7707110Z       %aten_select_copy_int_442 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_381, 0, 0), kwargs = {})
2025-03-21T20:26:49.7707717Z       %aten_select_copy_int_444 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_382, 0, 0), kwargs = {})
2025-03-21T20:26:49.7708312Z       %aten_select_copy_int_446 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_383, 0, 0), kwargs = {})
2025-03-21T20:26:49.7708919Z       %aten_select_copy_int_448 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_384, 0, 0), kwargs = {})
2025-03-21T20:26:49.7709538Z       %aten_select_copy_int_450 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_385, 0, 0), kwargs = {})
2025-03-21T20:26:49.7710148Z       %aten_select_copy_int_452 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_386, 0, 0), kwargs = {})
2025-03-21T20:26:49.7710742Z       %aten_select_copy_int_454 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_387, 0, 0), kwargs = {})
2025-03-21T20:26:49.7711345Z       %aten_select_copy_int_433 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_432, 0, 0), kwargs = {})
2025-03-21T20:26:49.7711954Z       %aten_select_copy_int_435 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_434, 0, 1), kwargs = {})
2025-03-21T20:26:49.7712548Z       %aten_select_copy_int_437 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_436, 0, 2), kwargs = {})
2025-03-21T20:26:49.7713126Z       %aten_select_copy_int_439 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_438, 0, 3), kwargs = {})
2025-03-21T20:26:49.7713720Z       %aten_select_copy_int_441 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_440, 0, 4), kwargs = {})
2025-03-21T20:26:49.7714303Z       %aten_select_copy_int_443 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_442, 0, 5), kwargs = {})
2025-03-21T20:26:49.7714892Z       %aten_select_copy_int_445 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_444, 0, 6), kwargs = {})
2025-03-21T20:26:49.7715470Z       %aten_select_copy_int_447 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_446, 0, 7), kwargs = {})
2025-03-21T20:26:49.7716052Z       %aten_select_copy_int_449 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_448, 0, 8), kwargs = {})
2025-03-21T20:26:49.7716680Z       %aten_select_copy_int_451 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_450, 0, 9), kwargs = {})
2025-03-21T20:26:49.7717274Z       %aten_select_copy_int_453 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_452, 0, 10), kwargs = {})
2025-03-21T20:26:49.7717859Z       %aten_select_copy_int_455 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_454, 0, 11), kwargs = {})
2025-03-21T20:26:49.7719344Z       %aten_cat_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_433, %aten_select_copy_int_435, %aten_select_copy_int_437, %aten_select_copy_int_439, %aten_select_copy_int_441, %aten_select_copy_int_443, %aten_select_copy_int_445, %aten_select_copy_int_447, %aten_select_copy_int_449, %aten_select_copy_int_451, %aten_select_copy_int_453, %aten_select_copy_int_455],), kwargs = {})
2025-03-21T20:26:49.7719962Z       %aten_view_copy_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_38, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7720662Z       %aten_permute_copy_default_400 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_171, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7721357Z       %aten_matmul_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_375, %aten_permute_copy_default_400), kwargs = {})
2025-03-21T20:26:49.7721986Z       %aten_mul_tensor_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_18, %_lifted_tensor_constant47), kwargs = {})
2025-03-21T20:26:49.7722571Z       %aten_add_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_145, %aten_index_tensor_11), kwargs = {})
2025-03-21T20:26:49.7723179Z       %aten__softmax_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_47, -1, False), kwargs = {})
2025-03-21T20:26:49.7723870Z       %aten_matmul_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_9, %aten_view_copy_default_172), kwargs = {})
2025-03-21T20:26:49.7724534Z       %aten_permute_copy_default_401 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7725171Z       %aten_view_copy_default_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_401, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7725840Z       %aten_unsqueeze_copy_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_179, -1), kwargs = {})
2025-03-21T20:26:49.7726520Z       %aten_permute_copy_default_402 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_106, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7727434Z       %aten_convolution_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_402, %p_layers_9_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7728098Z       %aten_permute_copy_default_403 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_66, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7728773Z       %aten_squeeze_copy_dims_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_403, [-1]), kwargs = {})
2025-03-21T20:26:49.7729371Z       %aten_add_tensor_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_44, %aten_squeeze_copy_dims_106), kwargs = {})
2025-03-21T20:26:49.7730106Z       %aten_rms_norm_default_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_48, [768], %p_layers_9_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7730755Z       %aten_unsqueeze_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_19, -1), kwargs = {})
2025-03-21T20:26:49.7731412Z       %aten_unsqueeze_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_19, -1), kwargs = {})
2025-03-21T20:26:49.7732095Z       %aten_permute_copy_default_404 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_107, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7732809Z       %aten_permute_copy_default_406 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_108, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7733716Z       %aten_convolution_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_404, %p_layers_9_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7734634Z       %aten_convolution_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_406, %p_layers_9_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7735332Z       %aten_permute_copy_default_405 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_67, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7736012Z       %aten_permute_copy_default_407 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_68, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7736629Z       %aten_squeeze_copy_dims_107 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_405, [-1]), kwargs = {})
2025-03-21T20:26:49.7737260Z       %aten_squeeze_copy_dims_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_407, [-1]), kwargs = {})
2025-03-21T20:26:49.7737844Z       %aten_sigmoid_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_107,), kwargs = {})
2025-03-21T20:26:49.7738478Z       %aten_mul_tensor_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_107, %aten_sigmoid_default_9), kwargs = {})
2025-03-21T20:26:49.7739080Z       %aten_mul_tensor_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_148, %aten_squeeze_copy_dims_108), kwargs = {})
2025-03-21T20:26:49.7739723Z       %aten_unsqueeze_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_149, -1), kwargs = {})
2025-03-21T20:26:49.7740432Z       %aten_permute_copy_default_408 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_109, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7741431Z       %aten_convolution_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_408, %p_layers_9_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7742227Z       %aten_permute_copy_default_409 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_69, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7742862Z       %aten_squeeze_copy_dims_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_409, [-1]), kwargs = {})
2025-03-21T20:26:49.7743457Z       %aten_add_tensor_49 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_48, %aten_squeeze_copy_dims_109), kwargs = {})
2025-03-21T20:26:49.7744222Z       %aten_rms_norm_default_20 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_49, [768], %p_layers_10_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7744915Z       %aten_unsqueeze_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {})
2025-03-21T20:26:49.7745576Z       %aten_unsqueeze_copy_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {})
2025-03-21T20:26:49.7746218Z       %aten_unsqueeze_copy_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {})
2025-03-21T20:26:49.7746918Z       %aten_permute_copy_default_410 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_110, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7747643Z       %aten_permute_copy_default_412 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_111, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7748340Z       %aten_permute_copy_default_414 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_112, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7749237Z       %aten_convolution_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_410, %p_layers_10_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7750155Z       %aten_convolution_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_412, %p_layers_10_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7751049Z       %aten_convolution_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_414, %p_layers_10_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7751727Z       %aten_permute_copy_default_411 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_70, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7752421Z       %aten_permute_copy_default_413 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_71, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7753125Z       %aten_permute_copy_default_415 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_72, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7753746Z       %aten_squeeze_copy_dims_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_411, [-1]), kwargs = {})
2025-03-21T20:26:49.7754376Z       %aten_squeeze_copy_dims_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_413, [-1]), kwargs = {})
2025-03-21T20:26:49.7754988Z       %aten_squeeze_copy_dims_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_415, [-1]), kwargs = {})
2025-03-21T20:26:49.7755642Z       %aten_view_copy_default_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_110, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7756277Z       %aten_view_copy_default_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_111, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7756949Z       %aten_view_copy_default_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_112, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7757590Z       %aten_view_copy_default_183 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_180, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7758247Z       %aten_view_copy_default_184 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_181, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7759107Z       %aten_index_put_default_21 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_10_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_182), kwargs = {})
2025-03-21T20:26:49.7759759Z       %aten_slice_copy_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_183, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7760365Z       %aten_slice_copy_tensor_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_183, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7760987Z       %aten_slice_copy_tensor_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_184, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7761598Z       %aten_slice_copy_tensor_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_184, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7762273Z       %aten_permute_copy_default_429 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7762930Z       %aten_permute_copy_default_430 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7763597Z       %aten_permute_copy_default_431 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7764271Z       %aten_permute_copy_default_432 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7764951Z       %aten_permute_copy_default_433 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7765622Z       %aten_permute_copy_default_434 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7766276Z       %aten_permute_copy_default_435 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7766943Z       %aten_permute_copy_default_436 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7767598Z       %aten_permute_copy_default_437 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7768270Z       %aten_permute_copy_default_438 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7768946Z       %aten_permute_copy_default_439 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7769614Z       %aten_permute_copy_default_440 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7770219Z       %aten_squeeze_copy_dims_113 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_40, [4]), kwargs = {})
2025-03-21T20:26:49.7770836Z       %aten_squeeze_copy_dims_114 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_41, [4]), kwargs = {})
2025-03-21T20:26:49.7771466Z       %aten_squeeze_copy_dims_115 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_42, [4]), kwargs = {})
2025-03-21T20:26:49.7772083Z       %aten_squeeze_copy_dims_116 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_43, [4]), kwargs = {})
2025-03-21T20:26:49.7772681Z       %aten_select_copy_int_504 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_429, 0, 0), kwargs = {})
2025-03-21T20:26:49.7773293Z       %aten_select_copy_int_506 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_430, 0, 0), kwargs = {})
2025-03-21T20:26:49.7773888Z       %aten_select_copy_int_508 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_431, 0, 0), kwargs = {})
2025-03-21T20:26:49.7774497Z       %aten_select_copy_int_510 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_432, 0, 0), kwargs = {})
2025-03-21T20:26:49.7775090Z       %aten_select_copy_int_512 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_433, 0, 0), kwargs = {})
2025-03-21T20:26:49.7776094Z       %aten_select_copy_int_514 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_434, 0, 0), kwargs = {})
2025-03-21T20:26:49.7776981Z       %aten_select_copy_int_516 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_435, 0, 0), kwargs = {})
2025-03-21T20:26:49.7777594Z       %aten_select_copy_int_518 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_436, 0, 0), kwargs = {})
2025-03-21T20:26:49.7778191Z       %aten_select_copy_int_520 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_437, 0, 0), kwargs = {})
2025-03-21T20:26:49.7778803Z       %aten_select_copy_int_522 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_438, 0, 0), kwargs = {})
2025-03-21T20:26:49.7779399Z       %aten_select_copy_int_524 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_439, 0, 0), kwargs = {})
2025-03-21T20:26:49.7780012Z       %aten_select_copy_int_526 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_440, 0, 0), kwargs = {})
2025-03-21T20:26:49.7780685Z       %aten_mul_tensor_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_185), kwargs = {})
2025-03-21T20:26:49.7781408Z       %aten_mul_tensor_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_186), kwargs = {})
2025-03-21T20:26:49.7782041Z       %aten_mul_tensor_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_186), kwargs = {})
2025-03-21T20:26:49.7782691Z       %aten_mul_tensor_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_185), kwargs = {})
2025-03-21T20:26:49.7783356Z       %aten_mul_tensor_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_185), kwargs = {})
2025-03-21T20:26:49.7784002Z       %aten_mul_tensor_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_186), kwargs = {})
2025-03-21T20:26:49.7784629Z       %aten_mul_tensor_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_186), kwargs = {})
2025-03-21T20:26:49.7785272Z       %aten_mul_tensor_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_185), kwargs = {})
2025-03-21T20:26:49.7785862Z       %aten_select_copy_int_505 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_504, 0, 0), kwargs = {})
2025-03-21T20:26:49.7787183Z       %aten_select_copy_int_507 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_506, 0, 1), kwargs = {})
2025-03-21T20:26:49.7788469Z       %aten_select_copy_int_509 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_508, 0, 2), kwargs = {})
2025-03-21T20:26:49.7789758Z       %aten_select_copy_int_511 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_510, 0, 3), kwargs = {})
2025-03-21T20:26:49.7791071Z       %aten_select_copy_int_513 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_512, 0, 4), kwargs = {})
2025-03-21T20:26:49.7792374Z       %aten_select_copy_int_515 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_514, 0, 5), kwargs = {})
2025-03-21T20:26:49.7793664Z       %aten_select_copy_int_517 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_516, 0, 6), kwargs = {})
2025-03-21T20:26:49.7794990Z       %aten_select_copy_int_519 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_518, 0, 7), kwargs = {})
2025-03-21T20:26:49.7796257Z       %aten_select_copy_int_521 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_520, 0, 8), kwargs = {})
2025-03-21T20:26:49.7797538Z       %aten_select_copy_int_523 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_522, 0, 9), kwargs = {})
2025-03-21T20:26:49.7798819Z       %aten_select_copy_int_525 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_524, 0, 10), kwargs = {})
2025-03-21T20:26:49.7800275Z       %aten_select_copy_int_527 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_526, 0, 11), kwargs = {})
2025-03-21T20:26:49.7801553Z       %aten_sub_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_152, %aten_mul_tensor_153), kwargs = {})
2025-03-21T20:26:49.7803009Z       %aten_add_tensor_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_154, %aten_mul_tensor_155), kwargs = {})
2025-03-21T20:26:49.7804278Z       %aten_sub_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_156, %aten_mul_tensor_157), kwargs = {})
2025-03-21T20:26:49.7805580Z       %aten_add_tensor_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_158, %aten_mul_tensor_159), kwargs = {})
2025-03-21T20:26:49.7807740Z       %aten_cat_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_505, %aten_select_copy_int_507, %aten_select_copy_int_509, %aten_select_copy_int_511, %aten_select_copy_int_513, %aten_select_copy_int_515, %aten_select_copy_int_517, %aten_select_copy_int_519, %aten_select_copy_int_521, %aten_select_copy_int_523, %aten_select_copy_int_525, %aten_select_copy_int_527],), kwargs = {})
2025-03-21T20:26:49.7809970Z       %aten_unsqueeze_copy_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_20, 4), kwargs = {})
2025-03-21T20:26:49.7811345Z       %aten_unsqueeze_copy_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_50, 4), kwargs = {})
2025-03-21T20:26:49.7812761Z       %aten_unsqueeze_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_21, 4), kwargs = {})
2025-03-21T20:26:49.7814127Z       %aten_unsqueeze_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_51, 4), kwargs = {})
2025-03-21T20:26:49.7815545Z       %aten_view_copy_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_43, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7817107Z       %aten_cat_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_113, %aten_unsqueeze_copy_default_114], -1), kwargs = {})
2025-03-21T20:26:49.7818698Z       %aten_cat_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_115, %aten_unsqueeze_copy_default_116], -1), kwargs = {})
2025-03-21T20:26:49.7820129Z       %aten_view_copy_default_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_40, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7821547Z       %aten_view_copy_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_41, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7822940Z       %aten_permute_copy_default_416 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_187, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7824584Z       %aten_index_put_default_20 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_10_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_188), kwargs = {})
2025-03-21T20:26:49.7826300Z       %aten_permute_copy_default_417 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7827739Z       %aten_permute_copy_default_418 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7829206Z       %aten_permute_copy_default_419 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7830648Z       %aten_permute_copy_default_420 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7832186Z       %aten_permute_copy_default_421 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7833633Z       %aten_permute_copy_default_422 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7835065Z       %aten_permute_copy_default_423 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7836494Z       %aten_permute_copy_default_424 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7837917Z       %aten_permute_copy_default_425 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7839341Z       %aten_permute_copy_default_426 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7840763Z       %aten_permute_copy_default_427 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7842219Z       %aten_permute_copy_default_428 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7843720Z       %aten_select_copy_int_480 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_417, 0, 0), kwargs = {})
2025-03-21T20:26:49.7845043Z       %aten_select_copy_int_482 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_418, 0, 0), kwargs = {})
2025-03-21T20:26:49.7846343Z       %aten_select_copy_int_484 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_419, 0, 0), kwargs = {})
2025-03-21T20:26:49.7847654Z       %aten_select_copy_int_486 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_420, 0, 0), kwargs = {})
2025-03-21T20:26:49.7848970Z       %aten_select_copy_int_488 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_421, 0, 0), kwargs = {})
2025-03-21T20:26:49.7850279Z       %aten_select_copy_int_490 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_422, 0, 0), kwargs = {})
2025-03-21T20:26:49.7851643Z       %aten_select_copy_int_492 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_423, 0, 0), kwargs = {})
2025-03-21T20:26:49.7852954Z       %aten_select_copy_int_494 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_424, 0, 0), kwargs = {})
2025-03-21T20:26:49.7854263Z       %aten_select_copy_int_496 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_425, 0, 0), kwargs = {})
2025-03-21T20:26:49.7855579Z       %aten_select_copy_int_498 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_426, 0, 0), kwargs = {})
2025-03-21T20:26:49.7856917Z       %aten_select_copy_int_500 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_427, 0, 0), kwargs = {})
2025-03-21T20:26:49.7858219Z       %aten_select_copy_int_502 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_428, 0, 0), kwargs = {})
2025-03-21T20:26:49.7859520Z       %aten_select_copy_int_481 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_480, 0, 0), kwargs = {})
2025-03-21T20:26:49.7860805Z       %aten_select_copy_int_483 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_482, 0, 1), kwargs = {})
2025-03-21T20:26:49.7862144Z       %aten_select_copy_int_485 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_484, 0, 2), kwargs = {})
2025-03-21T20:26:49.7863435Z       %aten_select_copy_int_487 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_486, 0, 3), kwargs = {})
2025-03-21T20:26:49.7864710Z       %aten_select_copy_int_489 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_488, 0, 4), kwargs = {})
2025-03-21T20:26:49.7865989Z       %aten_select_copy_int_491 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_490, 0, 5), kwargs = {})
2025-03-21T20:26:49.7867327Z       %aten_select_copy_int_493 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_492, 0, 6), kwargs = {})
2025-03-21T20:26:49.7868645Z       %aten_select_copy_int_495 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_494, 0, 7), kwargs = {})
2025-03-21T20:26:49.7869934Z       %aten_select_copy_int_497 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_496, 0, 8), kwargs = {})
2025-03-21T20:26:49.7871226Z       %aten_select_copy_int_499 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_498, 0, 9), kwargs = {})
2025-03-21T20:26:49.7872518Z       %aten_select_copy_int_501 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_500, 0, 10), kwargs = {})
2025-03-21T20:26:49.7873812Z       %aten_select_copy_int_503 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_502, 0, 11), kwargs = {})
2025-03-21T20:26:49.7876263Z       %aten_cat_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_481, %aten_select_copy_int_483, %aten_select_copy_int_485, %aten_select_copy_int_487, %aten_select_copy_int_489, %aten_select_copy_int_491, %aten_select_copy_int_493, %aten_select_copy_int_495, %aten_select_copy_int_497, %aten_select_copy_int_499, %aten_select_copy_int_501, %aten_select_copy_int_503],), kwargs = {})
2025-03-21T20:26:49.7878493Z       %aten_view_copy_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_42, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.7879896Z       %aten_permute_copy_default_441 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_189, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.7881383Z       %aten_matmul_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_416, %aten_permute_copy_default_441), kwargs = {})
2025-03-21T20:26:49.7882865Z       %aten_mul_tensor_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_20, %_lifted_tensor_constant48), kwargs = {})
2025-03-21T20:26:49.7884175Z       %aten_add_tensor_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_160, %aten_index_tensor_12), kwargs = {})
2025-03-21T20:26:49.7885457Z       %aten__softmax_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_52, -1, False), kwargs = {})
2025-03-21T20:26:49.7886838Z       %aten_matmul_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_10, %aten_view_copy_default_190), kwargs = {})
2025-03-21T20:26:49.7888278Z       %aten_permute_copy_default_442 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7889679Z       %aten_view_copy_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_442, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.7891092Z       %aten_unsqueeze_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_197, -1), kwargs = {})
2025-03-21T20:26:49.7892550Z       %aten_permute_copy_default_443 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_117, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7894339Z       %aten_convolution_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_443, %p_layers_10_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7896028Z       %aten_permute_copy_default_444 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_73, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7897432Z       %aten_squeeze_copy_dims_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_444, [-1]), kwargs = {})
2025-03-21T20:26:49.7898765Z       %aten_add_tensor_53 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_49, %aten_squeeze_copy_dims_117), kwargs = {})
2025-03-21T20:26:49.7900200Z       %aten_rms_norm_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_53, [768], %p_layers_10_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7901736Z       %aten_unsqueeze_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_21, -1), kwargs = {})
2025-03-21T20:26:49.7903197Z       %aten_unsqueeze_copy_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_21, -1), kwargs = {})
2025-03-21T20:26:49.7904647Z       %aten_permute_copy_default_445 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_118, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7906135Z       %aten_permute_copy_default_447 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_119, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7907840Z       %aten_convolution_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_445, %p_layers_10_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7909793Z       %aten_convolution_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_447, %p_layers_10_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7911484Z       %aten_permute_copy_default_446 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_74, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7912945Z       %aten_permute_copy_default_448 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_75, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7914346Z       %aten_squeeze_copy_dims_118 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_446, [-1]), kwargs = {})
2025-03-21T20:26:49.7915702Z       %aten_squeeze_copy_dims_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_448, [-1]), kwargs = {})
2025-03-21T20:26:49.7917027Z       %aten_sigmoid_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_118,), kwargs = {})
2025-03-21T20:26:49.7918385Z       %aten_mul_tensor_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_118, %aten_sigmoid_default_10), kwargs = {})
2025-03-21T20:26:49.7919755Z       %aten_mul_tensor_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_163, %aten_squeeze_copy_dims_119), kwargs = {})
2025-03-21T20:26:49.7921107Z       %aten_unsqueeze_copy_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_164, -1), kwargs = {})
2025-03-21T20:26:49.7922544Z       %aten_permute_copy_default_449 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_120, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7924245Z       %aten_convolution_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_449, %p_layers_10_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7925942Z       %aten_permute_copy_default_450 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_76, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7927340Z       %aten_squeeze_copy_dims_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_450, [-1]), kwargs = {})
2025-03-21T20:26:49.7928701Z       %aten_add_tensor_54 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_53, %aten_squeeze_copy_dims_120), kwargs = {})
2025-03-21T20:26:49.7930152Z       %aten_rms_norm_default_22 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_54, [768], %p_layers_11_attention_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.7931658Z       %aten_unsqueeze_copy_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {})
2025-03-21T20:26:49.7933063Z       %aten_unsqueeze_copy_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {})
2025-03-21T20:26:49.7934496Z       %aten_unsqueeze_copy_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {})
2025-03-21T20:26:49.7935934Z       %aten_permute_copy_default_451 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_121, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7937410Z       %aten_permute_copy_default_453 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_122, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7938890Z       %aten_permute_copy_default_455 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_123, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7940582Z       %aten_convolution_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_451, %p_layers_11_attention_wq_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7942553Z       %aten_convolution_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_453, %p_layers_11_attention_wk_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7944497Z       %aten_convolution_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_455, %p_layers_11_attention_wv_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.7946209Z       %aten_permute_copy_default_452 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_77, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7947655Z       %aten_permute_copy_default_454 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_78, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7949108Z       %aten_permute_copy_default_456 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_79, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7950510Z       %aten_squeeze_copy_dims_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_452, [-1]), kwargs = {})
2025-03-21T20:26:49.7951860Z       %aten_squeeze_copy_dims_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_454, [-1]), kwargs = {})
2025-03-21T20:26:49.7953235Z       %aten_squeeze_copy_dims_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_456, [-1]), kwargs = {})
2025-03-21T20:26:49.7954597Z       %aten_view_copy_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_121, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7955979Z       %aten_view_copy_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_122, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7957366Z       %aten_view_copy_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_123, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.7958755Z       %aten_view_copy_default_201 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_198, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7960177Z       %aten_view_copy_default_202 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_199, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:49.7961797Z       %aten_index_put_default_23 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_11_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_200), kwargs = {})
2025-03-21T20:26:49.7963373Z       %aten_slice_copy_tensor_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_201, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7964707Z       %aten_slice_copy_tensor_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_201, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7966029Z       %aten_slice_copy_tensor_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_202, 4, 0, 1), kwargs = {})
2025-03-21T20:26:49.7967355Z       %aten_slice_copy_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_202, 4, 1, 2), kwargs = {})
2025-03-21T20:26:49.7968735Z       %aten_permute_copy_default_470 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7970217Z       %aten_permute_copy_default_471 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7971647Z       %aten_permute_copy_default_472 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7973074Z       %aten_permute_copy_default_473 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7974496Z       %aten_permute_copy_default_474 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7976084Z       %aten_permute_copy_default_475 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7977511Z       %aten_permute_copy_default_476 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7978995Z       %aten_permute_copy_default_477 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7980416Z       %aten_permute_copy_default_478 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7981882Z       %aten_permute_copy_default_479 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7983292Z       %aten_permute_copy_default_480 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7984749Z       %aten_permute_copy_default_481 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.7986125Z       %aten_squeeze_copy_dims_124 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_44, [4]), kwargs = {})
2025-03-21T20:26:49.7987453Z       %aten_squeeze_copy_dims_125 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_45, [4]), kwargs = {})
2025-03-21T20:26:49.7988777Z       %aten_squeeze_copy_dims_126 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_46, [4]), kwargs = {})
2025-03-21T20:26:49.7990103Z       %aten_squeeze_copy_dims_127 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_47, [4]), kwargs = {})
2025-03-21T20:26:49.7991433Z       %aten_select_copy_int_552 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_470, 0, 0), kwargs = {})
2025-03-21T20:26:49.7992743Z       %aten_select_copy_int_554 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_471, 0, 0), kwargs = {})
2025-03-21T20:26:49.7994053Z       %aten_select_copy_int_556 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_472, 0, 0), kwargs = {})
2025-03-21T20:26:49.7995432Z       %aten_select_copy_int_558 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_473, 0, 0), kwargs = {})
2025-03-21T20:26:49.7996736Z       %aten_select_copy_int_560 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_474, 0, 0), kwargs = {})
2025-03-21T20:26:49.7998032Z       %aten_select_copy_int_562 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_475, 0, 0), kwargs = {})
2025-03-21T20:26:49.7999336Z       %aten_select_copy_int_564 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_476, 0, 0), kwargs = {})
2025-03-21T20:26:49.8000646Z       %aten_select_copy_int_566 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_477, 0, 0), kwargs = {})
2025-03-21T20:26:49.8001961Z       %aten_select_copy_int_568 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_478, 0, 0), kwargs = {})
2025-03-21T20:26:49.8003268Z       %aten_select_copy_int_570 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_479, 0, 0), kwargs = {})
2025-03-21T20:26:49.8004599Z       %aten_select_copy_int_572 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_480, 0, 0), kwargs = {})
2025-03-21T20:26:49.8005906Z       %aten_select_copy_int_574 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_481, 0, 0), kwargs = {})
2025-03-21T20:26:49.8007248Z       %aten_mul_tensor_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_203), kwargs = {})
2025-03-21T20:26:49.8008633Z       %aten_mul_tensor_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_204), kwargs = {})
2025-03-21T20:26:49.8010031Z       %aten_mul_tensor_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_204), kwargs = {})
2025-03-21T20:26:49.8011401Z       %aten_mul_tensor_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_203), kwargs = {})
2025-03-21T20:26:49.8012775Z       %aten_mul_tensor_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_203), kwargs = {})
2025-03-21T20:26:49.8014140Z       %aten_mul_tensor_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_204), kwargs = {})
2025-03-21T20:26:49.8015510Z       %aten_mul_tensor_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_204), kwargs = {})
2025-03-21T20:26:49.8016881Z       %aten_mul_tensor_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_203), kwargs = {})
2025-03-21T20:26:49.8018208Z       %aten_select_copy_int_553 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_552, 0, 0), kwargs = {})
2025-03-21T20:26:49.8019479Z       %aten_select_copy_int_555 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_554, 0, 1), kwargs = {})
2025-03-21T20:26:49.8020799Z       %aten_select_copy_int_557 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_556, 0, 2), kwargs = {})
2025-03-21T20:26:49.8022155Z       %aten_select_copy_int_559 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_558, 0, 3), kwargs = {})
2025-03-21T20:26:49.8023432Z       %aten_select_copy_int_561 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_560, 0, 4), kwargs = {})
2025-03-21T20:26:49.8024698Z       %aten_select_copy_int_563 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_562, 0, 5), kwargs = {})
2025-03-21T20:26:49.8025972Z       %aten_select_copy_int_565 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_564, 0, 6), kwargs = {})
2025-03-21T20:26:49.8027240Z       %aten_select_copy_int_567 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_566, 0, 7), kwargs = {})
2025-03-21T20:26:49.8028542Z       %aten_select_copy_int_569 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_568, 0, 8), kwargs = {})
2025-03-21T20:26:49.8029815Z       %aten_select_copy_int_571 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_570, 0, 9), kwargs = {})
2025-03-21T20:26:49.8031085Z       %aten_select_copy_int_573 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_572, 0, 10), kwargs = {})
2025-03-21T20:26:49.8032367Z       %aten_select_copy_int_575 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_574, 0, 11), kwargs = {})
2025-03-21T20:26:49.8033635Z       %aten_sub_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_167, %aten_mul_tensor_168), kwargs = {})
2025-03-21T20:26:49.8034921Z       %aten_add_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_169, %aten_mul_tensor_170), kwargs = {})
2025-03-21T20:26:49.8036174Z       %aten_sub_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_171, %aten_mul_tensor_172), kwargs = {})
2025-03-21T20:26:49.8037428Z       %aten_add_tensor_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_173, %aten_mul_tensor_174), kwargs = {})
2025-03-21T20:26:49.8039582Z       %aten_cat_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_553, %aten_select_copy_int_555, %aten_select_copy_int_557, %aten_select_copy_int_559, %aten_select_copy_int_561, %aten_select_copy_int_563, %aten_select_copy_int_565, %aten_select_copy_int_567, %aten_select_copy_int_569, %aten_select_copy_int_571, %aten_select_copy_int_573, %aten_select_copy_int_575],), kwargs = {})
2025-03-21T20:26:49.8041801Z       %aten_unsqueeze_copy_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_22, 4), kwargs = {})
2025-03-21T20:26:49.8043164Z       %aten_unsqueeze_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_55, 4), kwargs = {})
2025-03-21T20:26:49.8044564Z       %aten_unsqueeze_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_23, 4), kwargs = {})
2025-03-21T20:26:49.8045947Z       %aten_unsqueeze_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_56, 4), kwargs = {})
2025-03-21T20:26:49.8047293Z       %aten_view_copy_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_47, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.8048715Z       %aten_cat_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_124, %aten_unsqueeze_copy_default_125], -1), kwargs = {})
2025-03-21T20:26:49.8050218Z       %aten_cat_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_126, %aten_unsqueeze_copy_default_127], -1), kwargs = {})
2025-03-21T20:26:49.8051648Z       %aten_view_copy_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_44, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.8052981Z       %aten_view_copy_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_45, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:49.8054382Z       %aten_permute_copy_default_457 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_205, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8056013Z       %aten_index_put_default_22 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_11_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_206), kwargs = {})
2025-03-21T20:26:49.8057636Z       %aten_permute_copy_default_458 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8059063Z       %aten_permute_copy_default_459 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8060513Z       %aten_permute_copy_default_460 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8061975Z       %aten_permute_copy_default_461 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8063401Z       %aten_permute_copy_default_462 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8064829Z       %aten_permute_copy_default_463 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8066245Z       %aten_permute_copy_default_464 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8067667Z       %aten_permute_copy_default_465 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8069085Z       %aten_permute_copy_default_466 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8070560Z       %aten_permute_copy_default_467 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8071977Z       %aten_permute_copy_default_468 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8073408Z       %aten_permute_copy_default_469 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8074772Z       %aten_select_copy_int_528 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_458, 0, 0), kwargs = {})
2025-03-21T20:26:49.8076264Z       %aten_select_copy_int_530 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_459, 0, 0), kwargs = {})
2025-03-21T20:26:49.8077574Z       %aten_select_copy_int_532 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_460, 0, 0), kwargs = {})
2025-03-21T20:26:49.8078880Z       %aten_select_copy_int_534 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_461, 0, 0), kwargs = {})
2025-03-21T20:26:49.8080254Z       %aten_select_copy_int_536 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_462, 0, 0), kwargs = {})
2025-03-21T20:26:49.8081555Z       %aten_select_copy_int_538 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_463, 0, 0), kwargs = {})
2025-03-21T20:26:49.8082845Z       %aten_select_copy_int_540 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_464, 0, 0), kwargs = {})
2025-03-21T20:26:49.8084150Z       %aten_select_copy_int_542 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_465, 0, 0), kwargs = {})
2025-03-21T20:26:49.8085490Z       %aten_select_copy_int_544 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_466, 0, 0), kwargs = {})
2025-03-21T20:26:49.8086796Z       %aten_select_copy_int_546 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_467, 0, 0), kwargs = {})
2025-03-21T20:26:49.8088098Z       %aten_select_copy_int_548 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_468, 0, 0), kwargs = {})
2025-03-21T20:26:49.8089399Z       %aten_select_copy_int_550 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_469, 0, 0), kwargs = {})
2025-03-21T20:26:49.8090684Z       %aten_select_copy_int_529 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_528, 0, 0), kwargs = {})
2025-03-21T20:26:49.8091958Z       %aten_select_copy_int_531 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_530, 0, 1), kwargs = {})
2025-03-21T20:26:49.8093233Z       %aten_select_copy_int_533 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_532, 0, 2), kwargs = {})
2025-03-21T20:26:49.8094503Z       %aten_select_copy_int_535 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_534, 0, 3), kwargs = {})
2025-03-21T20:26:49.8095845Z       %aten_select_copy_int_537 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_536, 0, 4), kwargs = {})
2025-03-21T20:26:49.8097105Z       %aten_select_copy_int_539 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_538, 0, 5), kwargs = {})
2025-03-21T20:26:49.8098369Z       %aten_select_copy_int_541 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_540, 0, 6), kwargs = {})
2025-03-21T20:26:49.8099630Z       %aten_select_copy_int_543 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_542, 0, 7), kwargs = {})
2025-03-21T20:26:49.8100898Z       %aten_select_copy_int_545 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_544, 0, 8), kwargs = {})
2025-03-21T20:26:49.8102229Z       %aten_select_copy_int_547 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_546, 0, 9), kwargs = {})
2025-03-21T20:26:49.8103505Z       %aten_select_copy_int_549 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_548, 0, 10), kwargs = {})
2025-03-21T20:26:49.8104809Z       %aten_select_copy_int_551 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_550, 0, 11), kwargs = {})
2025-03-21T20:26:49.8106999Z       %aten_cat_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_529, %aten_select_copy_int_531, %aten_select_copy_int_533, %aten_select_copy_int_535, %aten_select_copy_int_537, %aten_select_copy_int_539, %aten_select_copy_int_541, %aten_select_copy_int_543, %aten_select_copy_int_545, %aten_select_copy_int_547, %aten_select_copy_int_549, %aten_select_copy_int_551],), kwargs = {})
2025-03-21T20:26:49.8109195Z       %aten_view_copy_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_46, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:49.8110624Z       %aten_permute_copy_default_482 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_207, [0, 1, 3, 2]), kwargs = {})
2025-03-21T20:26:49.8112103Z       %aten_matmul_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_457, %aten_permute_copy_default_482), kwargs = {})
2025-03-21T20:26:49.8113536Z       %aten_mul_tensor_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_22, %_lifted_tensor_constant49), kwargs = {})
2025-03-21T20:26:49.8114856Z       %aten_add_tensor_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_175, %aten_index_tensor_13), kwargs = {})
2025-03-21T20:26:49.8116141Z       %aten__softmax_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_57, -1, False), kwargs = {})
2025-03-21T20:26:49.8117523Z       %aten_matmul_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_11, %aten_view_copy_default_208), kwargs = {})
2025-03-21T20:26:49.8118963Z       %aten_permute_copy_default_483 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8120403Z       %aten_view_copy_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_483, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:49.8121840Z       %aten_unsqueeze_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_215, -1), kwargs = {})
2025-03-21T20:26:49.8123303Z       %aten_permute_copy_default_484 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_128, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8125019Z       %aten_convolution_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_484, %p_layers_11_attention_wo_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.8126707Z       %aten_permute_copy_default_485 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_80, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8128123Z       %aten_squeeze_copy_dims_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_485, [-1]), kwargs = {})
2025-03-21T20:26:49.8129486Z       %aten_add_tensor_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_54, %aten_squeeze_copy_dims_128), kwargs = {})
2025-03-21T20:26:49.8130921Z       %aten_rms_norm_default_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_58, [768], %p_layers_11_ffn_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.8132411Z       %aten_unsqueeze_copy_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_23, -1), kwargs = {})
2025-03-21T20:26:49.8133825Z       %aten_unsqueeze_copy_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_23, -1), kwargs = {})
2025-03-21T20:26:49.8135302Z       %aten_permute_copy_default_486 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_129, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8136785Z       %aten_permute_copy_default_488 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_130, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8138493Z       %aten_convolution_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_486, %p_layers_11_feed_forward_w1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.8140422Z       %aten_convolution_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_488, %p_layers_11_feed_forward_w3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.8142159Z       %aten_permute_copy_default_487 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_81, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8143612Z       %aten_permute_copy_default_489 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_82, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8145020Z       %aten_squeeze_copy_dims_129 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_487, [-1]), kwargs = {})
2025-03-21T20:26:49.8146427Z       %aten_squeeze_copy_dims_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_489, [-1]), kwargs = {})
2025-03-21T20:26:49.8147748Z       %aten_sigmoid_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_129,), kwargs = {})
2025-03-21T20:26:49.8149083Z       %aten_mul_tensor_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_129, %aten_sigmoid_default_11), kwargs = {})
2025-03-21T20:26:49.8150427Z       %aten_mul_tensor_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_178, %aten_squeeze_copy_dims_130), kwargs = {})
2025-03-21T20:26:49.8151780Z       %aten_unsqueeze_copy_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_179, -1), kwargs = {})
2025-03-21T20:26:49.8153219Z       %aten_permute_copy_default_490 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_131, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8154943Z       %aten_convolution_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_490, %p_layers_11_feed_forward_w2_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.8156627Z       %aten_permute_copy_default_491 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_83, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8158033Z       %aten_squeeze_copy_dims_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_491, [-1]), kwargs = {})
2025-03-21T20:26:49.8159370Z       %aten_add_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_58, %aten_squeeze_copy_dims_131), kwargs = {})
2025-03-21T20:26:49.8160748Z       %aten_select_copy_int_576 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_add_tensor_59, 1, -1), kwargs = {})
2025-03-21T20:26:49.8162136Z       %aten_rms_norm_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_select_copy_int_576, [768], %p_norm_weight, 9.999999747378752e-06), kwargs = {})
2025-03-21T20:26:49.8163571Z       %aten_view_copy_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_rms_norm_default_24, [1, 1, 768, 1]), kwargs = {})
2025-03-21T20:26:49.8164979Z       %aten_permute_copy_default_492 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_216, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8166604Z       %aten_convolution_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_492, %p_output_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
2025-03-21T20:26:49.8168234Z       %aten_permute_copy_default_493 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_84, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:26:49.8169650Z       %aten_view_copy_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_493, [1, 32000]), kwargs = {})
2025-03-21T20:26:49.8172622Z       return [aten_index_put_default_1, aten_index_put_default, aten_index_put_default_3, aten_index_put_default_2, aten_index_put_default_5, aten_index_put_default_4, aten_index_put_default_7, aten_index_put_default_6, aten_index_put_default_9, aten_index_put_default_8, aten_index_put_default_11, aten_index_put_default_10, aten_index_put_default_13, aten_index_put_default_12, aten_index_put_default_15, aten_index_put_default_14, aten_index_put_default_17, aten_index_put_default_16, aten_index_put_default_19, aten_index_put_default_18, aten_index_put_default_21, aten_index_put_default_20, aten_index_put_default_23, aten_index_put_default_22, aten_view_copy_default_217]
2025-03-21T20:26:49.8179552Z   %executorch_call_delegate : [num_users=25] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %b_layers_0_attention_kv_cache_past_v_caches, %b_layers_0_attention_kv_cache_past_k_caches, %b_layers_1_attention_kv_cache_past_v_caches, %b_layers_1_attention_kv_cache_past_k_caches, %b_layers_2_attention_kv_cache_past_v_caches, %b_layers_2_attention_kv_cache_past_k_caches, %b_layers_3_attention_kv_cache_past_v_caches, %b_layers_3_attention_kv_cache_past_k_caches, %b_layers_4_attention_kv_cache_past_v_caches, %b_layers_4_attention_kv_cache_past_k_caches, %b_layers_5_attention_kv_cache_past_v_caches, %b_layers_5_attention_kv_cache_past_k_caches, %b_layers_6_attention_kv_cache_past_v_caches, %b_layers_6_attention_kv_cache_past_k_caches, %b_layers_7_attention_kv_cache_past_v_caches, %b_layers_7_attention_kv_cache_past_k_caches, %b_layers_8_attention_kv_cache_past_v_caches, %b_layers_8_attention_kv_cache_past_k_caches, %b_layers_9_attention_kv_cache_past_v_caches, %b_layers_9_attention_kv_cache_past_k_caches, %b_layers_10_attention_kv_cache_past_v_caches, %b_layers_10_attention_kv_cache_past_k_caches, %b_layers_11_attention_kv_cache_past_v_caches, %b_layers_11_attention_kv_cache_past_k_caches, %tokens, %attn_options_input_pos), kwargs = {})
2025-03-21T20:26:49.8184685Z   %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {})
2025-03-21T20:26:49.8185555Z   %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 1), kwargs = {})
2025-03-21T20:26:49.8186420Z   %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 2), kwargs = {})
2025-03-21T20:26:49.8187323Z   %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 3), kwargs = {})
2025-03-21T20:26:49.8188182Z   %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 4), kwargs = {})
2025-03-21T20:26:49.8189036Z   %getitem_5 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 5), kwargs = {})
2025-03-21T20:26:49.8189877Z   %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 6), kwargs = {})
2025-03-21T20:26:49.8190727Z   %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 7), kwargs = {})
2025-03-21T20:26:49.8191586Z   %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 8), kwargs = {})
2025-03-21T20:26:49.8192440Z   %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 9), kwargs = {})
2025-03-21T20:26:49.8193299Z   %getitem_10 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 10), kwargs = {})
2025-03-21T20:26:49.8194165Z   %getitem_11 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 11), kwargs = {})
2025-03-21T20:26:49.8195030Z   %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 12), kwargs = {})
2025-03-21T20:26:49.8195880Z   %getitem_13 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 13), kwargs = {})
2025-03-21T20:26:49.8196744Z   %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 14), kwargs = {})
2025-03-21T20:26:49.8197674Z   %getitem_15 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 15), kwargs = {})
2025-03-21T20:26:49.8198543Z   %getitem_16 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 16), kwargs = {})
2025-03-21T20:26:49.8199407Z   %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 17), kwargs = {})
2025-03-21T20:26:49.8200268Z   %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 18), kwargs = {})
2025-03-21T20:26:49.8201130Z   %getitem_19 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 19), kwargs = {})
2025-03-21T20:26:49.8201978Z   %getitem_20 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 20), kwargs = {})
2025-03-21T20:26:49.8202843Z   %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 21), kwargs = {})
2025-03-21T20:26:49.8203703Z   %getitem_22 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 22), kwargs = {})
2025-03-21T20:26:49.8204567Z   %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 23), kwargs = {})
2025-03-21T20:26:49.8205456Z   %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 24), kwargs = {})
2025-03-21T20:26:49.8206592Z   %aten_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_0_attention_kv_cache_past_v_caches, %getitem), kwargs = {})
2025-03-21T20:26:49.8207998Z   %aten_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_0_attention_kv_cache_past_k_caches, %getitem_1), kwargs = {})
2025-03-21T20:26:49.8209414Z   %aten_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_1_attention_kv_cache_past_v_caches, %getitem_2), kwargs = {})
2025-03-21T20:26:49.8210853Z   %aten_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_1_attention_kv_cache_past_k_caches, %getitem_3), kwargs = {})
2025-03-21T20:26:49.8212253Z   %aten_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_2_attention_kv_cache_past_v_caches, %getitem_4), kwargs = {})
2025-03-21T20:26:49.8213669Z   %aten_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_2_attention_kv_cache_past_k_caches, %getitem_5), kwargs = {})
2025-03-21T20:26:49.8215084Z   %aten_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_3_attention_kv_cache_past_v_caches, %getitem_6), kwargs = {})
2025-03-21T20:26:49.8216503Z   %aten_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_3_attention_kv_cache_past_k_caches, %getitem_7), kwargs = {})
2025-03-21T20:26:49.8217919Z   %aten_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_4_attention_kv_cache_past_v_caches, %getitem_8), kwargs = {})
2025-03-21T20:26:49.8219332Z   %aten_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_4_attention_kv_cache_past_k_caches, %getitem_9), kwargs = {})
2025-03-21T20:26:49.8220750Z   %aten_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_5_attention_kv_cache_past_v_caches, %getitem_10), kwargs = {})
2025-03-21T20:26:49.8222277Z   %aten_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_5_attention_kv_cache_past_k_caches, %getitem_11), kwargs = {})
2025-03-21T20:26:49.8223701Z   %aten_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_6_attention_kv_cache_past_v_caches, %getitem_12), kwargs = {})
2025-03-21T20:26:49.8225130Z   %aten_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_6_attention_kv_cache_past_k_caches, %getitem_13), kwargs = {})
2025-03-21T20:26:49.8226547Z   %aten_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_7_attention_kv_cache_past_v_caches, %getitem_14), kwargs = {})
2025-03-21T20:26:49.8227998Z   %aten_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_7_attention_kv_cache_past_k_caches, %getitem_15), kwargs = {})
2025-03-21T20:26:49.8229407Z   %aten_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_8_attention_kv_cache_past_v_caches, %getitem_16), kwargs = {})
2025-03-21T20:26:49.8230867Z   %aten_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_8_attention_kv_cache_past_k_caches, %getitem_17), kwargs = {})
2025-03-21T20:26:49.8232288Z   %aten_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_9_attention_kv_cache_past_v_caches, %getitem_18), kwargs = {})
2025-03-21T20:26:49.8233714Z   %aten_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_9_attention_kv_cache_past_k_caches, %getitem_19), kwargs = {})
2025-03-21T20:26:49.8235149Z   %aten_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_10_attention_kv_cache_past_v_caches, %getitem_20), kwargs = {})
2025-03-21T20:26:49.8236581Z   %aten_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_10_attention_kv_cache_past_k_caches, %getitem_21), kwargs = {})
2025-03-21T20:26:49.8238037Z   %aten_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_11_attention_kv_cache_past_v_caches, %getitem_22), kwargs = {})
2025-03-21T20:26:49.8239467Z   %aten_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_11_attention_kv_cache_past_k_caches, %getitem_23), kwargs = {})
2025-03-21T20:26:49.8241990Z   return (aten_copy_default, aten_copy_default_1, aten_copy_default_2, aten_copy_default_3, aten_copy_default_4, aten_copy_default_5, aten_copy_default_6, aten_copy_default_7, aten_copy_default_8, aten_copy_default_9, aten_copy_default_10, aten_copy_default_11, aten_copy_default_12, aten_copy_default_13, aten_copy_default_14, aten_copy_default_15, aten_copy_default_16, aten_copy_default_17, aten_copy_default_18, aten_copy_default_19, aten_copy_default_20, aten_copy_default_21, aten_copy_default_22, aten_copy_default_23, getitem_24)
2025-03-21T20:26:49.8243846Z 
2025-03-21T20:26:49.8244445Z [INFO 2025-03-21 20:26:49,584 builder.py:448] Applied partitioners: <executorch.backends.qualcomm.partition.qnn_partitioner.QnnPartitioner object at 0x7fe614aa1e70>
2025-03-21T20:26:49.8245268Z Total delegated subgraphs: 1
2025-03-21T20:26:49.8245589Z Number of delegated nodes: 1992
2025-03-21T20:26:49.8245899Z Number of non-delegated nodes: 49
2025-03-21T20:26:49.8246121Z 
2025-03-21T20:26:49.8246671Z ╒════╤═════════════════════════════╤═══════════════════════════════════╤═══════════════════════════════════════╕
2025-03-21T20:26:49.8247463Z │    │ op_type                     │   occurrences_in_delegated_graphs │   occurrences_in_non_delegated_graphs │
2025-03-21T20:26:49.8248258Z ╞════╪═════════════════════════════╪═══════════════════════════════════╪═══════════════════════════════════════╡
2025-03-21T20:26:49.8248913Z │  0 │ aten__softmax_default       │                                12 │                                     0 │
2025-03-21T20:26:49.8249623Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8250253Z │  1 │ aten__to_copy_default       │                                 2 │                                     0 │
2025-03-21T20:26:49.8250930Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8251537Z │  2 │ aten_add_tensor             │                                60 │                                     0 │
2025-03-21T20:26:49.8252220Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8252844Z │  3 │ aten_cat_default            │                                48 │                                     0 │
2025-03-21T20:26:49.8253560Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8254238Z │  4 │ aten_convolution_default    │                                85 │                                     0 │
2025-03-21T20:26:49.8254947Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8255549Z │  5 │ aten_copy_default           │                                 0 │                                    24 │
2025-03-21T20:26:49.8256224Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8256857Z │  6 │ aten_embedding_default      │                                 1 │                                     0 │
2025-03-21T20:26:49.8257632Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8258263Z │  7 │ aten_index_put_default      │                                24 │                                     0 │
2025-03-21T20:26:49.8258976Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8259607Z │  8 │ aten_index_tensor           │                                14 │                                     0 │
2025-03-21T20:26:49.8260276Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8260903Z │  9 │ aten_matmul_default         │                                24 │                                     0 │
2025-03-21T20:26:49.8261662Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8262307Z │ 10 │ aten_mul_tensor             │                               132 │                                     0 │
2025-03-21T20:26:49.8262986Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8263651Z │ 11 │ aten_permute_copy_default   │                               494 │                                     0 │
2025-03-21T20:26:49.8264409Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8265028Z │ 12 │ aten_rms_norm_default       │                                25 │                                     0 │
2025-03-21T20:26:49.8265718Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8266345Z │ 13 │ aten_select_copy_int        │                               577 │                                     0 │
2025-03-21T20:26:49.8267119Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8267750Z │ 14 │ aten_sigmoid_default        │                                12 │                                     0 │
2025-03-21T20:26:49.8268485Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:49.8269117Z │ 15 │ aten_slice_copy_tensor      │                                48 │                                     0 │
2025-03-21T20:26:49.8269816Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0575550Z │ 16 │ aten_squeeze_copy_dims      │                               132 │                                     0 │
2025-03-21T20:26:59.0577155Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0578400Z │ 17 │ aten_sub_tensor             │                                24 │                                     0 │
2025-03-21T20:26:59.0579680Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0580910Z │ 18 │ aten_unsqueeze_copy_default │                               132 │                                     0 │
2025-03-21T20:26:59.0582475Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0583658Z │ 19 │ aten_view_copy_default      │                               146 │                                     0 │
2025-03-21T20:26:59.0584727Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0585638Z │ 20 │ getitem                     │                                 0 │                                    25 │
2025-03-21T20:26:59.0586675Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:26:59.0587296Z │ 21 │ Total                       │                              1992 │                                    49 │
2025-03-21T20:26:59.0588033Z ╘════╧═════════════════════════════╧═══════════════════════════════════╧═══════════════════════════════════════╛
2025-03-21T20:26:59.0589613Z /pytorch/executorch/exir/emit/_emitter.py:1592: UserWarning: Mutation on a buffer in the model is detected. ExecuTorch assumes buffers that are mutated in the graph have a meaningless initial state, only the shape and dtype will be serialized, unless a pass which sets meta["et_init_buffer"] to True such as InitializedMutableBufferPass is run.
2025-03-21T20:26:59.0591337Z   warnings.warn(
2025-03-21T20:26:59.0591786Z [INFO 2025-03-21 20:26:52,971 builder.py:507] Required memory for activation in bytes: [0, 19395584]
2025-03-21T20:26:59.0592309Z modelname: tinyllama_qnn_fp32
2025-03-21T20:26:59.0592689Z output_file: tinyllama_qnn_fp32.pte
2025-03-21T20:26:59.0593178Z [INFO 2025-03-21 20:26:53,064 utils.py:141] Saved exported program to tinyllama_qnn_fp32.pte
2025-03-21T20:26:59.0593670Z + echo 'Creating tokenizer.bin'
2025-03-21T20:26:59.0593979Z Creating tokenizer.bin
2025-03-21T20:26:59.0594455Z + python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
2025-03-21T20:26:59.0595321Z + RUNTIME_ARGS='--model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1'
2025-03-21T20:26:59.0596081Z + echo 'Running tinyllama_qnn_fp32.pte in portable mode'
2025-03-21T20:26:59.0596508Z Running tinyllama_qnn_fp32.pte in portable mode
2025-03-21T20:26:59.0596876Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:26:59.0597159Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:26:59.0597447Z + cmake_install_executorch_libraries
2025-03-21T20:26:59.0597946Z + echo 'Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a'
2025-03-21T20:26:59.0598594Z Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a
2025-03-21T20:26:59.0599065Z + rm -rf cmake-out
2025-03-21T20:26:59.0601153Z + retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_XNNPACK=OFF -DEXECUTORCH_BUILD_MPS=OFF -DEXECUTORCH_BUILD_COREML=OFF -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:26:59.0605007Z + cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_XNNPACK=OFF -DEXECUTORCH_BUILD_MPS=OFF -DEXECUTORCH_BUILD_COREML=OFF -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:26:59.0607119Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:26:59.0607567Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:26:59.0607954Z -- Detecting C compiler ABI info
2025-03-21T20:26:59.0608286Z -- Detecting C compiler ABI info - done
2025-03-21T20:26:59.0608688Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:26:59.0609096Z -- Detecting C compile features
2025-03-21T20:26:59.0609423Z -- Detecting C compile features - done
2025-03-21T20:26:59.0609772Z -- Detecting CXX compiler ABI info
2025-03-21T20:26:59.0610111Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:26:59.0610523Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:26:59.0610939Z -- Detecting CXX compile features
2025-03-21T20:26:59.0611270Z -- Detecting CXX compile features - done
2025-03-21T20:26:59.0612101Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:26:59.0612853Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:26:59.0613301Z   CMake.
2025-03-21T20:26:59.0613425Z 
2025-03-21T20:26:59.0613658Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:26:59.0614238Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:26:59.0614747Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:26:59.0615012Z 
2025-03-21T20:26:59.0615139Z 
2025-03-21T20:26:59.0615771Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:26:59.0616521Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:26:59.0616947Z   CMake.
2025-03-21T20:26:59.0617081Z 
2025-03-21T20:26:59.0617314Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:26:59.0617888Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:26:59.0618393Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:26:59.0618658Z 
2025-03-21T20:26:59.0618778Z 
2025-03-21T20:26:59.0619018Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:26:59.0619415Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:26:59.0619793Z -- Found Threads: TRUE
2025-03-21T20:26:59.0620490Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:26:59.0621386Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:26:59.0621830Z   CMake.
2025-03-21T20:26:59.0621952Z 
2025-03-21T20:26:59.0622182Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:26:59.0622759Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:26:59.0623273Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:26:59.0623539Z 
2025-03-21T20:26:59.0623665Z 
2025-03-21T20:26:59.0623912Z -- Using python executable 'python'
2025-03-21T20:26:59.0624232Z -- Resolved buck2 as buck2.
2025-03-21T20:26:59.0624526Z -- Killing buck2 daemon
2025-03-21T20:26:59.0624799Z 'buck2 killall'
2025-03-21T20:26:59.0625071Z -- executorch: Generating source lists
2025-03-21T20:26:59.0625660Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:26:59.0626357Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:26:59.0626883Z -- executorch: Using PAL default 'posix'
2025-03-21T20:26:59.0627231Z -- Generating operator lib:
2025-03-21T20:26:59.0627536Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:26:59.0627964Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:26:59.0628398Z --   ROOT_OPS: 
2025-03-21T20:26:59.0628653Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:26:59.0629924Z 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"
2025-03-21T20:26:59.0631092Z -- Generating kernel bindings:
2025-03-21T20:26:59.0631406Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:26:59.0631841Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:26:59.0632279Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:26:59.0632571Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:26:59.0634284Z 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
2025-03-21T20:27:01.5191746Z -- Generating operator lib:
2025-03-21T20:27:01.5192617Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:27:01.5193163Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:27:01.5193681Z --   DEPS: executorch
2025-03-21T20:27:01.5194565Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:27:01.5195579Z -- Generating operator lib:
2025-03-21T20:27:01.5196071Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:01.5196816Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:27:01.5197590Z --   ROOT_OPS: 
2025-03-21T20:27:01.5197999Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:01.5200534Z 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"
2025-03-21T20:27:01.5202695Z -- Generating kernel bindings:
2025-03-21T20:27:01.5203230Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:01.5203979Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:27:01.5204771Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:27:01.5205222Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:27:01.5208455Z 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
2025-03-21T20:27:01.5211277Z -- Generating operator lib:
2025-03-21T20:27:01.5211802Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:01.5212363Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:27:01.5212863Z --   DEPS: executorch
2025-03-21T20:27:01.5213315Z -- Merging kernel yaml files:
2025-03-21T20:27:01.5214216Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:27:01.5215535Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:27:01.5216599Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:27:01.5217327Z -- Generating operator lib:
2025-03-21T20:27:01.5217823Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:01.5218664Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:27:01.5219427Z --   ROOT_OPS: 
2025-03-21T20:27:01.5220044Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:01.5222677Z 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"
2025-03-21T20:27:01.5224979Z -- Generating kernel bindings:
2025-03-21T20:27:01.5225515Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:01.5226362Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:27:01.5227198Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:27:01.5227667Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:27:01.5231054Z 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
2025-03-21T20:27:01.5234238Z -- Generating operator lib:
2025-03-21T20:27:01.5234757Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:01.5235452Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:27:01.5236125Z --   DEPS: executorch
2025-03-21T20:27:01.5237153Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:27:01.5238322Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:01.5239069Z   CMake.
2025-03-21T20:27:01.5239449Z 
2025-03-21T20:27:01.5239938Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:01.5241009Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:01.5241888Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:01.5242350Z 
2025-03-21T20:27:01.5242590Z 
2025-03-21T20:27:01.5242974Z -- Looking for C++ include unistd.h
2025-03-21T20:27:01.5243550Z -- Looking for C++ include unistd.h - found
2025-03-21T20:27:01.5244153Z -- Looking for C++ include stdint.h
2025-03-21T20:27:01.5244738Z -- Looking for C++ include stdint.h - found
2025-03-21T20:27:01.5245342Z -- Looking for C++ include inttypes.h
2025-03-21T20:27:01.5245903Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:27:01.5246468Z -- Looking for C++ include sys/types.h
2025-03-21T20:27:01.5247066Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:27:01.5247664Z -- Looking for C++ include sys/stat.h
2025-03-21T20:27:01.5248234Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:27:01.5248870Z -- Looking for C++ include fnmatch.h
2025-03-21T20:27:01.5249484Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:27:01.5250093Z -- Looking for C++ include stddef.h
2025-03-21T20:27:01.5250710Z -- Looking for C++ include stddef.h - found
2025-03-21T20:27:01.5251297Z -- Check size of uint32_t
2025-03-21T20:27:01.5251790Z -- Check size of uint32_t - done
2025-03-21T20:27:01.5252299Z -- Looking for strtoll
2025-03-21T20:27:01.5252788Z -- Looking for strtoll - found
2025-03-21T20:27:01.5253357Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:27:01.5254044Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:27:01.5255351Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:27:01.5256583Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:01.5257357Z   CMake.
2025-03-21T20:27:01.5257594Z 
2025-03-21T20:27:01.5258008Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:01.5258983Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:01.5259821Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:01.5260295Z 
2025-03-21T20:27:01.5260580Z 
2025-03-21T20:27:01.5260936Z -- pybind11 v2.13.6 
2025-03-21T20:27:01.5261963Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:27:01.5263069Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:27:01.5263857Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:27:01.5264465Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:27:01.5265095Z -- Generating operator lib:
2025-03-21T20:27:01.5265621Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:01.5266411Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:27:01.5267226Z --   ROOT_OPS: 
2025-03-21T20:27:01.5267662Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:01.5270148Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml"
2025-03-21T20:27:01.5272485Z -- Generating kernel bindings:
2025-03-21T20:27:01.5273051Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:01.5273598Z --   FUNCTIONS_YAML: 
2025-03-21T20:27:01.5274224Z --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:27:01.5274974Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:27:01.5281125Z Generated files /pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h
2025-03-21T20:27:01.5286689Z -- Generating operator lib:
2025-03-21T20:27:01.5287222Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:01.5287753Z --   KERNEL_LIBS: quantized_kernels
2025-03-21T20:27:01.5288265Z --   DEPS: executorch
2025-03-21T20:27:01.5288682Z -- 
2025-03-21T20:27:01.5289060Z -- ******** Summary ********
2025-03-21T20:27:01.5289571Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:27:01.5290165Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:27:01.5290739Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:27:01.5291335Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:27:01.5291889Z --   BUCK2                         : buck2
2025-03-21T20:27:01.5292426Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:27:01.5293282Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:27:01.5294166Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:27:01.5294796Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:27:01.5295443Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:27:01.5296092Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:27:01.5296682Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:27:01.5297279Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:27:01.5297919Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:27:01.5298543Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:27:01.5299157Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:27:01.5299795Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:27:01.5300464Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2025-03-21T20:27:01.5301080Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON
2025-03-21T20:27:01.5301790Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:27:01.5302382Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2025-03-21T20:27:01.5303010Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:27:01.5303704Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : ON
2025-03-21T20:27:01.5304392Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:27:01.5305025Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:27:01.5305730Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:27:01.5306311Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:27:01.5306941Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:27:01.5307605Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:27:01.5308246Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:27:01.5308898Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : ON
2025-03-21T20:27:01.5309510Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:27:01.5310057Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:27:01.5310444Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:27:01.5310828Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:27:01.5311312Z --   EXECUTORCH_BUILD_QNN                   : ON
2025-03-21T20:27:01.5311688Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:27:01.5312053Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:27:01.5312432Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:27:01.5312805Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:27:01.5313159Z -- Configuring done (5.7s)
2025-03-21T20:27:01.5313458Z -- Generating done (0.2s)
2025-03-21T20:27:01.5313832Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:27:01.5314348Z + cmake --build cmake-out -j9 --target install --config Release
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2025-03-21T20:27:02.3679240Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:27:02.3679689Z 
2025-03-21T20:27:02.3679870Z 
2025-03-21T20:27:02.3680274Z fatal: No names found, cannot describe anything.
2025-03-21T20:27:02.3680996Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:27:02.3689800Z   git describe failed with exit code: 128
2025-03-21T20:27:02.3690346Z 
2025-03-21T20:27:02.3690564Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:27:02.3691043Z Call Stack (most recent call first):
2025-03-21T20:27:02.3691377Z   CMakeLists.txt:5 (include)
2025-03-21T20:27:02.3691613Z 
2025-03-21T20:27:02.3691808Z 
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2025-03-21T20:27:23.7658674Z Install the project...
2025-03-21T20:27:23.7659094Z -- Install configuration: "Release"
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2025-03-21T20:27:23.7668495Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/portable/Functions.h
2025-03-21T20:27:23.7669442Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/portable/NativeFunctions.h
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2025-03-21T20:27:23.7671552Z -- Installing: /pytorch/executorch/cmake-out/lib/liboptimized_kernels.a
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2025-03-21T20:27:23.7737234Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/optimized/Functions.h
2025-03-21T20:27:23.7738573Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/optimized/NativeFunctions.h
2025-03-21T20:27:23.7739582Z -- Up-to-date: /pytorch/executorch/cmake-out/lib/libcpublas.a
2025-03-21T20:27:23.7740228Z -- Installing: /pytorch/executorch/cmake-out/lib/liboptimized_native_cpu_ops_lib.a
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2025-03-21T20:27:23.7761477Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/exec_aten/util/tensor_util.h
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2025-03-21T20:27:23.7770887Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/hierarchical_allocator.h
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2025-03-21T20:27:23.7779966Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h
2025-03-21T20:27:23.7781142Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h
2025-03-21T20:27:23.7782069Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:27:23.7783018Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h
2025-03-21T20:27:23.7784023Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h
2025-03-21T20:27:23.7785021Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h
2025-03-21T20:27:23.7786103Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h
2025-03-21T20:27:23.7787060Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h
2025-03-21T20:27:23.7788202Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h
2025-03-21T20:27:23.7789562Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h
2025-03-21T20:27:23.7791220Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h
2025-03-21T20:27:23.7792722Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h
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2025-03-21T20:27:23.7797016Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/half.h
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2025-03-21T20:27:25.0804770Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/test
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2025-03-21T20:27:25.0807742Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/threadpool_guard.h
2025-03-21T20:27:25.0809030Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch.a
2025-03-21T20:27:25.0810016Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch_core.a
2025-03-21T20:27:25.0811199Z -- Installing: /pytorch/executorch/cmake-out/lib/cmake/ExecuTorch/executorch-config.cmake
2025-03-21T20:27:25.0812579Z -- Installing: /pytorch/executorch/cmake-out/lib/libqnn_executorch_backend.so
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2025-03-21T20:27:25.0814834Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_flat_tensor.a
2025-03-21T20:27:25.0815913Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module.so
2025-03-21T20:27:25.0817017Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module_static.a
2025-03-21T20:27:25.0818105Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_tensor.a
2025-03-21T20:27:25.0819195Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_threadpool.a
2025-03-21T20:27:25.0820273Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_kernels.a
2025-03-21T20:27:25.0821477Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_ops_lib.a
2025-03-21T20:27:25.0822737Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/Functions.h
2025-03-21T20:27:25.0824259Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/NativeFunctions.h
2025-03-21T20:27:25.0825340Z + cmake_build_llama_runner
2025-03-21T20:27:25.0825850Z + echo 'Building llama runner'
2025-03-21T20:27:25.0826362Z Building llama runner
2025-03-21T20:27:25.0826848Z + pushd extension/llm/tokenizers
2025-03-21T20:27:25.0827605Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch
2025-03-21T20:27:25.0828424Z + echo 'Updating tokenizers submodule'
2025-03-21T20:27:25.0829005Z Updating tokenizers submodule
2025-03-21T20:27:25.0829573Z + git submodule update --init
2025-03-21T20:27:25.0830100Z + popd
2025-03-21T20:27:25.0830486Z /pytorch/executorch
2025-03-21T20:27:25.0830926Z + dir=examples/models/llama
2025-03-21T20:27:25.0833106Z + retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_XNNPACK=OFF -DPYTHON_EXECUTABLE=python -Bcmake-out/examples/models/llama examples/models/llama
2025-03-21T20:27:25.0837134Z + cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_KERNELS_CUSTOM=OFF -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_XNNPACK=OFF -DPYTHON_EXECUTABLE=python -Bcmake-out/examples/models/llama examples/models/llama
2025-03-21T20:27:25.0839436Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:27:25.0840167Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:27:25.0840821Z -- Detecting C compiler ABI info
2025-03-21T20:27:25.0841398Z -- Detecting C compiler ABI info - done
2025-03-21T20:27:25.0842122Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:27:25.0842813Z -- Detecting C compile features
2025-03-21T20:27:25.0843367Z -- Detecting C compile features - done
2025-03-21T20:27:25.0843966Z -- Detecting CXX compiler ABI info
2025-03-21T20:27:25.0844559Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:27:25.0845330Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:27:25.0846094Z -- Detecting CXX compile features
2025-03-21T20:27:25.0846677Z -- Detecting CXX compile features - done
2025-03-21T20:27:25.0847746Z CMake Warning (dev) at CMakeLists.txt:82 (find_package):
2025-03-21T20:27:25.0848711Z   Policy CMP0144 is not set: find_package uses upper-case <PACKAGENAME>_ROOT
2025-03-21T20:27:25.0849755Z   variables.  Run "cmake --help-policy CMP0144" for policy details.  Use the
2025-03-21T20:27:25.0850796Z   cmake_policy command to set the policy and suppress this warning.
2025-03-21T20:27:25.0851385Z 
2025-03-21T20:27:25.0851588Z   CMake variable EXECUTORCH_ROOT is set to:
2025-03-21T20:27:25.0851987Z 
2025-03-21T20:27:25.0852252Z     /pytorch/executorch/examples/models/llama/../../..
2025-03-21T20:27:25.0852757Z 
2025-03-21T20:27:25.0853022Z   Environment variable EXECUTORCH_ROOT is set to:
2025-03-21T20:27:25.0853501Z 
2025-03-21T20:27:25.0853689Z     /pytorch/executorch/.ci
2025-03-21T20:27:25.0854018Z 
2025-03-21T20:27:25.0854560Z   For compatibility, find_package is ignoring the variable, but code in a
2025-03-21T20:27:25.0855435Z   .cmake module might still use it.
2025-03-21T20:27:25.0856187Z This warning is for project developers.  Use -Wno-dev to suppress it.
2025-03-21T20:27:25.0857049Z 
2025-03-21T20:27:25.0857538Z etdump library is not found.
2025-03-21T20:27:25.0858414Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0859292Z bundled_program library is not found.
2025-03-21T20:27:25.0860165Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0861000Z flatccrt library is not found.
2025-03-21T20:27:25.0861969Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0862927Z coremldelegate library is not found.
2025-03-21T20:27:25.0863779Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0864621Z mpsdelegate library is not found.
2025-03-21T20:27:25.0865475Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0866324Z neuron_backend library is not found.
2025-03-21T20:27:25.0867205Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0868044Z custom_ops library is not found.
2025-03-21T20:27:25.0868917Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0869804Z extension_runner_util library is not found.
2025-03-21T20:27:25.0870871Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0871770Z extension_training library is not found.
2025-03-21T20:27:25.0872681Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0873556Z xnnpack_backend library is not found.
2025-03-21T20:27:25.0874459Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0875305Z XNNPACK library is not found.
2025-03-21T20:27:25.0876356Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0877258Z microkernels-prod library is not found.
2025-03-21T20:27:25.0878177Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0879004Z kleidiai library is not found.
2025-03-21T20:27:25.0879862Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0880719Z vulkan_backend library is not found.
2025-03-21T20:27:25.0881642Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0882563Z quantized_ops_aot_lib library is not found.
2025-03-21T20:27:25.0883505Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:25.0884916Z -- executorch: Using source file list /pytorch/executorch/cmake-out/examples/models/llama/runner/../../../../executorch_srcs.cmake
2025-03-21T20:27:25.0886241Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17
2025-03-21T20:27:25.0886961Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success
2025-03-21T20:27:25.0887726Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20
2025-03-21T20:27:25.0888479Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed
2025-03-21T20:27:25.0889204Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:27:25.0889903Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:27:25.0890582Z -- Found Threads: TRUE
2025-03-21T20:27:25.0891032Z -- 
2025-03-21T20:27:25.0891421Z -- ******** Summary ********
2025-03-21T20:27:25.0891961Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:27:25.0892568Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:27:25.0893154Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:27:25.0893767Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:27:25.0894339Z --   BUCK2                         : 
2025-03-21T20:27:25.0894926Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:27:25.0895691Z --   FLATC_EXECUTABLE              : 
2025-03-21T20:27:25.0896293Z --   EXECUTORCH_ENABLE_LOGGING              : 
2025-03-21T20:27:25.0896964Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : 
2025-03-21T20:27:25.0897631Z --   EXECUTORCH_LOG_LEVEL                   : 
2025-03-21T20:27:25.0898286Z --   EXECUTORCH_BUILD_ANDROID_JNI           : 
2025-03-21T20:27:26.0971110Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : 
2025-03-21T20:27:26.0971853Z --   EXECUTORCH_BUILD_CADENCE               : 
2025-03-21T20:27:26.0972515Z --   EXECUTORCH_BUILD_COREML                : 
2025-03-21T20:27:26.0973189Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:27:26.0973853Z --   EXECUTORCH_BUILD_DEVTOOLS              : 
2025-03-21T20:27:26.0974524Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : 
2025-03-21T20:27:26.0975398Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : 
2025-03-21T20:27:26.0976237Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : 
2025-03-21T20:27:26.0976881Z --   EXECUTORCH_BUILD_EXTENSION_LLM : 
2025-03-21T20:27:26.0977516Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : 
2025-03-21T20:27:26.0978205Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : 
2025-03-21T20:27:26.0978885Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : 
2025-03-21T20:27:26.0979565Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : 
2025-03-21T20:27:26.0980228Z --   EXECUTORCH_BUILD_FLATC                 : 
2025-03-21T20:27:26.0980863Z --   EXECUTORCH_BUILD_GFLAGS                : 
2025-03-21T20:27:26.0981597Z --   EXECUTORCH_BUILD_HOST_TARGETS          : 
2025-03-21T20:27:26.0982579Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:27:26.0983288Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : 
2025-03-21T20:27:26.0983966Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:27:26.0984663Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : 
2025-03-21T20:27:26.0985303Z --   EXECUTORCH_BUILD_MPS                   : 
2025-03-21T20:27:26.0985943Z --   EXECUTORCH_BUILD_NEURON                : 
2025-03-21T20:27:26.0986614Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:27:26.0987282Z --   EXECUTORCH_BUILD_PYBIND                : 
2025-03-21T20:27:26.0987930Z --   EXECUTORCH_BUILD_QNN                   : 
2025-03-21T20:27:26.0988563Z --   EXECUTORCH_BUILD_SIZE_TEST             : 
2025-03-21T20:27:26.0989204Z --   EXECUTORCH_BUILD_TESTS                 : 
2025-03-21T20:27:26.0989845Z --   EXECUTORCH_BUILD_VULKAN                : 
2025-03-21T20:27:26.0990515Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:27:26.0991165Z -- Configuring done (1.2s)
2025-03-21T20:27:26.0991659Z -- Generating done (0.3s)
2025-03-21T20:27:26.0992436Z -- Build files have been written to: /pytorch/executorch/cmake-out/examples/models/llama
2025-03-21T20:27:26.0993491Z + cmake --build cmake-out/examples/models/llama -j9 --config Release
2025-03-21T20:27:26.0995169Z [  0%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o
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2025-03-21T20:27:26.0998955Z [  0%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o
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2025-03-21T20:27:26.1003217Z [  0%] Building CXX object runner/abseil-cpp/absl/profiling/CMakeFiles/exponential_biased.dir/internal/exponential_biased.cc.o
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2025-03-21T20:27:26.1011530Z [  2%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/civil_time.dir/internal/cctz/src/civil_time_detail.cc.o
2025-03-21T20:27:26.1013184Z [  2%] Linking CXX static library libabsl_spinlock_wait.a
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2025-03-21T20:27:26.1024431Z [  5%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_seed_gen_exception.dir/seed_gen_exception.cc.o
2025-03-21T20:27:26.1025702Z [  5%] Built target strerror
2025-03-21T20:27:26.1027205Z [  6%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_platform.dir/internal/randen_round_keys.cc.o
2025-03-21T20:27:26.1028849Z [  7%] Linking CXX static library libabsl_log_severity.a
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2025-03-21T20:27:26.1032898Z [  8%] Built target log_severity
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2025-03-21T20:27:26.1034818Z [  9%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/raw_logging_internal.dir/internal/raw_logging.cc.o
2025-03-21T20:27:26.1037113Z [ 10%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/decode_rust_punycode.dir/internal/decode_rust_punycode.cc.o
2025-03-21T20:27:26.1038824Z [ 11%] Linking CXX static library libabsl_exponential_biased.a
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2025-03-21T20:27:26.1041949Z [ 12%] Linking CXX static library libabsl_log_internal_nullguard.a
2025-03-21T20:27:26.1043584Z [ 12%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_if.cc.o
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2025-03-21T20:27:27.3092507Z [ 30%] Building CXX object runner/abseil-cpp/absl/hash/CMakeFiles/low_level_hash.dir/internal/low_level_hash.cc.o
2025-03-21T20:27:27.3094394Z [ 31%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_conditions.dir/internal/conditions.cc.o
2025-03-21T20:27:27.3095942Z [ 32%] Linking CXX static library libabsl_cordz_functions.a
2025-03-21T20:27:27.3096732Z [ 32%] Built target cordz_functions
2025-03-21T20:27:27.3098055Z [ 32%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_randen.dir/internal/randen.cc.o
2025-03-21T20:27:27.3099400Z [ 33%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings_internal.dir/internal/utf8.cc.o
2025-03-21T20:27:27.3100614Z [ 33%] Linking CXX static library libabsl_demangle_internal.a
2025-03-21T20:27:27.3101389Z [ 34%] Linking CXX static library libabsl_malloc_internal.a
2025-03-21T20:27:27.3101923Z [ 34%] Built target demangle_internal
2025-03-21T20:27:27.3102263Z [ 34%] Built target malloc_internal
2025-03-21T20:27:27.3103073Z [ 35%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/stacktrace.dir/stacktrace.cc.o
2025-03-21T20:27:27.3103852Z [ 35%] Linking CXX static library libabsl_crc_cpu_detect.a
2025-03-21T20:27:27.3104470Z [ 35%] Linking CXX static library libabsl_log_internal_conditions.a
2025-03-21T20:27:27.3105767Z [ 35%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/graphcycles_internal.dir/internal/graphcycles.cc.o
2025-03-21T20:27:27.3106881Z [ 35%] Built target crc_cpu_detect
2025-03-21T20:27:27.3107314Z [ 35%] Built target log_internal_conditions
2025-03-21T20:27:27.3108094Z [ 35%] Linking CXX static library libabsl_string_view.a
2025-03-21T20:27:27.3109333Z [ 35%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc.cc.o
2025-03-21T20:27:27.3111127Z [ 36%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/poison.dir/internal/poison.cc.o
2025-03-21T20:27:27.3112220Z [ 36%] Built target string_view
2025-03-21T20:27:27.3113575Z [ 37%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc_x86_arm_combined.cc.o
2025-03-21T20:27:27.3115675Z [ 37%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings_internal.dir/internal/escaping.cc.o
2025-03-21T20:27:27.3117124Z [ 37%] Linking CXX static library libabsl_city.a
2025-03-21T20:27:27.3117793Z [ 37%] Built target city
2025-03-21T20:27:27.3118534Z [ 37%] Linking CXX static library libabsl_low_level_hash.a
2025-03-21T20:27:27.3119738Z [ 37%] Linking CXX static library libabsl_random_internal_randen.a
2025-03-21T20:27:27.3120526Z [ 37%] Built target low_level_hash
2025-03-21T20:27:27.3121319Z [ 37%] Linking CXX static library libabsl_stacktrace.a
2025-03-21T20:27:27.3122069Z [ 37%] Built target random_internal_randen
2025-03-21T20:27:27.3122639Z [ 37%] Built target stacktrace
2025-03-21T20:27:27.3123368Z [ 37%] Linking CXX static library libabsl_poison.a
2025-03-21T20:27:27.3123973Z [ 37%] Built target poison
2025-03-21T20:27:27.3124804Z [ 38%] Linking CXX static library libabsl_graphcycles_internal.a
2025-03-21T20:27:27.3125601Z [ 38%] Built target graphcycles_internal
2025-03-21T20:27:27.3126468Z [ 38%] Linking CXX static library libabsl_crc_internal.a
2025-03-21T20:27:27.3127507Z [ 39%] Linking CXX static library libabsl_strings_internal.a
2025-03-21T20:27:27.3128249Z [ 39%] Built target crc_internal
2025-03-21T20:27:27.3128796Z [ 39%] Built target strings_internal
2025-03-21T20:27:27.3129954Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/ascii.cc.o
2025-03-21T20:27:27.3131596Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/charconv.cc.o
2025-03-21T20:27:27.3133146Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/escaping.cc.o
2025-03-21T20:27:27.3134825Z [ 41%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/charconv_bigint.cc.o
2025-03-21T20:27:27.3136865Z [ 41%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/damerau_levenshtein_distance.cc.o
2025-03-21T20:27:27.3138859Z [ 41%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/charconv_parse.cc.o
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2025-03-21T20:27:27.3142539Z [ 41%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/match.cc.o
2025-03-21T20:27:27.3144224Z [ 42%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/memutil.cc.o
2025-03-21T20:27:27.3145923Z [ 43%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/numbers.cc.o
2025-03-21T20:27:27.3147555Z [ 43%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/str_cat.cc.o
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2025-03-21T20:27:27.3150588Z [ 44%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/str_split.cc.o
2025-03-21T20:27:27.3152179Z [ 44%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/substitute.cc.o
2025-03-21T20:27:27.3153498Z [ 44%] Linking CXX static library libabsl_strings.a
2025-03-21T20:27:27.3154172Z [ 44%] Built target strings
2025-03-21T20:27:27.3155340Z [ 44%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/symbolize.dir/symbolize.cc.o
2025-03-21T20:27:27.3157029Z [ 44%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/civil_time.cc.o
2025-03-21T20:27:27.3158670Z [ 44%] Building CXX object runner/abseil-cpp/absl/hash/CMakeFiles/hash.dir/internal/hash.cc.o
2025-03-21T20:27:27.3160745Z [ 45%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_commandlineflag.dir/commandlineflag.cc.o
2025-03-21T20:27:27.3164277Z [ 46%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/arg.cc.o
2025-03-21T20:27:27.3165783Z [ 46%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_fnmatch.dir/internal/fnmatch.cc.o
2025-03-21T20:27:27.3167878Z [ 46%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_seed_material.dir/internal/seed_material.cc.o
2025-03-21T20:27:27.3169941Z [ 47%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_proto.dir/internal/proto.cc.o
2025-03-21T20:27:27.3172030Z [ 48%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_distributions.dir/discrete_distribution.cc.o
2025-03-21T20:27:28.4989215Z [ 48%] Linking CXX static library libabsl_flags_commandlineflag.a
2025-03-21T20:27:28.4990442Z [ 48%] Linking CXX static library libabsl_log_internal_proto.a
2025-03-21T20:27:28.4991617Z [ 49%] Linking CXX static library libabsl_log_internal_fnmatch.a
2025-03-21T20:27:28.4992465Z [ 49%] Built target flags_commandlineflag
2025-03-21T20:27:28.4993823Z [ 49%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/bind.cc.o
2025-03-21T20:27:28.4995071Z [ 50%] Linking CXX static library libabsl_symbolize.a
2025-03-21T20:27:28.4995770Z [ 50%] Built target log_internal_proto
2025-03-21T20:27:28.4996335Z [ 50%] Built target log_internal_fnmatch
2025-03-21T20:27:28.4997801Z [ 50%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/extension.cc.o
2025-03-21T20:27:28.5000153Z [ 51%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/float_conversion.cc.o
2025-03-21T20:27:28.5002024Z [ 51%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/clock.cc.o
2025-03-21T20:27:28.5002947Z [ 51%] Built target symbolize
2025-03-21T20:27:28.5004322Z [ 51%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/output.cc.o
2025-03-21T20:27:28.5006387Z [ 51%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_distributions.dir/gaussian_distribution.cc.o
2025-03-21T20:27:28.5008029Z [ 51%] Linking CXX static library libabsl_random_internal_seed_material.a
2025-03-21T20:27:28.5009751Z [ 51%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/parser.cc.o
2025-03-21T20:27:28.5011101Z [ 51%] Built target random_internal_seed_material
2025-03-21T20:27:28.5012956Z [ 51%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_private_handle_accessor.dir/internal/private_handle_accessor.cc.o
2025-03-21T20:27:28.5014562Z [ 51%] Linking CXX static library libabsl_hash.a
2025-03-21T20:27:28.5015225Z [ 51%] Built target hash
2025-03-21T20:27:28.5016272Z [ 52%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/duration.cc.o
2025-03-21T20:27:28.5018009Z [ 52%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_pool_urbg.dir/internal/pool_urbg.cc.o
2025-03-21T20:27:28.5019746Z [ 52%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/format.cc.o
2025-03-21T20:27:28.5021182Z [ 52%] Linking CXX static library libabsl_random_distributions.a
2025-03-21T20:27:28.5022515Z [ 53%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/time.cc.o
2025-03-21T20:27:28.5023612Z [ 53%] Built target random_distributions
2025-03-21T20:27:28.5025112Z [ 54%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/examine_stack.dir/internal/examine_stack.cc.o
2025-03-21T20:27:28.5026728Z [ 55%] Linking CXX static library libabsl_str_format_internal.a
2025-03-21T20:27:28.5027531Z [ 55%] Built target str_format_internal
2025-03-21T20:27:28.5028512Z [ 55%] Linking CXX static library libabsl_flags_private_handle_accessor.a
2025-03-21T20:27:28.5029886Z [ 55%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/crc32c.cc.o
2025-03-21T20:27:28.5031497Z [ 55%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_marshalling.dir/marshalling.cc.o
2025-03-21T20:27:28.5033978Z [ 56%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_distribution_test_util.dir/internal/chi_square.cc.o
2025-03-21T20:27:28.5035467Z [ 56%] Built target flags_private_handle_accessor
2025-03-21T20:27:28.5037395Z [ 56%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_distribution_test_util.dir/internal/distribution_test_util.cc.o
2025-03-21T20:27:28.5039396Z [ 57%] Linking CXX static library libabsl_random_internal_pool_urbg.a
2025-03-21T20:27:28.5041061Z [ 57%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_memcpy_fallback.cc.o
2025-03-21T20:27:28.5042318Z [ 57%] Built target random_internal_pool_urbg
2025-03-21T20:27:28.5043764Z [ 57%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_seed_sequences.dir/seed_sequences.cc.o
2025-03-21T20:27:28.5045796Z [ 58%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_memcpy_x86_arm_combined.cc.o
2025-03-21T20:27:28.5047201Z [ 58%] Linking CXX static library libabsl_examine_stack.a
2025-03-21T20:27:28.5048147Z [ 58%] Linking CXX static library libabsl_time.a
2025-03-21T20:27:28.5048823Z [ 58%] Built target examine_stack
2025-03-21T20:27:28.5049298Z [ 58%] Built target time
2025-03-21T20:27:28.5050759Z [ 59%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/kernel_timeout_internal.dir/internal/kernel_timeout.cc.o
2025-03-21T20:27:28.5053099Z [ 59%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/failure_signal_handler.dir/failure_signal_handler.cc.o
2025-03-21T20:27:28.5055234Z [ 59%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_non_temporal_memcpy.cc.o
2025-03-21T20:27:28.5056945Z [ 59%] Linking CXX static library libabsl_random_internal_distribution_test_util.a
2025-03-21T20:27:28.5058193Z [ 60%] Linking CXX static library libabsl_flags_marshalling.a
2025-03-21T20:27:28.5059684Z [ 61%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_globals.dir/internal/globals.cc.o
2025-03-21T20:27:28.5060920Z [ 61%] Built target random_internal_distribution_test_util
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2025-03-21T20:27:28.5062938Z [ 61%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_entry.dir/log_entry.cc.o
2025-03-21T20:27:28.5064270Z [ 62%] Linking CXX static library libabsl_random_seed_sequences.a
2025-03-21T20:27:28.5065066Z [ 62%] Built target random_seed_sequences
2025-03-21T20:27:28.5066003Z [ 62%] Linking CXX static library libabsl_failure_signal_handler.a
2025-03-21T20:27:28.5066900Z [ 62%] Built target failure_signal_handler
2025-03-21T20:27:28.5067798Z [ 62%] Linking CXX static library libabsl_kernel_timeout_internal.a
2025-03-21T20:27:28.5068644Z [ 62%] Built target kernel_timeout_internal
2025-03-21T20:27:28.5069980Z [ 62%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/barrier.cc.o
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2025-03-21T20:27:28.5074242Z [ 63%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/futex_waiter.cc.o
2025-03-21T20:27:28.5076636Z [ 63%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/create_thread_identity.cc.o
2025-03-21T20:27:28.5078919Z [ 63%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/per_thread_sem.cc.o
2025-03-21T20:27:28.5081090Z [ 64%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/pthread_waiter.cc.o
2025-03-21T20:27:28.5082977Z [ 64%] Linking CXX static library libabsl_log_internal_globals.a
2025-03-21T20:27:28.5083898Z [ 65%] Linking CXX static library libabsl_log_entry.a
2025-03-21T20:27:28.5084322Z [ 65%] Built target log_internal_globals
2025-03-21T20:27:28.5085101Z [ 65%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_format.dir/internal/log_format.cc.o
2025-03-21T20:27:28.5085755Z [ 65%] Built target log_entry
2025-03-21T20:27:28.5086172Z [ 66%] Linking CXX static library libabsl_crc32c.a
2025-03-21T20:27:28.5086873Z [ 66%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_sink.dir/log_sink.cc.o
2025-03-21T20:27:28.5087441Z [ 66%] Built target crc32c
2025-03-21T20:27:28.5088142Z [ 66%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_cord_state.dir/internal/crc_cord_state.cc.o
2025-03-21T20:27:28.5089270Z [ 66%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/sem_waiter.cc.o
2025-03-21T20:27:28.5090487Z [ 66%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/stdcpp_waiter.cc.o
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2025-03-21T20:27:28.5092890Z [ 67%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/win32_waiter.cc.o
2025-03-21T20:27:28.5094058Z [ 67%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/notification.cc.o
2025-03-21T20:27:28.5095143Z [ 68%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/mutex.cc.o
2025-03-21T20:27:28.5095962Z [ 68%] Linking CXX static library libabsl_log_internal_format.a
2025-03-21T20:27:28.5096415Z [ 68%] Built target log_internal_format
2025-03-21T20:27:28.5096885Z [ 68%] Linking CXX static library libabsl_log_sink.a
2025-03-21T20:27:28.5097269Z [ 68%] Built target log_sink
2025-03-21T20:27:28.5097719Z [ 68%] Linking CXX static library libabsl_crc_cord_state.a
2025-03-21T20:27:28.5098148Z [ 68%] Built target crc_cord_state
2025-03-21T20:27:28.5098894Z [ 68%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_internal.cc.o
2025-03-21T20:27:28.5100065Z [ 68%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree.cc.o
2025-03-21T20:27:28.5101294Z [ 69%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree_navigator.cc.o
2025-03-21T20:27:28.5102458Z [ 69%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree_reader.cc.o
2025-03-21T20:27:30.6527175Z [ 69%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_crc.cc.o
2025-03-21T20:27:30.6529296Z [ 70%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_consume.cc.o
2025-03-21T20:27:30.6531021Z [ 70%] Linking CXX static library libabsl_synchronization.a
2025-03-21T20:27:30.6531765Z [ 70%] Built target synchronization
2025-03-21T20:27:30.6533283Z [ 71%] Building CXX object runner/abseil-cpp/absl/container/CMakeFiles/hashtablez_sampler.dir/internal/hashtablez_sampler.cc.o
2025-03-21T20:27:30.6535305Z [ 71%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cordz_handle.dir/internal/cordz_handle.cc.o
2025-03-21T20:27:30.6537198Z [ 72%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_program_name.dir/internal/program_name.cc.o
2025-03-21T20:27:30.6539708Z [ 72%] Building CXX object runner/abseil-cpp/absl/container/CMakeFiles/hashtablez_sampler.dir/internal/hashtablez_sampler_force_weak_definition.cc.o
2025-03-21T20:27:30.6542431Z [ 72%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/vlog_config_internal.dir/internal/vlog_config.cc.o
2025-03-21T20:27:30.6543917Z [ 72%] Linking CXX static library libabsl_cord_internal.a
2025-03-21T20:27:30.6544696Z [ 72%] Built target cord_internal
2025-03-21T20:27:30.6545563Z [ 72%] Linking CXX static library libabsl_flags_program_name.a
2025-03-21T20:27:30.6546382Z [ 72%] Built target flags_program_name
2025-03-21T20:27:30.6547621Z [ 72%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_config.dir/usage_config.cc.o
2025-03-21T20:27:30.6549147Z [ 72%] Linking CXX static library libabsl_cordz_handle.a
2025-03-21T20:27:30.6549852Z [ 72%] Built target cordz_handle
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2025-03-21T20:27:30.6648108Z [ 94%] Linking CXX static library libre2.a
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2025-03-21T20:27:30.6649769Z [ 94%] Building CXX object runner/CMakeFiles/llama_runner.dir/__/tokenizer/llama_tiktoken.cpp.o
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2025-03-21T20:49:32.9309662Z [ 97%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
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2025-03-21T20:49:32.9314399Z [ 97%] Linking CXX static library libabsl_flags_usage.a
2025-03-21T20:49:32.9314807Z [ 97%] Built target flags_usage
2025-03-21T20:49:32.9315663Z [ 97%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:49:32.9316915Z [ 98%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o
2025-03-21T20:49:32.9318062Z [ 98%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o
2025-03-21T20:49:32.9319056Z [ 98%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_parse.dir/parse.cc.o
2025-03-21T20:49:32.9320163Z [ 99%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
2025-03-21T20:49:32.9320976Z [ 99%] Linking CXX shared library libllama_runner.so
2025-03-21T20:49:32.9321559Z [100%] Linking CXX static library libabsl_flags_parse.a
2025-03-21T20:49:32.9321970Z [100%] Built target flags_parse
2025-03-21T20:49:32.9322287Z [100%] Built target llama_runner
2025-03-21T20:49:32.9322781Z [100%] Building CXX object CMakeFiles/llama_main.dir/main.cpp.o
2025-03-21T20:49:32.9323329Z [100%] Linking CXX executable llama_main
2025-03-21T20:49:32.9323705Z [100%] Built target llama_main
2025-03-21T20:49:32.9324055Z ++ date +%H:%M:%S
2025-03-21T20:49:32.9324375Z + NOW=20:27:31
2025-03-21T20:49:32.9324666Z + echo 'Starting to run llama runner at 20:27:31'
2025-03-21T20:49:32.9325049Z Starting to run llama runner at 20:27:31
2025-03-21T20:49:32.9325918Z + cmake-out/examples/models/llama/llama_main --model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1
2025-03-21T20:49:32.9326937Z [INFO] [Qnn ExecuTorch]: Deserializing processed data using QnnContextCustomProtocol
2025-03-21T20:49:32.9327504Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:49:32.9327999Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Initializing HtpProvider
2025-03-21T20:49:32.9328320Z 
2025-03-21T20:49:32.9328618Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:49:32.9329219Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in RESTORE MODE.
2025-03-21T20:49:32.9329872Z [INFO] [Qnn ExecuTorch]: QnnContextCustomProtocol expected magic number: 0x5678abcd but get: 0x2000000
2025-03-21T20:49:32.9330580Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:49:32.9330918Z 
2025-03-21T20:49:32.9331362Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:49:32.9331929Z 
2025-03-21T20:49:32.9332117Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:49:32.9332597Z invalid char[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:49:32.9333047Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:49:32.9333417Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:49:32.9333782Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:49:32.9334118Z ++ date +%H:%M:%S
2025-03-21T20:49:32.9334351Z + NOW=20:49:32
2025-03-21T20:49:32.9334608Z + echo 'Finished at 20:49:32'
2025-03-21T20:49:32.9334898Z Finished at 20:49:32
2025-03-21T20:49:32.9335160Z ++ cat result.txt
2025-03-21T20:49:32.9335446Z + RESULT='Once upon a time, there was a little girl
2025-03-21T20:49:32.9336843Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588851776,"model_load_end_ms":1742588852123,"inference_start_ms":1742589534114,"inference_end_ms":1742590172862,"prompt_eval_end_ms":1742589656973,"first_token_ms":1742589656973,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000}'
2025-03-21T20:49:32.9338299Z + EXPECTED_PREFIX='Once upon a time,'
2025-03-21T20:49:32.9338661Z + [[ Once upon a time, there was a little girl
2025-03-21T20:49:32.9340170Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588851776,"model_load_end_ms":1742588852123,"inference_start_ms":1742589534114,"inference_end_ms":1742590172862,"prompt_eval_end_ms":1742589656973,"first_token_ms":1742589656973,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000} == \O\n\c\e\ \u\p\o\n\ \a\ \t\i\m\e\,* ]]
2025-03-21T20:49:32.9341817Z + echo 'Expected result prefix: Once upon a time,'
2025-03-21T20:49:32.9342215Z Expected result prefix: Once upon a time,
2025-03-21T20:49:32.9342646Z + echo 'Actual result: Once upon a time, there was a little girl
2025-03-21T20:49:32.9344133Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588851776,"model_load_end_ms":1742588852123,"inference_start_ms":1742589534114,"inference_end_ms":1742590172862,"prompt_eval_end_ms":1742589656973,"first_token_ms":1742589656973,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000}'
2025-03-21T20:49:32.9345551Z Actual result: Once upon a time, there was a little girl
2025-03-21T20:49:32.9346956Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588851776,"model_load_end_ms":1742588852123,"inference_start_ms":1742589534114,"inference_end_ms":1742590172862,"prompt_eval_end_ms":1742589656973,"first_token_ms":1742589656973,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000}
2025-03-21T20:49:32.9348358Z + echo Success
2025-03-21T20:49:32.9348600Z Success
2025-03-21T20:49:32.9348842Z + prepare_artifacts_upload
2025-03-21T20:49:32.9349128Z + '[' -n '' ']'
2025-03-21T20:49:32.9349361Z + cleanup_files
2025-03-21T20:49:32.9349652Z + echo 'Deleting downloaded and generated files'
2025-03-21T20:49:32.9350037Z Deleting downloaded and generated files
2025-03-21T20:49:32.9350374Z + rm stories110M.pt
2025-03-21T20:49:32.9350638Z + rm tokenizer.model
2025-03-21T20:49:32.9350893Z + rm tokenizer.bin
2025-03-21T20:49:32.9351155Z + rm tinyllama_qnn_fp32.pte
2025-03-21T20:49:32.9351437Z + rm result.txt
2025-03-21T20:49:32.9351682Z + rm params.json
2025-03-21T20:49:32.9402704Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:49:32.9403100Z with:
2025-03-21T20:49:32.9403413Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:32.9403843Z   fail-on-empty: false
2025-03-21T20:49:32.9404105Z env:
2025-03-21T20:49:32.9404395Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:32.9404776Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:32.9405067Z   PR_NUMBER: 
2025-03-21T20:49:32.9408178Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:32.9411487Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:32.9412097Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:32.9412802Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:32.9413220Z ##[endgroup]
2025-03-21T20:49:33.0000325Z Prepare all required actions
2025-03-21T20:49:33.0037841Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:49:33.0038239Z with:
2025-03-21T20:49:33.0038610Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:49:33.0039194Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:33.0039640Z env:
2025-03-21T20:49:33.0039911Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:33.0040295Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:33.0040604Z   PR_NUMBER: 
2025-03-21T20:49:33.0043710Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:33.0047082Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:33.0047689Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:33.0048259Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:33.0048722Z ##[endgroup]
2025-03-21T20:49:33.0071468Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:33.0072198Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:33.0079913Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:33.0080314Z env:
2025-03-21T20:49:33.0080599Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:33.0080981Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:33.0081283Z   PR_NUMBER: 
2025-03-21T20:49:33.0084357Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:33.0087640Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:33.0088244Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:33.0088811Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:33.0089352Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:33.0089917Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:49:33.0090362Z ##[endgroup]
2025-03-21T20:49:33.0259869Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-03-21T20:49:33.2315835Z latest: Pulling from tool/alpine
2025-03-21T20:49:33.2319127Z 540db60ca938: Pulling fs layer
2025-03-21T20:49:33.3327285Z 540db60ca938: Download complete
2025-03-21T20:49:33.4097849Z 540db60ca938: Pull complete
2025-03-21T20:49:33.4209316Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-03-21T20:49:33.4247930Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-03-21T20:49:34.7286292Z Prepare all required actions
2025-03-21T20:49:34.7312793Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:49:34.7313183Z with:
2025-03-21T20:49:34.7313485Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:49:34.7313995Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:34.7314448Z env:
2025-03-21T20:49:34.7314733Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:34.7315097Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:34.7315397Z   PR_NUMBER: 
2025-03-21T20:49:34.7318525Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:34.7321947Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:34.7322577Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:34.7323153Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:34.7323555Z ##[endgroup]
2025-03-21T20:49:34.7362629Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:34.7363357Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:34.7374656Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:34.7375062Z env:
2025-03-21T20:49:34.7375352Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:34.7375942Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:34.7376236Z   PR_NUMBER: 
2025-03-21T20:49:34.7379335Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:34.7382685Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:34.7383292Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:34.7383858Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:34.7384390Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:34.7384904Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:49:34.7385275Z ##[endgroup]
2025-03-21T20:49:35.6659984Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:49:35.6660620Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:49:35.6661108Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:49:35.6661800Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:49:35.6662441Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:49:35.6662966Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:49:35.6663423Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:49:35.6663786Z   fi
2025-03-21T20:49:35.6664085Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:49:35.6664563Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:49:35.6664985Z   fi
2025-03-21T20:49:35.6665268Z fi
2025-03-21T20:49:35.6665581Z 
2025-03-21T20:49:35.6665825Z upload_docs=0
2025-03-21T20:49:35.6666252Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:49:35.6666738Z # empty folders do not count
2025-03-21T20:49:35.6667220Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:49:35.6667832Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:49:35.6668348Z   # upload will probably not work correctly
2025-03-21T20:49:35.6668716Z   upload_docs=1
2025-03-21T20:49:35.6668991Z fi
2025-03-21T20:49:35.6669326Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:49:35.6675173Z shell: /usr/bin/bash -e {0}
2025-03-21T20:49:35.6675477Z env:
2025-03-21T20:49:35.6675990Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:35.6676388Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:35.6676700Z   PR_NUMBER: 
2025-03-21T20:49:35.6679801Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:35.6683268Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:35.6683881Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:35.6684451Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:35.6684876Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:49:35.6685157Z ##[endgroup]
2025-03-21T20:49:35.6778108Z Prepare all required actions
2025-03-21T20:49:35.6810054Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:49:35.6810438Z with:
2025-03-21T20:49:35.6810663Z env:
2025-03-21T20:49:35.6810940Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:35.6811309Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:35.6811611Z   PR_NUMBER: 
2025-03-21T20:49:35.6814713Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:35.6817995Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:35.6818599Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:35.6819168Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:35.6819580Z ##[endgroup]
2025-03-21T20:49:35.6842074Z ##[group]Run set -eou pipefail
2025-03-21T20:49:35.6842422Z set -eou pipefail
2025-03-21T20:49:35.6842722Z 
2025-03-21T20:49:35.6843200Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:49:35.6843678Z for _ in $(seq 1440); do
2025-03-21T20:49:35.6844040Z     # Break if no ssh session exists anymore
2025-03-21T20:49:35.6844424Z     if [ "$(who)" = "" ]; then
2025-03-21T20:49:35.6844744Z       break
2025-03-21T20:49:35.6845005Z     fi
2025-03-21T20:49:35.6845243Z     echo "."
2025-03-21T20:49:35.6845515Z     sleep 5
2025-03-21T20:49:35.6845779Z done
2025-03-21T20:49:35.6851419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:35.6851821Z env:
2025-03-21T20:49:35.6852105Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:35.6852551Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:35.6852862Z   PR_NUMBER: 
2025-03-21T20:49:35.6855926Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:35.6859226Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:35.6859824Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:35.6860396Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:35.6860806Z ##[endgroup]
2025-03-21T20:49:35.6883467Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:49:35.6943896Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:49:35.6944631Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:49:35.6945080Z # shellcheck disable=SC2046
2025-03-21T20:49:35.6945427Z docker stop $(docker ps -q) || true
2025-03-21T20:49:35.6945797Z # Prune all of the docker images
2025-03-21T20:49:35.6946146Z docker system prune -af
2025-03-21T20:49:35.6951196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:35.6951593Z env:
2025-03-21T20:49:35.6951880Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:35.6952253Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:35.6952561Z   PR_NUMBER: 
2025-03-21T20:49:35.6955636Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:35.6958907Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:35.6959506Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:35.6960078Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:35.6960555Z ##[endgroup]
2025-03-21T20:49:46.5457607Z ce7081190560
2025-03-21T20:49:47.3393950Z Deleted Containers:
2025-03-21T20:49:47.3394430Z ce7081190560c5ea5639acb9a57ed937ae4b583bd122851e980827b9949374f8
2025-03-21T20:49:47.3394787Z 
2025-03-21T20:49:50.0513762Z Deleted Images:
2025-03-21T20:49:50.0514541Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:49:50.0515843Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk@sha256:d38559c98aeb82552e009bbb7b17d76adfa19c8f3fb874ea99a5e76d87757f76
2025-03-21T20:49:50.0516899Z deleted: sha256:a30343f4b72f0dce49d6d4823ed055cd99145a3bc06228740f811eb1decc1863
2025-03-21T20:49:50.0517767Z deleted: sha256:dcbb28d0046263c2430b67be3aa47d5eeae988406651c479166a85d1f2dc5352
2025-03-21T20:49:50.0518424Z deleted: sha256:9eb84eff28220b78ca23a97d30406ba503bed179b002ea84bf7374f638729e3d
2025-03-21T20:49:50.0519099Z deleted: sha256:1e08d848f7a107eb88f5b1a9b4514efc7f1c8dcd0851dd1522bf5910c9a64b6e
2025-03-21T20:49:50.0519752Z deleted: sha256:338177c78bc0a768d9773592fdf8b7b0698a67566a991a8b485100213ca9fbc4
2025-03-21T20:49:50.0520402Z deleted: sha256:1735d6e22433f10e5a460ac53455294f66b52df308d6b6be04dd20bba3bc489b
2025-03-21T20:49:50.0521080Z deleted: sha256:e916ccba91a2ab63063cc7db425ff08ff4285196cf9b87316350e73b07ee4a38
2025-03-21T20:49:50.0521748Z deleted: sha256:50076809f40f30d632e24ddc5aed1a5bd9a9865dd2866c1ab23c86bf633e7962
2025-03-21T20:49:50.0522422Z deleted: sha256:f9be2a6a76147aff49d05a4ea9ab782cc03d178fcdc373fd1823e47d21271049
2025-03-21T20:49:50.0523103Z deleted: sha256:bcff32a2d3890e40a7d4fbff9b5e94b9990921f0d31050cc14aed0fbce2bdabc
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2025-03-21T20:49:50.0542886Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
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2025-03-21T20:49:50.0544872Z 
2025-03-21T20:49:50.0564294Z Total reclaimed space: 17.78GB
2025-03-21T20:49:50.0621331Z ##[group]Run set +e
2025-03-21T20:49:50.0621837Z set +e
2025-03-21T20:49:50.0622293Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:49:50.0623032Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:49:50.0623690Z else
2025-03-21T20:49:50.0624162Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:49:50.0624750Z fi
2025-03-21T20:49:50.0625111Z set -e
2025-03-21T20:49:50.0632946Z shell: /usr/bin/bash -e {0}
2025-03-21T20:49:50.0633450Z env:
2025-03-21T20:49:50.0633920Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:50.0634593Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:50.0635107Z   PR_NUMBER: 
2025-03-21T20:49:50.0640805Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=fp32
MODE=qnn
PT2E_QUANTIZE=qnn_8a8w

./install_requirements.sh --use-pt-pinned-commit
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"

2025-03-21T20:49:50.0646744Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:50.0647835Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:50.0648801Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:50.0649506Z   NO_SUDO: false
2025-03-21T20:49:50.0649886Z ##[endgroup]
2025-03-21T20:49:51.2212307Z Post job cleanup.
2025-03-21T20:49:51.3219344Z Post job cleanup.
2025-03-21T20:49:51.4135514Z [command]/usr/bin/git version
2025-03-21T20:49:51.4186247Z git version 2.47.1
2025-03-21T20:49:51.4225624Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7aba494c-3118-4575-8f3f-f147d3e570c6' before making global git config changes
2025-03-21T20:49:51.4226595Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:49:51.4230511Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:49:51.4258993Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:49:51.4294173Z [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' || :"
2025-03-21T20:49:51.4556550Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:49:51.4573334Z http.https://github.com/.extraheader
2025-03-21T20:49:51.4582947Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:49:51.4607556Z [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' || :"
2025-03-21T20:49:51.4907133Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:49:51.4933670Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:49:51.4939251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:51.4939662Z ##[endgroup]
2025-03-21T20:49:57.0593926Z Cleaning up orphan processes